Extraction of dynamical hidden order of water by mining simulation data
Project/Area Number |
24700145
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Intelligent informatics
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Research Institution | Japan Advanced Institute of Science and Technology |
Principal Investigator |
DAM Hieu Chi 北陸先端科学技術大学院大学, 知識科学研究科, 准教授 (70397230)
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Project Period (FY) |
2012-04-01 – 2016-03-31
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Project Status |
Completed (Fiscal Year 2015)
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Budget Amount *help |
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2015: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2014: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2013: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2012: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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Keywords | データマイニング / 動的振る舞い / 水素結合ネットワーク / 機械学習 / 第一原理計算 / シミュレーション |
Outline of Final Research Achievements |
Water molecules with their electrostatic dipole moments and characteristic hydrogen bond network have tight interaction to each other as well as to proteins in solutions. The water molecules are moving under the interactions with the surrounding water molecules and information about the local chemical environment is implicitly included in their dynamical behaviors. By applying data mining techniques to the simulation data of protein solution, we have constructed an analysis system for analyzing the dynamical behavior of water molecules for extracting the hidden dynamical structure of protein solution.
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Report
(5 results)
Research Products
(14 results)
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[Presentation] Sparse Modeling for Materials Design2015
Author(s)
H.C. Dam, T.L. Pham, and V.C. Nguyen
Organizer
The 8th Conference of the Asian Consortium on Computational Materials Science (ACCMS-8)
Place of Presentation
Taipei, Taiwan
Year and Date
2015-06-12
Related Report
Int'l Joint Research / Invited
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