Nanomaterials


The properties of most materials, such as their ability to emit light or bind to specific molecules, change dramatically when they are shrunk from the macro-scale down to the nano-scale (1 nanometer = 1 billionth of a meter). Sometimes, we can even stabilize materials at the nanoscale in structures that cannot be formed in larger “bulk” samples. Here at UF, we create nanomaterials with unique structures and properties that allow us to engineer new solutions to current challenges in biomedicine, electronics, energy storage, and catalysis.

Faculty

Photo of Assel Aitkaliyeva Assel Aitkaliyeva Associate Professor
(352) 846-3778

Ph.D., 2012, Texas A&M University

Research Interests: Nuclear Fuels and Materials, with emphasis on characterization and property evaluation; Mechanical and Thermal properties of materials; Reactor Irradiation; Radiation damage in materials; Ion Implantation; Kinetics; Composites; Nanostructured materials; Multi-Scale simulation of nuclear fuel.

Lab Website: MAterials for Nuclear Advancement and Technology in Extreme Environments (MANATEE) Group

Photo of Jennifer S. Andrew Jennifer Andrew Associate Dean for Research at Herbert Wertheim College of Engineering
(352) 846-3345

Ph.D., 2008, University of California, Santa Barbara

Research Interests: nanomaterials, nanocomposites for electronic and biomedical applications, magnetic materials, multiferroics, polymers

Lab Website: Andrew Research Group

Photo of Yijia Gu Yijia Gu Assistant Professor
352-273-0292

 

Education: Ph.D. 2014, Pennsylvania State University

Research Interest: Computational materials, CALPHAD, Phase-field method, Machine learning, Ferroelectric materials, Physical metallurgy, Recycling aluminum, Additive manufacturing, Microstructure evolution, Rapid solidification, Phase transformation

Photo of Richard Hennig Richard Hennig Professor, Alumni Professor of Materials Science & Engineering
(352) 392-7327

 

Education: Ph.D., 2000, Washington University in St. Louis

Research interests: AI-driven and ab-initio materials science; deep learning and generative models for materials prediction and inverse design; interpretable machine-learning force fields; quantum and superconducting materials; molecular magnetic qubits and spin coherence; electronic-structure and phonon-based modeling of electron–phonon coupling; electrochemical and solid–liquid interfaces; and open computational frameworks linking predictive AI, first-principles simulation, and experiment.…

Photo of Sam Navarro Sam Navarro Assistant Professor
(352) 846-3318

Ph.D., 2020, University of Michigan

Research Interests: Polymer Synthesis, Hydrogels, Drug Delivery, Bioprinting, Tissue Engineering and Regenerative Medicine