Supporting information

Size: px
Start display at page:

Download "Supporting information"

Transcription

1 Supportng nformaton S1. Sample characterzaton S1.1. Hall coeffcent and resstvty measurements Hall and resstvty measurements on sample B have been performed wth a PPMS (Physcal Property Measurement System) from Quantum Desgn n the range K. A bar of mm x mm x 0.63 mm was obtaned from the ngot of sample B. The Au wres used for the resstvty measurement were placed 3.45 mm apart centered around the mddle along the length of the sample. The Hall coeffcent was calculated accordng to: RR HH = EE HH jjjj = VV HHAA IIIIII where E H s the Hall feld, B s the magnetc feld, V H s the Hall potental, jj = II/AA s the current densty.e. the current dvded by the sample cross secton, and ll s the separaton of the transverse voltage leads. The carrer concentraton at 77 K was estmated through: 1 pp 77KK = RR HH,77K ee The same apparatus was used for electrcal resstvty measurements. S1.2. X-Ray dffracton Fgure S1 Reconstructon of the (0kl) plane, sample A, at 300 K wth enlargement on the (022) reflecton (1) and on the (002) reflecton (2) usng an n-house Bruker II dffractometer.

2 Fgure S2 Reconstructon of the (0kl) plane, sample B, at 300 K wth enlargement on the (020) reflecton (1), on the (022) reflecton (2) and on the (002) reflecton (3) usng an n-house Bruker II dffractometer. 2

3 Fgure S3 Reconstructon of the (0.5kl) plane, sample A, at 300 K usng an n-house Bruker II dffractometer. Fgure S4 Reconstructon of the (0.5kl) plane, sample B, at 300 K usng an n-house Bruker II dffractometer. 3

4 Sngle crystal X-ray data collectons on sample A and sample B were carred out at BL02B1, SPrng8 usng ω-scans. For sample A frames were collected wth Δω = 15 and one frame wth Δω = 5 at T = 20 K, 200 K, 300 K, 400 K. Addtonally 2 frames wth Δω = 15 were collected at 50 K, 75 K, 110 K. For sample B 10 frames wth Δω=15 and 3 frames wth Δω = 5 were collected at 20 K, 50 K, 80 K, 110 K, 200 K, 300 K. The data have been merged n Sortav. Refnements have been carred out n Jana2006 n whch: ( obs) F ( calc) F R obs = F ; GOF = w ( obs) ( F ( obs) F ( calc) ) n p ( F ( obs) F ( calc) ) w wrobs = w F 4 ( obs) 2 ; Table S1 Expermental detals (sample A, sngle crystal) Crystal system Space group Z λ (Å) Μ (mm -1 ) Crystal sze (equvalent radus) (μm) (snθ/λ) max cubc Fm3 m (Å -1 ) Temperature (K) Emprcal Formula Formula weght Sn Te Sn 0.977Te Sn Te Sn Te Sn Te Sn Te Sn Te

5 (g mol -1 ) F a (Å) (8) 6.282(2) (17) (18) (10) 6.314(1) (11) V (Å 3 ) ρ, g cm N measured N measured (I>3σ) N unque N unque (I>3σ) Average redundancy Completeness % R 1=R merge R obs (I>3σ) wr obs (I>3σ) GOF (I>3σ) Δρ (e Å -3 ) (I>3σ) Δρ (e Å -3 ) (I>3σ) weght scheme appled -3.0 / / / / / / / / / / / / / / 0.2 5

6 Table S2 Expermental detals (sample B, sngle crystal) Crystal system Space group cubc Fm3 m Z 4 λ (Å) Μ (mm -1 ) 7.3 Crystal sze (equvalent radus) (μm) 25 (snθ/λ) max (Å -1 ) 1.0 Temperature (K) Emprcal Formula Formula weght (g mol -1 ) Sn 0.973Te Sn 0.978Te Sn Te Sn Te Sn Te Sn Te F a (Å) (16) (18) 6.295(2) 6.300(2) 6.312(2) 6.327(2) V (Å 3 ) ρ, g cm N measured N measured (I>3σ) N unque N unque (I>3σ) Average redundancy Completeness % R 1=R merge R obs (I>3σ) wr obs (I>3σ) GOF (I>3σ) Δρ (e Å -3 ) (I>3σ) -2.1/ / / / / /1.9 6

7 Δρ (e Å -3 ) (I>3σ) weght scheme appled -0.8/ / / / / /1.3 Table S3 Extncton correcton parameters as derved from Jana2006, harmonc model. Sample A, 20 K Type 1, Lorentzan G ISO = ± Type 1, Gaussan G ISO = ± Type 2 RHO ISO = ± Sample B, 20 K Type 1, Lorentzan G ISO = ± Type 1, Gaussan G ISO = ± Type 2 RHO ISO = ± Conventonal PXRD data were collected from 300 to 800 K on a Rgaku Smartlab equpped wth a copper source. The measurements were executed n a closed system under Argon. S1.3. Dfferental thermal analyss (DTA) DTA analyss has been performed wth a Netsch STA 449 C Jupter from 30 C to 650 C and back to 30 C at a heatng rate of 10 C/mn under Argon flux. The DTA curve shows a large broad partally rreversble exothermc transton. A small knk s vsble at 233 C whch can be attrbuted to meltng of metallc Sn whch s present as a tny mpurty n the PXRD pattern. 7

8 Fgure S5 DTA curve from 30 C to 650 C (red curve) and from 650 C to 30 C (blue curve). A broad exothermc transton appears at around 150 C and contnues for all the range of temperature consdered. The small endothermc knk at 233 C s due meltng of the Sn mpurty. 8

9 S2. Results and dscussons S2.1. Cell parameters Table S4 Thermal expanson wth temperature for sample A and B (sngle crystal data) Sample A T (K) a (Å) (8) (2) (17) (18) (10) (10) (11) Sample B (sngle crystal data from 20 to 300 K, conventonal PXRD data from 320 to 800 K) T (K) a (Å) (16) (18) (2) (2) (2) (2) (5) (5) (3) (4) (4) 9

10 (4) (4) (4) (4) (4) (5) (5) (4) (3) (3) (4) (4) (1) (4) (5) (7) (6) (6) (6) (7) 10

11 S2.2. Harmonc model Table S5 Isotropc ADPs and ste occupancy factor of Sn from the harmonc model Sample A T (K) U so Sn (Å 2 ) U so Te (Å 2 ) Occupancy(Sn) R 1 R obs wr obs (7) (6) (8) (16) (14) 0.977(2) (11) (9) (12) (10) (8) (12) (6) (5) (8) (6) (5) (8) (5) (4) (7) Sample B T (K) U so Sn (Å 2 ) U so Te (Å 2 ) Occupancy(Sn) R 1 R obs wr obs (2) (2) 0.973(2) (2) (19) 0.978(2) (2) (18) (18) (19) (16) (12) (19) (17) (12) (18) (16) (16)

12 S2.3. Anharmonc model Table S6 Gram Charler coeffcents and ste occupancy factor of Sn. Te s refned harmoncally. Sample A T (K) D 1111 Sn (Å 4 ) D 1122 Sn (Å 4 ) Occupancy(Sn) (3) (9) 0.980(9) (9) (5) 0.980(3) (6) (3) (14) (9) (4) (15) (5) (19) (10) (6) (3) (10) (9) (4) (9) Sample B T (K) D 1111 Sn (Å 4 ) D 1122 Sn (Å 4 ) Occupancy(Sn) (16) (7) 0.980(2) (15) (6) 0.984(2) (12) (5) (19) (15) (6) 0.986(2) (17) (8) (13) (2) (9) (18) 12

13 13

14 Fgure S6 Nuclear probablty densty functons for sample B n the anharmonc model wth both Sn and Te refned through Gram-Charler coeffcents. Both Sn and Te have been translated n the (0,0) poston. The plane of the map s the (001). The values have been normalzed to 1 and the contour are plot as (2 n )/A where 1 n 8 and A s the unnormalzed value of maxmum of nuclear densty. An addtonal contour has been added at 0.99 n the normalzed scale to show the nuclear poston. Despte the large correlatons t s ndcatve to notce evdent non-sphercal features, especally for the Te atom. At 200 K the Te nuclear maxma are not n the hgh symmetry poston. Fgure S7 Nuclear probablty densty functons for sample B at 200 K n the anharmonc model wth Te refned through Gram-Charler coeffcents whle keepng Sn harmonc. The maps have been plotted wth the same settngs as Fgure S2. 14

15 Fgure S8 Nuclear probablty densty functons for sample A n the anharmonc model wth both Sn and Te refned wth Gram-Charler coeffcents. The maps have been plotted wth the same settngs as Fgure S2. No devatons from sphercty are seen for Sn and Te. 15

16 S3.4 Maxmum entropy method Fgure S9 MEM electron densty maps of Sn (left) and Te (rght) n the (001) plane from 20 to 400 K for sample A. Contour values have been set to [64, 128, 256, 512, 1024, 2048] eå

17 Fgure S10 Fourer dfference (F obs-f MEM) maps n the (100) plane at dfferent temperatures for sample A. The values have been normalzed between Δρ max and Δρ mn. Fgure S11 Fourer dfference (F obs-f NXMEM) maps at dfferent temperatures for sample A. The values have been normalzed between Δρ max and Δρ mn 17

18 Fgure S12 MEM electron densty maps of Sn (left) and Te (rght) n the (001) plane from 20 to 300 K for sample B. Contour values have been set to [64, 128, 256, 512, 1024, 2048] eå

19 Fgure S13 Fourer dfference (F obs-f MEM) maps at dfferent temperatures for sample B. The values have been normalzed between Δρ max and Δρ mn. 19

20 Fgure S14 Fourer dfference (F obs-f NXMEM) maps at dfferent temperatures for sample B. The values have been normalzed between Δρ max and Δρ mn. 20

21 Fgure S15 Integral breadth β (deg), (y axs) as functon of Temperature (K). The low order reflectons show a slght broadenng approachng 10 K. (002) and (004) should not splt or broaden f a phase transton Fm3 m R3m occurs. At hgh 2θ values the broadenng appears neglgble. 21

22 Fgure S16 Comparson of low order reflectons at 10 and 150 K. Fgure S17 Comparson of hgh order reflectons at 10 and 150 K. 22

2010 Black Engineering Building, Department of Mechanical Engineering. Iowa State University, Ames, IA, 50011

2010 Black Engineering Building, Department of Mechanical Engineering. Iowa State University, Ames, IA, 50011 Interface Energy Couplng between -tungsten Nanoflm and Few-layered Graphene Meng Han a, Pengyu Yuan a, Jng Lu a, Shuyao S b, Xaolong Zhao b, Yanan Yue c, Xnwe Wang a,*, Xangheng Xao b,* a 2010 Black Engneerng

More information

Multi-Scale Weighted Nuclear Norm Image Restoration: Supplementary Material

Multi-Scale Weighted Nuclear Norm Image Restoration: Supplementary Material Mult-Scale Weghted Nuclear Norm Image Restoraton: Supplementary Materal 1. We provde a detaled dervaton of the z-update step (Equatons (9)-(11)).. We report the deblurrng results for the ndvdual mages

More information

Chapter 3 Describing Data Using Numerical Measures

Chapter 3 Describing Data Using Numerical Measures Chapter 3 Student Lecture Notes 3-1 Chapter 3 Descrbng Data Usng Numercal Measures Fall 2006 Fundamentals of Busness Statstcs 1 Chapter Goals To establsh the usefulness of summary measures of data. The

More information

MAGNETISM MAGNETIC DIPOLES

MAGNETISM MAGNETIC DIPOLES MAGNETISM We now turn to magnetsm. Ths has actually been used for longer than electrcty. People were usng compasses to sal around the Medterranean Sea several hundred years BC. However t was not understood

More information

Materials Research Institute Rietveld Analysis Workshop April Isaac Abrahams Queen Mary University of London

Materials Research Institute Rietveld Analysis Workshop April Isaac Abrahams Queen Mary University of London Materals Research Insttute Retveld Analyss Worshop Aprl 015 Isaac Abrahams Queen Mary Unversty of London Structure Refnement The Retveld method s a structure refnement technque for powder dffracton data

More information

Temperature. Chapter Heat Engine

Temperature. Chapter Heat Engine Chapter 3 Temperature In prevous chapters of these notes we ntroduced the Prncple of Maxmum ntropy as a technque for estmatng probablty dstrbutons consstent wth constrants. In Chapter 9 we dscussed the

More information

Rate of Absorption and Stimulated Emission

Rate of Absorption and Stimulated Emission MIT Department of Chemstry 5.74, Sprng 005: Introductory Quantum Mechancs II Instructor: Professor Andre Tokmakoff p. 81 Rate of Absorpton and Stmulated Emsson The rate of absorpton nduced by the feld

More information

EURAMET.M.D-S2 Final Report Final report

EURAMET.M.D-S2 Final Report Final report Fnal report on ERAMET blateral comparson on volume of mass standards Project number: 1356 (ERAMET.M.D-S2) Volume of mass standards of 10g, 20 g, 200 g, 1 kg Zoltan Zelenka 1 ; Stuart Davdson 2 ; Cslla

More information

EML 5223 Structural Dynamics HW 10. Gun Lee(UFID )

EML 5223 Structural Dynamics HW 10. Gun Lee(UFID ) E 5 Structural Dynamcs HW Gun ee(ufid895-47) Problem 9. ubular shaft of radus r ( ) r[ + ( )/ ], thcknesst, mass per unt volume ρ and shear modulus G. t r( ). Shaft s symmetrc wth respect to /. ass moment

More information

A Robust Method for Calculating the Correlation Coefficient

A Robust Method for Calculating the Correlation Coefficient A Robust Method for Calculatng the Correlaton Coeffcent E.B. Nven and C. V. Deutsch Relatonshps between prmary and secondary data are frequently quantfed usng the correlaton coeffcent; however, the tradtonal

More information

Frequency dependence of the permittivity

Frequency dependence of the permittivity Frequency dependence of the permttvty February 7, 016 In materals, the delectrc constant and permeablty are actually frequency dependent. Ths does not affect our results for sngle frequency modes, but

More information

Message modification, neutral bits and boomerangs

Message modification, neutral bits and boomerangs Message modfcaton, neutral bts and boomerangs From whch round should we start countng n SHA? Antone Joux DGA and Unversty of Versalles St-Quentn-en-Yvelnes France Jont work wth Thomas Peyrn 1 Dfferental

More information

Supplementary Materials for

Supplementary Materials for advances.scencemag.org/cg/content/full/2/7/e1600304/dc1 Supplementary Materals for Interface-drven topologcal Hall effect n SrRuO3-SrIrO3 blayer Jobu Matsuno, Naok Ogawa, Kenj Yasuda, Fumtaka Kagawa, Wataru

More information

DC Circuits. Crossing the emf in this direction +ΔV

DC Circuits. Crossing the emf in this direction +ΔV DC Crcuts Delverng a steady flow of electrc charge to a crcut requres an emf devce such as a battery, solar cell or electrc generator for example. mf stands for electromotve force, but an emf devce transforms

More information

Relevant polarimetric parameters for surface characterization using SAR data

Relevant polarimetric parameters for surface characterization using SAR data Relevant polarmetrc parameters for surface characterzaton usng SAR data INTRODUCTION S. Allan, L. Ferro-Faml, E. Potter Unversty of Rennes I.E.T.R, UMR CNRS 664, Image and Remote Sensng Group Campus de

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

ECEN 5005 Crystals, Nanocrystals and Device Applications Class 19 Group Theory For Crystals

ECEN 5005 Crystals, Nanocrystals and Device Applications Class 19 Group Theory For Crystals ECEN 5005 Crystals, Nanocrystals and Devce Applcatons Class 9 Group Theory For Crystals Dee Dagram Radatve Transton Probablty Wgner-Ecart Theorem Selecton Rule Dee Dagram Expermentally determned energy

More information

LNG CARGO TRANSFER CALCULATION METHODS AND ROUNDING-OFFS

LNG CARGO TRANSFER CALCULATION METHODS AND ROUNDING-OFFS CARGO TRANSFER CALCULATION METHODS AND ROUNDING-OFFS CONTENTS 1. Method for determnng transferred energy durng cargo transfer. Calculatng the transferred energy.1 Calculatng the gross transferred energy.1.1

More information

Analytical Chemistry Calibration Curve Handout

Analytical Chemistry Calibration Curve Handout I. Quck-and Drty Excel Tutoral Analytcal Chemstry Calbraton Curve Handout For those of you wth lttle experence wth Excel, I ve provded some key technques that should help you use the program both for problem

More information

Introduction to Jana2006

Introduction to Jana2006 Introducton to Jana006 Vaclav Petrcek, Mchal Dusek & Lukas Palatnus Insttute of Physcs, Academy of Scences, Praga, Czech Republc Program for structure analyss of crystals perodc n three or more dmensons

More information

Supporting Information

Supporting Information Supportng Informaton Water structure at the ar-aqueous nterface of dvalent caton and ntrate solutons Man Xu, Rck Spnney, Heather C. Allen* allen@chemstry.oho-state.edu Fresnel factors and spectra normalzaton

More information

Comparison of Regression Lines

Comparison of Regression Lines STATGRAPHICS Rev. 9/13/2013 Comparson of Regresson Lnes Summary... 1 Data Input... 3 Analyss Summary... 4 Plot of Ftted Model... 6 Condtonal Sums of Squares... 6 Analyss Optons... 7 Forecasts... 8 Confdence

More information

EPR Paradox and the Physical Meaning of an Experiment in Quantum Mechanics. Vesselin C. Noninski

EPR Paradox and the Physical Meaning of an Experiment in Quantum Mechanics. Vesselin C. Noninski EPR Paradox and the Physcal Meanng of an Experment n Quantum Mechancs Vesseln C Nonnsk vesselnnonnsk@verzonnet Abstract It s shown that there s one purely determnstc outcome when measurement s made on

More information

WHOLE-POWDER-PATTERN DECOMPOSITION METHOD

WHOLE-POWDER-PATTERN DECOMPOSITION METHOD The Rgaku Journal Vol. 6/ o. / 1989 COTRIBUTED PAPERS WHOLE-POWDER-PATTER DECOMPOSITIO METHOD HIDEO TORAYA agoya Insttute of Technology, 10-6-9 Asahgaoka, Tam, Gfu 507, Japan 1. Introducton The peak overlappng

More information

Thermodynamics General

Thermodynamics General Thermodynamcs General Lecture 1 Lecture 1 s devoted to establshng buldng blocks for dscussng thermodynamcs. In addton, the equaton of state wll be establshed. I. Buldng blocks for thermodynamcs A. Dmensons,

More information

Inductance Calculation for Conductors of Arbitrary Shape

Inductance Calculation for Conductors of Arbitrary Shape CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors

More information

Lecture 4: September 12

Lecture 4: September 12 36-755: Advanced Statstcal Theory Fall 016 Lecture 4: September 1 Lecturer: Alessandro Rnaldo Scrbe: Xao Hu Ta Note: LaTeX template courtesy of UC Berkeley EECS dept. Dsclamer: These notes have not been

More information

Development of a Semi-Automated Approach for Regional Corrector Surface Modeling in GPS-Levelling

Development of a Semi-Automated Approach for Regional Corrector Surface Modeling in GPS-Levelling Development of a Sem-Automated Approach for Regonal Corrector Surface Modelng n GPS-Levellng G. Fotopoulos, C. Kotsaks, M.G. Sders, and N. El-Shemy Presented at the Annual Canadan Geophyscal Unon Meetng

More information

Susceptibility and Inverted Hysteresis Loop of Prussian Blue Analogs with Orthorhombic Structure

Susceptibility and Inverted Hysteresis Loop of Prussian Blue Analogs with Orthorhombic Structure Commun. Theor. Phys. 58 (202) 772 776 Vol. 58, No. 5, November 5, 202 Susceptblty and Inverted Hysteress Loop of Prussan Blue Analogs wth Orthorhombc Structure GUO An-Bang (ÁËǑ) and JIANG We ( å) School

More information

Physics 2102 Spring 2007 Lecture 10 Current and Resistance

Physics 2102 Spring 2007 Lecture 10 Current and Resistance esstance Is Futle! Physcs 0 Sprng 007 Jonathan Dowlng Physcs 0 Sprng 007 Lecture 0 Current and esstance Georg Smon Ohm (789-854) What are we gong to learn? A road map lectrc charge lectrc force on other

More information

Quantum states of deuterons in palladium

Quantum states of deuterons in palladium Tsuchda K. Quantum states of deuterons n palladum. n Tenth Internatonal Conference on Cold Fuson. 003. Cambrdge MA: LENR-CANR.org. Ths paper was presented at the 10th Internatonal Conference on Cold Fuson.

More information

8. Superfluid to Mott-insulator transition

8. Superfluid to Mott-insulator transition 8. Superflud to Mott-nsulator transton Overvew Optcal lattce potentals Soluton of the Schrödnger equaton for perodc potentals Band structure Bloch oscllaton of bosonc and fermonc atoms n optcal lattces

More information

The Geometry of Logit and Probit

The Geometry of Logit and Probit The Geometry of Logt and Probt Ths short note s meant as a supplement to Chapters and 3 of Spatal Models of Parlamentary Votng and the notaton and reference to fgures n the text below s to those two chapters.

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION do: 0.08/nature09 I. Resonant absorpton of XUV pulses n Kr + usng the reduced densty matrx approach The quantum beats nvestgated n ths paper are the result of nterference between two exctaton paths of

More information

One-sided finite-difference approximations suitable for use with Richardson extrapolation

One-sided finite-difference approximations suitable for use with Richardson extrapolation Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,

More information

Electrostatic Potential from Transmembrane Currents

Electrostatic Potential from Transmembrane Currents Electrostatc Potental from Transmembrane Currents Let s assume that the current densty j(r, t) s ohmc;.e., lnearly proportonal to the electrc feld E(r, t): j = σ c (r)e (1) wth conductvty σ c = σ c (r).

More information

Power law and dimension of the maximum value for belief distribution with the max Deng entropy

Power law and dimension of the maximum value for belief distribution with the max Deng entropy Power law and dmenson of the maxmum value for belef dstrbuton wth the max Deng entropy Bngy Kang a, a College of Informaton Engneerng, Northwest A&F Unversty, Yanglng, Shaanx, 712100, Chna. Abstract Deng

More information

Error Bars in both X and Y

Error Bars in both X and Y Error Bars n both X and Y Wrong ways to ft a lne : 1. y(x) a x +b (σ x 0). x(y) c y + d (σ y 0) 3. splt dfference between 1 and. Example: Prmordal He abundance: Extrapolate ft lne to [ O / H ] 0. [ He

More information

Moments of Inertia. and reminds us of the analogous equation for linear momentum p= mv, which is of the form. The kinetic energy of the body is.

Moments of Inertia. and reminds us of the analogous equation for linear momentum p= mv, which is of the form. The kinetic energy of the body is. Moments of Inerta Suppose a body s movng on a crcular path wth constant speed Let s consder two quanttes: the body s angular momentum L about the center of the crcle, and ts knetc energy T How are these

More information

Ph 219a/CS 219a. Exercises Due: Wednesday 23 October 2013

Ph 219a/CS 219a. Exercises Due: Wednesday 23 October 2013 1 Ph 219a/CS 219a Exercses Due: Wednesday 23 October 2013 1.1 How far apart are two quantum states? Consder two quantum states descrbed by densty operators ρ and ρ n an N-dmensonal Hlbert space, and consder

More information

Chapter 4. Velocity analysis

Chapter 4. Velocity analysis 1 Chapter 4 Velocty analyss Introducton The objectve of velocty analyss s to determne the sesmc veloctes of layers n the subsurface. Sesmc veloctes are used n many processng and nterpretaton stages such

More information

Characterization of Multi-Carrier Heterostructure Devices with Quantitative Mobility Spectrum Analysis and Variable Field Hall Measurements

Characterization of Multi-Carrier Heterostructure Devices with Quantitative Mobility Spectrum Analysis and Variable Field Hall Measurements Characterzaton of Mult-Carrer Heterostructure Devces wth Quanttatve Moblty Spectrum Analyss and Varable Feld Hall Measurements J. R. Lndemuth, Gang Du, and B. C. Dodrll Lake Shore Cryotroncs, Inc., 575

More information

Pressure Measurements Laboratory

Pressure Measurements Laboratory Lab # Pressure Measurements Laboratory Objectves:. To get hands-on experences on how to make pressure (surface pressure, statc pressure and total pressure nsde flow) measurements usng conventonal pressuremeasurng

More information

Electron-Impact Double Ionization of the H 2

Electron-Impact Double Ionization of the H 2 I R A P 6(), Dec. 5, pp. 9- Electron-Impact Double Ionzaton of the H olecule Internatonal Scence Press ISSN: 9-59 Electron-Impact Double Ionzaton of the H olecule. S. PINDZOLA AND J. COLGAN Department

More information

DETERMINATION OF UNCERTAINTY ASSOCIATED WITH QUANTIZATION ERRORS USING THE BAYESIAN APPROACH

DETERMINATION OF UNCERTAINTY ASSOCIATED WITH QUANTIZATION ERRORS USING THE BAYESIAN APPROACH Proceedngs, XVII IMEKO World Congress, June 7, 3, Dubrovn, Croata Proceedngs, XVII IMEKO World Congress, June 7, 3, Dubrovn, Croata TC XVII IMEKO World Congress Metrology n the 3rd Mllennum June 7, 3,

More information

MATH 5630: Discrete Time-Space Model Hung Phan, UMass Lowell March 1, 2018

MATH 5630: Discrete Time-Space Model Hung Phan, UMass Lowell March 1, 2018 MATH 5630: Dscrete Tme-Space Model Hung Phan, UMass Lowell March, 08 Newton s Law of Coolng Consder the coolng of a well strred coffee so that the temperature does not depend on space Newton s law of collng

More information

U-Pb Geochronology Practical: Background

U-Pb Geochronology Practical: Background U-Pb Geochronology Practcal: Background Basc Concepts: accuracy: measure of the dfference between an expermental measurement and the true value precson: measure of the reproducblty of the expermental result

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

Physics 607 Exam 1. ( ) = 1, Γ( z +1) = zγ( z) x n e x2 dx = 1. e x2

Physics 607 Exam 1. ( ) = 1, Γ( z +1) = zγ( z) x n e x2 dx = 1. e x2 Physcs 607 Exam 1 Please be well-organzed, and show all sgnfcant steps clearly n all problems. You are graded on your wor, so please do not just wrte down answers wth no explanaton! Do all your wor on

More information

Problem Points Score Total 100

Problem Points Score Total 100 Physcs 450 Solutons of Sample Exam I Problem Ponts Score 1 8 15 3 17 4 0 5 0 Total 100 All wor must be shown n order to receve full credt. Wor must be legble and comprehensble wth answers clearly ndcated.

More information

Linear Approximation with Regularization and Moving Least Squares

Linear Approximation with Regularization and Moving Least Squares Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...

More information

Supplementary Notes for Chapter 9 Mixture Thermodynamics

Supplementary Notes for Chapter 9 Mixture Thermodynamics Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects

More information

Quantum Mechanics I Problem set No.1

Quantum Mechanics I Problem set No.1 Quantum Mechancs I Problem set No.1 Septembe0, 2017 1 The Least Acton Prncple The acton reads S = d t L(q, q) (1) accordng to the least (extremal) acton prncple, the varaton of acton s zero 0 = δs = t

More information

Polymer Analysis. Chapter 2. Error Analysis/Statistical Descriptions of Data.

Polymer Analysis. Chapter 2. Error Analysis/Statistical Descriptions of Data. Polymer Analyss Chapter. Error Analyss/Statstcal Descrptons of Data. All Polymer Propertes are Dsperse: Polymerc materals are subject to dsperson n all analytc propertes. For example, the meltng pont n

More information

ME6750 Thermoelectrics Design and Materials

ME6750 Thermoelectrics Design and Materials ME6750 Thermoelectrcs Desgn and Materals HoSung Lee, PhD Professor of Mechancal and Aerospace Engneerng Western Mchgan Unversty July, 017 1 Outlne Part I Desgn of Thermoelectrc Generators and Coolers Part

More information

Uncertainty in measurements of power and energy on power networks

Uncertainty in measurements of power and energy on power networks Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:

More information

U.C. Berkeley CS294: Beyond Worst-Case Analysis Luca Trevisan September 5, 2017

U.C. Berkeley CS294: Beyond Worst-Case Analysis Luca Trevisan September 5, 2017 U.C. Berkeley CS94: Beyond Worst-Case Analyss Handout 4s Luca Trevsan September 5, 07 Summary of Lecture 4 In whch we ntroduce semdefnte programmng and apply t to Max Cut. Semdefnte Programmng Recall that

More information

STUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS

STUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS Blucher Mechancal Engneerng Proceedngs May 0, vol., num. www.proceedngs.blucher.com.br/evento/0wccm STUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS Takahko Kurahash,

More information

1) Silicon oxide has a typical surface potential in an aqueous medium of ϕ,0

1) Silicon oxide has a typical surface potential in an aqueous medium of ϕ,0 1) Slcon oxde has a typcal surface potental n an aqueous medum of ϕ, = 7 mv n 5 mm l at ph 9. Whch concentraton of catons do you roughly expect close to the surface? What s the average dstance between

More information

PHY2049 Exam 2 solutions Fall 2016 Solution:

PHY2049 Exam 2 solutions Fall 2016 Solution: PHY2049 Exam 2 solutons Fall 2016 General strategy: Fnd two resstors, one par at a tme, that are connected ether n SERIES or n PARALLEL; replace these two resstors wth one of an equvalent resstance. Now

More information

Amplification and Relaxation of Electron Spin Polarization in Semiconductor Devices

Amplification and Relaxation of Electron Spin Polarization in Semiconductor Devices Amplfcaton and Relaxaton of Electron Spn Polarzaton n Semconductor Devces Yury V. Pershn and Vladmr Prvman Center for Quantum Devce Technology, Clarkson Unversty, Potsdam, New York 13699-570, USA Spn Relaxaton

More information

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,

More information

Robert Eisberg Second edition CH 09 Multielectron atoms ground states and x-ray excitations

Robert Eisberg Second edition CH 09 Multielectron atoms ground states and x-ray excitations Quantum Physcs 量 理 Robert Esberg Second edton CH 09 Multelectron atoms ground states and x-ray exctatons 9-01 By gong through the procedure ndcated n the text, develop the tme-ndependent Schroednger equaton

More information

THE CURRENT BALANCE Physics 258/259

THE CURRENT BALANCE Physics 258/259 DSH 1988, 005 THE CURRENT BALANCE Physcs 58/59 The tme average force between two parallel conductors carryng an alternatng current s measured by balancng ths force aganst the gravtatonal force on a set

More information

Lecture. Polymer Thermodynamics 0331 L Chemical Potential

Lecture. Polymer Thermodynamics 0331 L Chemical Potential Prof. Dr. rer. nat. habl. S. Enders Faculty III for Process Scence Insttute of Chemcal Engneerng Department of Thermodynamcs Lecture Polymer Thermodynamcs 033 L 337 3. Chemcal Potental Polymer Thermodynamcs

More information

16 Reflection and transmission, TE mode

16 Reflection and transmission, TE mode 16 Reflecton transmsson TE mode Last lecture we learned how to represent plane-tem waves propagatng n a drecton ˆ n terms of feld phasors such that η = Ẽ = E o e j r H = ˆ Ẽ η µ ɛ = ˆ = ω µɛ E o =0. Such

More information

An (almost) unbiased estimator for the S-Gini index

An (almost) unbiased estimator for the S-Gini index An (almost unbased estmator for the S-Gn ndex Thomas Demuynck February 25, 2009 Abstract Ths note provdes an unbased estmator for the absolute S-Gn and an almost unbased estmator for the relatve S-Gn for

More information

NUMERICAL DIFFERENTIATION

NUMERICAL DIFFERENTIATION NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the

More information

A Fast Computer Aided Design Method for Filters

A Fast Computer Aided Design Method for Filters 2017 Asa-Pacfc Engneerng and Technology Conference (APETC 2017) ISBN: 978-1-60595-443-1 A Fast Computer Aded Desgn Method for Flters Gang L ABSTRACT *Ths paper presents a fast computer aded desgn method

More information

This model contains two bonds per unit cell (one along the x-direction and the other along y). So we can rewrite the Hamiltonian as:

This model contains two bonds per unit cell (one along the x-direction and the other along y). So we can rewrite the Hamiltonian as: 1 Problem set #1 1.1. A one-band model on a square lattce Fg. 1 Consder a square lattce wth only nearest-neghbor hoppngs (as shown n the fgure above): H t, j a a j (1.1) where,j stands for nearest neghbors

More information

Abneesh Srivastava and Joseph T. Hodges

Abneesh Srivastava and Joseph T. Hodges Supportng Informaton for Development of a Hgh-Resoluton Laser Absorpton Spectroscopy Method wth Applcaton to the Determnaton of Absolute Concentraton of Gaseous Elemental Mercury n Ar" Abneesh Srvastava

More information

Lab 4: Two-level Random Intercept Model

Lab 4: Two-level Random Intercept Model BIO 656 Lab4 009 Lab 4: Two-level Random Intercept Model Data: Peak expratory flow rate (pefr) measured twce, usng two dfferent nstruments, for 17 subjects. (from Chapter 1 of Multlevel and Longtudnal

More information

Quantitative Discrimination of Effective Porosity Using Digital Image Analysis - Implications for Porosity-Permeability Transforms

Quantitative Discrimination of Effective Porosity Using Digital Image Analysis - Implications for Porosity-Permeability Transforms 2004, 66th EAGE Conference, Pars Quanttatve Dscrmnaton of Effectve Porosty Usng Dgtal Image Analyss - Implcatons for Porosty-Permeablty Transforms Gregor P. Eberl 1, Gregor T. Baechle 1, Ralf Weger 1,

More information

Turbulence classification of load data by the frequency and severity of wind gusts. Oscar Moñux, DEWI GmbH Kevin Bleibler, DEWI GmbH

Turbulence classification of load data by the frequency and severity of wind gusts. Oscar Moñux, DEWI GmbH Kevin Bleibler, DEWI GmbH Turbulence classfcaton of load data by the frequency and severty of wnd gusts Introducton Oscar Moñux, DEWI GmbH Kevn Blebler, DEWI GmbH Durng the wnd turbne developng process, one of the most mportant

More information

FUZZY FINITE ELEMENT METHOD

FUZZY FINITE ELEMENT METHOD FUZZY FINITE ELEMENT METHOD RELIABILITY TRUCTURE ANALYI UING PROBABILITY 3.. Maxmum Normal tress Internal force s the shear force, V has a magntude equal to the load P and bendng moment, M. Bendng moments

More information

Laboratory 1c: Method of Least Squares

Laboratory 1c: Method of Least Squares Lab 1c, Least Squares Laboratory 1c: Method of Least Squares Introducton Consder the graph of expermental data n Fgure 1. In ths experment x s the ndependent varable and y the dependent varable. Clearly

More information

Temperature. Chapter Temperature Scales

Temperature. Chapter Temperature Scales Chapter 12 Temperature In prevous chapters of these notes we ntroduced the Prncple of Maxmum Entropy as a technque for estmatng probablty dstrbutons consstent wth constrants. In Chapter 8 we dscussed the

More information

Assignment 2. Tyler Shendruk February 19, 2010

Assignment 2. Tyler Shendruk February 19, 2010 Assgnment yler Shendruk February 9, 00 Kadar Ch. Problem 8 We have an N N symmetrc matrx, M. he symmetry means M M and we ll say the elements of the matrx are m j. he elements are pulled from a probablty

More information

12. The Hamilton-Jacobi Equation Michael Fowler

12. The Hamilton-Jacobi Equation Michael Fowler 1. The Hamlton-Jacob Equaton Mchael Fowler Back to Confguraton Space We ve establshed that the acton, regarded as a functon of ts coordnate endponts and tme, satsfes ( ) ( ) S q, t / t+ H qpt,, = 0, and

More information

RELIABILITY ASSESSMENT

RELIABILITY ASSESSMENT CHAPTER Rsk Analyss n Engneerng and Economcs RELIABILITY ASSESSMENT A. J. Clark School of Engneerng Department of Cvl and Envronmental Engneerng 4a CHAPMAN HALL/CRC Rsk Analyss for Engneerng Department

More information

[ ] λ λ λ. Multicollinearity. multicollinearity Ragnar Frisch (1934) perfect exact. collinearity. multicollinearity. exact

[ ] λ λ λ. Multicollinearity. multicollinearity Ragnar Frisch (1934) perfect exact. collinearity. multicollinearity. exact Multcollnearty multcollnearty Ragnar Frsch (934 perfect exact collnearty multcollnearty K exact λ λ λ K K x+ x+ + x 0 0.. λ, λ, λk 0 0.. x perfect ntercorrelated λ λ λ x+ x+ + KxK + v 0 0.. v 3 y β + β

More information

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests Smulated of the Cramér-von Mses Goodness-of-Ft Tests Steele, M., Chaselng, J. and 3 Hurst, C. School of Mathematcal and Physcal Scences, James Cook Unversty, Australan School of Envronmental Studes, Grffth

More information

13. One way of expressing the power dissipated by a resistor is P = ( V)

13. One way of expressing the power dissipated by a resistor is P = ( V) Current and esstance 9. One way of expressng the power dsspated by a resstor s ( ). Thus, f the potental dfference across the resstor s doubled, the power wll be ncreased by a factor of 4, to a value of

More information

WORM ALGORITHM. Nikolay Prokofiev, Umass, Amherst. Boris Svistunov, Umass, Amherst Igor Tupitsyn, PITP, Vancouver

WORM ALGORITHM. Nikolay Prokofiev, Umass, Amherst. Boris Svistunov, Umass, Amherst Igor Tupitsyn, PITP, Vancouver WOR ALGORTH Nkolay Prokofev, Umass, Amherst asha ra Bors Svstunov, Umass, Amherst gor Tuptsyn, PTP, Vancouver assmo Bonnsegn, UAlerta, Edmonton Los Angeles, January 23, 2006 Why other wth algorthms? Effcency

More information

University of Washington Department of Chemistry Chemistry 453 Winter Quarter 2015

University of Washington Department of Chemistry Chemistry 453 Winter Quarter 2015 Lecture 2. 1/07/15-1/09/15 Unversty of Washngton Department of Chemstry Chemstry 453 Wnter Quarter 2015 We are not talkng about truth. We are talkng about somethng that seems lke truth. The truth we want

More information

A linear imaging system with white additive Gaussian noise on the observed data is modeled as follows:

A linear imaging system with white additive Gaussian noise on the observed data is modeled as follows: Supplementary Note Mathematcal bacground A lnear magng system wth whte addtve Gaussan nose on the observed data s modeled as follows: X = R ϕ V + G, () where X R are the expermental, two-dmensonal proecton

More information

Dr. Fritz Wilhelm, Physics 230 E:\Excel files\230 lecture\ch26 capacitance.docx 1 of 13 Last saved: 12/27/2008; 8:40 PM. Homework: See website.

Dr. Fritz Wilhelm, Physics 230 E:\Excel files\230 lecture\ch26 capacitance.docx 1 of 13 Last saved: 12/27/2008; 8:40 PM. Homework: See website. Dr. Frtz Wlhelm, Physcs 3 E:\Excel fles\3 lecture\ch6 capactance.docx of 3 Last saved: /7/8; 8:4 PM Homework: See webste. Table of ontents: h.6. Defnton of apactance, 6. alculatng apactance, 6.a Parallel

More information

Math1110 (Spring 2009) Prelim 3 - Solutions

Math1110 (Spring 2009) Prelim 3 - Solutions Math 1110 (Sprng 2009) Solutons to Prelm 3 (04/21/2009) 1 Queston 1. (16 ponts) Short answer. Math1110 (Sprng 2009) Prelm 3 - Solutons x a 1 (a) (4 ponts) Please evaluate lm, where a and b are postve numbers.

More information

1 Derivation of Point-to-Plane Minimization

1 Derivation of Point-to-Plane Minimization 1 Dervaton of Pont-to-Plane Mnmzaton Consder the Chen-Medon (pont-to-plane) framework for ICP. Assume we have a collecton of ponts (p, q ) wth normals n. We want to determne the optmal rotaton and translaton

More information

Lecture 10: May 6, 2013

Lecture 10: May 6, 2013 TTIC/CMSC 31150 Mathematcal Toolkt Sprng 013 Madhur Tulsan Lecture 10: May 6, 013 Scrbe: Wenje Luo In today s lecture, we manly talked about random walk on graphs and ntroduce the concept of graph expander,

More information

Equivalent Circuit Analysis of Interior Permanent Magnet Synchronous Motor Considering Magnetic saturation

Equivalent Circuit Analysis of Interior Permanent Magnet Synchronous Motor Considering Magnetic saturation Page 0114 World Electrc Vehcle Journal Vol. 3 - ISSN 2032-6653 - 2009 AVERE EVS24 Stavanger, Norway, May 13-16, 2009 Euvalent Crcut Analyss of Interor Permanent Magnet Synchronous Motor Consderng Magnetc

More information

Lossy Compression. Compromise accuracy of reconstruction for increased compression.

Lossy Compression. Compromise accuracy of reconstruction for increased compression. Lossy Compresson Compromse accuracy of reconstructon for ncreased compresson. The reconstructon s usually vsbly ndstngushable from the orgnal mage. Typcally, one can get up to 0:1 compresson wth almost

More information

Note: Please use the actual date you accessed this material in your citation.

Note: Please use the actual date you accessed this material in your citation. MIT OpenCourseWare http://ocw.mt.edu 6.13/ESD.13J Electromagnetcs and Applcatons, Fall 5 Please use the followng ctaton format: Markus Zahn, Erch Ippen, and Davd Staeln, 6.13/ESD.13J Electromagnetcs and

More information

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient 58:080 Expermental Engneerng 1 OBJECTIVE Lab 2e Thermal System Response and Effectve Heat Transfer Coeffcent Warnng: though the experment has educatonal objectves (to learn about bolng heat transfer, etc.),

More information

Energy, Entropy, and Availability Balances Phase Equilibria. Nonideal Thermodynamic Property Models. Selecting an Appropriate Model

Energy, Entropy, and Availability Balances Phase Equilibria. Nonideal Thermodynamic Property Models. Selecting an Appropriate Model Lecture 4. Thermodynamcs [Ch. 2] Energy, Entropy, and Avalablty Balances Phase Equlbra - Fugactes and actvty coeffcents -K-values Nondeal Thermodynamc Property Models - P-v-T equaton-of-state models -

More information

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD Ákos Jósef Lengyel, István Ecsed Assstant Lecturer, Professor of Mechancs, Insttute of Appled Mechancs, Unversty of Mskolc, Mskolc-Egyetemváros,

More information

Lecture 6. P ω ω ε χ ω ω ω ω E ω E ω (2) χ ω ω ω χ ω ω ω χ ω ω ω (2) (2) (2) (,, ) (,, ) (,, ) (2) (2) (2)

Lecture 6. P ω ω ε χ ω ω ω ω E ω E ω (2) χ ω ω ω χ ω ω ω χ ω ω ω (2) (2) (2) (,, ) (,, ) (,, ) (2) (2) (2) Lecture 6 Symmetry Propertes of the Nonlnear Susceptblty Consder mutual nteracton of three waves: ω, ω, ω = ω + ω 3 ω = ω ω ; ω = ω ω 3 3 P ω ω ε ω ω ω ω E ω E ω n + m = 0 jk m + n, n, m j n k m jk nm

More information

8.592J: Solutions for Assignment 7 Spring 2005

8.592J: Solutions for Assignment 7 Spring 2005 8.59J: Solutons for Assgnment 7 Sprng 5 Problem 1 (a) A flament of length l can be created by addton of a monomer to one of length l 1 (at rate a) or removal of a monomer from a flament of length l + 1

More information

Frequency-Domain Analysis of Transmission Line Circuits (Part 1)

Frequency-Domain Analysis of Transmission Line Circuits (Part 1) Frequency-Doman Analyss of Transmsson Lne Crcuts (Part ) Outlne -port networs mpedance matrx representaton Admttance matrx representaton catterng matrx representaton eanng of the -parameters Generalzed

More information

Dynamics of a Superconducting Qubit Coupled to an LC Resonator

Dynamics of a Superconducting Qubit Coupled to an LC Resonator Dynamcs of a Superconductng Qubt Coupled to an LC Resonator Y Yang Abstract: We nvestgate the dynamcs of a current-based Josephson juncton quantum bt or qubt coupled to an LC resonator. The Hamltonan of

More information