Showcase

公司名稱 Company Name

MattVerse Limited

公司網站 Company Website 

公司簡介 Company Background
MattVerse 構建了面向新能源產業的電池設計自動化平臺 BDA,融合 AI、量子化學與多尺度建模等前沿技術,實現從材料發現到電芯設計與壽命預測的全流程數字化。新一代 BDA 2.0 支援用戶通過自然語言輸入,即可驅動智能體自動調用數據、工具與模型,完成材料設計、結構優化與性能預測等複雜任務。
MattVerse has developed the Battery Design Automation (BDA) platform tailored for the new energy industry. By integrating AI, quantum chemistry, and multi-scale modeling, BDA enables end-to-end digitalization across materials discovery, cell design, and battery management system application. The platform has already been adopted by leading industry players to enhance R&D efficiency and product performance. To further enhance intelligence and user autonomy, BDA is evolving from expert-packaged, function-specific solutions to an autonomous multi-agent orchestration platform. The next-generation BDA 2.0 allows users to solve complex tasks — such as material design, structural optimization, and performance prediction — simply by describing their needs in natural language, with agents automatically invoking the appropriate data, tools, and models.
陳列產品之簡介 Description of displayed product
軟件演示:1) 材料發現模塊:AI和量子化學相結合加速新型正負極材料與電解質的發現。2) 電池設計模塊:智能網格生成和機器學習技術,加速多變量有限元方程的求解,模擬電池實際性能。3) 電池管理(BMS)應用模塊:結合數據驅動方法和物理模型,用數次充放電數據就能判斷出電芯內部的老化情況。
The BDA platform delivers a digital solution that spans the entire industry chain. The platform comprises three core modules: 1) Material Discovery Module: Integrates artificial intelligence (AI) with quantum chemistry to accelerate the discovery of novel positive, negative, and electrolyte materials. This module delivers high-efficiency and high-accuracy computational tools for rapid material screening and property prediction.2) AI-assisted Cell Design Module: Leverages intelligent mesh generation and machine learning techniques to expedite the solution of multi-variable finite element equations. It enables accurate simulation of real-world lithium-ion battery performance under diverse operating conditions.3) Battery Management System Application Module: Combines data-driven approaches with physics-based models to non-invasively assess internal cell degradation. Using only a few charge–discharge cycles, this module can reliably diagnose aging mechanisms within battery cells without causing damage.These components collectively establish a battery “digital passport” protocol, enabling cross-industry-chain forward and reverse co-design of materials and devices.
公司產品 Company products