dynamics of large-scale molecular machines, working to identify the physical principles that guide biomolecular dynamics, using molecular simulation approaches to interpret experimental data from a wide range of techniques, including biochemical, small-angle X-ray scattering and cryogenic electron microscopy
interpretable AI, IoT, computer simulation, data integrity and big data analytics, data-driven stochastic optimization, blockchain design and development for complex end-to-end cyber-physical system learning and risk management with applications, including biopharmaceutical manufacturing and supply chains, smart power grids with renewable energy, and health care
Air quality; atmospheric chemistry; cloud/aerosol microphysics; sensitivity and uncertainty analysis; multiscale atmospheric modeling and forecasting; climate and Earth system modeling; health impact assessment; eco-environmental sustainability; human-Earth system interactions
Advanced manufacturing; Multifunctional bio-inspired material from nature; Sustainable energy storage; Nano/micro fabrication of devices and materials; Bendable, implantable and biocompatible electronics; Application of sustainable biomaterial, like the cellulose, hemicelluloses and lignin, in life science. Zhu Lab’s research interests include sustainable energy storage, multifunctional materials, and advanced manufacturing. In focusing on sustainable energy storage, biodegradable materials, and manufacturing, Zhu Lab’s objective is to better address the needs of society by linking nature with people through technology. Their work has made strides in identifying sustainable natural materials to develop multifunctional materials and advanced devices for future technologies to reduce our dependence on petroleum.