“Materials Informatics” カテゴリ一覧

Category: Materials Informatics

2023

• Qixiang Wang, Zhequn Huang, Jiazhou Li, Guan-Yao Huang, Dewen Wang, Heng Zhang, Jiang Guo, Min Ding, Jintao Chen, Zihan Zhang, Zhenhua Rui, Wen Shang, Jia-Yue Xu, Jian Zhang, Junichiro Shiomi, Tairan Fu, Tao Deng, Steven G Johnson, Hongxing Xu, Kehang Cui, “Module-Level Polaritonic Thermophotovoltaic Emitters via Hierarchical Sequential Learning”, Nano Letters 23 (4), 1144-1151 (2023).[https://pubs.acs.org/doi/abs/10.1021/acs.nanolett.2c03476]

2022

• Ruimin Ma, Hanfeng Zhang, Jiaxin Xu, Luning Sun, Yoshihiro Hayashi, Ryo Yoshida, Junichiro Shiomi, Jian-xun Wang, Tengfei Luo, “Machine learning-assisted exploration of thermally conductive polymers based on high-throughput molecular dynamics simulations”, Materials Today Physics 28, 100850 (2022).[https://arxiv.org/pdf/2109.02794]

• Chayaphol Lortaraprasert, Junichiro Shiomi, “Robust combined modeling of crystalline and amorphous silicon grain boundary conductance by machine learning”, npj Computational Materials 8 (1), 219 (2022).[https://www.nature.com/articles/s41524-022-00898-1]

• Jiang Guo, Shenghong Ju, Yaerim Lee, A. Alperen Gunay, Junichiro Shiomi, “Photonic design for color compatible radiative cooling accelerated by materials informatics” International Journal of Heat and Mass Transfer 195, 123193 (2022).[https://doi.org/10.1016/j.ijheatmasstransfer.2022.123193]

• Yoshihiro Hayashi, Junichiro Shiomi, Junko Morikawa, Ryo Yoshida, “RadonPy: Automated physical property calculation using all-atom classical molecular dynamics simulations for polymer informatics”, npj Computational Materials, 8, 222 (2022). (Open access) [https://www.nature.com/articles/s41524-022-00906-4]

• Pol Torres, Stephen Wu, Shenghong Ju, Chang Liu, Terumasa Tadano, Ryo Yoshida, Junichiro Shiomi, “Descriptors of intrinsic hydrodynamic thermal transport: screening a phonon database in a machine learning approach”, Journal of Physics: Condensed Matter 4 135702 (2022). [https://iopscience.iop.org/article/10.1088/1361-648X/ac49c9/meta]

2021

• Shenghong Ju, Ryo Yoshida, Chang Liu, Stephen Wu, Kenta Hongo, Terumasa Tadano, Junichiro Shiomi, “Exploring diamondlike lattice thermal conductivity crystals via feature-based transfer learning”, Physical Review Materials 5 , 053801 (2021). [https://journals.aps.org/prmaterials/abstract/10.1103/PhysRevMaterials.5.053801]

• T. Deng, J. Recatalà-Gómez, M. Ohnishi, R. D. V. Maheswar, P. Kumar, A. Suwardi, A. Abutaha, I. Nandhakumar, K. Biswas, M. Sullivan, G. Wu, J. Shiomi, S-W Yang, K. Hippalgaonkar, “Electronic transport descriptors for the rapid screening of thermoelectric materials”, Materials Horizons, 11 (2021). [https://pubs.rsc.org/en/content/articlelanding/2021/MH/D1MH00751C]

2020

• Michiko Sasaki, Shenghong Ju, Yuxian Xu, Junichiro Shiomi, Masahiro Goto, “Identifying Optimal Strain in Bismuth Telluride Thermoelectric Film by Combinatorial Gradient Thermal Annealing and Machine Learning” ACS Combinatorial Science 22, 782-790 (2020). [https://pubs.acs.org/doi/abs/10.1021/acscombsci.0c00112]

• Shenghong Ju, Shuntaro Shimizu, Junichiro Shiomi, “Designing thermal functional materials by coupling thermal transport calculations and machine learning”, Journal of Applied Physics, 128, 161102 (2020). [https://doi.org/10.1063/5.0017042]

• Run Hu, Sotaro Iwamoto, Lei Feng, Shenghong Ju, Shiqian Hu, Masato Ohnishi, Naomi Nagai, Kazuhiko Hirakawa, Junichiro Shiomi, “Machine-learning-optimized aperiodic superlattice minimizes coherent phonon heat conduction” Physical Review X, 10 (2), 021050. [https://doi.org/10.1103/PhysRevX.10.021050]

• Shenghong Ju, Yoshio Miura, Kaoru Yamamoto, Keisuke Masuda, Ken-ichi Uchida, Junichiro Shiomi, “Machine learning analysis of tunnel magnetoresistance of magnetic tunnel junctions with disordered MgAl2O4” Physical Review Research 2, 023187 (2020). [https://arxiv.org/abs/2001.05150]

• Koki Kitai, Jiang Guo, Shenghong Ju, Shu Tanaka, Koji Tsuda, Junichiro Shiomi, Ryo Tamura, “Expanding the horizon of automated metamaterials discovery via quantum annealing” Physical Review Research, 2, 013319 (2020). [https://doi.org/10.1103/PhysRevResearch.2.013319]

• Jiang Guo, Shenghong Ju, Junichiro Shiomi, “Design of highly-selective radiative-cooling structure accelerated by materials informatics”, Optics Letters, 45, 343-346 (2020). [https://doi.org/10.1364/OL.45.000343]

2019

• Hironao Yamada, Chang Liu, Stephen Wu, Yukinori Koyama, Shenghong Ju, Junichiro Shiomi, Junko Morikawa, Ryo Yoshida, “Predicting materials properties with little data using shotgun transfer learning”, ACS Central Science, 5, 1717-1730 (2019). [https://pubs.acs.org/doi/pdf/10.1021/acscentsci.9b00804]

• Ryo Yoshida, Stephen Wu, Yukiko Kondo, Masa-aki Kakimoto, Bin Yang, Hirano Yamada, Isao Kuwajima, Guillaume Lambard, Kenta Hongo, Yibin Xu, Junichiro Shiomi, Christoph Schick, and Junko Morikawa, “Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm”, npj Computational Materials, 5, 66 (2019) (Open access). [https://doi.org/10.1038/s41524-019-0203-2]

• Thaer Dieb, Shenghong Ju, Junichiro Shiomi, Koji Tsuda, “Monte Carlo tree search for materials design and discovery”, MRS Communications, 9, 532-536 (2019). [http://dx.doi.org/10.1557/mrc.2019.40.]

• Shenghong Ju, Junichiro Shiomi, “Materials informatics for heat transfer: Recent progresses and perspectives”, Nanoscale and Microscale Thermophysical Engineering, 23, 157–172 (2019). [https://doi.org/10.1080/15567265.2019.1576816]

• Atsushi Sakurai, Kyohei Yada, Tetsushi Simomura, Shenghong Ju, Makoto Kashiwagi, Hideyuki Okada, Tadaaki Nagao, Koji Tsuda, Junichiro Shiomi, "Ultra-narrowband wavelength-selective thermal emission with aperiodic multi-layered metamaterials designed by Bayesian optimization”, ACS Central Science 5, 319-326 (2019). Cover article (Open access). [https://pubs.acs.org/doi/full/10.1021/acscentsci.8b00802]

2018

• Masaki Yamawaki, Masato Ohnishi, Shenghong Ju, Junichiro Shiomi, “Multifunctional structural design of graphene thermoelectrics by Bayesian optimization”, Science Advances, 4, eaar4192 (2018). (Open access) [https://doi.org/10.1126/sciadv.aar4192]

2017

• Thaer M. Dieb, Shenghong Ju, Kasuki Yoshizoe, Zhufeng Hou, Junichiro Shiomi, Koji Tsuda, “MDTS: Automatic complex materials design using Monte Carlo tree search”, Science and Technology of Advanced Materials, 18, 498–50 (2017). [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5532970/]

• Shenghong Ju, Takuma Shiga, Lei Feng, Zhufeng Hou, Koji Tsuda, Junichiro Shiomi, “Designing nanostructures for phonon transport via Bayesian optimization”, Physical Review X, 7, 021024 (2017) [Open Access]. [https://journals.aps.org/prx/abstract/10.1103/PhysRevX.7.021024]