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Autonomous discovery in the chemical sciences part I: Progress
This two‐part Review examines how automation has contributed to different aspects of
discovery in the chemical sciences. In this first part, we describe a classification for …
discovery in the chemical sciences. In this first part, we describe a classification for …
Synthetic organic chemistry driven by artificial intelligence
AF De Almeida, R Moreira, T Rodrigues - Nature Reviews Chemistry, 2019 - nature.com
Synthetic organic chemistry underpins several areas of chemistry, including drug discovery,
chemical biology, materials science and engineering. However, the execution of complex …
chemical biology, materials science and engineering. However, the execution of complex …
Using machine learning to predict suitable conditions for organic reactions
Reaction condition recommendation is an essential element for the realization of computer-
assisted synthetic planning. Accurate suggestions of reaction conditions are required for …
assisted synthetic planning. Accurate suggestions of reaction conditions are required for …
Solvent-mediated charge separation drives alternative hydrogenation path of furanics in liquid water
Compared to the vapour phase, liquid-phase heterogeneous catalysis provides additional
degrees of freedom for reaction engineering, but the multifaceted solvent effects complicate …
degrees of freedom for reaction engineering, but the multifaceted solvent effects complicate …
Solvent-enabled control of reactivity for liquid-phase reactions of biomass-derived compounds
The use of organic solvents in biomass conversion reactions can lead to high rates and
improved selectivities. Here, we elucidate the effects of organic solvent mixtures with water …
improved selectivities. Here, we elucidate the effects of organic solvent mixtures with water …
Cellulose and hemicellulose valorisation: an integrated challenge of catalysis and reaction engineering
Platform molecules have recently been in the focus of numerous investigations as
intermediates for transformation of lignocellulosic biomass into fuels and chemicals. Herein …
intermediates for transformation of lignocellulosic biomass into fuels and chemicals. Herein …
Computer-aided molecular design: An introduction and review of tools, applications, and solution techniques
ND Austin, NV Sahinidis, DW Trahan - Chemical Engineering Research …, 2016 - Elsevier
This article provides an introduction to and review of the field of computer-aided molecular
design (CAMD). It is intended to be approachable for the absolute beginner as well as useful …
design (CAMD). It is intended to be approachable for the absolute beginner as well as useful …
Deep learning and knowledge-based methods for computer-aided molecular design—toward a unified approach: State-of-the-art and future directions
The optimal design of compounds through manipulating properties at the molecular level is
often the key to considerable scientific advances and improved process systems …
often the key to considerable scientific advances and improved process systems …
Machine learning and molecular descriptors enable rational solvent selection in asymmetric catalysis
Y Amar, AM Schweidtmann, P Deutsch, L Cao… - Chemical …, 2019 - pubs.rsc.org
Rational solvent selection remains a significant challenge in process development. Here we
describe a hybrid mechanistic-machine learning approach, geared towards automated …
describe a hybrid mechanistic-machine learning approach, geared towards automated …
A systematic review on intensifications of artificial intelligence assisted green solvent development
H Wen, S Nan, D Wu, Q Sun, Y Tong… - Industrial & …, 2023 - ACS Publications
Solvents are indispensable components of chemical processes, and the application of
ecofriendly, safe, and efficient solvents is vital for building green chemical processes …
ecofriendly, safe, and efficient solvents is vital for building green chemical processes …