Concept

Molecular dynamics

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CH-351: Molecular dynamics and Monte-Carlo simulation

Introduction to molecular dynamics and Monte-Carlo simulation methods.

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The two main topics covered by this course are classical molecular dynamics and the Monte Carlo method.

CH-452: Computational methods in molecular quantum mechanics

This course will discuss the main methods for the simulation of quantum time dependent properties for molecular systems. Basic notions of density functional theory will be covered. An introduction to

CH-420: Understanding advanced molecular simulation

This course introduces advanced molecular simulation techniques such as Monte Carlo and Molecular dynamics in different ensembles, free energy calculations, rare events, Configurational-bias Monte Car

BIO-692: Symmetry and Conservation in the Cell

This course shows students how the physical principles of conservation, symmetry, and locality influence the dynamics of living organisms at the molecular and cellular level. Computer simulations are

MSE-468: Atomistic and quantum simulations of materials

Theory and application of quantum simulations to model, understand, and predict the properties of real materials.

CH-453: Molecular quantum dynamics

The course covers several exact, approximate, and numerical methods to solve the time-dependent molecular Schrödinger equation, and applications including calculations of molecular electronic spectra.

MSE-600: Effects of radiation on materials

The purpose of this course is to provide the necessary background to understand the effects of irradiation on pure metals and on alloys used in the nuclear industry. The relation between the radiation

MSE-305: Introduction to atomic-scale modeling

This course provides an introduction to the modeling of matter at the atomic scale, using interactive Jupyter notebooks to see several of the core concepts of materials science in action.

BIO-315: Structural biology

The main focus of this course is on the molecular interactions defining the structure, dynamics and function of biological systems. The principal experimental and computational techniques used in stru