Название: Artificial Intelligence in Science and Engineering: From Porous Materials to Drug Discovery, Volumes 1–2
Автор: Muhammad Sahimi
Издательство: Wiley-VCH
Год: 2027
Страниц: 811
Язык: английский
Формат: pdf
Размер: 23.7 MB
Apply AI and ML to solve complex problems across sciences. Many problems in physics, engineering, and applied sciences resist traditional modeling approaches. Artificial Intelligence in Science and Engineering: From Porous Materials to Drug Discovery presents AI and ML methods for tackling otherwise unsolvable problems in complex systems. Written by Muhammad Sahimi, who brings over 40 years of research experience to the topic, this reference spans multiple scientific domains. The book covers AI and ML applications in hydrodynamics, porous media characterization, molecular dynamics simulation, and biological phenomena including protein folding. It addresses environmental applications and drug discovery, connecting computational methods with domain-specific challenges in fluid dynamics, materials science, and biology. Readers gain access to methods that model, predict, and optimize processes difficult to approach through conventional techniques. Physicists, materials scientists, engineers, computer scientists, and computational biologists will find this volume a substantive reference for applying AI and ML across their research domains.