Computational discovery of transition-metal complexes: from high-throughput screening to machine learning

A Nandy, C Duan, MG Taylor, F Liu, AH Steeves… - Chemical …, 2021 - ACS Publications
Transition-metal complexes are attractive targets for the design of catalysts and functional
materials. The behavior of the metal–organic bond, while very tunable for achieving target …

The genesis of molecular volcano plots

MD Wodrich, B Sawatlon, M Busch… - Accounts of chemical …, 2021 - ACS Publications
Conspectus For the past two decades, linear free energy scaling relationships and volcano
plots have seen frequent use as computational tools that aid in understanding and …

Charge‐transfer‐regulated bimetal ferrocene‐based organic frameworks for promoting electrocatalytic oxygen evolution

J Hu, Q Xu, X Wang, X Huang, C Zhou, Y Ye… - Carbon …, 2023 - Wiley Online Library
The ferrocene (Fc)‐based metal–organic frameworks (MOFs) are regarded as compelling
platforms for the construction of efficient and robust oxygen evolution reaction (OER) …

Automated in silico design of homogeneous catalysts

M Foscato, VR Jensen - ACS catalysis, 2020 - ACS Publications
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 …

New strategies for direct methane-to-methanol conversion from active learning exploration of 16 million catalysts

A Nandy, C Duan, C Goffinet, HJ Kulik - Jacs Au, 2022 - ACS Publications
Despite decades of effort, no earth-abundant homogeneous catalysts have been discovered
that can selectively oxidize methane to methanol. We exploit active learning to …

Design of Frustrated Lewis Pair Catalysts for Direct Hydrogenation of CO2

S Das, RC Turnell‐Ritson, PJ Dyson… - Angewandte Chemie …, 2022 - Wiley Online Library
Despite recent progress in the chemistry of frustrated Lewis pairs (FLPs), direct FLP‐
catalyzed hydrogenation of CO2 remains elusive. From a near‐infinite array of plausible …

Navigating through the maze of homogeneous catalyst design with machine learning

G dos Passos Gomes, R Pollice, A Aspuru-Guzik - Trends in Chemistry, 2021 - cell.com
The ability to forge difficult chemical bonds through catalysis has transformed society on all
fronts, from feeding the ever-growing population to increasing life expectancies through the …

Ru clusters confined in Hydrogen-bonded organic frameworks for homogeneous catalytic hydrogenation of N-heterocyclic compounds with heterogeneous …

Q Song, D Xu, WD Wang, J Fang, X Sun, F Li, B Li… - Journal of …, 2022 - Elsevier
Combining the advantages of homogeneous catalysis and the recyclability of
heterogeneous catalysts is highly desired for sustainable catalysis but remains a …

Zinc Aryl/Alkyl β-diketiminates: Balancing Accessibility and Stability for High-Activity Ring-Opening Polymerization of rac-Lactide

JE Chellali, AK Alverson, JR Robinson - ACS Catalysis, 2022 - ACS Publications
The development of nontoxic initiators which display both high activity and stability at low
catalyst concentrations can be challenging, as these desired attributes often involve …

Constructing and interpreting volcano plots and activity maps to navigate homogeneous catalyst landscapes

R Laplaza, S Das, MD Wodrich, C Corminboeuf - Nature Protocols, 2022 - nature.com
Volcano plots and activity maps are powerful tools for studying homogeneous catalysis.
Once constructed, they can be used to estimate and predict the performance of a catalyst …