The Partition Function Statistical Thermodynamics. NC State University
|
|
- Charity Griffin
- 5 years ago
- Views:
Transcription
1 Chemistry 431 Lecture 4 The Partition Function Statistical Thermodynamics NC State University
2 Molecular Partition Functions In general, g j is the degeneracy, ε j is the energy: = j q g e βε j We assume that the energy of the lowest energy level, the ground state is ε 0 = 0. Recall that β = 1/kT Examples: A.)Two level system. B.)Infinite energy ladder. j
3 Two Level System Assume that degeneracy g 0 =g 1 =1 (i.e. single state is found at each level). q = 1+e βε Note that as T 0, q 1 and as T,, q 2. The ratio of the population in the two is states e βε where ε is the energy difference between the two states. ε
4 Ensemble Partition Function We distinguish here between the partition function of the ensemble, Q and that of an individual molecule, q. Since Q represents a sum over all states accessible to the system it can written as Q(N,V,T) = Σ e β(ε i + ε j + ε k +...) i,j,k,... where the indices i,j,k, represent energy levels l of different particles.
5 The molecular partition function, q represents the energy levels of one individual molecule. We can rewrite the above sum as Q = q i q j q k or Q = q N for N particles. Note that q i means a sum over states or energy levels accessible to molecule iand q j means the same for molecule j. Σ i q(v,t) = e βε i The molecular partition function counts the energy levels accessible to molecule i only.
6 Q counts not only the states of all of the molecules, but all of the possible combinations of occupations of those states. However, if the particles are not distinguishable then we will have counted N! states too many (N! = N(N 1)(N 2).). ) This factor is exactly how many times we can swap the indices in Q(N,V,T) VT) and get the same value (again provided that the particles are not distinguishable). If we consider 3 particles we have i,j,k j,i,k, k,i,j k,j,i j,k,i i,k,j or 6 = 3!. Thus we write the partition function as Q = q N Q = q N N! for distinguishable particles for indistinguishable particles
7 Translational Partition Function The translational partition function is the most important one for statistical thermodynamics. Pressure is caused by translational motion, i.e., momentum exchange with the walls of a container. For this reason it is important to understand the origin of the translational partition function. Translational energy levels are so closely spaced as that they are essentially a continuous distribution. The quantum mechanical description of the energy levels is obtained from the quantum mechanical particle in a box.
8 Particle in a box in a energy levels The energy levels are ε h nx,n y,n z = n n n 8ma 2 x +n y +n z n x,n y,n z =1, 2,... The box is a cube of length a. The average quantum numbers will be very large for a typical molecule. This is very different than what we find for vibration and electronic levels where the quantum numbers are small (i.e. only one or a few levels are populated). Manytranslational levels arepopulated thermally.
9 The translational partition function is ε e ε n x,n y,n /kt Σ z n x,n y,n z =1 q trans = e Σ Σ Σ = exp 8 2 n 2 2 +n y2 +n n 8ma2 kt x z x =1 n y =1 n z =1 The three summations are identical and so they can be written as the cube of one summation Σ h 2 q trans = exp n = 1 h 2 n 2 8ma 2 kt The fact that the energy levels are essentially continuous and that the average quantum number is very large allows us to rewrite the sum as an integral. q trans = exp 0 3 h 2 n 2 8ma 2 kt dn 3
10 The translational partition function is proportional to volume The sum started at 1 and the integral at 0. This difference is not important if the average value of n is ca. 10 9! If we have the substitution a = h 2 /8ma 2 kt we can rewrite the integral as q trans = 0 e αn2 dn 3 = π 4α 1/2 This is a Gaussian integral. The solution of Gaussian integrals is discussed the math section of the Website. If we now plug in for a and recognize that the volume of the box is V = a 3 we have 2πmkT 3/2 V q trans = 2πmkT h 2 3
11 Probability in the ensemble The ensemble partition function is: Q = e E i /kt Σ i =0 Where the ensemble energy is E J. The population of a particular state J with energy E J is given by p J = Σ J =0 e E J / kt E J / kt e E J / kt = e EJ / kt Q This known as the Boltzmann distribution. The normalization constant of the above probability is 1/Q. The sum of all of the probabilities must equal 1.
12 Calculation of average properties The importance of the canonical ensemble is evident once we begin to calculate average thermodynamic quantities. The basic approach is to sum over the probability of a state being occupied times the value of the property in a given state. In general, for an average property M we can write < M > = Σ P M j j j M could be energy or pressure etc. P j is the Boltzmann probability given by P j = e βε j /Q.
13 Average energy If we denote the average energy <E> then E = Σ P J E = J J =0 ΣJ =0 Σ J = 0 This can be written compactly as E = ln Q E β E J e βe J e βe J
14 Consistency check with kinetic theory of gases The average energy per molecule is given by ε trans = lnqtrans β V = kt 2 lnq trans T V = kt 2 T 3 2 lnt + terms independentof T V = 3 2 kt2 1 T T T = 3 2 kt which agrees with the kinetic theory of gases. The second step follows from the fact that ln(abc) = ln(a) + ln(b) + ln(c). We can rewrite rite the logarithm as a sum. The terms that do not depend on temperature will vanish.
Chemistry 431. Lecture 27 The Ensemble Partition Function Statistical Thermodynamics. NC State University
Chemistry 431 Lecture 27 The Ensemble Partition Function Statistical Thermodynamics NC State University Representation of an Ensemble N,V,T N,V,T N,V,T N,V,T N,V,T N,V,T N,V,T N,V,T N,V,T N,V,T N,V,T N,V,T
More informationMonatomic ideal gas: partition functions and equation of state.
Monatomic ideal gas: partition functions and equation of state. Peter Košovan peter.kosovan@natur.cuni.cz Dept. of Physical and Macromolecular Chemistry Statistical Thermodynamics, MC260P105, Lecture 3,
More informationStatistical. mechanics
CHAPTER 15 Statistical Thermodynamics 1: The Concepts I. Introduction. A. Statistical mechanics is the bridge between microscopic and macroscopic world descriptions of nature. Statistical mechanics macroscopic
More information5.62 Physical Chemistry II Spring 2008
MIT OpenCourseWare http://ocw.mit.edu 5.62 Physical Chemistry II Spring 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 5.62 Lecture #9: CALCULATION
More information5.60 Thermodynamics & Kinetics Spring 2008
MIT OpenCourseWare http://ocw.mit.edu 5.60 Thermodynamics & Kinetics Spring 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 5.60 Spring 2008 Lecture
More informationVII.B Canonical Formulation
VII.B Canonical Formulation Using the states constructed in the previous section, we can calculate the canonical density matrix for non-interacting identical particles. In the coordinate representation
More informationPhysics 505 Homework No.2 Solution
Physics 55 Homework No Solution February 3 Problem Calculate the partition function of a system of N noninteracting free particles confined to a box of volume V (i) classically and (ii) quantum mechanically
More informationStatistical thermodynamics Lectures 7, 8
Statistical thermodynamics Lectures 7, 8 Quantum Classical Energy levels Bulk properties Various forms of energies. Everything turns out to be controlled by temperature CY1001 T. Pradeep Ref. Atkins 9
More informationalthough Boltzmann used W instead of Ω for the number of available states.
Lecture #13 1 Lecture 13 Obectives: 1. Ensembles: Be able to list the characteristics of the following: (a) icrocanonical (b) Canonical (c) Grand Canonical 2. Be able to use Lagrange s method of undetermined
More informationAdvanced Thermodynamics. Jussi Eloranta (Updated: January 22, 2018)
Advanced Thermodynamics Jussi Eloranta (jmeloranta@gmail.com) (Updated: January 22, 2018) Chapter 1: The machinery of statistical thermodynamics A statistical model that can be derived exactly from the
More information10.40 Lectures 23 and 24 Computation of the properties of ideal gases
1040 Lectures 3 and 4 Computation of the properties of ideal gases Bernhardt L rout October 16 003 (In preparation for Lectures 3 and 4 also read &M 1015-1017) Degrees of freedom Outline Computation of
More informationWe already came across a form of indistinguishably in the canonical partition function: V N Q =
Bosons en fermions Indistinguishability We already came across a form of indistinguishably in the canonical partition function: for distinguishable particles Q = Λ 3N βe p r, r 2,..., r N ))dτ dτ 2...
More informationIntroduction Statistical Thermodynamics. Monday, January 6, 14
Introduction Statistical Thermodynamics 1 Molecular Simulations Molecular dynamics: solve equations of motion Monte Carlo: importance sampling r 1 r 2 r n MD MC r 1 r 2 2 r n 2 3 3 4 4 Questions How can
More informationStatistical thermodynamics Lectures 7, 8
Statistical thermodynamics Lectures 7, 8 Quantum classical Energy levels Bulk properties Various forms of energies. Everything turns out to be controlled by temperature CY1001 T. Pradeep Ref. Atkins 7
More informationStatistical thermodynamics L1-L3. Lectures 11, 12, 13 of CY101
Statistical thermodynamics L1-L3 Lectures 11, 12, 13 of CY101 Need for statistical thermodynamics Microscopic and macroscopic world Distribution of energy - population Principle of equal a priori probabilities
More informationStatistical thermodynamics for MD and MC simulations
Statistical thermodynamics for MD and MC simulations knowing 2 atoms and wishing to know 10 23 of them Marcus Elstner and Tomáš Kubař 22 June 2016 Introduction Thermodynamic properties of molecular systems
More informationThe properties of an ideal Fermi gas are strongly determined by the Pauli principle. We shall consider the limit:
Chapter 13 Ideal Fermi gas The properties of an ideal Fermi gas are strongly determined by the Pauli principle. We shall consider the limit: k B T µ, βµ 1, which defines the degenerate Fermi gas. In this
More information(# = %(& )(* +,(- Closed system, well-defined energy (or e.g. E± E/2): Microcanonical ensemble
Recall from before: Internal energy (or Entropy): &, *, - (# = %(& )(* +,(- Closed system, well-defined energy (or e.g. E± E/2): Microcanonical ensemble & = /01Ω maximized Ω: fundamental statistical quantity
More informationThermal and Statistical Physics Department Exam Last updated November 4, L π
Thermal and Statistical Physics Department Exam Last updated November 4, 013 1. a. Define the chemical potential µ. Show that two systems are in diffusive equilibrium if µ 1 =µ. You may start with F =
More information5.62 Physical Chemistry II Spring 2008
MIT OpenCourseWare http://ocw.mit.edu 5.62 Physical Chemistry II Spring 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 5.62 Lecture #12: Rotational
More informationAtkins / Paula Physical Chemistry, 8th Edition. Chapter 16. Statistical thermodynamics 1: the concepts
Atkins / Paula Physical Chemistry, 8th Edition Chapter 16. Statistical thermodynamics 1: the concepts The distribution of molecular states 16.1 Configurations and weights 16.2 The molecular partition function
More informationThe Ideal Gas. One particle in a box:
IDEAL GAS The Ideal Gas It is an important physical example that can be solved exactly. All real gases behave like ideal if the density is small enough. In order to derive the law, we have to do following:
More information2m + U( q i), (IV.26) i=1
I.D The Ideal Gas As discussed in chapter II, micro-states of a gas of N particles correspond to points { p i, q i }, in the 6N-dimensional phase space. Ignoring the potential energy of interactions, the
More informationQuantum Grand Canonical Ensemble
Chapter 16 Quantum Grand Canonical Ensemble How do we proceed quantum mechanically? For fermions the wavefunction is antisymmetric. An N particle basis function can be constructed in terms of single-particle
More informationLecture 7: Kinetic Theory of Gases, Part 2. ! = mn v x
Lecture 7: Kinetic Theory of Gases, Part 2 Last lecture, we began to explore the behavior of an ideal gas in terms of the molecules in it We found that the pressure of the gas was: P = N 2 mv x,i! = mn
More information2. Thermodynamics. Introduction. Understanding Molecular Simulation
2. Thermodynamics Introduction Molecular Simulations Molecular dynamics: solve equations of motion r 1 r 2 r n Monte Carlo: importance sampling r 1 r 2 r n How do we know our simulation is correct? Molecular
More information3. RATE LAW AND STOICHIOMETRY
Page 1 of 39 3. RATE LAW AND STOICHIOMETRY Professional Reference Shelf R3.2 Abbreviated Lecture Notes Full Lecture Notes I. Overview II. Introduction A. The Transition State B. Procedure to Calculate
More informationIdeal gases. Asaf Pe er Classical ideal gas
Ideal gases Asaf Pe er 1 November 2, 213 1. Classical ideal gas A classical gas is generally referred to as a gas in which its molecules move freely in space; namely, the mean separation between the molecules
More informationrate of reaction forward conc. reverse time P time Chemical Equilibrium Introduction Dynamic Equilibrium Dynamic Equilibrium + RT ln f p
Chemical Equilibrium Chapter 9 of Atkins: Sections 9.1-9.2 Spontaneous Chemical Reactions The Gibbs Energy Minimum The reaction Gibbs energy Exergonic and endergonic reactions The Description of Equilibrium
More informationRecitation: 10 11/06/03
Recitation: 10 11/06/03 Ensembles and Relation to T.D. It is possible to expand both sides of the equation with F = kt lnq Q = e βe i If we expand both sides of this equation, we apparently obtain: i F
More information+ kt φ P N lnφ + φ lnφ
3.01 practice problems thermo solutions 3.01 Issued: 1.08.04 Fall 004 Not due THERODYNAICS 1. Flory-Huggins Theory. We introduced a simple lattice model for polymer solutions in lectures 4 and 5. The Flory-Huggins
More informationPhysics 576 Stellar Astrophysics Prof. James Buckley. Lecture 14 Relativistic Quantum Mechanics and Quantum Statistics
Physics 576 Stellar Astrophysics Prof. James Buckley Lecture 14 Relativistic Quantum Mechanics and Quantum Statistics Reading/Homework Assignment Read chapter 3 in Rose. Midterm Exam, April 5 (take home)
More informationL11.P1 Lecture 11. Quantum statistical mechanics: summary
Lecture 11 Page 1 L11.P1 Lecture 11 Quantum statistical mechanics: summary At absolute zero temperature, a physical system occupies the lowest possible energy configuration. When the temperature increases,
More informationA Brief Introduction to Statistical Mechanics
A Brief Introduction to Statistical Mechanics E. J. Maginn, J. K. Shah Department of Chemical and Biomolecular Engineering University of Notre Dame Notre Dame, IN 46556 USA Monte Carlo Workshop Universidade
More informationKinetic theory. Collective behaviour of large systems Statistical basis for the ideal gas equation Deviations from ideality
Kinetic theory Collective behaviour of large systems Statistical basis for the ideal gas equation Deviations from ideality Learning objectives Describe physical basis for the kinetic theory of gases Describe
More information(i) T, p, N Gibbs free energy G (ii) T, p, µ no thermodynamic potential, since T, p, µ are not independent of each other (iii) S, p, N Enthalpy H
Solutions exam 2 roblem 1 a Which of those quantities defines a thermodynamic potential Why? 2 points i T, p, N Gibbs free energy G ii T, p, µ no thermodynamic potential, since T, p, µ are not independent
More informationPhysics 607 Final Exam
Physics 607 Final Exam Please be well-organized, and show all significant steps clearly in all problems. You are graded on your work, so please do not just write down answers with no explanation! Do all
More informationStatistical Mechanics in a Nutshell
Chapter 2 Statistical Mechanics in a Nutshell Adapted from: Understanding Molecular Simulation Daan Frenkel and Berend Smit Academic Press (2001) pp. 9-22 11 2.1 Introduction In this course, we will treat
More informationFoundations of Chemical Kinetics. Lecture 19: Unimolecular reactions in the gas phase: RRKM theory
Foundations of Chemical Kinetics Lecture 19: Unimolecular reactions in the gas phase: RRKM theory Marc R. Roussel Department of Chemistry and Biochemistry Canonical and microcanonical ensembles Canonical
More informationStatistical Thermodynamics and Monte-Carlo Evgenii B. Rudnyi and Jan G. Korvink IMTEK Albert Ludwig University Freiburg, Germany
Statistical Thermodynamics and Monte-Carlo Evgenii B. Rudnyi and Jan G. Korvink IMTEK Albert Ludwig University Freiburg, Germany Preliminaries Learning Goals From Micro to Macro Statistical Mechanics (Statistical
More informationLecture 8. The Second Law of Thermodynamics; Energy Exchange
Lecture 8 The Second Law of Thermodynamics; Energy Exchange The second law of thermodynamics Statistics of energy exchange General definition of temperature Why heat flows from hot to cold Reading for
More information9.1 System in contact with a heat reservoir
Chapter 9 Canonical ensemble 9. System in contact with a heat reservoir We consider a small system A characterized by E, V and N in thermal interaction with a heat reservoir A 2 characterized by E 2, V
More informationLecture 6: Ideal gas ensembles
Introduction Lecture 6: Ideal gas ensembles A simple, instructive and practical application of the equilibrium ensemble formalisms of the previous lecture concerns an ideal gas. Such a physical system
More informationLecture 2: Intro. Statistical Mechanics
Lecture 2: Intro. Statistical Mechanics Statistical mechanics: concepts Aims: A microscopic view of entropy: Joule expansion reviewed. Boltzmann s postulate. S k ln g. Methods: Calculating arrangements;
More informationLecture 8. The Second Law of Thermodynamics; Energy Exchange
Lecture 8 The Second Law of Thermodynamics; Energy Exchange The second law of thermodynamics Statistics of energy exchange General definition of temperature Why heat flows from hot to cold Reading for
More informationPart II: Statistical Physics
Chapter 6: Boltzmann Statistics SDSMT, Physics Fall Semester: Oct. - Dec., 2013 1 Introduction: Very brief 2 Boltzmann Factor Isolated System and System of Interest Boltzmann Factor The Partition Function
More informationFoundations of Chemical Kinetics. Lecture 18: Unimolecular reactions in the gas phase: RRK theory
Foundations of Chemical Kinetics Lecture 18: Unimolecular reactions in the gas phase: RRK theory Marc R. Roussel Department of Chemistry and Biochemistry Frequentist interpretation of probability and chemical
More informationMicroscopic Treatment of the Equilibrium Constant. Lecture
Microscopic Treatment of the Equilibrium Constant Lecture The chemical potential The chemical potential can be expressed in terms of the partition function: μ = RT ln Q j j N j To see this we first expand
More information213 Midterm coming up
213 Midterm coming up Monday April 8 @ 7 pm (conflict exam @ 5:15pm) Covers: Lectures 1-12 (not including thermal radiation) HW 1-4 Discussion 1-4 Labs 1-2 Review Session Sunday April 7, 3-5 PM, 141 Loomis
More informationChE 503 A. Z. Panagiotopoulos 1
ChE 503 A. Z. Panagiotopoulos 1 STATISTICAL MECHANICAL ENSEMLES 1 MICROSCOPIC AND MACROSCOPIC ARIALES The central question in Statistical Mechanics can be phrased as follows: If particles (atoms, molecules,
More informationwhere (E) is the partition function of the uniform ensemble. Recalling that we have (E) = E (E) (E) i = ij x (E) j E = ij ln (E) E = k ij ~ S E = kt i
G25.265: Statistical Mechanics Notes for Lecture 4 I. THE CLASSICAL VIRIAL THEOREM (MICROCANONICAL DERIVATION) Consider a system with Hamiltonian H(x). Let x i and x j be specic components of the phase
More informationI. BASICS OF STATISTICAL MECHANICS AND QUANTUM MECHANICS
I. BASICS OF STATISTICAL MECHANICS AND QUANTUM MECHANICS Marus Holzmann LPMMC, Maison de Magistère, Grenoble, and LPTMC, Jussieu, Paris marus@lptl.jussieu.fr http://www.lptl.jussieu.fr/users/marus (Dated:
More informationPart II: Statistical Physics
Chapter 6: Boltzmann Statistics SDSMT, Physics Fall Semester: Oct. - Dec., 2014 1 Introduction: Very brief 2 Boltzmann Factor Isolated System and System of Interest Boltzmann Factor The Partition Function
More informationMonte Carlo (MC) Simulation Methods. Elisa Fadda
Monte Carlo (MC) Simulation Methods Elisa Fadda 1011-CH328, Molecular Modelling & Drug Design 2011 Experimental Observables A system observable is a property of the system state. The system state i is
More informationPHYSICS 219 Homework 2 Due in class, Wednesday May 3. Makeup lectures on Friday May 12 and 19, usual time. Location will be ISB 231 or 235.
PHYSICS 219 Homework 2 Due in class, Wednesday May 3 Note: Makeup lectures on Friday May 12 and 19, usual time. Location will be ISB 231 or 235. No lecture: May 8 (I m away at a meeting) and May 29 (holiday).
More informationPhysics 127b: Statistical Mechanics. Lecture 2: Dense Gas and the Liquid State. Mayer Cluster Expansion
Physics 27b: Statistical Mechanics Lecture 2: Dense Gas and the Liquid State Mayer Cluster Expansion This is a method to calculate the higher order terms in the virial expansion. It introduces some general
More informationPHYS 352 Homework 2 Solutions
PHYS 352 Homework 2 Solutions Aaron Mowitz (, 2, and 3) and Nachi Stern (4 and 5) Problem The purpose of doing a Legendre transform is to change a function of one or more variables into a function of variables
More information1 Particles in a room
Massachusetts Institute of Technology MITES 208 Physics III Lecture 07: Statistical Physics of the Ideal Gas In these notes we derive the partition function for a gas of non-interacting particles in a
More informationChapter 18 Thermal Properties of Matter
Chapter 18 Thermal Properties of Matter In this section we define the thermodynamic state variables and their relationship to each other, called the equation of state. The system of interest (most of the
More informationFluctuations of Trapped Particles
Fluctuations of Trapped Particles M.V.N. Murthy with Muoi Tran and R.K. Bhaduri (McMaster) IMSc Chennai Department of Physics, University of Mysore, Nov 2005 p. 1 Ground State Fluctuations Ensembles in
More informationME 262A - Physical Gas Dynamics 1996 Final Exam: Open Book Portion. h = 6.62 x J s Energy conversion factor: 1 calorie = 4.
Name: ME 262A - Physical Gas Dynamics 1996 Final Exam: Open Book Portion Useful data and information: k = 1.38 x 10-23 J/K h = 6.62 x 10-34 J s Energy conversion factor: 1 calorie = 4.2 J 1. (40 points)
More informationADIABATIC PROCESS Q = 0
THE KINETIC THEORY OF GASES Mono-atomic Fig.1 1 3 Average kinetic energy of a single particle Fig.2 INTERNAL ENERGY U and EQUATION OF STATE For a mono-atomic gas, we will assume that the total energy
More informationto satisfy the large number approximations, W W sys can be small.
Chapter 12. The canonical ensemble To discuss systems at constant T, we need to embed them with a diathermal wall in a heat bath. Note that only the system and bath need to be large for W tot and W bath
More informationd 3 r d 3 vf( r, v) = N (2) = CV C = n where n N/V is the total number of molecules per unit volume. Hence e βmv2 /2 d 3 rd 3 v (5)
LECTURE 12 Maxwell Velocity Distribution Suppose we have a dilute gas of molecules, each with mass m. If the gas is dilute enough, we can ignore the interactions between the molecules and the energy will
More informationCHEM-UA 652: Thermodynamics and Kinetics
1 CHEM-UA 652: Thermodynamics and Kinetics Notes for Lecture 4 I. THE ISOTHERMAL-ISOBARIC ENSEMBLE The isothermal-isobaric ensemble is the closest mimic to the conditions under which most experiments are
More informationSolid Thermodynamics (1)
Solid Thermodynamics (1) Class notes based on MIT OCW by KAN K.A.Nelson and MB M.Bawendi Statistical Mechanics 2 1. Mathematics 1.1. Permutation: - Distinguishable balls (numbers on the surface of the
More information4. Systems in contact with a thermal bath
4. Systems in contact with a thermal bath So far, isolated systems microcanonical methods 4.1 Constant number of particles:kittelkroemer Chap. 3 Boltzmann factor Partition function canonical methods Ideal
More informationChE 524 A. Z. Panagiotopoulos 1
ChE 524 A. Z. Panagiotopoulos 1 VIRIAL EXPANSIONS 1 As derived previously, at the limit of low densities, all classical fluids approach ideal-gas behavior: P = k B T (1) Consider the canonical partition
More informationSpeed Distribution at CONSTANT Temperature is given by the Maxwell Boltzmann Speed Distribution
Temperature ~ Average KE of each particle Particles have different speeds Gas Particles are in constant RANDOM motion Average KE of each particle is: 3/2 kt Pressure is due to momentum transfer Speed Distribution
More information1. Thermodynamics 1.1. A macroscopic view of matter
1. Thermodynamics 1.1. A macroscopic view of matter Intensive: independent of the amount of substance, e.g. temperature,pressure. Extensive: depends on the amount of substance, e.g. internal energy, enthalpy.
More informationMolecular Modeling of Matter
Molecular Modeling of Matter Keith E. Gubbins Lecture 1: Introduction to Statistical Mechanics and Molecular Simulation Common Assumptions Can treat kinetic energy of molecular motion and potential energy
More informationMonte Carlo Methods. Ensembles (Chapter 5) Biased Sampling (Chapter 14) Practical Aspects
Monte Carlo Methods Ensembles (Chapter 5) Biased Sampling (Chapter 14) Practical Aspects Lecture 1 2 Lecture 1&2 3 Lecture 1&3 4 Different Ensembles Ensemble ame Constant (Imposed) VT Canonical,V,T P PT
More informationMicro-canonical ensemble model of particles obeying Bose-Einstein and Fermi-Dirac statistics
Indian Journal o Pure & Applied Physics Vol. 4, October 004, pp. 749-757 Micro-canonical ensemble model o particles obeying Bose-Einstein and Fermi-Dirac statistics Y K Ayodo, K M Khanna & T W Sakwa Department
More information5.62 Physical Chemistry II Spring 2008
MIT OpenCourseWare http://ocw.mit.edu 5.6 Physical Chemistry II Spring 008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 5.6 Lecture #13: Nuclear Spin
More informationIdeal Gas Behavior. NC State University
Chemistry 331 Lecture 6 Ideal Gas Behavior NC State University Macroscopic variables P, T Pressure is a force per unit area (P= F/A) The force arises from the change in momentum as particles hit an object
More informationEngineering Physics 1 Dr. B. K. Patra Department of Physics Indian Institute of Technology-Roorkee
Engineering Physics 1 Dr. B. K. Patra Department of Physics Indian Institute of Technology-Roorkee Module-05 Lecture-02 Kinetic Theory of Gases - Part 02 (Refer Slide Time: 00:32) So, after doing the angular
More informationPhysics 4230 Final Exam, Spring 2004 M.Dubson This is a 2.5 hour exam. Budget your time appropriately. Good luck!
1 Physics 4230 Final Exam, Spring 2004 M.Dubson This is a 2.5 hour exam. Budget your time appropriately. Good luck! For all problems, show your reasoning clearly. In general, there will be little or no
More informationUnit 05 Kinetic Theory of Gases
Unit 05 Kinetic Theory of Gases Unit Concepts: A) A bit more about temperature B) Ideal Gas Law C) Molar specific heats D) Using them all Unit 05 Kinetic Theory, Slide 1 Temperature and Velocity Recall:
More informationChapter 4: Going from microcanonical to canonical ensemble, from energy to temperature.
Chapter 4: Going from microcanonical to canonical ensemble, from energy to temperature. All calculations in statistical mechanics can be done in the microcanonical ensemble, where all copies of the system
More informationMolecular Interactions F14NMI. Lecture 4: worked answers to practice questions
Molecular Interactions F14NMI Lecture 4: worked answers to practice questions http://comp.chem.nottingham.ac.uk/teaching/f14nmi jonathan.hirst@nottingham.ac.uk (1) (a) Describe the Monte Carlo algorithm
More informationChE 210B: Advanced Topics in Equilibrium Statistical Mechanics
ChE 210B: Advanced Topics in Equilibrium Statistical Mechanics Glenn Fredrickson Lecture 1 Reading: 3.1-3.5 Chandler, Chapters 1 and 2 McQuarrie This course builds on the elementary concepts of statistical
More informationConcepts for Specific Heat
Concepts for Specific Heat Andreas Wacker 1 Mathematical Physics, Lund University August 17, 018 1 Introduction These notes shall briefly explain general results for the internal energy and the specific
More informationInternational Physics Course Entrance Examination Questions
International Physics Course Entrance Examination Questions (May 2010) Please answer the four questions from Problem 1 to Problem 4. You can use as many answer sheets you need. Your name, question numbers
More informationMinimum Bias Events at ATLAS
Camille Bélanger-Champagne Lehman McGill College University City University of ew York Thermodynamics Charged Particle and Correlations Statistical Mechanics in Minimum Bias Events at ATLAS Statistical
More information09 Intro to Mass Dependent Fractionation
09 Intro to Mass Dependent Fractionation Reading: White #26 Valley and Cole, Chapter 1 Guide Questions: 1) In a general sense why do heavier isotopes of an element behave differently from lighter isotopes?
More informationCHAPTER 21 THE KINETIC THEORY OF GASES-PART? Wen-Bin Jian ( 簡紋濱 ) Department of Electrophysics National Chiao Tung University
CHAPTER 1 THE KINETIC THEORY OF GASES-PART? Wen-Bin Jian ( 簡紋濱 ) Department of Electrophysics National Chiao Tung University 1. Molecular Model of an Ideal Gas. Molar Specific Heat of an Ideal Gas. Adiabatic
More informationThermodynamics and Kinetics
Thermodynamics and Kinetics C. Paolucci University of Notre Dame Department of Chemical & Biomolecular Engineering What is the energy we calculated? You used GAMESS to calculate the internal (ground state)
More informationIntroduction. Chapter The Purpose of Statistical Mechanics
Chapter 1 Introduction 1.1 The Purpose of Statistical Mechanics Statistical Mechanics is the mechanics developed to treat a collection of a large number of atoms or particles. Such a collection is, for
More informationFoundations of Chemical Kinetics. Lecture 17: Unimolecular reactions in the gas phase: Lindemann-Hinshelwood theory
Foundations of Chemical Kinetics Lecture 17: Unimolecular reactions in the gas phase: Lindemann-Hinshelwood theory Marc R. Roussel Department of Chemistry and Biochemistry The factorial The number n(n
More informationε tran ε tran = nrt = 2 3 N ε tran = 2 3 nn A ε tran nn A nr ε tran = 2 N A i.e. T = R ε tran = 2
F1 (a) Since the ideal gas equation of state is PV = nrt, we can equate the right-hand sides of both these equations (i.e. with PV = 2 3 N ε tran )and write: nrt = 2 3 N ε tran = 2 3 nn A ε tran i.e. T
More informationCh. 19: The Kinetic Theory of Gases
Ch. 19: The Kinetic Theory of Gases In this chapter we consider the physics of gases. If the atoms or molecules that make up a gas collide with the walls of their container, they exert a pressure p on
More informationStatistical Mechanics
Statistical Mechanics Newton's laws in principle tell us how anything works But in a system with many particles, the actual computations can become complicated. We will therefore be happy to get some 'average'
More informationUNIVERSITY OF SOUTHAMPTON
UNIVERSITY OF SOUTHAMPTON PHYS2024W1 SEMESTER 2 EXAMINATION 2011/12 Quantum Physics of Matter Duration: 120 MINS VERY IMPORTANT NOTE Section A answers MUST BE in a separate blue answer book. If any blue
More informationLecture 5: Diatomic gases (and others)
Lecture 5: Diatomic gases (and others) General rule for calculating Z in complex systems Aims: Deal with a quantised diatomic molecule: Translational degrees of freedom (last lecture); Rotation and Vibration.
More informationPhysics 408 Final Exam
Physics 408 Final Exam Name You are graded on your work, with partial credit where it is deserved. Please give clear, well-organized solutions. 1. Consider the coexistence curve separating two different
More informationThe non-interacting Bose gas
Chapter The non-interacting Bose gas Learning goals What is a Bose-Einstein condensate and why does it form? What determines the critical temperature and the condensate fraction? What changes for trapped
More informationMASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department Statistical Physics I Spring Term Solutions to Problem Set #10
MASSACHUSES INSIUE OF ECHNOLOGY Physics Department 8.044 Statistical Physics I Spring erm 203 Problem : wo Identical Particles Solutions to Problem Set #0 a) Fermions:,, 0 > ɛ 2 0 state, 0, > ɛ 3 0,, >
More informationFermi gas model. Introduction to Nuclear Science. Simon Fraser University Spring NUCS 342 February 2, 2011
Fermi gas model Introduction to Nuclear Science Simon Fraser University Spring 2011 NUCS 342 February 2, 2011 NUCS 342 (Lecture 9) February 2, 2011 1 / 34 Outline 1 Bosons and fermions NUCS 342 (Lecture
More informationMD Thermodynamics. Lecture 12 3/26/18. Harvard SEAS AP 275 Atomistic Modeling of Materials Boris Kozinsky
MD Thermodynamics Lecture 1 3/6/18 1 Molecular dynamics The force depends on positions only (not velocities) Total energy is conserved (micro canonical evolution) Newton s equations of motion (second order
More informationChapter 2: Equation of State
Introduction Chapter 2: Equation of State The Local Thermodynamic Equilibrium The Distribution Function Black Body Radiation Fermi-Dirac EoS The Complete Degenerate Gas Application to White Dwarfs Temperature
More information