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【Changed to Online Only】Perspectives on Artificial Intelligence and Machine Learning in Materials Science|20210014 | Joint Research Center for Advanced and Fundamental Mathematics-for-Industry
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文部科学大臣認定「産業数学の先進的・基礎的共同研究拠点」九州大学マス・フォア・インダストリ研究所

【Changed to Online Only】Perspectives on Artificial Intelligence and Machine Learning in Materials Science|20210014

CATEGORY:Events

TAG: General Workshop (I) 

How to holdHybrid Meeting (in person/Zoom) Online Meeting by Zoom
VenueSeminar Room (W1-C-512), West Zone 1, Ito campus, Kyushu University and Live-streaming by Zoom
Main languageEnglish

Title of Research Project: Perspectives on Artificial Intelligence and Machine Learning in Materials Science
Principal Investigator: Daniel PACKWOOD (Junior Associate Professor/Institute for Integrated Cell-Material Sciences, Kyoto University)
Research Period: February 4, 2022 – February 6, 2022

Program

February 4(Fri)

Chair: Alex STAYKOV

8:30-8:40
Opening Remarks (Yasuhide FUKUMOTO)

08:40-09:40
Speaker: Petros SOFRONIS(I2CNER, Kyushu University and UIUC)
Title: Mathematical Challenges in Linking the Micro- with Macro-Scale Behavior of Materials in Adverse Chemomechanical Environments

09:40-10:40
Speaker: Kulbir Kaur GHUMAN (INRS)
Title: Designing Energy Materials via Genetic Algorithm Based Machine Learning Approach

10:40-11:00
Break

11:00-12:00
Speaker: David RIVERA(Hiroshima University)
Title: Density Functional Theory and Machine Learning Description and Prediction of Oxygen Atom Chemisorption on Platinum Nanoparticles

12:00-13:00
Speaker: Gergely JUHASZ(Tokyo Institute of Technology)Title: Electrochemistry of Nanoparticles and Nanotube

13:00-14:00
Lunch Break

14:00-16:00
Student talks session

February 5(Sat)

Chair: Daniel Packwood

08:30-09:30
Speaker: Shigenori FUJIKAWA(I2CNER, Kyushu University)
Title: Membrane Design for Negative CO2 Emissions Technology

09:30-10:30
Speaker: Yu KANEKO (Daicel Corporation)
Title: Introduction of Machine Learning Approach for Chemical Compound Search in Daicel

10:30-11:00
Break

11:00-12:00
Speaker: Ichigaku TAKIGAWA(RIKEN and Hokkaido University)
Title: Machine Learning for Molecules: Lessons and Challenges of Data-Centric Chemistry

12:00-13:00
Speaker: Ippei OBAYASHI (RIKEN)
Title: 3D Data Analysis of X-Ray CT Images with Persistent Homology and Nonnegative Matrix Factorization

13:00-14:00
Lunch Break

14:00-16:00
Student talks session

February 6(Sun)

Chair: Pierluigi CESANA

08:30-09:30
Speaker: Daniel PACKWOOD (iCeMS, Kyoto University)
Title: Data-Driven Approaches for Surface Materials and Beyond

09:30-10:30
Speaker: Yoshinobu KAWAHARA (IMI, Kyushu University and RIKEN)
Title: Data-Driven Analysis of Dynamical Systems: From an Operator-Theoretic Perspective

10:30-11:00
Break

11:00-12:00
Speaker: Sherry CHEN(Hong Kong University of Science and Technology)
Title: Data-Driven Approach for Indexing Free X-Ray Crystallography

12:00-13:00
Speaker: Xiangdong DING (Xi’an Jiaotong University)
Title: Artificial Intelligence Enhanced Atomic Simulations of Complex Phase Transformation

13:00-13:10
Closing remarks

13:10-14:00
Lunch Break

14:00-16:00
Room breakout/free discussions/Student talks session

Registration

Anyone (up to 100 people) can participate in this conference for free.
To get Zoom URL, please fill out the registration form:

\To participate in this meeting, please apply below/

Poster

Zoom

If you have not downloaded the Zoom application yet, please download it (https://zoom.us) in advance.
https://zoom.us/download#client_4meeting

How to install it on your computer or smartphone.
https://zoom.nissho-ele.co.jp/blog/manual/zoom-install.html