Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
Combining machine learning with ab initio computations to accelerate new compounds discovery — Geoffroy Hautier (2009) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Combining machine learning with ab initio computations to accelerate new compounds discovery
Shared by
Gerbrand Ceder
University of California, Berkeley
Combining machine learning with ab initio computations to accelerate new compounds discovery
Article
2009
en
Authors
+1 more
GH
Geoffroy Hautier
CF
Christopher C. Fischer
AJ
Ankit Jain
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2009
Where are nature’s missing ternary oxides? Combining machine learning with ab initio computations to accelerate new compoundsdiscovery
Geoffroy Hautier
,
Christopher C. Fischer
,
Anubhav Jain
,
Gerbrand Ceder
Article
2010
High-throughput ab initio computations for accelerated new materials discovery and its application to lithium-ion batteries,
Geoffroy Hautier
,
Anubhav Jain
,
Christopher Moore
,
Curt R. Fischer
,
Timothy K. Mueller
,
H. Chen
,
Robert Doe
,
Gerbrand Ceder
Article
2012
High-throughput ab initio computations for materials discovery and the Materials project Database
Geoffroy Hautier
,
Anna Miglio
,
Gian‐Marco Rignanese
,
Xavier Gonze
,
Arun K. Jain
,
Kristin A. Persson
,
Shyue Ping Ong
,
Gerbrand Ceder
Article
2010
High-throughput ab initio computations for accelerated new materials discovery, Electronicstructure challenges in materials modeling for energy applications
Geoffroy Hautier
,
Aarushi Jain
,
Christopher Moore
,
Curt R. Fischer
,
Timothy K. Mueller
,
H. Chen
,
Robert Doe
,
Gerbrand Ceder
Article
2008
Materials Informatics: Using machine learning techniques with large amounts of ab-initio computed or experimental data
Gerbrand Ceder
Discussion(0)
No comments yet. Be the first to comment.