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Literature DB >> 29219978

Use machine learning to find energy materials.

Phil De Luna, Jennifer Wei, Yoshua Bengio, Alán Aspuru-Guzik, Edward Sargent.

Abstract

Year: 2017 PMID： 29219978 DOI： 10.1038/d41586-017-07820-6

Source DB: PubMed Journal: Nature ISSN： 0028-0836 Impact factor: 49.962

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9 in total

Review 1. Big-Data Science in Porous Materials: Materials Genomics and Machine Learning.

Authors: Kevin Maik Jablonka; Daniele Ongari; Seyed Mohamad Moosavi; Berend Smit
Journal: Chem Rev Date: 2020-06-10 Impact factor: 60.622

Review 2. The Molecular Industrial Revolution: Automated Synthesis of Small Molecules.

Authors: Melanie Trobe; Martin D Burke
Journal: Angew Chem Int Ed Engl Date: 2018-03-07 Impact factor: 15.336

Review 3. Water electrolysis: from textbook knowledge to the latest scientific strategies and industrial developments.

Authors: Marian Chatenet; Bruno G Pollet; Dario R Dekel; Fabio Dionigi; Jonathan Deseure; Pierre Millet; Richard D Braatz; Martin Z Bazant; Michael Eikerling; Iain Staffell; Paul Balcombe; Yang Shao-Horn; Helmut Schäfer
Journal: Chem Soc Rev Date: 2022-06-06 Impact factor: 60.615

Review 4. The Matter Simulation (R)evolution.

Authors: Alán Aspuru-Guzik; Roland Lindh; Markus Reiher
Journal: ACS Cent Sci Date: 2018-02-06 Impact factor: 14.553

Use machine learning to find energy materials.

Review 1. Big-Data Science in Porous Materials: Materials Genomics and Machine Learning.

Review 2. The Molecular Industrial Revolution: Automated Synthesis of Small Molecules.

Review 3. Water electrolysis: from textbook knowledge to the latest scientific strategies and industrial developments.

Review 4. The Matter Simulation (R)evolution.

Review 5. Machine learning-driven new material discovery.

Review 6. Deep learning: a new tool for photonic nanostructure design.

7. Towards exact molecular dynamics simulations with machine-learned force fields.

8. Quantum machine learning for electronic structure calculations.

9. Bandgap prediction of two-dimensional materials using machine learning.