“Machine Learning-Empowered Study of Metastable γ-CsPbI3 under Pressure and Strain”, M. Han*, C. Peng, R. Song, F. Ke, Y. G. Nashed, W. L. Mao, C. Jia*, and Y. Lin*, Journal of Materials Chemistry A, 2024, Volume 12, 11082-11089. DOI: 10.1039/D4TA00174E
“On the Volume Power Density of Radial Thermoelectric Generators”, M. Han and D. Wee*, International Journal of Energy Research, 2020, Volume 44, 6049-6057. DOI: 10.1002/er.5317
“Sensitivity of Thermoelectric Properties from the EPA Method and Its Variants on Variations in Phonon Frequencies”, D. Wee*, J. Kim, S. Bang, M. Han and J. Kang, Journal of Electronic Materials, 2019, Volume 49, 2825-2831. DOI: 10.1007/s11664-019-07861-9
Invited Talk
“Machine Learning Prediction of Perovskite Solar Cell Properties under High Pressure”, M. Han* et al., Corning FORCE Seminar, Mar. 6, 2024
Oral Presentations
“Machine Learning Prediction of Perovskite Solar Cell Properties under High Pressure”, M. Han* et al., Stanford Sustainability Data Science Conference, Stanford, CA, Apr. 5, 2024
“Machine Learning Prediction of Perovskite Solar Cell Properties under High Pressure”, M. Han* et al., APS March Meeting, Las Vegas, NV, Mar. 7, 2023
“Machine Learning Study of a Perovskite Solar Cell Material γ-CsPbI3 Under Pressure and Strain”, M. Han* et al., 2022 IUCr High-Pressure Workshop, Chicago, IL, Dec. 8, 2022
“Machine Learning Prediction of Perovskite Solar Cell Properties under High Pressure”, M. Han* et al., 2022 MRS Fall Meeting, Boston, MA, Nov. 29, 2022
Poster Presentations
“Machine Learning Prediction of Perovskite Solar Cell Properties under High Pressure”, M. Han* et al., Stanford Government Energy Summit, Stanford, CA, Jan. 29, 2024
“Machine Learning Prediction of Perovskite Solar Cell Properties under High Pressure”, M. Han* et al., 2024 FORCE Winter Workshop, Tempe, AZ, Jan. 2, 2024
“Development of a Method for Quick and Rough Estimation of Electron-Defect Interactions in Thermoelectric Materials Based on Gaussian Process Regression”, M. Han* et al., 2019 MRS Fall Meeting, Boston, MA, Dec. 3, 2019