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Xin Zhao
Researcher at Iowa State University
Publications - 71
Citations - 1654
Xin Zhao is an academic researcher from Iowa State University. The author has contributed to research in topics: Crystal structure & Magnet. The author has an hindex of 21, co-authored 71 publications receiving 1310 citations. Previous affiliations of Xin Zhao include CBS Laboratories & United States Department of Energy.
Papers
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Journal ArticleDOI
An adaptive genetic algorithm for crystal structure prediction.
Shunqing Wu,Shunqing Wu,Min Ji,Cai-Zhuang Wang,Manh Cuong Nguyen,Xin Zhao,Koichiro Umemoto,Koichiro Umemoto,Renata M. Wentzcovitch,Kai-Ming Ho +9 more
TL;DR: A genetic algorithm for structural search that combines the speed of structure exploration by classical potentials with the accuracy of density functional theory calculations in an adaptive and iterative way is presented, increasing the efficiency of the DFT-based GA by several orders of magnitude.
Journal ArticleDOI
Electric field-induced phase transitions in (111)-, (110)-, and (100)-oriented Pb(Mg1∕3Nb2∕3)O3 single crystals
TL;DR: In this article, Kutnjak et al. investigated electric field-induced phase transitions in (111), (110), and (100) thin platelets of relaxor ferroelectric.
Journal ArticleDOI
Exploring the structural complexity of intermetallic compounds by an adaptive genetic algorithm.
Xin Zhao,Manh Cuong Nguyen,Manh Cuong Nguyen,Wenyong Zhang,Congjun Wang,Congjun Wang,Matthew J. Kramer,David J. Sellmyer,Xingzhong Li,Feng Zhang,Liqin Ke,Vladimir Antropov,Kai-Ming Ho,Kai-Ming Ho +13 more
TL;DR: The hard magnetic phase and the origin of high coercivity in this compound are identified, thus guiding further development of these materials for use as high performance permanent magnets without rare-earth elements.
Journal ArticleDOI
New layered structures of cuprous chalcogenides as thin film solar cell materials: Cu2Te and Cu2Se.
TL;DR: The stable crystal structures of two cuprous chalcogenides of Cu2X (X=Te or Se) are predicted using an adaptive genetic algorithm in combination with first-principles density functional theory calculations, and both systems are found to prefer a unique and previously unrecognized layered structure.
Journal ArticleDOI
Adaptive Genetic Algorithm for Crystal Structure Prediction
Shunqing Wu,Min Ji,Cai-Zhuang Wang,Manh Cuong Nguyen,Xin Zhao,Koichiro Umemoto,Renata M. Wentzcovitch,Kai-Ming Ho +7 more
TL;DR: In this article, a genetic algorithm (GA) for structural search that combines the speed of structure exploration by classical potentials with the accuracy of density functional theory (DFT) calculations in an adaptive and iterative way is presented.