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Hynes Convention Center2025.11.2-6 (USA)

Announcement of presentations and exhibits at the 2025 AIChE Annual Meeting

Matlantis Corporation will be exhibiting at the 2025 AIChE Annual Meeting, which will be held from November 2nd to November 6th, 2025 (US Eastern Standard Time). Joshua Young from Matlantis' US office will be giving an oral presentation, and the company will also have a booth. There will also be presentations related to Matlantis from external organizations. Please see below for details.

Exhibition and booth information

Exhibition period: November 2nd - November 4th, 2025 (US Eastern Standard Time)
Location: Exhibit Hall D at the Hynes Convention Center
Booth: 319

Presentation Information

Presentation title: Hydrogen Adsorption and Membrane Separation Performance in Amorphous Pd-Based Alloys Using a Universal Machine Learning Interatomic Potential

Date and Time: November 5, 2025, 10:23 AM – 10:36 AM (EST)
Division: Computational Molecular Science and Engineering Forum
Room: Hynes Convention Center, 210
Session Type: Oral
Presenter: Joshua Young
Authors: Taku Watanabe, Akihiro Nagoya, Joshua Young, Qing-Jie Li
Overview: Membrane materials for highly 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 efficient 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.

image_presentation

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.

presenter

External Collaborators’ Presentation

Presentation Title: Pfp/MM: A Universal Neural Network Potential Meets Classical Force Fields for Large-Scale Reactive Simulations
Date and Time: November 3, 2025, 4:30 PM – 4:42 PM (Eastern Standard Time)
Division: Computational Molecular Science and Engineering Forum
Room: 209 (Second Level, Hynes Convention Center)
Session Type: Oral
Speaker: Yu Miyazaki
Authors: Yu Miyazaki, Atsuhiro Tomita, Hodaka Mori, Akihide Hayashi, Mizuki Takemoto
Organization: Preferred Networks, inc.

For official information about the conference, please click here (external site) >> 2025 AIChE Annual Meeting

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