Emerging Trends in Cross-Coupling: Twelve-Electron-Based L1Pd(0) Catalysts, Their Mechanism of Action, and Selected Applications
SJ Firsan, V Sivakumar, TJ Colacot - Chemical Reviews, 2022 - ACS Publications
Monoligated palladium (0) species, L1Pd (0), have emerged as the most active catalytic
species in the cross-coupling cycle. Today, there are methods available to generate the …
species in the cross-coupling cycle. Today, there are methods available to generate the …
Predictive chemistry: machine learning for reaction deployment, reaction development, and reaction discovery
The field of predictive chemistry relates to the development of models able to describe how
molecules interact and react. It encompasses the long-standing task of computer-aided …
molecules interact and react. It encompasses the long-standing task of computer-aided …
Active learning guides discovery of a champion four-metal perovskite oxide for oxygen evolution electrocatalysis
Multi-metal oxides in general and perovskite oxides in particular have attracted considerable
attention as oxygen evolution electrocatalysts. Although numerous theoretical studies have …
attention as oxygen evolution electrocatalysts. Although numerous theoretical studies have …
Machine Learning-Guided Development of Trialkylphosphine Ni(I) Dimers and Applications in Site-Selective Catalysis
TM Karl, S Bouayad-Gervais, JA Hueffel… - Journal of the …, 2023 - ACS Publications
Owing to the unknown correlation of a metal's ligand and its resulting preferred speciation in
terms of oxidation state, geometry, and nuclearity, a rational design of multinuclear catalysts …
terms of oxidation state, geometry, and nuclearity, a rational design of multinuclear catalysts …
Data-science driven autonomous process optimization
Autonomous process optimization involves the human intervention-free exploration of a
range process parameters to improve responses such as product yield and selectivity …
range process parameters to improve responses such as product yield and selectivity …
Dataset design for building models of chemical reactivity
Models can codify our understanding of chemical reactivity and serve a useful purpose in
the development of new synthetic processes via, for example, evaluating hypothetical …
the development of new synthetic processes via, for example, evaluating hypothetical …
Data-driven multi-objective optimization tactics for catalytic asymmetric reactions using bisphosphine ligands
Optimization of the catalyst structure to simultaneously improve multiple reaction objectives
(eg, yield, enantioselectivity, and regioselectivity) remains a formidable challenge. Herein …
(eg, yield, enantioselectivity, and regioselectivity) remains a formidable challenge. Herein …
Synthesis and Suzuki–Miyaura cross-coupling of alkyl amine-boranes. A boryl radical-enabled Strategy
CS Buettner, C Stavagna, MJ Tilby… - Journal of the …, 2024 - ACS Publications
Alkyl organoborons are powerful materials for the construction of C (sp 3)–C (sp 2) bonds,
predominantly via Suzuki–Miyaura cross-coupling. These species are generally assembled …
predominantly via Suzuki–Miyaura cross-coupling. These species are generally assembled …
Using data science to guide aryl bromide substrate scope analysis in a Ni/photoredox-catalyzed cross-coupling with acetals as alcohol-derived radical sources
Ni/photoredox catalysis has emerged as a powerful platform for C (sp2)–C (sp3) bond
formation. While many of these methods typically employ aryl bromides as the C (sp2) …
formation. While many of these methods typically employ aryl bromides as the C (sp2) …
Multimetallic-catalyzed C–C bond-forming reactions: from serendipity to strategy
LKG Ackerman-Biegasiewicz… - Journal of the …, 2023 - ACS Publications
The use of two or more metal catalysts in a reaction is a powerful synthetic strategy to access
complex targets efficiently and selectively from simple starting materials. While capable of …
complex targets efficiently and selectively from simple starting materials. While capable of …