Work

How to explore chemical space using algorithms and automation

Year: 2019

Type: review

Source: Nature Reviews Chemistry

DOI: 10.1038/s41570-018-0066-y

Authors: Piotr S. Gromski, Alon B. Henson, Jarosław M. Granda, Leroy Cronin

Institution: University of Glasgow

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

Funder: Engineering and Physical Sciences Research Council

Awards: International Collaboration in Chemistry - Modular microtubular architectures for photo-driven water splitting, Energy and the Physical Sciences: Hydrogen Production using a Proton Electron Buffer, Complex Chemical Systems Platform Exploring Inorganic Intelligence, EPSRC Centre for Innovative Manufacturing for Continuous Manufacturing and Crystallisation, Molecular-Metal-Oxide-nanoelectronicS (M-MOS): Achieving the Molecular Limit, Chemobots: Digital-Chemical-Robotics to Convert Code to Molecules and Complex Systems, A Digital DNA Nano Writer (DNA NanoFab), Synthetic Biology applications to Water Supply and Remediation, Programmable Molecular Metal Oxides (PMMOs): From Fundamentals to Application, Programmable 'Digital' Synthesis for Discovery & Scale-up of Molecules, Clusters & Nanomaterials, The Multicorder

OpenAlex ID: W2908837618

FWCI: 1.753

Cites: 66

Cited by: 247

Related to: 10