Lecture

Rate Constant Analysis: Lindemann-Christiansen Theory

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In course

CH-310: Dynamics and kinetics

The course covers the principles of chemical kinetics, including differential rate laws, derivation of exact and approximate integral rate laws for common elementary and composite reactions, fundamentals of collision and transition state theories, and appl ...

Description

This lecture discusses the analysis of rate constants using the Lindemann-Christiansen theory, comparing them with collision theory and estimating them with the Hinshelwood theory. The lecture covers the isomerization of ci-but-2-ene into transbut-2-ene, examining experimental data and theoretical predictions. It also explores the energization step, collision diameters, and threshold energies for isomerization. Additionally, it delves into the water dimer's dissociation process in the gas phase, including vibrational states, photon absorption, and dissociation energies. The RRK theory is applied to estimate the lifetime of the water dimer after laser excitation.

Instructor

Ulrich Lorenz

Teaching & PhD PhD Students Jakub Hruby Past EPFL PhD Students Pavel Olshin, Gabriele Bongiovanni, Chengcheng Yan, Oliver Florian Harder, Mowry Nathan Junior, Constantin Richard Krüger

Official source

Related concepts (32)

Lindemann mechanism

In chemical kinetics, the Lindemann mechanism (also called the Lindemann–Christiansen mechanism or the Lindemann–Hinshelwood mechanism) is a schematic reaction mechanism for unimolecular reactions. Frederick Lindemann and J. A. Christiansen proposed the concept almost simultaneously in 1921, and Cyril Hinshelwood developed it to take into account the energy distributed among vibrational degrees of freedom for some reaction steps. It breaks down an apparently unimolecular reaction into two elementary steps, with a rate constant for each elementary step.

Type system

In computer programming, a type system is a logical system comprising a set of rules that assigns a property called a type (for example, integer, floating point, string) to every "term" (a word, phrase, or other set of symbols). Usually the terms are various constructs of a computer program, such as variables, expressions, functions, or modules. A type system dictates the operations that can be performed on a term. For variables, the type system determines the allowed values of that term.

Data type

In computer science and computer programming, a data type (or simply type) is a collection or grouping of data values, usually specified by a set of possible values, a set of allowed operations on these values, and/or a representation of these values as machine types. A data type specification in a program constrains the possible values that an expression, such as a variable or a function call, might take. On literal data, it tells the compiler or interpreter how the programmer intends to use the data.

Type safety

In computer science, type safety and type soundness are the extent to which a programming language discourages or prevents type errors. Type safety is sometimes alternatively considered to be a property of facilities of a computer language; that is, some facilities are type-safe and their usage will not result in type errors, while other facilities in the same language may be type-unsafe and a program using them may encounter type errors.

Type conversion

In computer science, type conversion, type casting, type coercion, and type juggling are different ways of changing an expression from one data type to another. An example would be the conversion of an integer value into a floating point value or its textual representation as a string, and vice versa. Type conversions can take advantage of certain features of type hierarchies or data representations.

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