Arthi Jayaraman

Arthi Jayaraman is a full professor at the University of Delaware, holding dual appointments in the Departments of Chemical & Biomolecular Engineering and Materials Science and Engineering. She directs an NSF-funded NRT traineeship program on computing and data science for materials innovation. Her research focuses on computational design of soft materials using machine learning, polymer physics, and molecular simulations.

Education: Ph.D. in Chemical Engineering from North Carolina State University (2000s), postdoctoral research at University of Illinois-Urbana Champaign in Materials Science and Engineering. Her work integrates AI with experimental techniques to solve challenges in materials characterization and industrial applications.

Research interests include ML-driven analysis of materials data, polymer composites design, and bioinspired materials. Key projects involve developing algorithms like CREASE (Computational Reverse-Engineering Analysis for Scattering Experiments) to interpret nanoparticle structures. She has pioneered methods for predicting phase behavior in polymer blends and nanocomposites.

Her awards span ACS PMSE Fellowship (2025), APS Fellow (2020), AIChE IMPACT Award (2021), and DOE Early Career Award (2010). Over 100 peer-reviewed publications address topics like polymer solution structures, nanoparticle self-assembly, and collagen-mimetic materials.

Leadership includes advising graduate students through the NRT program, collaborating with industry on material design problems, and serving as an editorial board member for ACS journals. Her lab employs multiscale modeling strategies to bridge molecular-scale phenomena with macroscale material properties.