Computational discovery of transition-metal complexes: from high-throughput screening to machine learning
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 …
materials. The behavior of the metal–organic bond, while very tunable for achieving target …
The genesis of molecular volcano plots
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 …
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
The ferrocene (Fc)‐based metal–organic frameworks (MOFs) are regarded as compelling
platforms for the construction of efficient and robust oxygen evolution reaction (OER) …
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 …
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
Despite decades of effort, no earth-abundant homogeneous catalysts have been discovered
that can selectively oxidize methane to methanol. We exploit active learning to …
that can selectively oxidize methane to methanol. We exploit active learning to …
Design of Frustrated Lewis Pair Catalysts for Direct Hydrogenation of CO2
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 …
catalyzed hydrogenation of CO2 remains elusive. From a near‐infinite array of plausible …
Navigating through the maze of homogeneous catalyst design with machine learning
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 …
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 …
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 …
catalyst concentrations can be challenging, as these desired attributes often involve …
Constructing and interpreting volcano plots and activity maps to navigate homogeneous catalyst landscapes
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 …
Once constructed, they can be used to estimate and predict the performance of a catalyst …