Hieu Chi Dam

发表

From Analysis to Prediction, from Prediction to Design: —Materials Informatics—@@@—マテリアルズ・インフォマティクス—

Hieu Chi Dam, Kiyoyuki Terakura, 2015 .

Big Data and Service Science

Hieu Chi Dam, Tu Bao Ho, Siriwon Taewijit, 2016 .

Ensemble learning reveals dissimilarity between rare-earth transition-metal binary alloys with respect to the Curie temperature pdf

Hieu Chi Dam, Takashi Miyake, Hiori Kino, 2019, Journal of Physics: Materials.

BS-1-6 Reducing overfitting in parameter estimates for high-accuracy thermal simulation of smart homes(BS-1. Future Network Technologies for Advanced Information and Communications Society)

Azman Osman Lim, Yasuo Tan, Hieu Chi Dam, 2014 .

Building Classification Trees on Japanese Stock Groups Partitioned by Network Clustering

Hieu Chi Dam, Takashi Isogai, H. Dam, 2017 .

Novel mixture model for the representation of potential energy surfaces.

Hieu Chi Dam, Kiyoyuki Terakura, Takashi Miyake, 2016, The Journal of chemical physics.

Learning How to Learn through Experiential Learning Promoting Metacognitive Skills to Improve Knowledge Co-creation Ability

Mitsuru Ikeda, Hieu Chi Dam, Shigeto Kobayashi, 2016 .

解析から予測へ，予測から設計へ:—マテリアルズ・インフォマティクス—

Hieu Chi Dam, 寺倉清之, 2015 .

Important Descriptors and Descriptor Groups of Curie Temperatures of Rare-earth Transition-metal Binary Alloys

Hieu Chi Dam, Kiyoyuki Terakura, Takashi Miyake, 2018, Journal of the Physical Society of Japan.

A regression-based feature selection study of the Curie temperature of transition-metal rare-earth compounds: prediction and understanding

Hieu Chi Dam, Kiyoyuki Terakura, Takashi Miyake, 2017 .

Data mining for materials design: a computational study of single molecule magnet.

Hieu Chi Dam, Tu Bao Ho, Anh Tuan Nguyen, 2014, The Journal of chemical physics.