Literature DB >> 23422720

The high-throughput highway to computational materials design.

Stefano Curtarolo1, Gus L W Hart, Marco Buongiorno Nardelli, Natalio Mingo, Stefano Sanvito, Ohad Levy.   

Abstract

High-throughput computational materials design is an emerging area of materials science. By combining advanced thermodynamic and electronic-structure methods with intelligent data mining and database construction, and exploiting the power of current supercomputer architectures, scientists generate, manage and analyse enormous data repositories for the discovery of novel materials. In this Review we provide a current snapshot of this rapidly evolving field, and highlight the challenges and opportunities that lie ahead.

Year:  2013        PMID: 23422720     DOI: 10.1038/nmat3568

Source DB:  PubMed          Journal:  Nat Mater        ISSN: 1476-1122            Impact factor:   43.841


  52 in total

1.  Identification of novel compositions of ferromagnetic shape-memory alloys using composition spreads.

Authors:  I Takeuchi; O O Famodu; J C Read; M A Aronova; K-S Chang; C Craciunescu; S E Lofland; M Wuttig; F C Wellstood; L Knauss; A Orozco
Journal:  Nat Mater       Date:  2003-03       Impact factor: 43.841

2.  Ordering and magnetism in Fe-Co: dense sequence of ground-state structures.

Authors:  Ralf Drautz; Alejandro Díaz-Ortiz; Manfred Fähnle; Helmut Dosch
Journal:  Phys Rev Lett       Date:  2004-08-02       Impact factor: 9.161

3.  Evolutionary approach for determining first-principles hamiltonians.

Authors:  Gus L W Hart; Volker Blum; Michael J Walorski; Alex Zunger
Journal:  Nat Mater       Date:  2005-04-17       Impact factor: 43.841

4.  Alloy catalysts designed from first principles.

Authors:  Jeff Greeley; Manos Mavrikakis
Journal:  Nat Mater       Date:  2004-10-17       Impact factor: 43.841

5.  Scaling properties of adsorption energies for hydrogen-containing molecules on transition-metal surfaces.

Authors:  F Abild-Pedersen; J Greeley; F Studt; J Rossmeisl; T R Munter; P G Moses; E Skúlason; T Bligaard; J K Nørskov
Journal:  Phys Rev Lett       Date:  2007-07-06       Impact factor: 9.161

6.  Combinatorial and high-throughput materials science.

Authors:  Wilhelm F Maier; Klaus Stöwe; Simone Sieg
Journal:  Angew Chem Int Ed Engl       Date:  2007       Impact factor: 15.336

7.  Uncovering compounds by synergy of cluster expansion and high-throughput methods.

Authors:  Ohad Levy; Gus L W Hart; Stefano Curtarolo
Journal:  J Am Chem Soc       Date:  2010-04-07       Impact factor: 15.419

8.  Thermal conductivity and large isotope effect in GaN from first principles.

Authors:  L Lindsay; D A Broido; T L Reinecke
Journal:  Phys Rev Lett       Date:  2012-08-28       Impact factor: 9.161

9.  New superconducting and semiconducting Fe-B compounds predicted with an ab initio evolutionary search.

Authors:  A N Kolmogorov; S Shah; E R Margine; A F Bialon; T Hammerschmidt; R Drautz
Journal:  Phys Rev Lett       Date:  2010-11-19       Impact factor: 9.161

10.  Screening of metal-organic frameworks for carbon dioxide capture from flue gas using a combined experimental and modeling approach.

Authors:  A Ozgür Yazaydin; Randall Q Snurr; Tae-Hong Park; Kyoungmoo Koh; Jian Liu; M Douglas Levan; Annabelle I Benin; Paulina Jakubczak; Mary Lanuza; Douglas B Galloway; John J Low; Richard R Willis
Journal:  J Am Chem Soc       Date:  2009-12-30       Impact factor: 15.419

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  139 in total

1.  Solar fuels photoanode materials discovery by integrating high-throughput theory and experiment.

Authors:  Qimin Yan; Jie Yu; Santosh K Suram; Lan Zhou; Aniketa Shinde; Paul F Newhouse; Wei Chen; Guo Li; Kristin A Persson; John M Gregoire; Jeffrey B Neaton
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-06       Impact factor: 11.205

2.  Big-deep-smart data in imaging for guiding materials design.

Authors:  Sergei V Kalinin; Bobby G Sumpter; Richard K Archibald
Journal:  Nat Mater       Date:  2015-10       Impact factor: 43.841

3.  Materiomics for Oral Disease Diagnostics and Personal Health Monitoring: Designer Biomaterials for the Next Generation Biomarkers.

Authors:  Wenjun Zhang; Ming L Wang; Sammy Khalili; Steven W Cranford
Journal:  OMICS       Date:  2016-01

Review 4.  Big-Data Science in Porous Materials: Materials Genomics and Machine Learning.

Authors:  Kevin Maik Jablonka; Daniele Ongari; Seyed Mohamad Moosavi; Berend Smit
Journal:  Chem Rev       Date:  2020-06-10       Impact factor: 60.622

Review 5.  QSAR without borders.

Authors:  Eugene N Muratov; Jürgen Bajorath; Robert P Sheridan; Igor V Tetko; Dmitry Filimonov; Vladimir Poroikov; Tudor I Oprea; Igor I Baskin; Alexandre Varnek; Adrian Roitberg; Olexandr Isayev; Stefano Curtarolo; Denis Fourches; Yoram Cohen; Alan Aspuru-Guzik; David A Winkler; Dimitris Agrafiotis; Artem Cherkasov; Alexander Tropsha
Journal:  Chem Soc Rev       Date:  2020-05-01       Impact factor: 54.564

6.  Robofurnace: a semi-automated laboratory chemical vapor deposition system for high-throughput nanomaterial synthesis and process discovery.

Authors:  C Ryan Oliver; William Westrick; Jeremy Koehler; Anna Brieland-Shoultz; Ilias Anagnostopoulos-Politis; Tizoc Cruz-Gonzalez; A John Hart
Journal:  Rev Sci Instrum       Date:  2013-11       Impact factor: 1.523

7.  Material witness: And the winner is....

Authors:  Philip Ball
Journal:  Nat Mater       Date:  2013-10       Impact factor: 43.841

8.  Inorganic materials: The quest for new functionality.

Authors:  Aron Walsh
Journal:  Nat Chem       Date:  2015-04       Impact factor: 24.427

9.  Prediction and accelerated laboratory discovery of previously unknown 18-electron ABX compounds.

Authors:  Romain Gautier; Xiuwen Zhang; Linhua Hu; Liping Yu; Yuyuan Lin; Tor O L Sunde; Danbee Chon; Kenneth R Poeppelmeier; Alex Zunger
Journal:  Nat Chem       Date:  2015-04       Impact factor: 24.427

10.  Accelerated search for BaTiO3-based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning.

Authors:  Dezhen Xue; Prasanna V Balachandran; Ruihao Yuan; Tao Hu; Xiaoning Qian; Edward R Dougherty; Turab Lookman
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-07       Impact factor: 11.205

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