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 …
Computational ligand descriptors for catalyst design
DJ Durand, N Fey - Chemical reviews, 2019 - ACS Publications
Ligands, especially phosphines and carbenes, can play a key role in modifying and
controlling homogeneous organometallic catalysts, and they often provide a convenient …
controlling homogeneous organometallic catalysts, and they often provide a convenient …
Dispersion and steric effects on enantio-/diastereoselectivities in synergistic dual transition-metal catalysis
Comprehensive computational studies were carried out to explore the mechanisms of
enantioselective Cu/Pd and stereodivergent Cu/Ir dual-catalytic syntheses of α, α …
enantioselective Cu/Pd and stereodivergent Cu/Ir dual-catalytic syntheses of α, α …
Recent developments and applications of protective silicone coatings: A review of PDMS functional materials
The classification of silicones in the literature is as broad as their properties and
applications; in this work, we have restricted the discussion to polydimethylsiloxanes …
applications; in this work, we have restricted the discussion to polydimethylsiloxanes …
Mechanistic studies of transition-metal-catalyzed [2+ 2+ 2] cycloaddition reactions
A Roglans, A Pla-Quintana, M Sola - Chemical Reviews, 2020 - ACS Publications
The development of catalytic methodologies involving the formation of C–C bonds to enable
the generation of cyclic systems constitutes a field of great relevance in synthetic organic …
the generation of cyclic systems constitutes a field of great relevance in synthetic organic …
Computational studies of carboxylate-assisted C–H activation and functionalization at group 8–10 transition metal centers
DL Davies, SA Macgregor, CL McMullin - Chemical reviews, 2017 - ACS Publications
Computational studies on carboxylate-assisted C–H activation and functionalization at
group 8–10 transition metal centers are reviewed. This Review is organized by metal and …
group 8–10 transition metal centers are reviewed. This Review is organized by metal and …
Computational approach to molecular catalysis by 3d transition metals: challenges and opportunities
Computational chemistry provides a versatile toolbox for studying mechanistic details of
catalytic reactions and holds promise to deliver practical strategies to enable the rational in …
catalytic reactions and holds promise to deliver practical strategies to enable the rational in …
Catalyst energy prediction with catberta: Unveiling feature exploration strategies through large language models
Efficient catalyst screening necessitates predictive models for adsorption energy, which is a
key descriptor of reactivity. Prevailing methods, notably graph neural networks (GNNs) …
key descriptor of reactivity. Prevailing methods, notably graph neural networks (GNNs) …
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 …
Search for catalysts by inverse design: artificial intelligence, mountain climbers, and alchemists
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 …
approaches have been limited by the need to compute properties for an intractably large …