北陸先端科学技術大学院大学 [JAIST] - 研究者総覧
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DAM HIEU CHI (ダム ヒョウ チ) 准教授
知識科学系、知識マネジメント領域

42件中1-20件目

  • 1. Committee machine that votes for similarity between materials,Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Hieu-Chi Dam,ACCMS-Theme Meeting on Multiscale Modelling of Materials for Sustainable Development (ACCMS-TM 2018),University of Engineering and Technology, Ha Noi, Viet Nam,2018-09-07
  • 2. Representation of multi-element materials with emphasis on orbital interaction,Tien-Lam Pham, Hiori Kino, Takashi Miyake, Hieu-Chi Dam,ACCMS-Theme Meeting on Multiscale Modelling of Materials for Sustainable Development (ACCMS-TM 2018),University of Engineering and Technology, Ha Noi, Viet Nam,2018-09-07
  • 3. Committee machine that votes for similarity between materials,Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Hieu-Chi Dam,XXX IUPAP Conference on Computational Physics 2018,University of California, Davis, campus in Davis, California, USA,2018-07-29
  • 4. Measuring Dissimilarity between Materials with an Emphasis on Identity of Atomic Orbital Hybridization,Tran-Thai Dang, Tien-Lam Pham, Hieu-Chi Dam,ACCMS-Theme Meeting on Multiscale Modelling of Materials for Sustainable Development (ACCMS-TM 2018),University of Engineering and Technology, Ha Noi, Viet Nam,2018-09-07
  • 5. データ科学手法の活用による物質空間の理解に向けて,Hieu-Chi Dam,日本金属学会2018年秋期講演,東北大学、仙台,2018年9月19日〜21日
  • 6. Data mining for materials design,Hieu-Chi Dam,33rd Computer-aided Materials and Molecular design Forum,表参道「アイビーホール」東京,2018-11-02
  • 7. Determining physical and chemical properties for material systems with data mining,Hieu-Chi Dam,255th American Chemistry Society National Meeting,New Orleans, LA, USA,2018-03-18
  • 8. Learning materials properties from orbital interactions,Tien-Lam Pham, Hiori Kino, Takashi Miyake, Hieu-Chi Dam,XXX IUPAP Conference on Computational Physics 2018,University of California, Davis, campus in Davis, California, USA,2018-07-29
  • 9. Two-Body Approximation for Representing Crystalline Materials,Van-Doan Nguyen, Tien-Lam Pham, Hieu-Chi Dam,ACCMS-Theme Meeting on Multiscale Modelling of Materials for Sustainable Development (ACCMS-TM 2018),University of Engineering and Technology, Ha Noi, Viet Nam,2018-09-07
  • 10. 議論参加者による議題設定のファシリテートを通じたTAのメタ認知スキルの育成,田中孝治・陳 魏・ダム ヒョウ チ・小林重人・橋本 敬・池田 満,日本教育工学会第33回大会,島根,2017/09/16
  • 11. Accelerating materials science research with data mining,Hieu-Chi Dam,Car-Parrinello Molecular Dynamics CPMD2017 Workshop,EPOCHAL TSUKUBA, International Congress Center, Tsukuba, Ibaraki, Japan,October 18-20, 2017
  • 12. Knowledge Discovery from Materials Science Data,Dam Hieu Chi,2017 TIMS-CENIDE-NTHU Joint Symposium on Nanoscience and Nanotechnology,University of Tsukuba,March 10, 2017
  • 13. Design, select, and learning descriptors for materials informatics,Dam Hieu Chi,International workshop on numerical methods and simulations for materials design and strongly correlated quantum matters,RIKEN Advanced Institute for Computational Science (AICS), Kobe, Japan,March 24, 2017
  • 14. Data mining study of physical properties of transition-metal rare-earth compounds: prediction and understanding,Dam Hieu Chi,Junjiro Kanamori Memorial International Symposium,Koshiba Hall, The University of Tokyo, Tokyo, Japan,September 27, 2017
  • 15. Regression-based clustering for material study,Nguyen Duong Nguyen, Pham Tien Lam, Nguyen Viet Cuong, Dam Hieu Chi,8th International Workshop on Advanced Material Science and Nanotechnology, IWAMSN 2016, Halong, Vietnam, 8th-12th November 2016
  • 16. Mixture model for prediction of atomic energy,Pham Tien Lam, Dam Hieu Chi,8th International Workshop on Advanced Material Science and Nanotechnology, IWAMSN 2016, Halong, Vietnam, 8th-12th November 2016
  • 17. マテリアル・インフォマティクス:分野の特色と課題,Dam Hieu Chi,MI2(情報統合型質・材料開発)と数学連携による新展開・科学技術振興機構,JST東京本部,2016年2月26日
  • 18. 学習目標の自己調整を通じたメタ認知スキルの学び方の学び,田中孝治・ダム ヒョウ チ・小林重人・橋本 敬・池田 満,日本教育工学会第32回全国大会,大阪,2016/09/18
  • 19. Learning how to learn through experiential learning promoting metacognitive skills to improve knowledge co-creation ability,Koji Tanaka, Hieu Chi Dam, Shigeto Kobayashia, Takashi Hashimotoa, Mitsuru Ikeda,International Conference on Knowledge Management, ICKM 2016,Vienna, Austria,2016/10/11
  • 20. Mining magnetic materials data,Dam Hieu Chi,日本磁気学会・第40回日本磁気学会学術講演会,金沢大学(角間キャンパス),2016年9月5日〜8日

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