2025 AIChE Annual Meeting発表および出展のお知らせ

Matlantis株式会社は2025年11月2日～11月6日（アメリカ東部標準時）に開催される「2025 AIChE Annual Meeting」に出展いたします。MatlantisからはUSオフィスのJoshua Youngが口頭発表を行う他、ブース出展もいたします。またこの他にも社外の組織からMatlantisに関連して発表がございます。内容は以下ご参照ください。

ブース出展情報

展示期間 : 2025年11月2日～11月4日（アメリカ東部標準時）
開催場所 : Exhibit Hall D at the Hynes Convention Center
ブース : 319

プレゼンテーション詳細

発表タイトル: Hydrogen Adsorption and Membrane Separation Performance in Amorphous Pd-Based Alloys Using a Universal Machine Learning Interatomic Potential

日時: 2025年11月5日 10:23 AM – 10:36 AM（アメリカ東部標準時）
部門: Computational Molecular Science and Engineering Forum
ルーム: Hynes Convention Center, 210
セッションタイプ: 口頭
発表者: Joshua Young
著者: Taku Watanabe, Akihiro Nagoya, Joshua Young, Qing-Jie Li
概要: Membrane materials for highly efficient separation and purification of hydrogen are attracting attention for the realization of a sustainable energy society. In particular, Pd-based materials exhibit high permeability and selectivity as hydrogen separation membranes, but conventional crystalline Pd membranes have issues such as reduced lifespan due to hydrogen embrittlement and high costs. On the other hand, amorphous alloys, with their diverse local structures, are considered to be materials that can overcome some of the challenges of crystalline materials, and experimental and theoretical reports have shown the possibility of high hydrogen permeation performance and improved durability. However, their performance is highly dependent on composition, and there are many unresolved issues regarding the microscopic hydrogen permeation mechanisms and performance expression mechanisms.

In this study, we aim to understand the hydrogen adsorption mechanism and membrane separation performance in amorphous alloys at the molecular level using our universal machine learning interatomic potential, Preferred Potential (PFP), on a cloud service called Matlantis, and to obtain design guidelines leading to high performance.

Joshua Young
Senior Application Scientist, Matlantis Inc (USA).
Joshua received his PhD in Materials Science and Engineering from Drexel University, followed by appointments at the Naval Research Laboratory, Binghamton University, and the New Jersey Institute of Technology. Over the course of his career, he has used a wide variety of computational techniques, including density functional theory, molecular dynamics, and materials informatics/machine learning, to study and design materials for electronics, batteries, catalysis, and more.

Matlantisに関する社外の講演

発表タイトル: Pfp/MM: A Universal Neural Network Potential Meets Classical Force Fields for Large-Scale Reactive Simulations
日時: 2025年11月3日 4:30 PM – 4:42 PM（アメリカ東部標準時）
部門: Computational Molecular Science and Engineering Forum
ルーム: 209 (Second Level, Hynes Convention Center)
セッションタイプ: 口頭
発表者: Yu Miyazaki
著者: Yu Miyazaki, Atsuhiro Tomita, Hodaka Mori, Akihide Hayashi, Mizuki Takemoto
組織: Preferred Networks, inc.

学会公式情報はこちら (外部サイト) >> 2025 AIChE Annual Meeting