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DAM, Hieu Chi Professor
Knowledge Science, Co-Creative Intelligence, International Research Center for Materials Informatics (Excellent Core), Transition Arena for Quantum Materials and Information Sciences (taQumi) (Neo Excellent Core)
◆Degrees
The University of Tokyo, Faculty of Science, Department of Physics, Bachelor（Physics）（1998）JAIST, Master（Materials Science）(2000) JAIST, Ph.D（Materials Science）(2003)
◆Professional Experience
2021 - : Tohoku University , International Center for Synchrotron Radiation Innovation Smart Cross Fertilization Division , Professor
2020 - : Japan Advanced Institute of Science and Technology , School of Knowledge Science , Professor
2011 - 2020 : Japan Advanced Institute of Science and Technology , School of Knowledge Science , Associate professor
: Lecturer at Department of Physics, Hanoi National University (2003); Associate at Japan Advanced Institute of Science and Technology (2004); Lecturer at Japan Advanced Institute of Science and Technology (2006)
◆Specialties
Computational science, Magnetism, superconductivity, and strongly correlated systems, Applied materials, Mathematical physics and basic theory
◆Research Keywords
Materials Informatics, Datamining, First Principles Calculation, Diffraction Physics
◆Research Interests
Data science and Materials Informatics

■Publications

◆Published Papers
Pt-Co/C Cathode Catalyst Degradation in a Polymer Electrolyte Fuel Cell Investigated by an Infographic Approach Combining Three-Dimensional Spectroimaging and Unsupervised Learning
Yuanyuan Tan, Hirosuke Matsui, Nozomu Ishiguro, Tomoya Uruga, Duong-Nguyen Nguyen, Oki Sekizawa, Tomohiro Sakata, Naoyuki Maejima, Kotaro Higashi, Hieu Chi Dam, Mizuki Tada
JOURNAL OF PHYSICAL CHEMISTRY C, 123, 31, 18844-18853, 2019
Application of materials informatics on crystalline materials for two-body terms approximation
Van-Doan Nguyen, Tien-Lam Pham, Hieu-Chi Dam
COMPUTATIONAL MATERIALS SCIENCE, 166, 155-161, 2019
Ensemble learning reveals dissimilarity between rare-earth transition-metal binary alloys with respect to the Curie temperature
Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Hiori Kino, Takashi Miyake, Hieu-Chi Dam
Journal of Physics: Materials, 2, 3, 034009-034009, 2019
Oxygen-diffusion-driven oxidation behavior and tracking areas visualized by X-ray spectro-ptychography with unsupervised learning
Makoto Hirose, Nozomu Ishiguro, Kei Shimomura, Duong-Nguyen Nguyen, Hirosuke Matsui, Hieu Chi Dam, Mizuki Tada, Yukio Takahashi
COMMUNICATIONS CHEMISTRY, 2, -, 2019
Measuring the Similarity between Materials with an Emphasis on the Materials Distinctiveness.
Tran-Thai Dang, Tien-Lam Pham, Hiori Kino, Takashi Miyake, Hieu-Chi Dam
CoRR, abs/1903.10867, -, 2019
◆Misc
Data-driven studies of magnetic materials
Dam Hieu-Chi, 三宅 隆, 木野 日織
Solid State Physics, 646, 12, 749-756, 2019
第一原理計算とデータ科学的アプローチ
ダム ヒョウ チ, 水上 卓
化学と教育, 67, 2, 62-65, 2019
Ensemble learning reveals dissimilarity between rare-earth transition metal binary alloys with respect to the Curie temperature (vol 2, 034009, 2019)
Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Hiori Kino, Takashi Miyake, Hieu-Chi Dam
JOURNAL OF PHYSICS-MATERIALS, 3, 1, -, 2020
知識共創力を高めるメタ認知スキルの学び方の学び:議論のファシリテーションを通じた経験学習
田中孝治, 田中孝治, CHEN Wei, DAM Hieu‐Chi, 小林重人, 橋本敬, 橋本敬, 池田満, 池田満
電子情報通信学会論文誌 D(Web), J101-D, 6, 830‐842 (WEB ONLY)-, 2018
Learning How to Learn Meta-cognition Skill for Facilitating the Knowledge Co-creating Session
田中 孝治, ダム ヒョウ チ, 小林 重人
日本教育工学会研究報告集, 15, 4, 11-16, 2015
◆Books
Progressive Trends in Knowledge and System-based Science for Service Innovation. (Chapter 7) Big Data and Service Science
IGI Global, 2013
Series on Innovation and Knowledge Management Vol. 8.The role of “Bridge SE” in knowlege sharing: A case study of software offshoring from Japan to Vietnam
2009
◆Conference Activities & Talks
Ensemble learning reveals similarity between rare-earth transition metal binary alloys
Materials Research Meeting 2019 (MRS-J), 2019
Data mining for materials design
33rd Computer-aided Materials and Molecular design Forum, 表参道「アイビーホール」東京, 2018
データ科学手法の活用による物質空間の理解に向けて
日本金属学会2018年秋期講演, 東北大学、仙台, 2018
Representation of multi-element materials with emphasis on orbital interaction
ACCMS-Theme Meeting on Multiscale Modelling of Materials for Sustainable Development (ACCMS-TM 2018), University of Engineering and Technology, Ha Noi, Viet Nam, 2018
Committee machine that votes for similarity between materials
ACCMS-Theme Meeting on Multiscale Modelling of Materials for Sustainable Development (ACCMS-TM 2018), University of Engineering and Technology, Ha Noi, Viet Nam, 2018

■Academic  Awards

・ ACCMS-Theme Meeting on Multiscale Modelling of Materials for Sustainable Development (ACCMS-TM 2018), Excellent Oral Presentation , Asian Consortium on Computational Materials Science , 2018