361 citations
- University of California, BerkeleyUS3 papers
- Duke UniversityUS2 papers
- Hearst (United States)US2 papers
- Lawrence Berkeley National LaboratoryUS2 papers
- Autonomous University of ChihuahuaMX1 paper
- Biogen (Belgium)BE1 paper
- California Institute of TechnologyUS1 paper
- Cavendish HospitalGB1 paper
- Cedars-Sinai Medical CenterUS1 paper
- Centro de Investigación en Materiales AvanzadosMX1 paper
- Chinese Academy of SciencesCN1 paper
- Computer Network Information CenterCN1 paper
Showing cond-mat.mtrl-sciShow all
3 papers · 1 filter
cond-mat.mtrl-sci2024★ 49 cited
Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange
Matthew L. Evans, Johan Bergsma, Andrius Merkys +56
The Open Databases Integration for Materials Design (OPTIMADE) application programming interface (API) empowers users with holistic access to a growing federation of databases, enh…
cond-mat.mtrl-sci2022★ 79 cited
Machine-learning rationalization and prediction of solid-state synthesis conditions
Haoyan Huo, Christopher J. Bartel, Tanjin He +5
There currently exist no quantitative methods to determine the appropriate conditions for solid-state synthesis. This not only hinders the experimental realization of novel materia…
cond-mat.mtrl-sci2014★ 312 cited
High-Throughput Computational Screening of thermal conductivity, Debye temperature and Grüneisen parameter using a quasi-harmonic Debye Model
Cormac Toher, Jose J. Plata, Ohad Levy +4
The quasi-harmonic Debye approximation has been implemented within the AFLOW and Materials Project frameworks for high-throughput computational science (Automatic Gibbs Library, AG…