Roland Riek: Catalogue data in Autumn Semester 2021 |
Name | Prof. Dr. Roland Riek |
Field | Physical Chemistry |
Address | Inst. Mol. Phys. Wiss. ETH Zürich, HCI F 225 Vladimir-Prelog-Weg 1-5/10 8093 Zürich SWITZERLAND |
Telephone | +41 44 632 61 39 |
roland.riek@phys.chem.ethz.ch | |
Department | Chemistry and Applied Biosciences |
Relationship | Full Professor |
Number | Title | ECTS | Hours | Lecturers | ||||||||||||||||||||
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529-0433-01L | Advanced Physical Chemistry: Statistical Thermodynamics | 6 credits | 3G | R. Riek, J. Richardson | ||||||||||||||||||||
Abstract | Introduction to statistical mechanics and thermodynamics. Prediction of thermodynamic and kinetic properties from molecular data. | |||||||||||||||||||||||
Learning objective | Introduction to statistical mechanics and thermodynamics. Prediction of thermodynamic and kinetic properties from molecular data. | |||||||||||||||||||||||
Content | Basics of statistical mechanics and thermodynamics of classical and quantum systems. Concept of ensembles, microcanonical and canonical ensembles, ergodic theorem. Molecular and canonical partition functions and their connection with classical thermodynamics. Quantum statistics. Translational, rotational, vibrational, electronic and nuclear spin partition functions of gases. Determination of the equilibrium constants and (transition-state theory) rates of gas phase reactions. Description of ideal gases and ideal crystals. Lattice models, mixing entropy of polymers, and entropic elasticity. | |||||||||||||||||||||||
Lecture notes | See homepage of the lecture. | |||||||||||||||||||||||
Literature | See homepage of the lecture. | |||||||||||||||||||||||
Prerequisites / Notice | Chemical Thermodynamics, Reaction Kinetics, Molecular Quantum Mechanics and Spectroscopy; Mathematical Foundations (Analysis, Combinatorial Relations, Integral and Differential Calculus) | |||||||||||||||||||||||
Competencies |
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529-0499-00L | Physical Chemistry | 1 credit | 1K | M. Reiher, A. Barnes, G. Jeschke, B. H. Meier, F. Merkt, J. Richardson, R. Riek, S. Riniker, T. Schmidt, R. Signorell, H. J. Wörner | ||||||||||||||||||||
Abstract | Institute-Seminar covering current research Topics in Physical Chemistry | |||||||||||||||||||||||
Learning objective | ||||||||||||||||||||||||
529-1023-00L | Physical Chemistry I (for Biology and Pharmacy) Only for - Biologie BSc (Programme Regulations 2013) and - Pharmaceutical Sciences BSc (Programme Regulations 2013) This course is offered for the last time in autumn 2021. | 3 credits | 2V + 1U | R. Riek | ||||||||||||||||||||
Abstract | The laws of thermodynamics: empirical temperature, energy, entropy. Models and standard states: ideal gases, ideal solutions and mixtures, activity, standard thermodynamic values. Reaction thermodynamics: chemical potential, thermodynamic parameters of reactions, equilibrium conditions and their temperature and pressure dependence, biochemical reactions, surface effects, colligative properties. | |||||||||||||||||||||||
Learning objective | Understanding the fundamental thermodynamic properties of chemical and biological systems. | |||||||||||||||||||||||
Content | The laws of thermodynamics: empirical temperature, energy, entropy. Models and standard states: ideal gases, ideal solutions and mixtures, activity, standard thermodynamic values. Reaction thermodynamics: chemical potential, thermodynamic parameters of reactions, equilibrium conditions and their temperature and pressure dependence, biochemical reactions, surface effects, colligative properties. | |||||||||||||||||||||||
Lecture notes | in process, will be distributed at the beginning of the first lecture | |||||||||||||||||||||||
Literature | 1) Atkins, P.W., 1999, Physical Chemistry, Oxford University Press, 6th ed., 1999. 2) Moore, W.J., 1990: Grundlagen der physikalischen Chemie, W. de Gruyter, Berlin. 3) Adam, G., Läuger, P., Stark, G., 1988: Physikalische Chemie und Biophysik, 2. Aufl., Springer Verlag, Berlin. | |||||||||||||||||||||||
Prerequisites / Notice | Prerequisite: mathematics I+II, functions of multiple variables, partial derivatives. In particular: There are learning tasks used as performance assessments. |