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Persistent URL http://purl.org/net/epubs/work/56357684
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Record Id 56357684
Title Gradient boosted and statistical feature selection workflow for materials property predictions
Contributors
Abstract
Organisation ISIS , STFC
Keywords bulk modulus , covariance and correlation , elastic modulus , density functional theory , regression analysis , HOMO and LUMO , thermal conductivity , machine learning
Funding Information RAENG (RCSRF1819/7/10); ISIS Neutron and Muon Source (Support for Research Chair and Associated Ph.D. Studentship); RAL (Ph.D. Support from the STFC Scientific Computing Department)
Related Research Object(s):
Licence Information: Creative Commons Attribution 4.0 International (CC BY 4.0)
Language English (EN)
Type Details URI(s) Local file(s) Year
Journal Article J Chem Phys 159, no. 19 (2023): 194106. doi:10.1063/5.0171540 2023