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BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale (2022)

First Author: Poelking C

Attributed to: Peta-5: A National Facility for Petascale Data Intensive Computation and Analytics funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1088/2632-2153/ac4d11

Publication URI: http://dx.doi.org/10.1088/2632-2153/ac4d11

Type: Journal Article/Review

Parent Publication: Machine Learning: Science and Technology

Issue: 4