Japan-China Joint Symposium on Computational Material Sciences and Monte Carlo Methods 2022

Homepage: https://www.smartchair.jp/hp/JCMC2022       1 - 2 December, 2022     Tsukuba, Japan (online)  

STAM young scientist award

Congratulations!

WINNERS DECIDED

Mr. Xun Liu
(National Institute for Materials Science)
“Prediction of electron inelastic mean free paths for inorganic compounds with a machine learning approach”
Ms. Qirong Zheng
(Key Laboratory of Materials Physics, Institute of Solid State Physics, HFIPS, Chinese Academy of Sciences)
“Multiscale Dynamic Modeling of Displacement Damage in Metal under Neutron Irradiation”
Ms.  Jiamin Gong
(University of Science and Technology of China)
“A Theoretical Characterization Method for Non-spherical Core-Shell Nanoparticles by XPS”

 

About STAM young scientist award

The STAM young scientist Awards are designed to encourage students to present their work. The award will be given to a limited number (around 3) of students. The STAM young scientist Award is automatically opened for all students registered. If you do not want it, please note it when you register at "Others" box.  After all presentations, the committee will hold a vote around all invited speakers to decide the winners of STAM young scientist award. The program committee will announce the winners on the website prior to the symposium. Those winners will receive a certificate from Science and Technology of Advanced Materials (STAM) publishes and an APC free coupon in STAM journal or STAM method journal as a supplementary prize.

National Institute for Materials Science (Japan) and Taylor & Francis publisher (UK) established the following two journals. 

Science and Technology of Advanced Materials Science and Technology of Advanced Materials (STAM) is a leading open access, international journal for outstanding research articles across all aspects of materials science. Our audience is the international community across the disciplines of materials science, physics, chemistry, biology as well as engineering.

Science and Technology of Advanced Materials: Methods Science and Technology of Advanced Materials: Methods (STAM Methods (STAM-M)) publishes research on emergent methods and tools to improve and/or accelerate materials developments, such as methodology, modeling, high-throughput experimentation, materials informatics (MI), process informatics (PI) , artificial intelligence (AI), and databases.

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