Literature DB >> 33446908

Accurate machine learning in materials science facilitated by using diverse data sources.

Rohit Batra.   

Abstract

Keywords:  Computer science; Materials science

Year:  2021        PMID： 33446908     DOI： 10.1038/d41586-020-03259-4

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


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  1 in total

Review 1.  Machine learning for molecular and materials science.

Authors:  Keith T Butler; Daniel W Davies; Hugh Cartwright; Olexandr Isayev; Aron Walsh
Journal:  Nature       Date:  2018-07-25       Impact factor: 49.962
  1 in total
  2 in total

1.  Data-driven design and controllable synthesis of Pt/carbon electrocatalysts for H2 evolution.

Authors:  Anhui Zheng; Yuxuan Wang; Fangfei Zhang; Chunnian He; Shan Zhu; Naiqin Zhao
Journal:  iScience       Date:  2021-11-13

2.  Predicting the Redox Potentials of Phenazine Derivatives Using DFT-Assisted Machine Learning.

Authors:  Siddharth Ghule; Soumya Ranjan Dash; Sayan Bagchi; Kavita Joshi; Kumar Vanka
Journal:  ACS Omega       Date:  2022-03-29
  2 in total

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