AI for Manufacturing
Our manufacturing research leverages advanced AI-driven approaches to revolutionize the next-generation manufacturing systems. By combining experimental testing, finite element modeling, machine learning-based surrogate modeling, generative design, and process optimization, we enable the development of advanced manufacturing processes across additive manufacturing, battery manufacturing, and semiconductor manufacturing. Our work spans from material development to process optimization, addressing different industrial applications.Learn more→
AI for Energy Storage
Our energy storage research focuses on design, optimization, and lifecycle assessment of next-generation energy storage systems via AI-driven approaches. By combining experimental testing, physics-based modeling, physics-informed machine learning, and generative design, we drive significant improvements in efficiency, performance, reliability, and sustainability. Our work spans the entire spectrum, from the chemistry within individual cells to pack-level thermal management, addressing applications in electric vehicles, grid-scale storage, and portable electronics.Learn more→
AI for Data Center HVAC
Our data center HVAC research leverages advanced AI-driven approaches combined with physics-based modeling to revolutionize the design, optimization, and control of next-generation cooling systems for data center. By integrating experimental testing, finite element modeling, machine learning-based surrogate modeling, and physics-informed optimization, we enable the development of intelligent HVAC systems that maximize energy efficiency while ensuring optimal thermal performance for data center operations and chip-level cooling applications.Learn more→
AI for More Engineering Applications
We are open to discussion and collaboration to solve real-world engineering problems across diverse domains. Our research team leverages advanced AI-driven approaches, physics-based modeling, and optimization techniques to address complex challenges in various engineering applications. If you have a challenging engineering problem that could benefit from our expertise in machine learning, generative design, physics-informed modeling, or process optimization, we welcome opportunities for collaboration and discussion.Learn more→