Diffusion Under Confinement

Dr. Leonardo Dagdug is a full professor in the Department of Physics at the Metropolitan Autonomous University (UAM) in Mexico City, Mexico, where he teaches and researches in the fields of statistical physics, diffusion in confined systems, biophysics,  diffusion with stochastic resetting, virus growth and Form, for about 30 years. He obtained his Ph.D. in physics from UAM in 1999 after which he conducted his postdoctoral research at the National Institute of Health. He is associate editor of the Journals Frontiers in Physics, Frontiers in Physiology, and Frontiers in Molecular Biosciences. In 2021, he was elected to membership in the Mexican National Academy of Sciences. He is a recipient of the Excellence in Educational Practice award, by the Universidad Simón Bolívar, México. Professor Dagdug currently serves as an invited scientist at the National Institute of Health in the Section of Molecular Transport. 
Jason Peña received his B.Sc. and M.Sc. degrees in Physics from the Metropolitan Autonomous University (UAM) in Mexico City, where he currently serves as an Assistant Professor in the Physics Department. While an important part of his research centers on the study of diffusion, trapping and absorption processes, and their chemical and biological applications, he is also actively engaged in theoretical biophysics and physical virology. Notably, beyond his scientific pursuits, he finds a keen interest in the realms of structural biology and statistical mechanics. 
Ivan Pompa-García received his B.Sc. and M.Sc. degrees in Physics from the Metropolitan Autonomous University (UAM) in Mexico City, Mexico, where he also served as Assistant Professor. His research focuses on confined diffusion systems, which includes theory and simulations. The computational approach is backed up with his more than 15 years of experience as an IT professional. As a current Ph.D. candidate, his interests also include Molecular Dynamics, Brownian Dynamics Simulations, Computational Physics and Stochastic Processes.

Chapter 1: History of Brownian Motion in a Nutshell.- Chapter 2: The Random Elevator Game.- Chapter 3: Solution of the Diffusion Equation in Free Space.- Chapter 4: Solution of the Diffusion Equation in Free Space.- Chapter 5: Diffusion Between Two Targets.- Chapter 6: Diffusion in the Presence of a Force Field.- Chapter 7: Trapping Particles Influenced by External Forces.- Chapter 8: Splitting and Breaking Brownian Pathways: Conditional Processes.- Chapter 9: Diffusion With Stochastic Resetting.- Chapter 10: Diffusion With Stochastic Resetting.- Chapter 11: Diffusion With Stochastic Resetting.- Chapter 12: Two-Dimensional Systems.- Chapter 13: Reaction-Diffusion Equations.- Chapter 14: Three-dimensional Systems.- Chapter 15: Trapping Rate Coefficient.- Chapter 16: Trapping Rate Coefficient.- Chapter 17: Fick-Jacobs 1D Reduction.- Chapter 18: Zwanzig 1D Reduction.- Chapter 19: Reguera and Rubi Kinetic Equation.- Chapter 20: Kalinay and Percus Projection Method.- Chapter 21: External Transverse Field: 2D Narrow Channel.- Chapter 22: Periodical Systems.- Chapter 23: Active Brownian Particles.- Chapter 24: Diffusion in Narrow Channels Embedded on Curved Manifolds.- Chapter 25: Representation of a Channel as a Tubular Manifold: Frenet-Serret Moving Frame.