Computational Discovery of Inorganic Electrides from an Automated Screening
An automated computational scheme has been developed to screen the potential electride materials. This enabled a comprehensive search for the potential electride materials in silico. Many new candidate materials, with a variety of crystal packing and physical properties, were uncovered from a high-throughput screen of the existing inorganic materials database, which thus opens new avenues for future electride design.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Univ. of Nevada, Las Vegas, NV (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- NA0001982; AC52-07NA27344; AC02-98CH10086
- OSTI ID:
- 1706202
- Alternate ID(s):
- OSTI ID: 1668515; OSTI ID: 1701932; OSTI ID: 1770991
- Report Number(s):
- LLNL-JRNL-764271; S2590238519300694; PII: S2590238519300694
- Journal Information:
- Matter (Online), Journal Name: Matter (Online) Vol. 1 Journal Issue: 5; ISSN 2590-2385
- Publisher:
- Cell Press/ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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