Showing 1–19 of 19 results
/ Date/ Name
Dec 24, 2011Interplay between Nitrogen Dopants and Native Point Defects in GrapheneMay 30, 2012Electronic Structures of N-doped Graphene with Native Point DefectsMar 11, 2021High-$T_c$ superconducting hydrides formed by LaH$_{24}$ and YH$_{24}$ cage structures as basic blocksFeb 27, 2021High-$T_c$ ternary metal hydrides, YKH$_{12}$ and LaKH$_{12}$, discovered by machine learningMay 12, 2020Machine Learning Guided Discovery of Gigantic Magnetocaloric Effect in HoB$_{2}$ Near Hydrogen Liquefaction TemperatureJul 12, 2021The systematic study on the stability and superconductivity of Y-Mg-H compounds under high pressureMar 22, 2019Bayesian optimization of chemical composition: a comprehensive framework and its application to $R$Fe$_{12}$-type magnet compoundsAug 24, 2018Data-driven Exploration of New Pressure-induced Superconductivity in PbBi$_2$Te$_4$ with Two Transition TemperaturesJun 25, 2018Two Pressure-induced Superconducting Transitions in SnBi$_2$Se$_4$ Explored by Data-driven Materials Search: New Approach to Develop Novel Functional Materials Including Thermoelectric and Superconducting MaterialsFeb 26, 2019Data-driven Exploration of Pressure-Induced Superconductivity in AgIn$_{5}$Se$_{8}$Oct 25, 2019Leveraging Legacy Data to Accelerate Materials Design via Preference LearningApr 5, 2022Potential high-$T_{c}$ superconductivity in YCeH$_{x}$ and LaCeH$_{x}$ under pressureJun 28, 2016New Insight into the Ground State of FePc: A Diffusion Monte Carlo StudyOct 12, 2022(La,Th)H$_{10}$: the potential high-$T_{c}$ superconductors stabilized thermodynamically below 200 GPaJul 4, 2019Pressure-induced superconductivity in SnSb2Te4Jun 30, 2020Pressure-Induced Superconductivity in Layered Transition-metal Chalcogenides (Zr,Hf)GeTe$_{4}$ Explored by Data-driven ApproachSep 15, 2021High-pressure Mg-Sc-H phase diagram and its superconductivity from first-principles calculationsSep 16, 2016Designing nanostructures for interfacial phonon transport via Bayesian optimizationMar 16, 2018Stability Engineering of Halide Perovskite via Machine Learning