Generative AI for design of nanoporous materials: review and future prospects
Evan Xie, Xijun Wang, J. Ilja Siepmann, Haoyuan Chen, Randall Q. Snurr
Abstract
Generative AI is reshaping the design of nanoporous materials by enabling rapid generation and screening of structures with desired properties. This review highlights capabilities, limitations, and practical use of AI for targeted material design.
Topics & Concepts
NanoporousGenerative grammarGenerative DesignNanotechnologyComputer scienceSystems engineeringEngineeringMaterials scienceArtificial intelligenceChemical engineeringCompatibility (geochemistry)Machine Learning in Materials ScienceNanoporous metals and alloysMetal-Organic Frameworks: Synthesis and Applications