Unifying views on catalyst deactivation
Berzelius stated that catalysts remain unaltered in their reaction environment. However,
catalyst deactivation always becomes noticeable at certain timescales, frequently hindering …
catalyst deactivation always becomes noticeable at certain timescales, frequently hindering …
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 …
Self-driving laboratories for chemistry and materials science
Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …
Through the automation of experimental workflows, along with autonomous experimental …
Artificial intelligence for science in quantum, atomistic, and continuum systems
Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …
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 …
Hybrid machine learning approach to predict the site selectivity of iridium-catalyzed arene borylation
E Caldeweyher, M Elkin, G Gheibi… - Journal of the …, 2023 - ACS Publications
The borylation of aryl and heteroaryl C–H bonds is valuable for the site-selective
functionalization of C–H bonds in complex molecules. Iridium catalysts ligated by bipyridine …
functionalization of C–H bonds in complex molecules. Iridium catalysts ligated by bipyridine …
Organic reactivity from mechanism to machine learning
As more data are introduced in the building of models of chemical reactivity, the mechanistic
component can be reduced until 'big data'applications are reached. These methods no …
component can be reduced until 'big data'applications are reached. These methods no …
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 …
Exploration of reaction pathways and chemical transformation networks
For the investigation of chemical reaction networks, the identification of all relevant
intermediates and elementary reactions is mandatory. Many algorithmic approaches exist …
intermediates and elementary reactions is mandatory. Many algorithmic approaches exist …
Exploring paths of chemical transformations in molecular and periodic systems: An approach utilizing force
S Maeda, Y Harabuchi - Wiley Interdisciplinary Reviews …, 2021 - Wiley Online Library
This article provides an overview on an automated reaction path search method called
artificial force induced reaction (AFIR). The AFIR method induces various chemical …
artificial force induced reaction (AFIR). The AFIR method induces various chemical …