Contact: syadaval@umich.edu. Multi-material, multi-process, multi-component structural topology optimization (M^3 TO). Reliability and productivity. Abhilash Rao - Mechanical Engineer 3 - Lam Research | LinkedIn Experienced in computational physics, data analysis, machine . These blend novel methods and theory with fundamental experiments in linear and nonlinear dynamics from macro to nano-scale. SAE Mobilus Includes access to SAE Technical Papers, SAE E-Books, and SAE Standards. Research Interests: Mechanical behavior of materials; micromechanical modeling; in situ/in operando characterization including X-ray imaging and diffraction; functional materials; lightweight structural metals; shape memory alloys; phase transformations; energy conversion. Research Interests: Dynamical systems, smart materials, metamaterials, phononic crystals, electromechanical systems, energy harvesting, mechanical vibrations, wave propagation, Research Interests: Fluid mechanics, reduced-complexity modeling, data-driven modeling, flow control, aeroacoustics. The program provides opportunities for students to assess their interests and potential in pursuing research at the Masters or Ph.D. level in graduate school. Office Phone: (734) 936-0406 FAX: (734) 615-6647 Brief Biography I graduated in Mechanical Sciences from the University of Cambridge in 1963 and joined British Rail, who later sponsored my research at Cambridge between 1965 and 1968 on the subject of thermal effects in braking systems. Research Interests: Computational mechanics; finite element methods; structural dynamics; flexible multibody dynamics; dynamic response of composites; vehicle dynamics; engineering mechanics education. Research Interests: Applications: Energy storage (e.g., hydrogen, thermal, natural gas), battery (e.g., electrolytes, manufacturing); Materials: Nanoporous materials (e.g., metal organic frameworks, covalent organic frameworks), metal oxides, metal hydrides, energetic materials, small molecules, nanoporous composites; Methods: Applied machine learning & AI, Ab initio & density functional theory (DFT), Monte Carlo & molecular dynamics, high-throughput computing, materials by design; Developments: Methods for interpretable machine learning, algorithm for predicting thermophysical properties of chemical compounds. Design of manufacturing and service systems. Research Interests: Fluid mechanics with emphasis on experimental methods, multiphase flows, high Reynolds number flows, cavitation and bubbly flows, optical flow measurement methods, electrical and radiation based tomography.
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