This special collection focuses on the new discipline of Materials Informatics, which is a fusion of Materials Science and Information Science. Novel data-driven technologies bring enormous possibilities to a variety of applications by covering the relations between processing, morphology (structure) and properties of materials.
STAM supports the development of Materials Informatics and its community not only by providing this special collection, but also by hosting a dedicated web portal: here.
|Spectrum adapted expectation-maximization algorithm for high-throughput peak shift analysis||Tarojiro Matsumura, Naoka Nagamura, Shotaro Akaho, Kenji Nagata & Yasunobu Ando|
|Data-driven analysis of electron relaxation times in PbTe-type thermoelectric materials||Yukari Katsura, Masaya Kumagai, Takushi Kodani, Mitsunori Kaneshige, Yuki Ando, Sakiko Gunji, Yoji Imai, Hideyasu Ouchi, Kazuki Tobita, Kaoru Kimura & Koji Tsuda|
|Automatic steel labeling on certain microstructural constituents with image processing and machine learning tools||Dmitry S. Bulgarevich, Susumu Tsukamoto, Tadashi Kasuya, Masahiko Demura & Makoto Watanabe|
|Data-driven exploration of new pressure-induced superconductivity in PbBi2Te4||Ryo Matsumoto, Zhufeng Hou, Masanori Nagao, Shintaro Adachi, Hiroshi Hara, Hiromi Tanaka, Kazuki Nakamura, Ryo Murakami, Sayaka Yamamoto, Hiroyuki Takeya, Tetsuo Irifune, Kiyoyuki Terakura & Yoshihiko Takano|
|Relation extraction with weakly supervised learning based on process-structure-property-performance reciprocity||Takeshi Onishi, Takuya Kadohira & Ikumu Watanabe|
|Focus on materials genome and informatics||Kiyoyuki Terakura & Ichiro Takeuchi|
|Grain growth prediction based on data assimilation by implementing 4DVar on multi-phase-field model||Shin-ichi Ito, Hiromichi Nagao, Tadashi Kasuya & Junya Inoue|
|Petascale supercomputing to accelerate the design of high-temperature alloys||Dongwon Shin, Sangkeun Lee, Amit Shyam & J. Allen Haynes|
|Machine learning reveals orbital interaction in materials||Tien Lam Pham, Hiori Kino, Kiyoyuki Terakura, Takashi Miyake, Koji Tsuda, Ichigaku Takigawa & Hieu Chi Dam|
|MDTS: Automatic Complex Materials Design using Monte Carlo Tree Search||Thaer M. Dieb, Shenghong Ju, Kazuki Yoshizoe, Zhufeng Hou, Junichiro Shiomi & Koji Tsuda|
|Quantitative description on structure-property relationships of Li-ion battery materials for high-throughput computations||Youwei Wang, Wenqing Zhang, Lidong Chen, Siqi Shi & Jianjun Liu|
|ChemTS: an efficient python library for de novo molecular generation||Xiufeng Yang, Jinzhe Zhang, Kazuki Yoshizoe, Kei Terayama & Koji Tsuda|
|A general representation scheme for crystalline solids based on Voronoi-tessellation real feature values and atomic property data||Randy Jalem, Masanobu Nakayama, Yusuke Noda, Tam Le, Ichiro Takeuchi, Yoshitaka Tateyama & Hisatsugu Yamazaki|