Mat3ra Japan to Exhibit and Present at the 73rd JSAP Spring 2026, Tokyo

Announcement of presentations and exhibits at the 73rd JSAP Spring 2026, Tokyo

Mat3ra Japan K.K. will be exhibiting at the 73rd JSAP Spring 2026, which will be held from March 15th to March 18th, 2026, in Tokyo, Japan. Jean-Dominique Francois, Director of Mat3ra Japan will be giving oral presentations at the company’s booth. Please see below for details.

‍Exhibition and booth information‍

Exhibition period: March 15th - March 18th, 2026
Location: Ookayama Campus, Institute of Science Tokyo

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About the 73rd JSAP Spring 2026: 

The 2026 Spring edition of the Japan Society of Applied Physics Meeting (JSAP), one of the largest academic conferences in the field of applied physics, will gather experts of both industry and academia to share and discuss the latest advancements of applied physics through contributed presentations, joint sessions and invited presentations in symposia on specific themes. With approximately 12,000 researchers and engineers from universities, public research institutes and industry, the program features more than 3,500 cutting-edge presentations providing an exceptional forum for academic exchange and industry-academia collaboration. 

For more information and registration please follow this link: https://meeting.jsap.or.jp/english

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Presentation Information

From Lab to Cloud: Open-Access Collaborative Infrastructure for Translating Academic Software into Intuitive Scalable Applications.

Academic research routinely generates powerful tools and methods for materials modeling, yet these often remain underutilized due to barriers in usability, reproducibility, and scalability. At Mat3ra.com, we are building an open-access, modular ecosystem that bridges this gap by integrating academic software developments into a scalable, cloud-native platform. Our architecture promotes FAIR data practices, supports community-driven data standards, and invites contributions through interoperable, open-source components. This framework allows researchers to publish applications and related high-level workflows that are usable by broader scientific and industrial communities, while also enabling sustainable pathways for commercialization. Through use cases involving density functional theory, molecular dynamics, and related machine learning methods, we will explain how academic innovations can be deployed at scale—supporting a global community with over 100,000 contributions to date ranging from simulations results to materials structures. We will focus on software engineering practices, data management and community development during this presentation.

We will also introduce our Self-Driving Laboratory use case (Electron Microscopy) that illustrates the Connecting Experiment and Theory paradigm in materials research. This scientific workflow leverages machine learning to extract atomic features from Scanning Transmission Electron Microscopy (STEM) imaging, integrates ML outputs into high-throughput theoretical simulations, and closes the loop by using computational insights to refine experimental conditions and accelerate discovery. In particular, we demonstrate how a 3D reconstruction from a set of 2D STEM images is performed using physics-based models, with feedback to experimental beam positioning and setup.

‍Mat3ra.com is an open-access, cloud-native platform that bridges academic research and commercial applications in materials science. It combines physics-based (DFT, MD) and AI/ML-driven workflows with intuitive user interface, collaborative data management practices, and scalable cloud HPC enabling the adoption of state-of-the-art digital techniques by broader scientific communities. Versed in open standards and modular architecture, Mat3ra.com enables contributions from and offers pathways for accelerated adoption of academic software for industrial and public-sector deployment.

Learn more at mat3ra.com, try the platform at https://platform.mat3ra.com/register.

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