Chemical compound space (CCS), the set of all theoretically conceivable combinations of chemical elements and (meta-) stable geometries that make up matter, is colossal. The first …
Big data and artificial intelligence has revolutionized science in almost every field–from economics to physics. In the area of materials science and computational heterogeneous …
Catalyst discovery is increasingly relying on computational chemistry, and many of the computational tools are currently being automated. The state of this automation and the …
JG Freeze, HR Kelly, VS Batista - Chemical reviews, 2019 - ACS Publications
In silico catalyst design is a grand challenge of chemistry. Traditional computational approaches have been limited by the need to compute properties for an intractably large …
T Toyao, K Suzuki, S Kikuchi… - The Journal of …, 2018 - ACS Publications
The process employed to discover new materials for specific applications typically utilizes screening of large compound libraries. In this approach, the performance of a compound is …
A Ejsmont, J Andreo, A Lanza, A Galarda… - Coordination chemistry …, 2021 - Elsevier
Metal–organic frameworks (MOFs) are exciting materials due to their extensive applicability in a multitude of modern technological fields. Their most prominent characteristic and …
Catalytic processes are crucially important for many practical chemical applications. Heterogeneous catalysts are especially appealing because of their high stability and the …
Molecular dynamics (MD) simulations allow atomistic insights into chemical and biological processes. Accurate MD simulations require computationally demanding quantum …