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DAM, Hieu Chi Professor
Knowledge Science, Co-Creative Intelligence, International Research Center for Materials Informatics (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

■Teaching Experience

Computational Material Design, Data Science, Advanced Data Analytics(E), Data Analytics, Introduction to Knowledge Science(E), Introduction to Knowledge Science, Basis of Data Analytics (E), 物質計算科学特論, データサイエンス論, データ分析学特論(E), データ分析学(E), 知識科学概論(E), 知識科学概論, データ分析学基礎(E)

■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