Leverage AI-integrated molecular dynamics simulations to predict macroscale behaviors from atomic interactions, offering precise predictions in film formation, viscosity changes, and substrate adhesion.
Our innovative solution combines molecular dynamics (MD) simulations with artificial intelligence (AI) to predict macroscale behaviors from microscale atomic interactions. This approach overcomes traditional modeling limitations by analyzing large datasets to establish connections between atomic parameters and macroscale outcomes. It enables precise predictions of film formation, viscosity changes, and substrate adhesion, accelerating the discovery of innovative solutions across industries.
Key features:
Currently at TRL 5, the technology is at the stage of validation in a relevant environment. We seek partners for resource provision, funding, and domain expertise to advance this project further.
Lawrence Technological University is a private STEM- and design-focused university of a few thousand students with a hands-on, industry-centric culture. Based in Southfield within the Detroit metro manufacturing and mobility hub, LTU connects companies to faculty expertise, student talent, and shared prototyping spaces for rapid development. A structured co-op and internship model, plus professional studios and capstone collaborations, streamlines applied engagements and recruiting. Research is supported by competitive federal and state funding, including National Science Foundation awards and industry contracts. A dedicated technology transfer office supports IP strategy, prototyping, supplier introductions, and commercialization.