Glenn H. Fredrickson is a soft matter theorist recognized for his work on self-assembling polymers, especially block copolymers. He pioneered the “field-theoretic simulation” technique that has been widely deployed to assess the structure and phase behavior of complex, multiphase polymer systems. Fredrickson was born in Washington, D.C., and grew up in Indialantic, Florida. He graduated from the University of Florida with a B.S. degree in chemical engineering and received M.S. and Ph.D. degrees in the same discipline from Stanford University. In 1984, he joined AT&T Bell Laboratories as a Member of Technical Staff, and moved to the University of California, Santa Barbara (UCSB) in 1990 as a Professor of Chemical Engineering and Materials. Fredrickson is currently a Distinguished Professor at UCSB. He is a member of the National Academy of Sciences and the National Academy of Engineering of the USA.Kris T. Delaney is a condensed matter physicist with expertise in polymer physics, quantum many-body theory, magnetism, numerical analysis, and high-performance computing. Delaney was born in Warrington, United Kingdom, and received his M.Phys. and Ph.D. degrees in theoretical physics and physics, respectively, from the University of York. Following postdoctoral work in physics at the University of Illinois at Urbana-Champaign, he joined the Materials Research Laboratory at the University of California, Santa Barbara, in 2006, where he is currently a Project Scientist.

Field-Theoretic Simulations in Soft Matter and Quantum Fluids is a wonderful text that gives clear guidance for how to develop field theoretic models, including many recent developments, as well as best practices for implementing the most common algorithms. It is an indispensable guide for those working in the field.

• 1: Introduction 2: Classical Equilibrium Theory: Particles to Fields 3: Quantum Equilibrium Theory: Particles to Fields 4: Numerical Methods for Field Operations 5: Numerical Methods for Field-Theoretic Simulations 6: Non-equilibrium Extensions 7: Advanced Simulation Methods