KAWASAKI, Japan, Dec 1, 2025 - (JCN Newswire via SeaPRwire.com) - Fujitsu today announced the successful development of a technology for molecular dynamics (MD) simulation that enables atomic-level structural analysis of the solid electrolyte interphase (SEI) [1] formation process in all-solid-state batteries. This process, previously difficult to analyze, significantly impacts battery performance. Fujitsu achieved this breakthrough by developing a neural network potential (NNP) [2] training method using knowledge distillation [3], enabling stable, long-duration MD simulations. The newly developed technology can now rapidly and accurately reproduce the behavior of all-solid-state battery electrolyte membrane and electrode interface structures [4] with over 100,000 atoms for 10 nanoseconds, requiring only one week of computation.  The innovative nature of this technology has been recognized with the Electric Science and Technology Promotion Award for 2025 from The Promotion Foundation of Electrical Science and Engineering, which was awarded on November 25, 2025.By linking these technologies, Fujitsu aims to establish a new materials development workflow that accelerates materials development through AI and create new materials together with its customers.Fujitsu will add this technology into its materials chemistry calculation platform SCIGRESS and begin providing it to customers by March 2026.OverviewFujitsu developed a knowledge distillation technique (Figure 1) to precisely train NNPs with a faster multi-layer perceptron (MLP) [7] architecture. This is achieved by transferring knowledge from computationally slower, but knowledge-rich, GNN-based published NNPs. This approach allows MLP-based NNPs to leverage extensive published NNP knowledge and specialized material structure insights, enabling stable, high-speed, long-duration MD simulations for large-scale systems exceeding 100,000 atoms.Figure 1: Outline of the new technologyResultsWhen applied to a next-generation all-solid-state battery interface (127,296 atoms), Fujitsu confirmed stable, 10-nanosecond MD simulations in approximately one week (Figure 2(b)). This enabled structural analysis of the SEI, critical for battery performance and previously unachievable with existing MD simulations. SEI defines the charge-discharge cycle life and safety of all-solid-state batteries, and understanding its atomic-level formation and stability is crucial. This technology is expected to accelerate the development of a method to control SEI formation by elucidating its previously unknown atomic-level processes.Figure 2: NNP-MD simulation results for all-solid-state battery electrolyte membrane and anode interface system; (a) Example with 1,344 atoms: high-speed calculation achieved without interface structure collapse by applying the developed technology; (b) Example with 127,296 atoms: Stable 10-nanosecond MD simulation of over 100,000 atoms realized in one weekBackgroundNNP-based MD simulations have recently gained traction for rapidly and accurately simulating material properties at the atomic level. Published NNPs, trained on millions of diverse material data points, are increasingly utilized.However, material structure collapse during simulation has been an ongoing key challenge with published NNP-based MD simulations, especially for complex materials like all-solid-state batteries. Furthermore, many published NNPs, trained on extensive datasets, employ graph neural networks (GNNs) [6]. While expressive, GNNs are computationally slow, taking over a year for long-duration simulations of large-scale systems exceeding 100,000 atoms, rendering them impractical. This new technology attempts to address these challenges.[1] Solid electrolyte interphase (SEI):A very thin passive layer formed at the interface between the electrode and solid electrolyte in all-solid-state batteries. It is formed by the initial reaction between the electrode and electrolyte and the deposition of decomposition products during charge-discharge cycles. It requires high lithium-ion conductivity and electronic insulation. It significantly affects the charge-discharge cycle life and safety of batteries.[2] Neural network potential (NNP):A model that constructs a function (potential) representing interatomic interactions using a neural network, a type of machine learning. By learning high-precision calculation results from first-principles calculations (e.g., DFT), it can calculate atomic energies and forces for large atomic systems with accuracy close to first-principles calculations, but at a much higher speed.[3] Knowledge distillation:A model training technique in machine learning. It transfers knowledge from a large, complex model (teacher model) to a more compact and faster model (student model). By learning the output (soft targets) of the teacher model, the student model can improve computational efficiency while maintaining the teacher model's performance.[4] Interface structure:In physics and chemistry, this refers to the arrangement of atoms and molecules, electronic states, and interactions in the boundary region where two different phases (e.g., solid and solid, liquid and solid) meet. In batteries, it refers to the microscopic structure of the region where the electrode and electrolyte are in contact.[5] Graph neural network (GNN):A neural network that directly processes graph-structured data (composed of nodes and edges). It learns node features and edge relationships, demonstrating high expressiveness in analyzing data with graph structures, such as materials and molecules.[6] Multi-layer perceptron (MLP):One of the most basic neural network structures. It consists of an input layer, hidden layers, and an output layer, where each layer combines the outputs of the previous layer and propagates them to the next.Fujitsu's Commitment to the Sustainable Development Goals (SDGs)The Sustainable Development Goals (SDGs) adopted by the United Nations in 2015 represent a set of common goals to be achieved worldwide by 2030.Fujitsu’s purpose - "to make the world more sustainable by building trust in society through innovation" - is a promise to contribute to the vision of a better future empowered by the SDGs.About FujitsuFujitsu's purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers around the globe, our 113,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: AI, Computing, Networks, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.6 trillion yen (US$23 billion) for the fiscal year ended March 31, 2025 and remains the top digital services company in Japan by market share. Find out more: global.fujitsuPress ContactsFujitsu LimitedPublic and Investor Relations DivisionInquiries Copyright 2025 JCN Newswire via SeaPRwire.com. All rights reserved. www.jcnnewswire.com

KAWASAKI, Japan, Dec 1, 2025 - (JCN Newswire via SeaPRwire.com) - Fujitsu Limited today announced the development of a multi-AI agent collaboration technology that enables secure collaboration and swift response to changing circumstances among AI agents from different companies and vendors within a supply chain. Leveraging this technology, Fujitsu will start field trials in January 2026 to optimize the supply chain of Rohto Pharmaceutical Co., Ltd. in collaboration with the Institute of Science Tokyo (Science Tokyo). This innovation not only streamlines daily supply chain operations but also facilitates rapid recovery during emergencies like sudden demand shifts or disasters.In addition, Fujitsu will contribute to the new industry promotion activities of the Council on Competitiveness-Nippon (COCN) to realize AI spaces that enable secure data and AI collaboration across different companies, aiming to strengthen the competitiveness of Japanese industry through agentic AI.Fujitsu will continue to advance demonstration and technological enhancement with Science Tokyo and Rohto Pharmaceutical, aiming for expansion into diverse industries, including manufacturing. Fujitsu will also develop technology for broader and more complex supply chains, targeting provision through its Uvance business model’s Dynamic Supply Chain services by the end of fiscal 2026. This will bring a new perspective to corporate supply chain strategies, enhancing resilience, and enabling sustainable business operations.Under its Uvance business model, Fujitsu will leverage the technology developed in these trials to realize secure data collaboration through AI agent cooperation across borders and industries. This will drive resilient supply chains and sustainable industrial growth, ensuring reliability and governance in multi-vendor environments.Katsuki Fujisawa, Professor, Digital Twin Research Unit, Institute of Integrated Research, and Department of Mathematical and Computing Science, School of Computing, Science Tokyo, comments:“Science Tokyo is actively promoting Cyber-Physical Systems (CPS) research and working to improve efficiency across the entire industrial value chain. Moving forward, by collaborating with Fujitsu's agentic AI technology to optimize the entire supply chain, we aim to contribute to the advancement of industry and the resolution of societal challenges.”Technology for multi-AI agent collaborationFigure 1: Multi-AI agent collaboration  The new technology features two key components:1. Global optimal control for AI agents under incomplete information- Enables effective collaboration between AI agents from different companies without the need for disclosure of sensitive data, which is typically required for inter-company AI agent coordination- A proposing AI agent approximates characteristics of other agents through suggestion and answer exchanges (negotiation-based approach developed by Fujitsu); based on these approximations, the proposing agent identifies the optimal overall state for the entire supply chain2. Fujitsu secure inter-agent gateway- Gateway built upon distributed AI learning technology and AI agent communication guardrail technology that enables seamless and secure collaboration among AI agents from different companies and vendors, while protecting confidential and private corporate information.- During setup, the technology allows AI agents to learn supply chain characteristics and optimize their operations without direct sharing of sensitive data by leveraging knowledge distillation, a technique in deep learning to transfer knowledge from a “teacher model” to a “student model.” In our approach, knowledge is drawn from multiple teacher models, and pairing is dynamically determined based on past performance and reliability- In operation, this technology, based on Fujitsu’s LLM guardrail expertise, detects malicious queries and prevents the inference of confidential information; it secures communication by repeatedly simulating AI agent behavior and responses, updating and providing information in a safe, non-inferable format Figure 2: Outline of the new technology About the field trialsCombining Science Tokyo’s AI agent technology with its own multi-AI agent collaboration technology, Fujitsu, in collaboration with Rohto Pharmaceutical, conducted initial field trials on a virtual supply chain to optimize logistics routes and schedules, confirming a potential reduction of up to 30% in transportation costs. From January 2026 to March 2027, Fujitsu will conduct more practical and large-scale trials, simulating real-world conditions using Rohto Pharmaceutical's supply chain.Fujitsu’s Commitment to the Sustainable Development Goals (SDGs)The Sustainable Development Goals (SDGs) adopted by the United Nations in 2015 represent a set of common goals to be achieved worldwide by 2030.Fujitsu’s purpose - "to make the world more sustainable by building trust in society through innovation" - is a promise to contribute to the vision of a better future empowered by the SDGs.About FujitsuFujitsu’s purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers around the globe, our 113,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: AI, Computing, Networks, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.6 trillion yen (US$23 billion) for the fiscal year ended March 31, 2025 and remains the top digital services company in Japan by market share. Find out more: global.fujitsuPress ContactsFujitsu LimitedPublic and Investor Relations DivisionInquiries  Copyright 2025 JCN Newswire via SeaPRwire.com. All rights reserved. www.jcnnewswire.com

KAWASAKI, Japan, Dec 1, 2025 - (JCN Newswire via SeaPRwire.com) - Fujitsu today announced the launch of "Fujitsu Accelerator Program for SPORTS," a global partner co-creation program aimed at fostering new innovation in the sports sector.Through Fujitsu Accelerator, Fujitsu collaborates with startups and other companies to create new businesses and solve challenges by leveraging cutting-edge technologies such as AI and quantum computing. This new program seeks to expand the value and monetization potential of corporate sports. It will achieve this by combining the strengths of Fujitsu's sports teams and athletes—including its American football, women's basketball, and track and field teams—and facilities, with the innovative technologies and ideas of partner companies. Through co-creation, the program aims to generate new value in sports and related fields such as entertainment, tourism, and merchandise and build a corporate sports ecosystem.Fujitsu will begin recruiting new partners who want to engage in new business creation from December 1. Selected companies will be determined after a pitch event scheduled for February 2026. Proof of Concept (PoC) initiatives are planned to commence from fiscal year 2026.Through various collaborations facilitated by this program, Fujitsu will continue to promote "improving people's well-being," one of the indispensable contribution areas of its materiality. In addition to promoting sports through its long-standing support for various teams and athletes, Fujitsu will further accelerate collaboration with local communities and encourage employee engagement.Application Themes1. Athlete and Team EnhancementMeasures to improve athlete performance and results (e.g., training support, mental health support, etc.)Data analysis and collection for team sports2. Well-BeingHealth promotion initiatives targeting a wide range of people, from athletes to general participants and local residentsEfforts to improve exercise habits and encouragement to start an exercise regimen3. Fan Engagement EnhancementMeasures to enhance the appeal of corporate sports teams and athletes, and to attract fansMerchandise sales utilizing team IP, improved viewing experiences, and digital fan-participation projects4. Regional RevitalizationRevitalization of areas around home arenas and grounds. Business planning in collaboration with local communities (local governments, educational institutions, shopping districts, etc.)Tourism planning, especially initiatives linked to the Kawasaki area5. Social InclusionAccess to sports for all demographics (para-sports, adaptive sports), sports experiences for elementary and junior high school students, and club activity support6. Operations and Business FoundationSports management platforms, corporate sports revenue models, event management, sponsor visibility, DX planning for venues, and athlete second career supportFujitsu's Sports TeamsFujitsu manages many sports teams including its American football team "Fujitsu Frontiers," the women's basketball team "Fujitsu Red Wave," and the track and field team. These teams have produced top athletes who aim for national and world championships. Athletes work as full-time employees of Fujitsu while engaging in their athletic activities, embodying the company's values and social mission through sports.1. Fujitsu Frontiers (American Football Team):Eight-time X-League champions, aiming for an unprecedented ninth title.2. Fujitsu Red Wave (Women's Basketball Team):Achieved their second W-League championship in 16 years in 2023. A top team that values player autonomy.3. Track and Field Team:A top-level team that has produced world, Asian, and Japanese record holders. Athletes excel in a wide range of events, including race walking, marathon, and sprints.4. Other Sports Teams:In addition to the above, Fujitsu also has various other sports teams, including in women’s cheerleading, men's basketball and volleyball, 9-man volleyball, swimming, horseback riding, and golf.Upcoming Schedule (Tentative):February 6, 2026: Application deadlineFebruary 26, 2026: Pitch eventMarch 2026: Selection of adopted companiesApril 2026: Start of PoCsCompanies selected to participate in this program will be provided with opportunities to interview and survey athletes and staff belonging to Fujitsu's sports teams. Fujitsu will offer its training facilities for the PoCs, support the development of use cases, and promote and sell co-created services through the Fujitsu Group.Fujitsu’s Commitment to the Sustainable Development Goals (SDGs)The Sustainable Development Goals (SDGs) adopted by the United Nations in 2015 represent a set of common goals to be achieved worldwide by 2030.Fujitsu’s purpose - "to make the world more sustainable by building trust in society through innovation" - is a promise to contribute to the vision of a better future empowered by the SDGs.About FujitsuFujitsu’s purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers around the globe, our 113,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: AI, Computing, Networks, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.6 trillion yen (US$23 billion) for the fiscal year ended March 31, 2025 and remains the top digital services company in Japan by market share. Find out more: global.fujitsuPress ContactsFujitsu LimitedPublic and Investor Relations DivisionInquiries  Copyright 2025 JCN Newswire via SeaPRwire.com. All rights reserved. www.jcnnewswire.com