Overview

Join us for the upcoming workshop on

 “Material Science: Modeling & Design in Action”

 This workshop will bring together leading experts and researchers to discuss the latest advances in computational and experimental approaches for material design. The event will focus on real-world applications, highlighting innovative methodologies and emerging trends in the field. Topics will include machine learning, generative AI, computational methods such as DFT, thermodynamic modeling (CALPHAD), multiscale modeling, high-throughput characterization, and materials design for structure-property relationships.

 📅 Date: Wednesday, May 21 (13:30) – Thursday, May 22 (12:00)

📍 Location: NIMS Auditorium, Namiki Site, Tsukuba, Japan

Registration is free but mandatory (includes meals and the banquet on the evening of May 21). Participants are encouraged to submit titles for oral or poster contributions.

👉 Register now on the dedicated page! (deadline April 27th)

We look forward to insightful discussions and exciting collaborations!

Local contacts: J-C. Crivello (jean-claude.crivello _at_ cnrs.fr), G. Lambard (NIMS), T. Abe (NIMS)

https://link.cnrs.fr/

 

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Confirmed Speakers

Tetsuo Mohri (IMR) : Constraints on a free energy in a discrete lattice

Helena Zapolsky (GPM - Rouen) : Multiscale modelling of alloy microstructure using the phase field model

Ryo Tamura (NIMS) : Autonomous automated materials explorations using NIMO

Ying Chen (Tohuku University) : Properties prediction of high-entropy alloys through DFT and machine learning with data augmentation

Taichi Abe (NIMS) : Ordered structures with weak long range order

Wenhao Zhang (NIMS) : Thermodynamic Modeling of the 𝝈 phase based on Density Functional Theory and Graph Neural Network

Sebastien Junier (LINK) : Screening new Entropy Stabilized Oxides by DFT calculations and active learning

Jean-Marc Joubert (ICMPE) : Site occupancies in the TCP phases including the most complex ones

Thomas Hammerschmidt (ICAMS) : Simple relation from interatomic interactions to phase diagram perturbation

Mariano Forti (ICAMS) : Machine learning relative stability of complex intermetallic phases

Arkapol Saengdeejing (NIMS) : Thermodynamic Modeling based on Neural Network Potential

Tsuyoshi Miyazaki (NIMS) : Large-scale DFT simulations of complex materials using CONQUEST

Guillaume Lambard (NIMS) : Machine learning in Materials Sciences

Masahiko Demura (NIMS) : Inverse design for structural materials with MInt and AI

Runan Xie (SIMAP) : Machine learning prediction of the enthalpy of mixing of BCC, FCC and HCP solid solutions

 

 

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Venue & Logistics

Location

Auditorium of MANA - NIMS (National Institute for Materials Science)
Namiki site:
1-1 Namiki, Tsukuba, Ibaraki, 305-0044 JAPAN

https://www.nims.go.jp/eng/access/tsukuba_namiki.html


Access from Tokyo

From central Tokyo, the Tsukuba Express (TX) train can be taken from Akihabara Station to Tsukuba Station (approximately 45 minutes).

From Tsukuba Station, you can reach the NIMS campus either by taxi or by using the free NIMS shuttle bus, which operates every 20 minutes.

Additional details :

https://www.nims.go.jp/eng/access/nims-bus.html

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Accommodations

A list of recommended hotels is provided below:

 

  • Hotel Nikko Tsukuba – Conveniently located in front of the Tsukuba TX station.

  • Tsukuba Daily Inn – Located very close to the Namiki NIMS Campus.

  • Hotel JAL City Tsukuba – A comfortable option with easy access to key locations in the city.

 

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