AIMS Lab focuses on AI-driven materials science, utilizing self-developed machine learning models and high-throughput frameworks to accelerate the design of high-entropy alloys, amorphous metals, and 2D nanomaterials. We have built a full-stack intelligent platform integrating materials data mining and multifunctional prediction to shorten R&D cycles. Combining in-situ characterization and cross-scale validation, we ensure the reliability and manufacturability of designed materials, providing key theoretical and technical support for next-generation high-performance materials.

AIMS Lab專注於人工智能驅動的材料科學前沿研究。我們透過自主開發的機器學習模型與高通量計算框架，加速高熵合金、非晶合金及二維納米材料的設計與優化。實驗室構建了從材料數據挖掘到多功能性能預測的智能平台，顯著降低新材料研發週期。在此基礎上，我們結合原位表徵與跨尺度實驗驗證，確保通過算法設計的材料的可信性與可製造性。AIMS Lab 的研究不僅拓展了 AI 在材料科學中的應用邊界，也為下一代高性能合金與功能材料的定制化開發提供了理論與技術支撐。