标题
Machine learning bandgaps of double perovskites
作者
关键词
-
出版物
Scientific Reports
Volume 6, Issue 1, Pages -
出版商
Springer Nature
发表日期
2016-01-19
DOI
10.1038/srep19375
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Crystal structure representations for machine learning models of formation energies
- (2015) Felix Faber et al. INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY
- Transferable Atomic Multipole Machine Learning Models for Small Organic Molecules
- (2015) Tristan Bereau et al. Journal of Chemical Theory and Computation
- Structure classification and melting temperature prediction in octet AB solids via machine learning
- (2015) G. Pilania et al. PHYSICAL REVIEW B
- Accelerated materials property predictions and design using motif-based fingerprints
- (2015) Tran Doan Huan et al. PHYSICAL REVIEW B
- Big Data of Materials Science: Critical Role of the Descriptor
- (2015) Luca M. Ghiringhelli et al. PHYSICAL REVIEW LETTERS
- A2B′B″O6 perovskites: A review
- (2015) Sami Vasala et al. PROGRESS IN SOLID STATE CHEMISTRY
- Classification ofABO3perovskite solids: a machine learning study
- (2015) G. Pilania et al. Acta Crystallographica Section B-Structural Science Crystal Engineering and Materials
- Adaptive machine learning framework to accelerateab initiomolecular dynamics
- (2014) Venkatesh Botu et al. INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY
- Data mining for materials design: A computational study of single molecule magnet
- (2014) Hieu Chi Dam et al. JOURNAL OF CHEMICAL PHYSICS
- Informatics guided discovery of surface structure-chemistry relationships in catalytic nanoparticles
- (2014) Antonis N. Andriotis et al. JOURNAL OF CHEMICAL PHYSICS
- Modeling electronic quantum transport with machine learning
- (2014) Alejandro Lopez-Bezanilla et al. PHYSICAL REVIEW B
- How to represent crystal structures for machine learning: Towards fast prediction of electronic properties
- (2014) K. T. Schütt et al. PHYSICAL REVIEW B
- Combinatorial screening for new materials in unconstrained composition space with machine learning
- (2014) B. Meredig et al. PHYSICAL REVIEW B
- Rational design of all organic polymer dielectrics
- (2014) Vinit Sharma et al. Nature Communications
- New Light-Harvesting Materials Using Accurate and Efficient Bandgap Calculations
- (2014) Ivano E. Castelli et al. Advanced Energy Materials
- Informatics-aided bandgap engineering for solar materials
- (2013) Partha Dey et al. COMPUTATIONAL MATERIALS SCIENCE
- Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies
- (2013) Katja Hansen et al. Journal of Chemical Theory and Computation
- The high-throughput highway to computational materials design
- (2013) Stefano Curtarolo et al. NATURE MATERIALS
- Compressive sensing as a paradigm for building physics models
- (2013) Lance J. Nelson et al. PHYSICAL REVIEW B
- Accelerating materials property predictions using machine learning
- (2013) Ghanshyam Pilania et al. Scientific Reports
- AFLOWLIB.ORG: A distributed materials properties repository from high-throughput ab initio calculations
- (2012) Stefano Curtarolo et al. COMPUTATIONAL MATERIALS SCIENCE
- Finding Density Functionals with Machine Learning
- (2012) John C. Snyder et al. PHYSICAL REVIEW LETTERS
- Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
- (2012) Matthias Rupp et al. PHYSICAL REVIEW LETTERS
- Materials Scientists Look to a Data-Intensive Future
- (2012) R. F. Service SCIENCE
- Machines that Think for Themselves
- (2012) Yaser S. Abu-Mostafa SCIENTIFIC AMERICAN
- Accelerated computational discovery of high-performance materials for organic photovoltaics by means of cheminformatics
- (2011) Roberto Olivares-Amaya et al. Energy & Environmental Science
- Computational screening of perovskite metal oxides for optimal solar light capture
- (2011) Ivano E. Castelli et al. Energy & Environmental Science
- Atom-centered symmetry functions for constructing high-dimensional neural network potentials
- (2011) Jörg Behler JOURNAL OF CHEMICAL PHYSICS
- High-Throughput Combinatorial Database of Electronic Band Structures for Inorganic Scintillator Materials
- (2011) Wahyu Setyawan et al. ACS Combinatorial Science
- Time to automate identification
- (2010) Norman MacLeod et al. NATURE
- Kohn-Sham potential with discontinuity for band gap materials
- (2010) M. Kuisma et al. PHYSICAL REVIEW B
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