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Lattice constants such as unit cell edge lengths and plane angles are important parameters of the periodic structures of crystal materials.
Electronic structure of calcium as a function of the lattice constant
Joseph W McCaffrey, James R Anderson, and Dimitrios A Papaconstantopoulos · 1973
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Prediction of lattice constant in perovskites of gdfeo3 structure
Li Chonghe, Thing Yihao, Zeng Yingzhi, Wang Chunmei, and Wu Ping · 2003
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Prediction of lattice constant in cubic perovskites
LQ Jiang, JK Guo, HB Liu, M Zhu, X Zhou, P Wu, and CH Li · 2006
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Lattice constant prediction of orthorhombic abo3 perovskites using support vector machines
Syed Gibran Javed, Asifullah Khan, Abdul Majid, Anwar M Mirza, and J Bashir · 2007
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Comment on “prediction of lattice constant in cubic perovskites”
Roberto L Moreira and Anderson Dias · 2007
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The prediction of lattice constants in orthorhombic perovskites
Rick Ubic and G Subodh · 2009
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Lattice constant prediction of a 2 bb’o 6 type double perovskites
Abdul Majid, Muhammad Farooq Ahmad, and Tae-Sun Choi · 2009
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Lattice constant of cubic perovskites
AS Verma and VK Jindal · 2009
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Lattice constant of orthorhomic perovskite solids
A Kumar and AS Verma · 2009
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Lattice constant prediction of cubic and monoclinic perovskites using neural networks and support vector regression
Abdul Majid, Asifullah Khan, Gibran Javed, and Anwar M Mirza · 2010
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Classification and regression by randomforest
Andy Liaw, Matthew Wiener, et al · 2010
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Thermal expansion of supported and freestanding graphene: lattice constant versus interatomic distance
Monica Pozzo, Dario Alfe, Paolo Lacovig, Philip Hofmann, Silvano Lizzit, and Alessandro Baraldi · 2011
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Predicting lattice constant of complex cubic perovskites using computational intelligence
Abdul Majid, Asifullah Khan, and Tae-Sun Choi · 2011
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Modeling of lattice constant and their relations with ionic radii and electronegativity of constituting ions of a2xy6 cubic crystals (a= k, cs, rb, tl; x= tetravalent cation, y= f, cl, br, i)
MG Brik and IV Kityk · 2011
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Commentary: The materials project: A materials genome approach to accelerating materials innovation
Anubhav Jain, Shyue Ping Ong, Geoffroy Hautier, Wei Chen, William Davidson Richards, Stephen Dacek, Shreyas Cholia, Dan Gunter, David Skinner, Gerbrand Ceder, et al · 2013
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Lattice parameters and stability of the spinel compounds in relation to the ionic radii and electronegativities of constituting chemical elements
Rhys EA Goodall and Alpha A Lee · 2019
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Cryspnet: Crystal structure predictions via neural network
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Contact map based crystal structure prediction using global optimization
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Distance matrix based crystal structure prediction using evolutionary algorithms
Jianjun Hu, Wenhui Yang, and Edirisuriya M Dilanga Siriwardane · 2020
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Prediction of lattice constant of a2xy6 cubic crystals using gene expression programming
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Mikhail G Brik, Andrzej Suchocki, and Agata Kaminska · 2014
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Lattice-constant prediction and effect of vacancies in aliovalently doped perovskites
R Ubic, K Tolman, K Talley, B Joshi, J Schmidt, E Faulkner, J Owens, M Papac, A Garland, C Rumrill, et al · 2015
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A general-purpose machine learning framework for predicting properties of inorganic materials
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Lattice constant changes leading to significant changes of the spin-gapless features and physical nature in a inverse heusler compound zr2mnga
Xiaotian Wang, Zhenxiang Cheng, Rabah Khenata, Yang Wu, Liying Wang, and Guodong Liu · 2017
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Descriptors for predicting the lattice constant of body centered cubic crystal
Keisuke Takahashi, Lauren Takahashi, Jakub D Baran, and Yuzuru Tanaka · 2017
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Convolutional neural networks for crystal material property prediction using hybrid orbital-field matrix and magpie descriptors
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Artificial neural networks and vector regression models for prediction of lattice constants of half-heusler compounds
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Menad Nait Amar, Mohammed Abdelfetah Ghriga, Mohamed El Amine Ben Seghier, and Hocine Ouaer · 2020
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Machine learning lattice constants for cubic perovskite a2xy6 compounds
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Generative adversarial networks (gan) based efficient sampling of chemical composition space for inverse design of inorganic materials
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