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Equilibrium Thermodynamics
Equilibrium Thermodynamics Instructor: - Clare Yu (e-mail [email protected], phone: 824-6216) - office hours: Wed from 2:30 pm to 3:30 pm in Rowland Hall 210E Textbooks: - primary: Herbert Callen “Thermodynamics and an Introduction to Thermostatistics” - secondary: Frederick Reif “Statistical and Thermal Physics” - secondary: Kittel and Kroemer “Thermal Physics” - secondary: Enrico Fermi “Thermodynamics” Grading: - weekly homework: 25% - discussion problems: 10% - midterm exam: 30% - final exam: 35% Equilibrium Thermodynamics Material Covered: Equilibrium thermodynamics, phase transitions, critical phenomena (~ 10 first chapters of Callen’s textbook) Homework: - Homework assignments posted on course website Exams: - One midterm, 80 minutes, Tuesday, May 8 - Final, 2 hours, Tuesday, June 12, 10:30 am - 12:20 pm - All exams are in this room 210M RH Course website is at http://eiffel.ps.uci.edu/cyu/p115B/class.html The Subject of Thermodynamics Thermodynamics describes average properties of macroscopic matter in equilibrium. - Macroscopic matter: large objects that consist of many atoms and molecules. - Average properties: properties (such as volume, pressure, temperature etc) that do not depend on the detailed positions and velocities of atoms and molecules of macroscopic matter. Such quantities are called thermodynamic coordinates, variables or parameters. - Equilibrium: state of a macroscopic system in which all average properties do not change with time. (System is not driven by external driving force.) Why Study Thermodynamics ? - Thermodynamics predicts that the average macroscopic properties of a system in equilibrium are not independent from each other. Therefore, if we measure a subset of these properties, we can calculate the rest of them using thermodynamic relations. - Thermodynamics not only gives the exact description of the state of equilibrium but also provides an approximate description (to a very high degree of precision!) of relatively slow processes. -
Chemistry Courses 2005-2006
Chemistry Courses 2005-2006 Autumn 2005 Chem 11101 General Chemistry I, Variant A Lee Chem 11102 General Chemistry I, Variant B Norris Chem 12200 Honors General Chemistry I Levy Chem 22000 Organic Chemistry I Yu Chem 22300 Intermediate Organic Chemistry Mrksich Chem 26100 Quantum Mechanics Mazziotti Chem 30100 Advanced Inorganic Chemistry Hopkins Chem 30900 Bioinorganic Chemistry He Chem 32100 Physical Organic Chemistry I Ismagilov Chem 32200 Organic Synthesis and Structure Rawal Chem 32600 Protein Fundamentals Piccirilli Chem 36100 Wave Mechanics & Spectroscopy Butler Chem 36400 Chemical Thermodynamics Dinner Winter 2006 Chem 11201 General Chemistry II, Variant A Scherer Chem 11202 General Chemistry II, Variant B Butler Chem 12300 Honors General Chemistry II Dinner Chem 20100 Inorganic Chemistry I Hillhouse Chem 22100 Organic Chemistry II Rawal Chem 23100 Honors Organic Chemistry II Kozmin Chem 26200 Thermodynamics Norris Chem 26700 Experimental Physical Chemistry Levy Chem 30200 Synthesis & Physical Methods in Inorganic Chemistry Jordan Chem 30400 Organometallic Chemistry Bosnich Chem 32300 Tactics of Organic Synthesis Yamamoto Chem 32400 Physical Organic Chemistry II Mrksich Chem 36200 Quantum Mechanics Freed Chem 36300 Statistical Mechanics Mazziotti Chem 38700 Biophysical Chemistry Lee Spring 2006 Chem 11301 General Chemistry III, Variant A Kozmin Chem 11302 General Chemistry III, Variant B Guyot-Sionnest Chem 20200 Inorganic Chemistry II Jordan Chem 22200 Organic Chemistry III Kent Chem 23200 Honors Organic Chemistry III Yamamoto Chem 22700 Advanced Organic / Inorganic Laboratory (8 students) He Chem 26300 Chemical Kinetics and Dynamics Sibner Chem 26800 Computational Chemistry & Biology Freed Chem 30600 Chemistry of the Elements Hillhouse Chem 31100 Supramolecular Chemistry Bosnich Chem 32500 Bioorganic Chemistry Piccirilli Chem 32900 Polymer Chemistry Yu Chem 33000 Complex Systems Ismagilov Chem 36500 Chemical Dynamics Scherer Chem 36800 Advanced Computational Chemistry & Biology Freed . -
Thermodynamic Machine Learning Through Maximum Work Production
arxiv.org:2006.15416 Thermodynamic Machine Learning through Maximum Work Production Alexander B. Boyd,1, 2, ∗ James P. Crutchfield,3, † and Mile Gu1, 2, 4, ‡ 1Complexity Institute, Nanyang Technological University, Singapore 2School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 3Complexity Sciences Center and Physics Department, University of California at Davis, One Shields Avenue, Davis, CA 95616 4Centre for Quantum Technologies, National University of Singapore, Singapore (Dated: April 4, 2021) Adaptive systems—such as a biological organism gaining survival advantage, an autonomous robot executing a functional task, or a motor protein transporting intracellular nutrients—must model the regularities and stochasticity in their environments to take full advantage of thermodynamic resources. Analogously, but in a purely computational realm, machine learning algorithms estimate models to capture predictable structure and identify irrelevant noise in training data. This happens through optimization of performance metrics, such as model likelihood. If physically implemented, is there a sense in which computational models estimated through machine learning are physically preferred? We introduce the thermodynamic principle that work production is the most relevant performance metric for an adaptive physical agent and compare the results to the maximum-likelihood principle that guides machine learning. Within the class of physical agents that most efficiently harvest energy from their environment, we demonstrate that an efficient agent’s model explicitly determines its architecture and how much useful work it harvests from the environment. We then show that selecting the maximum-work agent for given environmental data corresponds to finding the maximum-likelihood model. This establishes an equivalence between nonequilibrium thermodynamics and dynamic learning. -
Entropy and Life
Entropy and life Research concerning the relationship between the thermodynamics textbook, states, after speaking about thermodynamic quantity entropy and the evolution of the laws of the physical world, that “there are none that life began around the turn of the 20th century. In 1910, are established on a firmer basis than the two general American historian Henry Adams printed and distributed propositions of Joule and Carnot; which constitute the to university libraries and history professors the small vol- fundamental laws of our subject.” McCulloch then goes ume A Letter to American Teachers of History proposing on to show that these two laws may be combined in a sin- a theory of history based on the second law of thermo- gle expression as follows: dynamics and on the principle of entropy.[1][2] The 1944 book What is Life? by Nobel-laureate physicist Erwin Schrödinger stimulated research in the field. In his book, Z dQ Schrödinger originally stated that life feeds on negative S = entropy, or negentropy as it is sometimes called, but in a τ later edition corrected himself in response to complaints and stated the true source is free energy. More recent where work has restricted the discussion to Gibbs free energy because biological processes on Earth normally occur at S = entropy a constant temperature and pressure, such as in the atmo- dQ = a differential amount of heat sphere or at the bottom of an ocean, but not across both passed into a thermodynamic sys- over short periods of time for individual organisms. tem τ = absolute temperature 1 Origin McCulloch then declares that the applications of these two laws, i.e. -
The Conceptual Structure of Physics
AFOSR 2577 THE CONCEPTUAL STRUCTURE OF PHYSICS LASZLO TISZA TECHNICAL REPORT 409 FEBRUARY 1, 1963 MASSACHUSETTS INSTITUTE OF TECHNOLOGY RESEARCH LABORATORY OF ELECTRONICS CAMBRIDGE, MASSACHUSETTS ------- --l-rrjrmui^ll-^mPlii'tBoX1IXIII1"· ···'(-· The Research Laboratory of Electronics is an interdepart- mental laboratory in which faculty members and graduate stu- dents from numerous academic departments conduct research. The research reported in this document was made possible in part by support extended the Massachusetts Institute of Tech- nology, Research Laboratory of Electronics, jointly by the U.S. Army (Signal Corps), the U.S. Navy (Office of Naval Research), and the U.S. Air Force (Office of Scientific Research) under Signal Corps Contract DA36-039-sc-78108, Department of the Army Task 3-99-20-001 and Project 3-99-00-000; and in part by Signal Corps Contract DA-SIG-36-039-61-G14; and was performed under U. S. Air Force (Office of Scientific Research) Contract AF49(638)-95. Reproduction in whole or in part is permitted for any purpose of the United States Government. I _ _ _ Printed in U. S. A. REVIEWS OF MODERN PHYSICS VOLUME 35, NUMBER 1 JANUARY 1963 The Conceptual Structure of Physics* LASZLO TISZA Department of Physics and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts pedic character and is far beyond the grasp of an individual. On the other hand, the classical method Introduction . 151 of organization according to logical structure exhibits I. Dynamics of a single deductive system ...... 155 II. Intersystem dynamics . .... .... .. .. 158 the simplifying and unifying power of high-level III. -
An Introduction to Statistical Mechanics and Thermodynamics This Page Intentionally Left Blank an Introduction to Statistical Mechanics and Thermodynamics
An Introduction to Statistical Mechanics and Thermodynamics This page intentionally left blank An Introduction to Statistical Mechanics and Thermodynamics Robert H. Swendsen 1 3 Great Clarendon Street, Oxford ox2 6dp Oxford University Press is a department of the University of Oxford. It furthers the University’s objective of excellence in research, scholarship, and education by publishing worldwide in Oxford New York Auckland Cape Town Dar es Salaam Hong Kong Karachi Kuala Lumpur Madrid Melbourne Mexico City Nairobi New Delhi Shanghai Taipei Toronto With offices in Argentina Austria Brazil Chile Czech Republic France Greece Guatemala Hungary Italy Japan Poland Portugal Singapore South Korea Switzerland Thailand Turkey Ukraine Vietnam Oxford is a registered trade mark of Oxford University Press in the UK and in certain other countries Published in the United States by Oxford University Press Inc., New York c Robert H. Swendsen 2012 The moral rights of the author have been asserted Database right Oxford University Press (maker) First published 2012 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, without the prior permission in writing of Oxford University Press, or as expressly permitted by law, or under terms agreed with the appropriate reprographics rights organization. Enquiries concerning reproduction outside the scope of the above should be sent to the Rights Department, Oxford University Press, at the address above You must not circulate this book in any other binding or cover and you must impose the same condition on any acquirer British Library Cataloguing in Publication Data Data available Library of Congress Cataloging in Publication Data Library of Congress Control Number: 2011945381 Typeset by SPI Publisher Services, Pondicherry, India Printed and bound by CPI Group (UK) Ltd, Croydon, CR0 4YY ISBN 978–0–19–964694–4 13579108642 To the memory of Herbert B. -
Chemical Thermodynamics and Staged Unit Operations
Beginning of Course Memorandum (BOCM) University of Virginia Fall, 2013 CHE 3316 Chemical Thermodynamics and Staged Unit Operations Revised October 22 Instructor: John O'Connell: Office Chemical Engineering 310; Voice (434) 924-3428; E-mail: [email protected] Office Hours: TR1400-1730, Others TBA GTA: Sabra Hanspal: Office CHE 217A; Voice 4-1476; E-mail: [email protected]; Office Hours: MF 12-2 PM Class Meetings: CHE 005, TR 0930-1045, T 1300-1350 Texts: "Lectures in Thermodynamics, Volume 2 (Beta Version)", by J.M. Haile & J.P. O'Connell, 2008 - 12, Electronic copy on CD available from instructor for $15. Total 641 pages. "Separation Process Engineering, 3rd Ed.", by P.C. Wankat, Prentice Hall, 2012. References: “Physical and Chemical Equilibrium for Chemical Engineers, 2nd Ed.” by N. de Nevers, Wiley-Interscience, New York, 2012. "Introduction to Chemical Engineering Thermodynamics, 7th Ed.," by J.M. Smith, H.C. Van Ness, and M.M. Abbott (SVNA). McGraw-Hill, New York, 2005. "Chemical, Biochemical, & Engineering Thermodynamics, 4th Ed.," by S.I. Sandler, John Wiley, 2006. "Schaum's Outline of Thermodynamics with Chemical Applications, 2nd Ed.," by H.C. Van Ness & M.M.Abbott, Schaum's Outlines, McGraw-Hill, 1989. "Lectures in Thermodynamics, Volume 1," by J.M. Haile, Macatea Productions, 2002. “Unit Operations of Chemical Engineering, 7th Ed.”, W. McCabe, J. Smith, & P. Harriott, New York, McGraw-Hill, 2004. “Principles of Chemical Separations with Environmental Applications,” R.D. Noble & P.A. Terry, Cambridge, UK, Cambridge University Press, 2004. “Perry’s Chemical Engineers’ Handbook, 8th Ed.,” D. Green & R. Perry, New York, McGraw-Hill, 2007. -
Thermodynamics and Phase Diagrams
Thermodynamics and Phase Diagrams Arthur D. Pelton Centre de Recherche en Calcul Thermodynamique (CRCT) École Polytechnique de Montréal C.P. 6079, succursale Centre-ville Montréal QC Canada H3C 3A7 Tél : 1-514-340-4711 (ext. 4531) Fax : 1-514-340-5840 E-mail : [email protected] (revised Aug. 10, 2011) 2 1 Introduction An understanding of phase diagrams is fundamental and essential to the study of materials science, and an understanding of thermodynamics is fundamental to an understanding of phase diagrams. A knowledge of the equilibrium state of a system under a given set of conditions is the starting point in the description of many phenomena and processes. A phase diagram is a graphical representation of the values of the thermodynamic variables when equilibrium is established among the phases of a system. Materials scientists are most familiar with phase diagrams which involve temperature, T, and composition as variables. Examples are T-composition phase diagrams for binary systems such as Fig. 1 for the Fe-Mo system, isothermal phase diagram sections of ternary systems such as Fig. 2 for the Zn-Mg-Al system, and isoplethal (constant composition) sections of ternary and higher-order systems such as Fig. 3a and Fig. 4. However, many useful phase diagrams can be drawn which involve variables other than T and composition. The diagram in Fig. 5 shows the phases present at equilibrium o in the Fe-Ni-O2 system at 1200 C as the equilibrium oxygen partial pressure (i.e. chemical potential) is varied. The x-axis of this diagram is the overall molar metal ratio in the system. -
Chapter 19 Chemical Thermodynamics
Chapter 19 Chemical Thermodynamics Entropy and free energy Learning goals and key skills: Explain and apply the terms spontaneous process, reversible process, irreversible process, and isothermal process. Define entropy and state the second law of thermodynamics. Calculate DS for a phase change. Explain how the entropy of a system is related to the number of possible microstates. Describe the kinds of molecular motion that a molecule can possess. Predict the sign of DS for physical and chemical processes. State the third law of thermodynamics. Compare the values of standard molar entropies. Calculate standard entropy changes for a system from standard molar entropies. Calculate the Gibbs free energy from the enthalpy change and entropy change at a given temperature. Use free energy changes to predict whether reactions are spontaneous. Calculate standard free energy changes using standard free energies of formation. Predict the effect of temperature on spontaneity given DH and DS. Calculate DG under nonstandard conditions. Relate DG°and equilibrium constant (K). Review Chapter 5: energy, enthalpy, 1st law of thermo Thermodynamics: the science of heat and work Thermochemistry: the relationship between chemical reactions and energy changes Energy (E) The capacity to do work or to transfer heat. Work (w) The energy expended to move an object against an opposing force. w = F d Heat (q) Derived from the movements of atoms and molecules (including vibrations and rotations). Enthalpy (H) Enthalpy is the heat absorbed (or released) by a system during a constant-pressure process. 1 0th Law of Thermodynamics If A is in thermal equilibrium with B, and B is in thermal equilibrium with C, then C is also in thermal equilibrium with A. -
Comparative Examination of Nonequilibrium Thermodynamic Models of Thermodiffusion in Liquids †
Proceedings Comparative Examination of Nonequilibrium Thermodynamic Models of Thermodiffusion in Liquids † Semen N. Semenov 1,* and Martin E. Schimpf 2 1 Institute of Biochemical Physics RAS, Moscow 119334, Russia 2 Department of Chemistry, Boise State University, Boise, ID 83725, USA; [email protected] * Correspondence: [email protected] † Presented at the 5th International Electronic Conference on Entropy and Its Applications, 18–30 November 2019; Available online: https://ecea-5.sciforum.net/. Published: 17 November 2019 Abstract: We analyze existing models for material transport in non-isothermal non-electrolyte liquid mixtures that utilize non-equilibrium thermodynamics. Many different sets of equations for material have been derived that, while based on the same fundamental expression of entropy production, utilize different terms of the temperature- and concentration-induced gradients in the chemical potential to express the material flux. We reason that only by establishing a system of transport equations that satisfies the following three requirements can we obtain a valid thermodynamic model of thermodiffusion based on entropy production, and understand the underlying physical mechanism: (1) Maintenance of mechanical equilibrium in a closed steady-state system, expressed by a form of the Gibbs–Duhem equation that accounts for all the relevant gradients in concentration, temperature, and pressure and respective thermodynamic forces; (2) thermodiffusion (thermophoresis) is zero in pure unbounded liquids (i.e., in the absence of wall effects); (3) invariance in the derived concentrations of components in a mixture, regardless of which concentration or material flux is considered to be the dependent versus independent variable in an overdetermined system of material transport equations. The analysis shows that thermodiffusion in liquids is based on the entropic mechanism. -
Thermodynamic Temperature
Thermodynamic temperature Thermodynamic temperature is the absolute measure 1 Overview of temperature and is one of the principal parameters of thermodynamics. Temperature is a measure of the random submicroscopic Thermodynamic temperature is defined by the third law motions and vibrations of the particle constituents of of thermodynamics in which the theoretically lowest tem- matter. These motions comprise the internal energy of perature is the null or zero point. At this point, absolute a substance. More specifically, the thermodynamic tem- zero, the particle constituents of matter have minimal perature of any bulk quantity of matter is the measure motion and can become no colder.[1][2] In the quantum- of the average kinetic energy per classical (i.e., non- mechanical description, matter at absolute zero is in its quantum) degree of freedom of its constituent particles. ground state, which is its state of lowest energy. Thermo- “Translational motions” are almost always in the classical dynamic temperature is often also called absolute tem- regime. Translational motions are ordinary, whole-body perature, for two reasons: one, proposed by Kelvin, that movements in three-dimensional space in which particles it does not depend on the properties of a particular mate- move about and exchange energy in collisions. Figure 1 rial; two that it refers to an absolute zero according to the below shows translational motion in gases; Figure 4 be- properties of the ideal gas. low shows translational motion in solids. Thermodynamic temperature’s null point, absolute zero, is the temperature The International System of Units specifies a particular at which the particle constituents of matter are as close as scale for thermodynamic temperature. -
Ana María Cetto Andrea Valdés Hernández the Physics Behind
Luis de la Peña · Ana María Cetto Andrea Valdés Hernández The Emerging Quantum The Physics Behind Quantum Mechanics The Emerging Quantum Luis de la Peña • Ana María Cetto Andrea Valdés Hernández The Emerging Quantum The Physics Behind Quantum Mechanics 123 Luis de la Peña Andrea Valdés Hernández Instituto de Física Instituto de Física Universidad Nacional Autónoma Universidad Nacional Autónoma de México de México Mexico, D.F. Mexico, D.F. Mexico Mexico Ana María Cetto Instituto de Física Universidad Nacional Autónoma de México Mexico, D.F. Mexico ISBN 978-3-319-07892-2 ISBN 978-3-319-07893-9 (eBook) DOI 10.1007/978-3-319-07893-9 Springer Cham Heidelberg New York Dordrecht London Library of Congress Control Number: 2014941916 Ó Springer International Publishing Switzerland 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer.