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Active learning for accelerated design of layered materials | npj Computational Materials
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Automation in DFT-based computational materials science: Trends in Chemistry
Machine learning-based discovery of vibrationally stable materials | npj Computational Materials
Peking University - Published in npj Computational Materials, a team led by Prof. Pan Feng of #PKU Shenzhen Graduate School and Wei Guowei of Michigan State University indicate a proposed topology-based method,
PDF) Genetic algorithms for computational materials discovery accelerated by machine learning
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Donghun Kim | KIST
NPJ材料学| 期刊推荐及热文精选—论文—科学网
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May 2020
Interpretable learning of voltage for electrode design of multivalent metal-ion batteries | npj Computational Materials
Materials Data & Informatics Laboratory
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CEST and SIN publish new paper on npj Computational Materials | Aalto University
Submitted to npj Computational Materials 1 Notice: This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05
