EwaldSolidSolution: A High-Throughput Application to Quickly Sample Stable Site Arrangements for Ionic Solid Solutions.
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[1] P. Krüger,et al. Thermodynamic Analysis of ArxXe1-x Solid Solutions Based on Kirkwood–Buff Theory , 2022, Physchem.
[2] Danling Wang,et al. Crystal Structure and Preparation of Li7La3Zr2O12 (LLZO) Solid-State Electrolyte and Doping Impacts on the Conductivity: An Overview , 2021, Electrochem.
[3] M. Nakayama,et al. First-Principles DFT Study on Inverse Ruddlesden–Popper Tetragonal Compounds as Solid Electrolytes for All-Solid-State Li+-Ion Batteries , 2021 .
[4] P. Krüger,et al. Extension of Kirkwood-Buff theory to solids and its application to the compressibility of fcc argon. , 2021, The Journal of chemical physics.
[5] K. A. Khalaf,et al. Influence of the inversion factor on Madelung constants in spinel systems , 2021 .
[6] S. Ong. Accelerating materials science with high-throughput computations and machine learning , 2019, Computational Materials Science.
[7] Cormac Toher,et al. High-entropy high-hardness metal carbides discovered by entropy descriptors , 2018, Nature Communications.
[8] M. Lusi. Engineering crystal properties through solid solutions , 2018 .
[9] Fuyang Tian. A Review of Solid-Solution Models of High-Entropy Alloys Based on Ab Initio Calculations , 2017, Front. Mater..
[10] B. Grabowski,et al. Computationally-driven engineering of sublattice ordering in a hexagonal AlHfScTiZr high entropy alloy , 2017, Scientific Reports.
[11] Zhenlian Chen,et al. A new method applicable to study solid compounds with multiple polyhedral structures , 2016, J. Comput. Chem..
[12] Kirill Okhotnikov,et al. Supercell program: a combinatorial structure-generation approach for the local-level modeling of atomic substitutions and partial occupancies in crystals , 2016, Journal of Cheminformatics.
[13] Felix A Faber,et al. Crystal structure representations for machine learning models of formation energies , 2015, 1503.07406.
[14] J. Macneil,et al. Synthesis, structure, physicochemical characterization and electronic structure of thio-lithium super ionic conductors, Li4GeS4 and Li4SnS4 , 2014 .
[15] Kristin A. Persson,et al. Commentary: The Materials Project: A materials genome approach to accelerating materials innovation , 2013 .
[16] Anubhav Jain,et al. Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis , 2012 .
[17] M. Vithal,et al. A wide-ranging review on Nasicon type materials , 2011 .
[18] G. Roux,et al. Thermoelectric properties of nanostructured Si1−xGex and potential for further improvement , 2010 .
[19] M. Dresselhaus,et al. High-Thermoelectric Performance of Nanostructured Bismuth Antimony Telluride Bulk Alloys , 2008, Science.
[20] B. Cantor,et al. Microstructural development in equiatomic multicomponent alloys , 2004 .
[21] Y. Chiang,et al. Lattice energies and structural distortions in Pb(ZrxTi1-x)O3 solid solutions , 2002 .
[22] B. Stanbery. Copper Indium Selenides and Related Materials for Photovoltaic Devices , 2002 .
[23] D. Joanes,et al. Comparing measures of sample skewness and kurtosis , 1998 .
[24] G. Kresse,et al. Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set , 1996 .
[25] J. Board,et al. Ewald summation techniques in perspective: a survey , 1996 .
[26] H. Hong,et al. Crystal structures and crystal chemistry in the system Na1+xZr2SixP3−xO12☆ , 1976 .
[27] R. Roth,et al. Piezoelectric Properties of Lead Zirconate‐Lead Titanate Solid‐Solution Ceramics , 1954 .
[28] J. Tu,et al. Recent progress of sulfide electrolytes for all-solid-state lithium batteries , 2022, Energy Materials.
[29] R. Hoppe. On the Madelung Part of Lattice Energy , 1995 .
[30] L. Nordheim. Zur Elektronentheorie der Metalle. II , 1931 .
[31] P. P. Ewald. Die Berechnung optischer und elektrostatischer Gitterpotentiale , 1921 .