A brief introduction to chemical reaction optimization

CJ Taylor, A Pomberger, KC Felton, R Grainger… - Chemical …, 2023 - ACS Publications
From the start of a synthetic chemist's training, experiments are conducted based on recipes
from textbooks and manuscripts that achieve clean reaction outcomes, allowing the scientist …

The rise of self-driving labs in chemical and materials sciences

M Abolhasani, E Kumacheva - Nature Synthesis, 2023 - nature.com
Accelerating the discovery of new molecules and materials, as well as develo** green
and sustainable ways to synthesize them, will help to address global challenges in energy …

Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR

A Tropsha, O Isayev, A Varnek, G Schneider… - Nature Reviews Drug …, 2024 - nature.com
Quantitative structure–activity relationship (QSAR) modelling, an approach that was
introduced 60 years ago, is widely used in computer-aided drug design. In recent years …

A field guide to flow chemistry for synthetic organic chemists

L Capaldo, Z Wen, T Noël - Chemical science, 2023 - pubs.rsc.org
Flow chemistry has unlocked a world of possibilities for the synthetic community, but the idea
that it is a mysterious “black box” needs to go. In this review, we show that several of the …

Machine learning for electrocatalyst and photocatalyst design and discovery

H Mai, TC Le, D Chen, DA Winkler… - Chemical …, 2022 - ACS Publications
Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels,
reducing the impact of global warming, and providing solutions to environmental pollution …

Artificial intelligence and machine learning technology driven modern drug discovery and development

C Sarkar, B Das, VS Rawat, JB Wahlang… - International Journal of …, 2023 - mdpi.com
The discovery and advances of medicines may be considered as the ultimate relevant
translational science effort that adds to human invulnerability and happiness. But advancing …

Biocatalysis

EL Bell, W Finnigan, SP France, AP Green… - Nature Reviews …, 2021 - nature.com
Biocatalysis has become an important aspect of modern organic synthesis, both in
academia and across the chemical and pharmaceutical industries. Its success has been …

[HTML][HTML] Scope of machine learning in materials research—A review

MH Mobarak, MA Mimona, MA Islam, N Hossain… - Applied Surface Science …, 2023 - Elsevier
This comprehensive review investigates the multifaceted applications of machine learning in
materials research across six key dimensions, redefining the field's boundaries. It explains …

Chemical reaction networks and opportunities for machine learning

M Wen, EWC Spotte-Smith, SM Blau… - Nature Computational …, 2023 - nature.com
Chemical reaction networks (CRNs), defined by sets of species and possible reactions
between them, are widely used to interrogate chemical systems. To capture increasingly …

Combining machine learning and computational chemistry for predictive insights into chemical systems

JA Keith, V Vassilev-Galindo, B Cheng… - Chemical …, 2021 - ACS Publications
Machine learning models are poised to make a transformative impact on chemical sciences
by dramatically accelerating computational algorithms and amplifying insights available from …