% V Bur index and steric maps: from predictive catalysis to machine learning

S Escayola, N Bahri-Laleh, A Poater - Chemical Society Reviews, 2024 - pubs.rsc.org
Steric indices are parameters used in chemistry to describe the spatial arrangement of
atoms or groups of atoms in molecules. They are important in determining the reactivity …

Self-driving laboratories for chemistry and materials science

G Tom, SP Schmid, SG Baird, Y Cao, K Darvish… - Chemical …, 2024 - ACS Publications
Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …

Kinetically-driven reactivity of sulfinylamines enables direct conversion of carboxylic acids to sulfinamides

HT Dang, A Porey, S Nand, R Trevino… - Chemical …, 2023 - pubs.rsc.org
Sulfinamides are some of the most centrally important four-valent sulfur compounds that
serve as critical entry points to an array of emergent medicinal functional groups, molecular …

Enantioselectivity prediction of pallada-electrocatalysed C–H activation using transition state knowledge in machine learning

LC Xu, J Frey, X Hou, SQ Zhang, YY Li, JCA Oliveira… - Nature …, 2023 - nature.com
Enantioselectivity prediction in asymmetric catalysis has been a long-standing challenge in
synthetic chemistry because of the high-dimensional nature of the structure …

Reaction performance prediction with an extrapolative and interpretable graph model based on chemical knowledge

SW Li, LC Xu, C Zhang, SQ Zhang, X Hong - Nature Communications, 2023 - nature.com
Accurate prediction of reactivity and selectivity provides the desired guideline for synthetic
development. Due to the high-dimensional relationship between molecular structure and …

Bridging chemical knowledge and machine learning for performance prediction of organic synthesis

SQ Zhang, LC Xu, SW Li, JCA Oliveira… - … A European Journal, 2023 - Wiley Online Library
Recent years have witnessed a boom of machine learning (ML) applications in chemistry,
which reveals the potential of data‐driven prediction of synthesis performance. Digitalization …

Do Chemformers Dream of Organic Matter? Evaluating a Transformer Model for Multistep Retrosynthesis

AM Westerlund, S Manohar Koki… - Journal of Chemical …, 2024 - ACS Publications
Synthesis planning of new pharmaceutical compounds is a well-known bottleneck in
modern drug design. Template-free methods, such as transformers, have recently been …

HTE and machine learning-assisted development of iridium (I)-catalyzed selective O–H bond insertion reactions toward carboxymethyl ketones

Y Xu, F Ren, L Su, Z Xiong, X Zhu, X Lin… - Organic Chemistry …, 2023 - pubs.rsc.org
Functional group substituted carboxymethyl ketones, particularly heterocyclic ones, are
important structural motifs in biologically active molecules, but their synthesis is challenging …

Meso‐substituted Metalloporphyrin‐based Composites for Electrocatalytic Oxygen Reduction Reactions

R Yuan, SL George, J Chen, Q Wu, X Qiu… - …, 2023 - Wiley Online Library
Metalloporphyrins have been regarded as one of the most promising electrocatalysts for
oxygen reduction reactions (ORRs) due to their ease of structure modification and the robust …

A genetic optimization strategy with generality in asymmetric organocatalysis as a primary target

S Gallarati, P van Gerwen, R Laplaza, L Brey… - Chemical …, 2024 - pubs.rsc.org
A catalyst possessing a broad substrate scope, in terms of both turnover and
enantioselectivity, is sometimes called “general”. Despite their great utility in asymmetric …