ORCID as entered in ROS

Select Publications
Wang D; Sun Y; Niu R; Song ZZ; Tang S; Wang H; Geng X; Zhang J; Yang J; Cazorla C; Guo C; Chang S; Lou X; Huang H; Chen Z; Zhang S, 2025, Flexoelectricity-driven giant polarization in (Bi, Na)TiO3-based ferroelectric thin films, http://dx.doi.org/10.21203/rs.3.rs-6051347/v1
Yang J; Yin Z; Li S, 2024, Accounting for the Vibrational Contribution to the Configurational Entropy in Disordered Solids with Machine Learned Forcefields: A Case Study of Garnet Electrolyte Li7La3Zr2O12, http://dx.doi.org/10.26434/chemrxiv-2024-xbsdb
Yang J; Li S, 2022, Computational Material Database of Free-Standing 2D Perovskites, http://dx.doi.org/10.26434/chemrxiv-2022-7wqj3
Yang J, 2021, Composition and Dimension Dependent Static and Dynamic Stabilities of Inorganic Mixed Halide Antimony Perovskites, http://dx.doi.org/10.26434/chemrxiv.14191301.v1
Yang J, 2021, Composition and Dimension Dependent Static and Dynamic Stabilities of Inorganic Mixed Halide Antimony Perovskites, http://dx.doi.org/10.26434/chemrxiv.14191301
Yang J, 2020, Mapping Temperature-Dependent Energy-Structure-Property Relationships for Solid Solutions of Inorganic Halide Perovskites, http://dx.doi.org/10.26434/chemrxiv.12927359.v1
Yang J, 2020, Mapping Temperature-Dependent Energy-Structure-Property Relationships for Solid Solutions of Inorganic Halide Perovskites, http://dx.doi.org/10.26434/chemrxiv.12927359
Yang J; Li N; Li S, 2019, The Interplay among Molecular Structures, Crystal Symmetries and Lattice Energy Landscapes Revealed by Unsupervised Machine Learning: A Closer Look at Pyrrole Azaphenacenes, http://dx.doi.org/10.26434/chemrxiv.9037481
Yang J; Li N; Li S, 2019, The Interplay among Molecular Structures, Crystal Symmetries and Lattice Energy Landscapes Revealed by Unsupervised Machine Learning: A Closer Look at Pyrrole Azaphenacenes, http://dx.doi.org/10.26434/chemrxiv.9037481.v1