
معرفی
Michael S. Dimitriyev serves as an Assistant Professor in the Department of Materials Science and Engineering within Texas A&M University's College of Engineering. His research bridges theoretical and computational approaches to advance fundamental understanding of soft matter systems, with particular expertise in polymer physics, nanoscale self-assembly, and mechanical metamaterials.
Education:
- Ph.D. in Physics, Georgia Institute of Technology, 2017
- M.S. in Physics, Georgia Institute of Technology, 2013
- B.A. in Physics and Mathematics, Boston University, 2011
Dr. Dimitriyev's research program centers on soft matter theory and computation with emphasis on geometry-based models. His work investigates polymer physics and nanoscale self-assembly, statistical mechanics of shape-morphing materials, nonlinear elasticity, buckling phenomena, and mechanical metamaterials. He explores how network structures in fiber networks and textiles create emergent macroscopic properties through entanglement, cross-linking, and topological constraints.
Analysis of his recent publications (2023-2025) reveals concentrated focus on knitted fabric mechanics, jamming transitions, and block copolymer self-assembly. Key trends include geometric modeling of polymer networks, statistical mechanics of soft materials, and development of textile-based metamaterials. Dominant subfields encompass medial packing in block copolymers, chirality effects in molecular structures, mechanical programming in knits, and nonaffine deformations in liquid networks.
Dr. Dimitriyev directs the Linked Soft Matter Lab which investigates three primary research thrusts: self-assembly of supramolecular networks, multistable shape-morphing soft composites, and fiber networks/textile metamaterials. The lab employs theoretical frameworks and computational methodologies emphasizing geometric modeling, statistical mechanics, and nonlinear elasticity to unravel complex material behaviors from molecular to macroscopic scales.
Michael S. Dimitriyev در سایتهای دیگر
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