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Introduction to Monte Carlo Simulation Methods for Chemistry and Physics

Fundamentals, Advanced Techniques, and Practical Applications

  • 1st Edition - June 1, 2027
  • Latest edition
  • Authors: Alberto Gustavo Albesa, Carlos Wexler
  • Language: English

Introduction to Monte Carlo Simulation Methods for Chemistry and Physics explains how stochastic sampling connects molecular models with observable properties. It develops the ph… Read more

Description

Introduction to Monte Carlo Simulation Methods for Chemistry and Physics explains how stochastic sampling connects molecular models with observable properties. It develops the physical and mathematical ideas behind Monte Carlo methods and shows how they guide the implementation and interpretation of simulations.

The treatment progresses from basic sampling to reactive, kinetic, nonequilibrium, and quantum Monte Carlo methods. Applications to chemical equilibrium, adsorption, surface processes, and phase behaviour show how these approaches address problems in chemistry, physics, and materials science. Computational examples connect the governing equations with algorithms and the physical interpretation of results.

Written for senior undergraduate and graduate students in chemistry and physics, the book also supports researchers in chemical engineering and materials science who need a clear introduction to molecular simulation.

Key features

  • Connects statistical mechanics and the mathematics of sampling with the implementation of Monte Carlo simulations
  • Develops applications to acid-base equilibrium, adsorption, surface processes, and phase behaviour
  • Introduces reactive, kinetic, nonequilibrium, and quantum Monte Carlo methods within a common conceptual framework
  • Supports the interpretation of simulation results through physical models and practical computational examples

Readership

Senior undergraduate and graduate level students in physics, physical and theoretical chemistry and chemical physics, as well as chemical engineering, and materials science

Table of contents

1. Advances in Thermodynamics and Monte Carlo Simulations

2. Advanced Techniques in Monte Carlo Simulations

3. Basic Monte Carlo

4. Models of Systems and Potential Interactions

5. Periodic Boundary Conditions in Monte Carlo Simulations

6. Long-ranged Interactions in Monte Carlo Simulations

7. Monte Carlo Simulations Applied to Polymer Study

8. Phase Equilibrium

9. Acid-Base Equilibrium

10. Kinetic Monte Carlo

11. Reactive Monte Carlo

12. Surface Processes

13. Nonequilibrium Monte Carlo Methods

14. Quantum Monte Carlo

15. Software Packages for Monte Carlo Simulations

Product details

  • Edition: 1
  • Latest edition
  • Published: June 1, 2027
  • Language: English

About the authors

Alberto Gustavo Albesa

Author

Alberto Gustavo Albesa is an Independent Researcher at the National Scientific and Technical Research Council (CONICET), Argentina, based at the Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas (INIFTA, CONICET–Universidad Nacional de La Plata). He is also a Professor of Chemistry at the Universidad Nacional de La Plata (UNLP). He received his degree in Chemical Sciences in 2006 and his PhD in Chemistry in 2011 from UNLP, where his doctoral research focused on gas adsorption on carbon nanostructures. His research combines statistical mechanics, molecular modelling, and computational simulation, with particular emphasis on Monte Carlo methods. His work encompasses adsorption and separation in carbonaceous and nanoporous materials, metal–organic frameworks, molecular and ionic transport in functionalized nanopores, and stimuli-responsive polymers and nanogels. He has authored and co-authored numerous peer-reviewed scientific publications, led nationally funded research projects, and supervised undergraduate, doctoral, and postdoctoral researchers. His research has also involved international collaborations with academic institutions in Europe and the United States. Alongside his scientific work, he has extensive experience in university teaching, scientific outreach, and the development of educational resources connecting mathematics, physical chemistry, and computational methods.

Affiliations and expertise
Independent Researcher, CONICET; Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas (INIFTA), CONICET–Universidad Nacional de La Plata (UNLP); Professor of Chemistry, Universidad Nacional de La Plata (UNLP), La Plata, Argentina

Carlos Wexler

Author

Carlos Wexler is Professor and Chair of the Department of Physics and Astronomy at the University of Missouri, USA and Co-Director of its Materials Science and Engineering Institute. He holds a PhD in physics from the University of Washington, working under the supervision of David Thouless (2016 Nobel in Physics). His research combines theoretical modelling and computer simulations to study materials structure and function, adsorption, porous materials, and phase transitions. He also develops undergraduate and graduate teaching in physics and statistical thermodynamics. He has co-authored over 90 publications. He has been a faculty member at the University of Missouri for over 27 years, and as a visiting Professor at the Universities of Tokyo (Japan), Aix-Marseille (France), Federal do Ceará (Brazil), Nacional de San Luis and Nacional de La Plata (Argentina), and Wroclaw University of Science and Technology (Poland). He is a Fulbright and Erasmus-Mundus Fellow. His research has been funded by the National Science Foundation, the Departments of Energy and Defense, the California Energy Commission, and the American Chemical Society Petroleum Research Fund.

Affiliations and expertise
Professor and Chair, Department of Physics and Astronomy, University of Missouri; Co-Director, Materials Science and Engineering Institute, University of Missouri, USA