Machine learning approaches to the configuration energies and chemisorption models in solids

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Publisher
ipam
Issue Date
2016-09-26
Language
English
Citation

IPAM(Institute for Pure & Applied mathematics)Workshop I: Machine Learning Meets Many-Particle Problems

URI
http://hdl.handle.net/10203/219254
Appears in Collection
EEW-Conference Papers(학술회의논문)
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