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Generative models for molecular discovery: Recent advances and challenges
Abstract Development of new products often relies on the discovery of novel molecules.
While conventional molecular design involves using human expertise to propose …
While conventional molecular design involves using human expertise to propose …
Photocatalytic Z‐scheme overall water splitting: recent advances in theory and experiments
Photocatalytic water splitting is considered one of the most important and appealing
approaches for the production of green H2 to address the global energy demand. The …
approaches for the production of green H2 to address the global energy demand. The …
Deep learning for molecular design—a review of the state of the art
In the space of only a few years, deep generative modeling has revolutionized how we think
of artificial creativity, yielding autonomous systems which produce original images, music …
of artificial creativity, yielding autonomous systems which produce original images, music …
The synthesizability of molecules proposed by generative models
The discovery of functional molecules is an expensive and time-consuming process,
exemplified by the rising costs of small molecule therapeutic discovery. One class of …
exemplified by the rising costs of small molecule therapeutic discovery. One class of …
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 …
Self-assembly as a key player for materials nanoarchitectonics
K Ariga, M Nishikawa, T Mori, J Takeya… - … and Technology of …, 2019 - Taylor & Francis
The development of science and technology of advanced materials using nanoscale units
can be conducted by a novel concept involving combination of nanotechnology …
can be conducted by a novel concept involving combination of nanotechnology …
A graph-based genetic algorithm and generative model/Monte Carlo tree search for the exploration of chemical space
JH Jensen - Chemical science, 2019 - pubs.rsc.org
This paper presents a comparison of a graph-based genetic algorithm (GB-GA) and
machine learning (ML) results for the optimization of log P values with a constraint for …
machine learning (ML) results for the optimization of log P values with a constraint for …
Deep generative models for 3D linker design
Rational compound design remains a challenging problem for both computational methods
and medicinal chemists. Computational generative methods have begun to show promising …
and medicinal chemists. Computational generative methods have begun to show promising …
Black-box optimization for automated discovery
Conspectus In chemistry and materials science, researchers and engineers discover,
design, and optimize chemical compounds or materials with their professional knowledge …
design, and optimize chemical compounds or materials with their professional knowledge …
Taking the leap between analytical chemistry and artificial intelligence: A tutorial review
The last 10 years have witnessed the growth of artificial intelligence into different research
areas, emerging as a vibrant discipline with the capacity to process large amounts of …
areas, emerging as a vibrant discipline with the capacity to process large amounts of …