Welcome

Overview:

This workshop concentrates on a confluence of two research fields of machine learning technique and material science. Now, the material science has a chance to reap the benefit of recent advances of machine learning technology associated with the nature of multi-layer structures universally expected in the feedback feature of realistic systems. Machine learning has a possibility to produce novel methods for describing strong correlation in materials and molecules and computing properties to facilitate material design.

This workshop includes talks from both younger and more established researchers on the following three topics:

Lectures on fundamental aspects of machine leaning, including its history, essential idea, breakthrough and problems.
Lectures on global introduction of applications of machine learning in many research fields.
Talks on the development of theory and method for material and chemical designs by using material informatics and machine learning.
Talks on purely material sciences involved with complex quantum many body systems in physics, chemistry and biology.

We welcome you to join the workshop.

Organizers:

Hiroshi Ueda
Seiji Yunoki
Takahito Nakajima
Takehiro Yonehara

Supported by:

Date and Venue

Date : Friday, March 24 - Saturday, March 25, 2017

Venue: RIKEN Advanced Institute for Computational Science (AICS)

Registration fee : Free of charge

※ A catering including drinks will be arranged in the poster session. Please prepare JPY 1,000.- as the drink fee in the session if you attend it.

Registration

Please fill in the necessary information on the registration form below and send an e-mail to kobeworkshop2016gmail.com .

Subject: Registration for AICS INSMS
Text:

Name:
Affiliation:
Position:
Presentation: Poster/Nothing
Title:

Speakers

Invited speakers [confirmed]:

Aurélien Decelle: LRI, University of Paris-Sud
Bing Huang: University of Basel
Edwin Miles Stoudenmire: University of California, Irvine
Hieu Chi Dam: Japan Advanced Institute of Science and Technology
Hiroshi Fujisaki: Nippon Medical School
Jascha Sohl-Dickstein: Google
John Parkhill: University of Notre Dame
Juan Felipe Carrasquilla: D-Wave Systems
Masato Okada: The University of Tokyo and National Institute for Materials Science
Mikiya Fujii: The University of Tokyo
Ryo Tamura: National Institute for Materials Science
Satoru Iuchi: Nagoya University
Yang Wei Koh Patrick: Home researcher (physics), Singapore
Zi Yang Meng: Institute of Physics, Chinese Academy of Sciences

Program (as of Mar. 21, 2017)

Book of abstracts (pdf file, updated on Mar. 24)

Friday, March 24 (Day1)

09:30-	Registration
10:00	Welcome coffee (09:50-)
10:00-	Seiji Yunoki, RIKEN AICS
10:05	Opening Remarks
	Session 1 (Chair: Juan Felipe Carrasquilla)

10:05-	Jascha Sohl-Dickstein, Google
10:50	Deep Unsupervised Learning using Nonequilibrium Thermodynamics [PM]
10:50-	Edwin Miles Stoudenmire, University of California, Irvine
11:35	Machine Learning with Quantum-Inspired Tensor Networks [PM]
11:35-	Satoru Iuchi, Nagoya University
12:20	Computational study on ultrafast electronic relaxation in an iron(II) complex
12:20-	Lunch
13:30
	Session 2 (Chair: Edwin Miles Stoudenmire)

13:30-	Zi Yang Meng, Institute of Physics, Chinese Academy of Sciences
14:15	Self-learning Monte Carlo Method [PM]
14:15-	Yang Wei Koh Patrick, Home researcher (physics), Singapore
15:00	Low-lying excitations of quantum spin-glasses [PM]
15:00-	Photo
15:10
15:10-	Break
15:30
	Session 3 (Chair: Yang Wei Koh Patrick)

15:30-	Masato Okada, The University of Tokyo and National Institute for Materials Science
16:15	Sparse modeling in condensed matter physics
16:15-	Aurélien Decelle, LRI, University of Paris-Sud
17:00	Ising inverse problem : recovering the topology of the network [PM]
17:00-	Mikiya Fujii, The University of Tokyo
17:45	Charge separation pathway via highly excited electronic states in organic photovoltaics
17:45-	Poster Session
19:30

Saturday, March 25 (Day2)

	Session 4 (Chair: Aurélien Decelle)

09:10-	Hiroshi Fujisaki, Nippon Medical School
09:55	Ab initio molecular tier model for quantum vibrational dynamics [PM]
09:55-	Bing Huang, University of Basel
10:40	More efficient representations of compounds for machine learning models [PM]
10:40-	Hieu Chi Dam, Japan Advanced Institute of Science and Technology
11:25	Design, select, and learning descriptors for materials informatics
11:25-	Lunch
13:00
	Session 5 (Chair: Jascha Sohl-Dickstein)

13:00-	Ryo Tamura, National Institute for Materials Science
13:45	Estimation of effective models by machine learning [PM]
13:45-	John Parkhill, University of Notre Dame
14:30	Neural Network Model Chemistries [PM]
14:30-	Juan Felipe Carrasquilla, D-Wave Systems
15:15	Machine learning phases of matter [PM]
15:15-	Takahito Nakajima, RIKEN AICS
15:25	Closing Remarks

Access details and Accommodation:

Access details:

Kobe Airport (about 5 min., JPY 250.-)

Take the Port Liner monorail and get off at the next station, "K Computer Mae"

Osaka International Airport (about 90 min., JPY 1,330.-)

Take the Osaka Airport Limousine bus to "Sannomiya" (Kobe), and then take the Port Liner monorail to "K Computer Mae" station.

Kansai International Airport

Take the free bus from Kansai International Airport to board the High-Speed Ferry to Kobe Airport, and then take the Port Liner monorail to "K Computer Mae" station. (about 40 min., JPY 1,850.-)
Take the Osaka Airport Limousine bus to get "Sannomiya" (Kobe) and then take the Port Liner monorail to get the "K Computer Mae" station. (about 100 min., JPY 2,230.-)

Accommodation:

Below is a list of the hotels near the venue.

Please ask hotels directly for availability and rates.

Contact Us

For further information and help, please contact us.

Computational Materials Science Research Team,

RIKEN/AICS, Kobe, Hyogo 650-0047, Japan

e-mail: kobeworkshop2016gmail.com

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