Nikolaos Bouklas

Nikolaos Bouklas is an Associate Professor and Director of Graduate Studies for Theoretical and Applied Mechanics in the Department of Mechanical Engineering at Cornell University. His research focuses on theoretical and computational solid mechanics, with an emphasis on developing theoretical frameworks and advanced computational methods to improve the fundamental understanding of materials and structures. He is interested in the fundamental study of soft materials, active materials, and their applications in engineering. His work aims to enhance predictive capabilities for relevant engineering applications. His profile can be accessed at https://www.duffield.cornell.edu/people/nikolaos-bouklas/.

Nikolaos Bouklas is an Associate Professor at Cornell University and Director of the Pasteur Labs, specializing in computational mechanics and scientific machine learning. His research focuses on developing data-driven constitutive models for solids, integrating machine learning with physical principles to enhance predictive capabilities in materials science. He explores applications in hydrogels, polymer networks, and fracture mechanics, emphasizing the interplay between data and physics. His work includes finite element methods, probabilistic machine learning, and reduced order modeling to address complex phenomena such as swelling, diffusion, and damage mechanics. Bouklas' research bridges computational mechanics with machine learning to advance the understanding and design of smart materials.