## Welcome!

Welcome to Statistical and Thermal Physics, a collection of information and resources for teachers of Statistical and Thermal Physics. The resources in this collection are supplements to standard Statistical and Thermal Physics textbooks and include student activities, background information, and applications. New users may create an account to personalize their use of the Statistical and Thermal Physics web site. This will allow them to suggest resources, add comments, and organize resources.

## STP Materials

**The elusive chemical potential**

This article provides three "meanings" for the chemical potential and gives two applications to illustrate the chemical potential in action.

**Teaching Statistical Physics by Thinking about Models and Algorithms**

This article discusses several ways of illustrating fundamental concepts in statistical and thermal physics by considering various models and algorithms. It emphasizes the importance of replacing students' incomplete mental images by models that are physically accurate.

**STP Ising 1D Program**

The STP 1D Ising program is a Monte Carlo simulation of a one-dimensional Ising model in equilibrium with a heat bath at temperature T using the Metropolis algorithm.

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## Statistical and Thermal Physics

Text, simulation and other resources for Statistical and Thermal Physics by H. Gould and J. Tobochnik.

**Chapter 1:**From Microscopic to Macroscopic Behavior**Chapter 2:**Thermodynamic Concepts and Processes**Chapter 3:**Concepts of Probability**Chapter 4:**The Methodology of Statistical Mechanics**Chapter 5:**Magnetic Systems**Chapter 6:**Many-Particle Systems**Chapter 7:**Chemical Potential and Phase Equilibria**Chapter 8:**Classical Gases and Liquids**Chapter 9:**Landau Theory and the Renormalization Group

## Featured Simulation

**Molecular Dynamics Demonstration Model**

This model is constructed using the Lennard-Jones potential truncated at a distance of 3 molecular diameters. It was created using the Easy Java Simulations (Ejs) modeling tool which allows to you to easily examine or modify the simulation if Ejs is installed.

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The Statistical and Thermal Physics Project is supported by NSF DUE-0442581.