Machine learning approaches to the configuration energies and chemisorption models in solids
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jung, Yousung | - |
| dc.date.accessioned | 2017-01-13T08:38:17Z | - |
| dc.date.available | 2017-01-13T08:38:17Z | - |
| dc.date.created | 2017-01-02 | - |
| dc.date.issued | 2016-09-26 | - |
| dc.identifier.citation | IPAM(Institute for Pure & Applied mathematics)Workshop I: Machine Learning Meets Many-Particle Problems | - |
| dc.identifier.uri | http://hdl.handle.net/10203/219254 | - |
| dc.language | English | - |
| dc.publisher | ipam | - |
| dc.title | Machine learning approaches to the configuration energies and chemisorption models in solids | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | IPAM(Institute for Pure & Applied mathematics)Workshop I: Machine Learning Meets Many-Particle Problems | - |
| dc.identifier.conferencecountry | US | - |
| dc.identifier.conferencelocation | Los Angeles, CA | - |
| dc.contributor.localauthor | Jung, Yousung | - |
- Appears in Collection
- EEW-Conference Papers(학술회의논문)
- Files in This Item
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.