Revisiting the Charge Concept in HBT/BJT Models

Size: px
Start display at page:

Download "Revisiting the Charge Concept in HBT/BJT Models"

Transcription

1 evisiting the Charge Concept in HBT/BJT Moels Zoltan Huska an Ehrenfrie Seebacher austriamicrosystems AG 23r Bipolar Arbeitkeis BipAK Meeting at STM Crolles, France, 5 October 2

2 Outline recalling the junction epletion approimation the al charge-al junction voltage relation introuction of the available charge concept overview of the various charge applications correcting the temperature epenence of rbi suggesting alternative MNA charge for moel optimiation summary 2 2 austriamicrosystems

3 Built in an al voltages The metallurgical junction is in, the oping concentrations in < an > are of opposite kins. The electron an hole currents in the structure can be written as [] I n q A E D n ln n E n + T I p q A E D p ln p p Besies the familiar notations A E is the junction area an T is the thermal voltage. When both currents are ero the electric fiel can be epresse e.g. from the left equation yieling the built in voltage B nsie p nsie ln ln nn E T n > psie T n sie p An applie forwar voltage a > yiels the al voltage across the junction E + T B a The al voltage is always non-negative 3 2 austriamicrosystems

4 4 2 austriamicrosystems Space charge an junction bias is maintaine by the potential ifference over the space charge sustaine by the ionie impurity centers. Applying Gauss theorem within [- <ξ < ] where an stan for the left an right sie bounaries of the space charge layer The sign is etermine by the sequence of the oping types Integrating the negative fiel by part, the al voltage reas electric fiel charge balance E > < sgn if if ξ ξ ξ r r N q E 2 ln sgn sgn i T r T B r a B n N N

5 5 2 austriamicrosystems Junction charge increment Since charge balance unconitionally eists its variation shall also be ero The two terms are the charge increments of equal magnitues on the left an right sies respectively. The HS charge is Multiplying with the sign sgn an the area A E sgn sgn + E E A A sgn E j A

6 6 2 austriamicrosystems Junction voltage increment The variation of the al voltage reas ecogniing the junction capacitance: Making use of the charge balance variation j j C r r sgn sgn j r E r r A + + sgn sgn This epression manifests that a larger - increasing the with of the epletion layer - implies a larger HS charge. The rate of increase is C j.

7 Capacitance an actual charge The semi-empirical capacitance function generally applie in all HBT/BJT evice moels reas C j C j T v v an v are the built-in voltages at arbitrary an nominal temperatures. In transistor moeling the base charge contribution is measure by the charge increment from the actual base-sie epletion layer position to its new position in the base. The actually store charge is elimite by the metallurgical junction where C j Inf or. This store actual charge reas jact The actual charge resies in [ j ] when the base is on the HS v jnom C j u u jnom C j T v v a 7 2 austriamicrosystems

8 Application of junction charges in HBT/BJT moels Description of the Moll-oss-Gummel charges in AC linke HBT/BJT moels Moeling the conuctivity moulation of the internal base resistance Energy storing elements for circuit simulators ecent moels apply one single epression for all It will be shown that these specific applications benefit from eicate iniviual charge formulations 8 2 austriamicrosystems

9 Moll-oss-Gummel charges in AC linke approaches The following correcte MG charge has been erive in [2] Γ JT J Ji pt _ low p vji vji T + m ji E + Φ JT jenom ~ Γ jcnom Formerly it was J an only Φ JT has taken care of the escription of the bias an temperature epenence. The latter is the normalie applie charge at the effect of the applie voltage Φ JT jnom a C v u u jnom This is reference to the ero bias actual charge at the same temperature, use for all purposes in present moel variants v 9 2 austriamicrosystems Φ ET JT + m C C w w jact ~ Γ vji vji CT jnom vji jact v

10 Base resistance in Hicum/2 The quiescent part of the store minority charge in the npn base reas Cb Cb ~ Eb, Cb are the base-sie q AE p q AE N quiescent epletion bounaries Eb The conuctivity moulation is controlle by the al minority charge between the actual epletion layer bounaries r i Eb rbi ~ ~ ~ + je + jc The al AC junction relate charges are reference to the quiescent epletion bounaries at ero bias an nominal temperature v nom v ~ j jact jact nom jnom ~ v 2 austriamicrosystems + TC of the current rbi formulation [3] is eficient f not use in present moels

11 Base resistance in Hicum/2: interpretation vbe> quiescent minority charge vbc< poly-mono interface Eb T Cb T Eb vbe,t Cb vbc,t ~ ~ je T>T jc > < actual minority charge epi-b interface E je jc C Eisting formulation efines as a fraction of the low bias MG charge with an incorrect temperature epenence. Suggeste solution in figure regars constant, attributing all bias an temperature epenence to the junction relate al charges 2 austriamicrosystems

12 Charges as energy storing elements for MNA Circuit simulators are using the Moifie Noal Analysis MNA for solving the nonlinear network equations. Nonlinear energy storing elements require numerical integration for the solution of the unknown currents an voltages v i v charge basis i t v t t capacitance basis C v t v t t C v It has been shown by Calahan [4] that an increase stability can be achieve by using charges flues instea of capacitances inuctors in the numerical integration schemes Use of capacitances may violate charge conservation law 2 2 austriamicrosystems i t

13 Charges vs. capacitances in MNA Cv conservation error v - v 2 - v C v v v v v C v v Cv v v v v using capacitances the charge ifference between timesteps evelops along the charge graients. A close voltage loop reveals a conservation error selection of charges as sytem variables inherently gurantees charge conservation It oes not help that the problem eists only at nonlinear charges since it is eactly the case at transistor moeling 3 2 austriamicrosystems

14 Charges as energy storing elements for MNA, cont. Present moels integrate the Cv function from ero to the actual bias for computing the MNA charge ~ jmna v C j v u T u C j T v ~ jmna v v jact v v This is the same charge epression that the one generally use for all purposes in recent moels ~ jmna jnom ~ Φ JT jact v v w v w 4 2 austriamicrosystems

15 Moifie charges as energy storing elements for MNA The first term of the present normalie MNA charge Φ JT is voltage inepenent hence it has effect neither on the gra v Jacobian elements at AC analysis nor on the integration schemes for T. The preferre alternative is ~ jmna jact This form requires half the computational effort than the original. The cost of computation reuces by the time spent on approimately evaluating two eponential functions. Hicum/2 calls the t operator more than times a computational cycle for nonlinear charges 5 2 austriamicrosystems jnom v v v

16 Summary of efinitions - actual position: present location of the base-sie epletion bounary at a given temperature an bias - actual charge: charge store in the interval from the actual position to the metallurgical junction - applie charge: charge increment from the ero bias position to the applie bias position at the same temperature - al charge: charge increment from the ero bias, nominal temperature position to the applie bias, applie temperature position 6 2 austriamicrosystems

17 7 2 austriamicrosystems Overview MNA Base resistance AC linke MG Propose Current moels Charge use in Formulas are normalie to jnom v v v v v v v v v v v v v v v v v v v v

18 Summary junction capacitance efine as the erivative of the electrostatic charge w.r.t. the al voltage moeling applications of the junction charges pinpointe present conuctivity moulation of rbi shown to be eficient actual, applie an al charge concepts introuce spee optimiation with reuce computational effort an improve rbi temperature epenence suggeste by using eicate charge forms 8 2 austriamicrosystems

19 eferences [] Joseph inmayer an Charles Y. Wrigley, Funamentals of Semiconuctor Devices, D. an Nostran Co. Inc., 965 [2] Z. Huska, D. Celi an E. Seebacher, A Novel ow-bias Charge Concept for HBT/BJT Moels Incluing Heterobangap an Temperature Effects -- Part I: Theory, IEEE Trans. Electron Dev., submitte [3] [4] D. A. Calahan, Numerical Consierations for Implementation of a Nonlinear Transient Circuit Analysis Program," IEEE Trans. Circuit Theory, CT-8, January 97, pp austriamicrosystems

20 - analog eperts to help you leap ahea

Lecture contents. Metal-semiconductor contact

Lecture contents. Metal-semiconductor contact 1 Lecture contents Metal-semiconuctor contact Electrostatics: Full epletion approimation Electrostatics: Eact electrostatic solution Current Methos for barrier measurement Junctions: general approaches,

More information

Table of Common Derivatives By David Abraham

Table of Common Derivatives By David Abraham Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec

More information

Bipolar junction transistor operation and modeling

Bipolar junction transistor operation and modeling 6.01 - Electronic Devices and Circuits Lecture 8 - Bipolar Junction Transistor Basics - Outline Announcements Handout - Lecture Outline and Summary; Old eam 1's on Stellar First Hour Eam - Oct. 8, 7:30-9:30

More information

Euler equations for multiple integrals

Euler equations for multiple integrals Euler equations for multiple integrals January 22, 2013 Contents 1 Reminer of multivariable calculus 2 1.1 Vector ifferentiation......................... 2 1.2 Matrix ifferentiation........................

More information

Section 7.1: Integration by Parts

Section 7.1: Integration by Parts Section 7.1: Integration by Parts 1. Introuction to Integration Techniques Unlike ifferentiation where there are a large number of rules which allow you (in principle) to ifferentiate any function, the

More information

A Novel Decoupled Iterative Method for Deep-Submicron MOSFET RF Circuit Simulation

A Novel Decoupled Iterative Method for Deep-Submicron MOSFET RF Circuit Simulation A Novel ecouple Iterative Metho for eep-submicron MOSFET RF Circuit Simulation CHUAN-SHENG WANG an YIMING LI epartment of Mathematics, National Tsing Hua University, National Nano evice Laboratories, an

More information

Two Dimensional Numerical Simulator for Modeling NDC Region in SNDC Devices

Two Dimensional Numerical Simulator for Modeling NDC Region in SNDC Devices Journal of Physics: Conference Series PAPER OPEN ACCESS Two Dimensional Numerical Simulator for Moeling NDC Region in SNDC Devices To cite this article: Dheeraj Kumar Sinha et al 2016 J. Phys.: Conf. Ser.

More information

PRACTICE 4. CHARGING AND DISCHARGING A CAPACITOR

PRACTICE 4. CHARGING AND DISCHARGING A CAPACITOR PRACTICE 4. CHARGING AND DISCHARGING A CAPACITOR. THE PARALLEL-PLATE CAPACITOR. The Parallel plate capacitor is a evice mae up by two conuctor parallel plates with total influence between them (the surface

More information

EE 330 Lecture 12. Devices in Semiconductor Processes. Diodes

EE 330 Lecture 12. Devices in Semiconductor Processes. Diodes EE 330 Lecture 12 evices in Semiconuctor Processes ioes Review from Last Lecture http://www.ayah.com/perioic/mages/perioic%20table.png Review from Last Lecture Review from Last Lecture Silicon opants in

More information

TEST 2 (PHY 250) Figure Figure P26.21

TEST 2 (PHY 250) Figure Figure P26.21 TEST 2 (PHY 250) 1. a) Write the efinition (in a full sentence) of electric potential. b) What is a capacitor? c) Relate the electric torque, exerte on a molecule in a uniform electric fiel, with the ipole

More information

Calculus of Variations

Calculus of Variations 16.323 Lecture 5 Calculus of Variations Calculus of Variations Most books cover this material well, but Kirk Chapter 4 oes a particularly nice job. x(t) x* x*+ αδx (1) x*- αδx (1) αδx (1) αδx (1) t f t

More information

Chapter 9 Method of Weighted Residuals

Chapter 9 Method of Weighted Residuals Chapter 9 Metho of Weighte Resiuals 9- Introuction Metho of Weighte Resiuals (MWR) is an approimate technique for solving bounary value problems. It utilizes a trial functions satisfying the prescribe

More information

θ x = f ( x,t) could be written as

θ x = f ( x,t) could be written as 9. Higher orer PDEs as systems of first-orer PDEs. Hyperbolic systems. For PDEs, as for ODEs, we may reuce the orer by efining new epenent variables. For example, in the case of the wave equation, (1)

More information

EE 330 Lecture 13. Devices in Semiconductor Processes. Diodes Capacitors Transistors

EE 330 Lecture 13. Devices in Semiconductor Processes. Diodes Capacitors Transistors EE 330 Lecture 13 evices in Semiconuctor Processes ioes Capacitors Transistors Review from Last Lecture pn Junctions Physical Bounary Separating n-type an p-type regions Extens farther into n-type region

More information

SYNCHRONOUS SEQUENTIAL CIRCUITS

SYNCHRONOUS SEQUENTIAL CIRCUITS CHAPTER SYNCHRONOUS SEUENTIAL CIRCUITS Registers an counters, two very common synchronous sequential circuits, are introuce in this chapter. Register is a igital circuit for storing information. Contents

More information

5-4 Electrostatic Boundary Value Problems

5-4 Electrostatic Boundary Value Problems 11/8/4 Section 54 Electrostatic Bounary Value Problems blank 1/ 5-4 Electrostatic Bounary Value Problems Reaing Assignment: pp. 149-157 Q: A: We must solve ifferential equations, an apply bounary conitions

More information

Derivative of a Constant Multiple of a Function Theorem: If f is a differentiable function and if c is a constant, then

Derivative of a Constant Multiple of a Function Theorem: If f is a differentiable function and if c is a constant, then Bob Brown Math 51 Calculus 1 Chapter 3, Section Complete 1 Review of the Limit Definition of the Derivative Write the it efinition of the erivative function: f () Derivative of a Constant Multiple of a

More information

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1 Lecture 5 Some ifferentiation rules Trigonometric functions (Relevant section from Stewart, Seventh Eition: Section 3.3) You all know that sin = cos cos = sin. () But have you ever seen a erivation of

More information

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors Math 18.02 Notes on ifferentials, the Chain Rule, graients, irectional erivative, an normal vectors Tangent plane an linear approximation We efine the partial erivatives of f( xy, ) as follows: f f( x+

More information

Introduction to the Vlasov-Poisson system

Introduction to the Vlasov-Poisson system Introuction to the Vlasov-Poisson system Simone Calogero 1 The Vlasov equation Consier a particle with mass m > 0. Let x(t) R 3 enote the position of the particle at time t R an v(t) = ẋ(t) = x(t)/t its

More information

SiC-based Power Converters for High Temperature Applications

SiC-based Power Converters for High Temperature Applications Materials Science orum Vols. 556-557 (7) pp 965-97 online at http://www.scientific.net (7) Trans Tech Publications Switzerlan Online available since 7/Sep/5 -base Power Converters for High Temperature

More information

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs Lectures - Week 10 Introuction to Orinary Differential Equations (ODES) First Orer Linear ODEs When stuying ODEs we are consiering functions of one inepenent variable, e.g., f(x), where x is the inepenent

More information

Analytic Scaling Formulas for Crossed Laser Acceleration in Vacuum

Analytic Scaling Formulas for Crossed Laser Acceleration in Vacuum October 6, 4 ARDB Note Analytic Scaling Formulas for Crosse Laser Acceleration in Vacuum Robert J. Noble Stanfor Linear Accelerator Center, Stanfor University 575 San Hill Roa, Menlo Park, California 945

More information

Statics, Quasistatics, and Transmission Lines

Statics, Quasistatics, and Transmission Lines CHAPTER 6 Statics, Quasistatics, an Transmission Lines In the preceing chapters, we learne that the phenomenon of wave propagation is base upon the interaction between the time-varying or ynamic electric

More information

One Dimensional Convection: Interpolation Models for CFD

One Dimensional Convection: Interpolation Models for CFD One Dimensional Convection: Interpolation Moels for CFD ME 448/548 Notes Geral Recktenwal Portlan State University Department of Mechanical Engineering gerry@p.eu ME 448/548: D Convection-Di usion Equation

More information

A. Incorrect! The letter t does not appear in the expression of the given integral

A. Incorrect! The letter t does not appear in the expression of the given integral AP Physics C - Problem Drill 1: The Funamental Theorem of Calculus Question No. 1 of 1 Instruction: (1) Rea the problem statement an answer choices carefully () Work the problems on paper as neee (3) Question

More information

EE 330 Lecture 15. Devices in Semiconductor Processes. Diodes Capacitors MOSFETs

EE 330 Lecture 15. Devices in Semiconductor Processes. Diodes Capacitors MOSFETs EE 330 Lecture 15 evices in Semiconuctor Processes ioes Capacitors MOSFETs Review from Last Lecture Basic evices an evice Moels Resistor ioe Capacitor MOSFET BJT Review from Last Lecture Review from Last

More information

12.5. Differentiation of vectors. Introduction. Prerequisites. Learning Outcomes

12.5. Differentiation of vectors. Introduction. Prerequisites. Learning Outcomes Differentiation of vectors 12.5 Introuction The area known as vector calculus is use to moel mathematically a vast range of engineering phenomena incluing electrostatics, electromagnetic fiels, air flow

More information

PARALLEL-PLATE CAPACITATOR

PARALLEL-PLATE CAPACITATOR Physics Department Electric an Magnetism Laboratory PARALLEL-PLATE CAPACITATOR 1. Goal. The goal of this practice is the stuy of the electric fiel an electric potential insie a parallelplate capacitor.

More information

Conservation Laws. Chapter Conservation of Energy

Conservation Laws. Chapter Conservation of Energy 20 Chapter 3 Conservation Laws In orer to check the physical consistency of the above set of equations governing Maxwell-Lorentz electroynamics [(2.10) an (2.12) or (1.65) an (1.68)], we examine the action

More information

Designing Information Devices and Systems I Spring 2018 Lecture Notes Note 16

Designing Information Devices and Systems I Spring 2018 Lecture Notes Note 16 EECS 16A Designing Information Devices an Systems I Spring 218 Lecture Notes Note 16 16.1 Touchscreen Revisite We ve seen how a resistive touchscreen works by using the concept of voltage iviers. Essentially,

More information

Electronic Devices and Circuit Theory

Electronic Devices and Circuit Theory Instructor s Resource Manual to accompany Electronic Devices an Circuit Theory Tenth Eition Robert L. Boylesta Louis Nashelsky Upper Sale River, New Jersey Columbus, Ohio Copyright 2009 by Pearson Eucation,

More information

Chapter 4. Electrostatics of Macroscopic Media

Chapter 4. Electrostatics of Macroscopic Media Chapter 4. Electrostatics of Macroscopic Meia 4.1 Multipole Expansion Approximate potentials at large istances 3 x' x' (x') x x' x x Fig 4.1 We consier the potential in the far-fiel region (see Fig. 4.1

More information

Design and Application of Fault Current Limiter in Iran Power System Utility

Design and Application of Fault Current Limiter in Iran Power System Utility Australian Journal of Basic an Applie Sciences, 7(): 76-8, 13 ISSN 1991-8178 Design an Application of Fault Current Limiter in Iran Power System Utility M. Najafi, M. Hoseynpoor Department of Electrical

More information

Regional Approach Methods for SiGe HBT compact modeling

Regional Approach Methods for SiGe HBT compact modeling Regional Approach Methods for SiGe HBT compact modeling M. Schroter 1),2) and H. Tran 2) 1) ECE Dept., University of California San Diego, La Jolla, CA, USA 2) Chair for Electron Devices and Integr. Circuits,

More information

CAPACITANCE: CHAPTER 24. ELECTROSTATIC ENERGY and CAPACITANCE. Capacitance and capacitors Storage of electrical energy. + Example: A charged spherical

CAPACITANCE: CHAPTER 24. ELECTROSTATIC ENERGY and CAPACITANCE. Capacitance and capacitors Storage of electrical energy. + Example: A charged spherical CAPACITANCE: CHAPTER 24 ELECTROSTATIC ENERGY an CAPACITANCE Capacitance an capacitors Storage of electrical energy Energy ensity of an electric fiel Combinations of capacitors In parallel In series Dielectrics

More information

Transmission Line Matrix (TLM) network analogues of reversible trapping processes Part B: scaling and consistency

Transmission Line Matrix (TLM) network analogues of reversible trapping processes Part B: scaling and consistency Transmission Line Matrix (TLM network analogues of reversible trapping processes Part B: scaling an consistency Donar e Cogan * ANC Eucation, 308-310.A. De Mel Mawatha, Colombo 3, Sri Lanka * onarecogan@gmail.com

More information

This section outlines the methodology used to calculate the wave load and wave wind load values.

This section outlines the methodology used to calculate the wave load and wave wind load values. COMPUTERS AND STRUCTURES, INC., JUNE 2014 AUTOMATIC WAVE LOADS TECHNICAL NOTE CALCULATION O WAVE LOAD VALUES This section outlines the methoology use to calculate the wave loa an wave win loa values. Overview

More information

Harmonic Modelling of Thyristor Bridges using a Simplified Time Domain Method

Harmonic Modelling of Thyristor Bridges using a Simplified Time Domain Method 1 Harmonic Moelling of Thyristor Briges using a Simplifie Time Domain Metho P. W. Lehn, Senior Member IEEE, an G. Ebner Abstract The paper presents time omain methos for harmonic analysis of a 6-pulse

More information

Polynomial Inclusion Functions

Polynomial Inclusion Functions Polynomial Inclusion Functions E. e Weert, E. van Kampen, Q. P. Chu, an J. A. Muler Delft University of Technology, Faculty of Aerospace Engineering, Control an Simulation Division E.eWeert@TUDelft.nl

More information

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0.

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0. Engineering Mathematics 2 26 February 2014 Limits of functions Consier the function 1 f() = 1. The omain of this function is R + \ {1}. The function is not efine at 1. What happens when is close to 1?

More information

Status of HICUM/L2 Model

Status of HICUM/L2 Model Status of HICUM/L2 Model A. Pawlak 1), M. Schröter 1),2), A. Mukherjee 1) 1) CEDIC, University of Technology Dresden, Germany 2) Dept. of Electrical and Computer Engin., University of Calif. at San Diego,

More information

A simple model for the small-strain behaviour of soils

A simple model for the small-strain behaviour of soils A simple moel for the small-strain behaviour of soils José Jorge Naer Department of Structural an Geotechnical ngineering, Polytechnic School, University of São Paulo 05508-900, São Paulo, Brazil, e-mail:

More information

Goal of this chapter is to learn what is Capacitance, its role in electronic circuit, and the role of dielectrics.

Goal of this chapter is to learn what is Capacitance, its role in electronic circuit, and the role of dielectrics. PHYS 220, Engineering Physics, Chapter 24 Capacitance an Dielectrics Instructor: TeYu Chien Department of Physics an stronomy University of Wyoming Goal of this chapter is to learn what is Capacitance,

More information

figure shows a pnp transistor biased to operate in the active mode

figure shows a pnp transistor biased to operate in the active mode Lecture 10b EE-215 Electronic Devices and Circuits Asst Prof Muhammad Anis Chaudhary BJT: Device Structure and Physical Operation The pnp Transistor figure shows a pnp transistor biased to operate in the

More information

( ) Energy storage in CAPACITORs. q C

( ) Energy storage in CAPACITORs. q C Energy storage in CAPACITORs Charge capacitor by transferring bits of charge q at a time from bottom to top plate. Can use a battery to o this. Battery oes work which increase potential energy of capacitor.

More information

1. The electron volt is a measure of (A) charge (B) energy (C) impulse (D) momentum (E) velocity

1. The electron volt is a measure of (A) charge (B) energy (C) impulse (D) momentum (E) velocity AP Physics Multiple Choice Practice Electrostatics 1. The electron volt is a measure of (A) charge (B) energy (C) impulse (D) momentum (E) velocity. A soli conucting sphere is given a positive charge Q.

More information

ELEC 3908, Physical Electronics, Lecture 13. Diode Small Signal Modeling

ELEC 3908, Physical Electronics, Lecture 13. Diode Small Signal Modeling ELEC 3908, Physical Electronics, Lecture 13 iode Small Signal Modeling Lecture Outline Last few lectures have dealt exclusively with modeling and important effects in static (dc) operation ifferent modeling

More information

ELEC3114 Control Systems 1

ELEC3114 Control Systems 1 ELEC34 Control Systems Linear Systems - Moelling - Some Issues Session 2, 2007 Introuction Linear systems may be represente in a number of ifferent ways. Figure shows the relationship between various representations.

More information

Electronic Devices and Circuits Lecture 5 - p-n Junction Injection and Flow - Outline

Electronic Devices and Circuits Lecture 5 - p-n Junction Injection and Flow - Outline 6.012 - Electronic Devices and Circuits Lecture 5 - p-n Junction Injection and Flow - Outline Review Depletion approimation for an abrupt p-n junction Depletion charge storage and depletion capacitance

More information

Physics 2212 K Quiz #2 Solutions Summer 2016

Physics 2212 K Quiz #2 Solutions Summer 2016 Physics 1 K Quiz # Solutions Summer 016 I. (18 points) A positron has the same mass as an electron, but has opposite charge. Consier a positron an an electron at rest, separate by a istance = 1.0 nm. What

More information

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson JUST THE MATHS UNIT NUMBER 10.2 DIFFERENTIATION 2 (Rates of change) by A.J.Hobson 10.2.1 Introuction 10.2.2 Average rates of change 10.2.3 Instantaneous rates of change 10.2.4 Derivatives 10.2.5 Exercises

More information

Lecture 8. MOS (Metal Oxide Semiconductor) Structures

Lecture 8. MOS (Metal Oxide Semiconductor) Structures Lecture 8 MOS (Metal Oie Semiconuctor) Structure In thi lecture you will learn: The funamental et of equation governing the behavior of MOS capacitor Accumulation, Flatban, Depletion, an Inverion Regime

More information

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0.

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0. Engineering Mathematics 2 26 February 2014 Limits of functions Consier the function 1 f() = 1. The omain of this function is R + \ {1}. The function is not efine at 1. What happens when is close to 1?

More information

Physics for Scientists & Engineers 2

Physics for Scientists & Engineers 2 Capacitors Physics for Scientists & Engineers 2 Spring Semester 2005 Lecture 12 Capacitors are evices that can store electrical energy Capacitors are use in many every-ay applications Heart efibrillators

More information

UNIVERSITY OF CALIFORNIA, BERKELEY College of Engineering Department of Electrical Engineering and Computer Sciences

UNIVERSITY OF CALIFORNIA, BERKELEY College of Engineering Department of Electrical Engineering and Computer Sciences UNIVERSITY OF CALIFORNIA, BERKELEY College of Engineering Department of Electrical Engineering and Computer Sciences EE 105: Microelectronic Devices and Circuits Spring 2008 MIDTERM EXAMINATION #1 Time

More information

Adjoint Transient Sensitivity Analysis in Circuit Simulation

Adjoint Transient Sensitivity Analysis in Circuit Simulation Ajoint Transient Sensitivity Analysis in Circuit Simulation Z. Ilievski 1, H. Xu 1, A. Verhoeven 1, E.J.W. ter Maten 1,2, W.H.A. Schilers 1,2 an R.M.M. Mattheij 1 1 Technische Universiteit Einhoven; e-mail:

More information

18 EVEN MORE CALCULUS

18 EVEN MORE CALCULUS 8 EVEN MORE CALCULUS Chapter 8 Even More Calculus Objectives After stuing this chapter you shoul be able to ifferentiate an integrate basic trigonometric functions; unerstan how to calculate rates of change;

More information

II. First variation of functionals

II. First variation of functionals II. First variation of functionals The erivative of a function being zero is a necessary conition for the etremum of that function in orinary calculus. Let us now tackle the question of the equivalent

More information

MATH 205 Practice Final Exam Name:

MATH 205 Practice Final Exam Name: MATH 205 Practice Final Eam Name:. (2 points) Consier the function g() = e. (a) (5 points) Ientify the zeroes, vertical asymptotes, an long-term behavior on both sies of this function. Clearly label which

More information

inflow outflow Part I. Regular tasks for MAE598/494 Task 1

inflow outflow Part I. Regular tasks for MAE598/494 Task 1 MAE 494/598, Fall 2016 Project #1 (Regular tasks = 20 points) Har copy of report is ue at the start of class on the ue ate. The rules on collaboration will be release separately. Please always follow the

More information

(3-3) = (Gauss s law) (3-6)

(3-3) = (Gauss s law) (3-6) tatic Electric Fiels Electrostatics is the stuy of the effects of electric charges at rest, an the static electric fiels, which are cause by stationary electric charges. In the euctive approach, few funamental

More information

Thermal runaway during blocking

Thermal runaway during blocking Thermal runaway uring blocking CES_stable CES ICES_stable ICES k 6.5 ma 13 6. 12 5.5 11 5. 1 4.5 9 4. 8 3.5 7 3. 6 2.5 5 2. 4 1.5 3 1. 2.5 1. 6 12 18 24 3 36 s Thermal runaway uring blocking Application

More information

Nonlinear Dielectric Response of Periodic Composite Materials

Nonlinear Dielectric Response of Periodic Composite Materials onlinear Dielectric Response of Perioic Composite aterials A.G. KOLPAKOV 3, Bl.95, 9 th ovember str., ovosibirsk, 639 Russia the corresponing author e-mail: agk@neic.nsk.su, algk@ngs.ru A. K.TAGATSEV Ceramics

More information

Chapter 3. Modeling with First-Order Differential Equations

Chapter 3. Modeling with First-Order Differential Equations Chapter 3 Moeling with First-Orer Differential Equations i GROWTH AND DECAY: The initial-value problem x = kx, x(t 0 ) = x 0, (1) where k is a constant of proportionality, serves as a moel for iverse phenomena

More information

Physics 505 Electricity and Magnetism Fall 2003 Prof. G. Raithel. Problem Set 3. 2 (x x ) 2 + (y y ) 2 + (z + z ) 2

Physics 505 Electricity and Magnetism Fall 2003 Prof. G. Raithel. Problem Set 3. 2 (x x ) 2 + (y y ) 2 + (z + z ) 2 Physics 505 Electricity an Magnetism Fall 003 Prof. G. Raithel Problem Set 3 Problem.7 5 Points a): Green s function: Using cartesian coorinates x = (x, y, z), it is G(x, x ) = 1 (x x ) + (y y ) + (z z

More information

From last time. Attention. Capacitance. Spherical capacitor. Energy stored in capacitors. How do we charge a capacitor? Today:

From last time. Attention. Capacitance. Spherical capacitor. Energy stored in capacitors. How do we charge a capacitor? Today: Attention From last time More on electric potential an connection to Efiel How to calculate Efiel from V Capacitors an Capacitance switch off computers in the room an be prepare to a very lou noise Toay:

More information

Calculus of variations - Lecture 11

Calculus of variations - Lecture 11 Calculus of variations - Lecture 11 1 Introuction It is easiest to formulate the problem with a specific example. The classical problem of the brachistochrone (1696 Johann Bernoulli) is the search to fin

More information

An inductance lookup table application for analysis of reluctance stepper motor model

An inductance lookup table application for analysis of reluctance stepper motor model ARCHIVES OF ELECTRICAL ENGINEERING VOL. 60(), pp. 5- (0) DOI 0.478/ v07-0-000-y An inuctance lookup table application for analysis of reluctance stepper motor moel JAKUB BERNAT, JAKUB KOŁOTA, SŁAWOMIR

More information

WJEC Core 2 Integration. Section 1: Introduction to integration

WJEC Core 2 Integration. Section 1: Introduction to integration WJEC Core Integration Section : Introuction to integration Notes an Eamples These notes contain subsections on: Reversing ifferentiation The rule for integrating n Fining the arbitrary constant Reversing

More information

APPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France

APPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France APPROXIMAE SOLUION FOR RANSIEN HEA RANSFER IN SAIC URBULEN HE II B. Bauouy CEA/Saclay, DSM/DAPNIA/SCM 91191 Gif-sur-Yvette Ceex, France ABSRAC Analytical solution in one imension of the heat iffusion equation

More information

The Exact Form and General Integrating Factors

The Exact Form and General Integrating Factors 7 The Exact Form an General Integrating Factors In the previous chapters, we ve seen how separable an linear ifferential equations can be solve using methos for converting them to forms that can be easily

More information

Some vector algebra and the generalized chain rule Ross Bannister Data Assimilation Research Centre, University of Reading, UK Last updated 10/06/10

Some vector algebra and the generalized chain rule Ross Bannister Data Assimilation Research Centre, University of Reading, UK Last updated 10/06/10 Some vector algebra an the generalize chain rule Ross Bannister Data Assimilation Research Centre University of Reaing UK Last upate 10/06/10 1. Introuction an notation As we shall see in these notes the

More information

Vectors in two dimensions

Vectors in two dimensions Vectors in two imensions Until now, we have been working in one imension only The main reason for this is to become familiar with the main physical ieas like Newton s secon law, without the aitional complication

More information

The continuity equation

The continuity equation Chapter 6 The continuity equation 61 The equation of continuity It is evient that in a certain region of space the matter entering it must be equal to the matter leaving it Let us consier an infinitesimal

More information

Lecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations

Lecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations Lecture XII Abstract We introuce the Laplace equation in spherical coorinates an apply the metho of separation of variables to solve it. This will generate three linear orinary secon orer ifferential equations:

More information

Hyperbolic Systems of Equations Posed on Erroneous Curved Domains

Hyperbolic Systems of Equations Posed on Erroneous Curved Domains Hyperbolic Systems of Equations Pose on Erroneous Curve Domains Jan Norström a, Samira Nikkar b a Department of Mathematics, Computational Mathematics, Linköping University, SE-58 83 Linköping, Sween (

More information

4. CONTROL OF ZERO-SEQUENCE CURRENT IN PARALLEL THREE-PHASE CURRENT-BIDIRECTIONAL CONVERTERS

4. CONTROL OF ZERO-SEQUENCE CURRENT IN PARALLEL THREE-PHASE CURRENT-BIDIRECTIONAL CONVERTERS 4. CONRO OF ZERO-SEQUENCE CURREN IN PARAE HREE-PHASE CURREN-BIDIRECIONA CONVERERS 4. A NOVE ZERO-SEQUENCE CURREN CONRO 4.. Zero-Sequence Dynamics he parallel boost rectifier moel in Figure.4 an the parallel

More information

5.4 Fundamental Theorem of Calculus Calculus. Do you remember the Fundamental Theorem of Algebra? Just thought I'd ask

5.4 Fundamental Theorem of Calculus Calculus. Do you remember the Fundamental Theorem of Algebra? Just thought I'd ask 5.4 FUNDAMENTAL THEOREM OF CALCULUS Do you remember the Funamental Theorem of Algebra? Just thought I' ask The Funamental Theorem of Calculus has two parts. These two parts tie together the concept of

More information

x = c of N if the limit of f (x) = L and the right-handed limit lim f ( x)

x = c of N if the limit of f (x) = L and the right-handed limit lim f ( x) Limit We say the limit of f () as approaches c equals L an write, lim L. One-Sie Limits (Left an Right-Hane Limits) Suppose a function f is efine near but not necessarily at We say that f has a left-hane

More information

Math 1271 Solutions for Fall 2005 Final Exam

Math 1271 Solutions for Fall 2005 Final Exam Math 7 Solutions for Fall 5 Final Eam ) Since the equation + y = e y cannot be rearrange algebraically in orer to write y as an eplicit function of, we must instea ifferentiate this relation implicitly

More information

Lecture 1b. Differential operators and orthogonal coordinates. Partial derivatives. Divergence and divergence theorem. Gradient. A y. + A y y dy. 1b.

Lecture 1b. Differential operators and orthogonal coordinates. Partial derivatives. Divergence and divergence theorem. Gradient. A y. + A y y dy. 1b. b. Partial erivatives Lecture b Differential operators an orthogonal coorinates Recall from our calculus courses that the erivative of a function can be efine as f ()=lim 0 or using the central ifference

More information

A Parametric Device Study for SiC Power Electronics

A Parametric Device Study for SiC Power Electronics A Parametric evice Stuy for SiC Power Electronics Burak Ozpineci urak@ieee.org epartment of Electrical an Computer Engineering The University of Tennessee Knoxville TN 7996- Leon M. Tolert tolert@utk.eu

More information

Thermal conductivity of graded composites: Numerical simulations and an effective medium approximation

Thermal conductivity of graded composites: Numerical simulations and an effective medium approximation JOURNAL OF MATERIALS SCIENCE 34 (999)5497 5503 Thermal conuctivity of grae composites: Numerical simulations an an effective meium approximation P. M. HUI Department of Physics, The Chinese University

More information

Chapter 2 Derivatives

Chapter 2 Derivatives Chapter Derivatives Section. An Intuitive Introuction to Derivatives Consier a function: Slope function: Derivative, f ' For each, the slope of f is the height of f ' Where f has a horizontal tangent line,

More information

AIEEE Physics Model Question Paper

AIEEE Physics Model Question Paper IEEE Physics Moel Question Paper ote: Question o. 11 to 1 an 1 to consist of Eight (8) marks each for each correct response an remaining questions consist of Four (4) marks. ¼ marks will be eucte for inicating

More information

05 The Continuum Limit and the Wave Equation

05 The Continuum Limit and the Wave Equation Utah State University DigitalCommons@USU Founations of Wave Phenomena Physics, Department of 1-1-2004 05 The Continuum Limit an the Wave Equation Charles G. Torre Department of Physics, Utah State University,

More information

State-Space Model for a Multi-Machine System

State-Space Model for a Multi-Machine System State-Space Moel for a Multi-Machine System These notes parallel section.4 in the text. We are ealing with classically moele machines (IEEE Type.), constant impeance loas, an a network reuce to its internal

More information

Alpha Particle scattering

Alpha Particle scattering Introuction Alpha Particle scattering Revise Jan. 11, 014 In this lab you will stuy the interaction of α-particles ( 4 He) with matter, in particular energy loss an elastic scattering from a gol target

More information

Sensors & Transducers 2015 by IFSA Publishing, S. L.

Sensors & Transducers 2015 by IFSA Publishing, S. L. Sensors & Transucers, Vol. 184, Issue 1, January 15, pp. 53-59 Sensors & Transucers 15 by IFSA Publishing, S. L. http://www.sensorsportal.com Non-invasive an Locally Resolve Measurement of Soun Velocity

More information

Designing Information Devices and Systems I Spring 2017 Official Lecture Notes Note 13

Designing Information Devices and Systems I Spring 2017 Official Lecture Notes Note 13 EES 6A Designing Information Devices an Systems I Spring 27 Official Lecture Notes Note 3 Touchscreen Revisite We ve seen how a resistive touchscreen works by using the concept of voltage iviers. Essentially,

More information

Non-standard geometry scaling effects

Non-standard geometry scaling effects Non-standard geometry scaling effects S. Lehmann 1), M. Schröter 1),2), J. Krause 1), A. Pawlak 1) 1) Chair for Electron Devices and Integr. Circuits, Univ. of Technol. Dresden, Germany 2) ECE Dept., University

More information

Compact Modeling of Graphene Barristor for Digital Integrated Circuit Design

Compact Modeling of Graphene Barristor for Digital Integrated Circuit Design Compact Moeling of Graphene Barristor for Digital Inteate Circuit Design Zhou Zhao, Xinlu Chen, Ashok Srivastava, Lu Peng Division of Electrical an Computer Engineering Louisiana State University Baton

More information

Calculus in the AP Physics C Course The Derivative

Calculus in the AP Physics C Course The Derivative Limits an Derivatives Calculus in the AP Physics C Course The Derivative In physics, the ieas of the rate change of a quantity (along with the slope of a tangent line) an the area uner a curve are essential.

More information

The Principle of Least Action

The Principle of Least Action Chapter 7. The Principle of Least Action 7.1 Force Methos vs. Energy Methos We have so far stuie two istinct ways of analyzing physics problems: force methos, basically consisting of the application of

More information

Forward-Active Terminal Currents

Forward-Active Terminal Currents Forward-Active Terminal Currents Collector current: (electron diffusion current density) x (emitter area) diff J n AE qd n n po A E V E V th ------------------------------ e W (why minus sign? is by def.

More information

Physics 2212 GJ Quiz #4 Solutions Fall 2015

Physics 2212 GJ Quiz #4 Solutions Fall 2015 Physics 2212 GJ Quiz #4 Solutions Fall 215 I. (17 points) The magnetic fiel at point P ue to a current through the wire is 5. µt into the page. The curve portion of the wire is a semicircle of raius 2.

More information

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control 19 Eigenvalues, Eigenvectors, Orinary Differential Equations, an Control This section introuces eigenvalues an eigenvectors of a matrix, an iscusses the role of the eigenvalues in etermining the behavior

More information

Based on transitions between bands electrons delocalized rather than bound to particular atom

Based on transitions between bands electrons delocalized rather than bound to particular atom EE31 Lasers I 1/01/04 #6 slie 1 Review: Semiconuctor Lasers Base on transitions between bans electrons elocalize rather than boun to particular atom transitions between bans Direct electrical pumping high

More information

Conservation laws a simple application to the telegraph equation

Conservation laws a simple application to the telegraph equation J Comput Electron 2008 7: 47 51 DOI 10.1007/s10825-008-0250-2 Conservation laws a simple application to the telegraph equation Uwe Norbrock Reinhol Kienzler Publishe online: 1 May 2008 Springer Scienceusiness

More information