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Machine learning to tame divergent density functional approximations: a
  new path to consensus materials design principles

Machine learning to tame divergent density functional approximations: a new path to consensus materials design principles

24 June 2021
Chenru Duan
Shuxin Chen
Michael G. Taylor
F. Liu
Heather J. Kulik
    AI4CE
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Papers citing "Machine learning to tame divergent density functional approximations: a new path to consensus materials design principles"

2 / 2 papers shown
Title
Active Learning Exploration of Transition Metal Complexes to Discover
  Method-Insensitive and Synthetically Accessible Chromophores
Active Learning Exploration of Transition Metal Complexes to Discover Method-Insensitive and Synthetically Accessible Chromophores
Chenru Duan
Aditya Nandy
Gianmarco G. Terrones
D. Kastner
Heather J. Kulik
32
9
0
10 Aug 2022
Audacity of huge: overcoming challenges of data scarcity and data
  quality for machine learning in computational materials discovery
Audacity of huge: overcoming challenges of data scarcity and data quality for machine learning in computational materials discovery
Aditya Nandy
Chenru Duan
Heather J. Kulik
AI4CE
25
45
0
02 Nov 2021
1