Faculty

Research in scientific computation, machine learning, statistical mechanics, soft materials, biophysics.

We are interested in the design, synthesis, characterization, and application of new soft materials.

Multiscale modeling of mechanisms and microstructure/property relations in high performance alloys, hcp metals, and nanostructured materials.

Quantum sensing and imaging

Quantum dot lasers, silicon photonics, optoelectronics, and the development of novel low power optoelectronic devices for the next generation of optical networks.

Our group studies organic and organic-inorganic hybrid semiconducting materials for flexible electronics.

Analysis and design of catalytic processes that promote sustainable chemical production and conversion.

Our research endeavors to elucidate the structure-property relationships in electrochemical materials used, for instance, in rechargeable batteries.

Research at the intersection of experimental mechanics, materials science, and machine learning.

Research interests include growth of wide-bandgap (GaN based) semiconductors and their application to blue LEDs as well as laser and high power electronic devices. This research has led to the first U.S. University demonstration of a blue GaN laser diode.

We develop novel single-cell sequencing technologies to understand mammalian tissue development in space and time.

The Eliason Lab examines how climate change constrains the performance and persistence of marine animals.

The Fredrickson group has pioneered the development of field-theoretic simulations and pursued applications of the technique to understand complex classical polymer and quantum many-boson systems.

Advanced computational science and engineering

Developing statistical learning algorithms to emulate expensive physical simulations, quantify uncertainty in imaging and microscopic videos, optimize inverse material design and characterization.

Our novel Biofeedback devices are beginning to help people recover from chronic pain due to neuroplasticity.

Developing advanced polymerization methods for new applications by combining traditional organic and polymer chemistry.

We work at the intersection of design, mechanics, and materials. We develop innovative design concepts and apply non-traditional materials to solve challenging problems in robotics, medicine, and biomechanics.

Bottom-up Assembly of Nanomaterials.

Cellular and computational neuroscience; Stochastic axon systems.

Integrated photonics; silicon photonics; optical communications; nanophotonics; microwave photonics; compound semiconductors; photonic integration techniques; and electronic-photonic integration.

The Kosik lab intends to create an intellectual setting conducive to the exploration of fundamental biological processes, particularly those related to the brain and its evolution.

We explore and engineer next-generation (ultra)wide band gap semiconductors such as Gallium Oxide. Our efforts span epitaxial growth, electronic transport, design/modeling, micro/nano fabrication, and characterization of electronic/optoelectronic devices for applications such as power electronics, high frequency electronics and ultra-violet optoelectronics.

We create software systems to turn slow exploration of complex datasets into real-time interactive workflows.

We develop ultrafast electron microscopy to image nanoscale energy transport. This knowledge can lead to better renewable energy systems.

We strive to formulate models for otherwise intractable problems, at the intersection of fluids and other disciplines.

The Mazer lab aims to detect the mechanisms by which plants adapt to ecological risks and opportunities, and to explore the genetic constraints that may limit the rate or degree of adaptation.

Professor Moody’s research group develops integrated quantum photonic technologies for computing, communications, and metrology.

Discovery of biophysical & genetic surrogates for phosphorylation controlling amyloid formation, protein assembly, structure & function.

We look for biomolecules with unusual physical and chemical properties and retool these to develop MRI tools for exploring biological functions from neuroscience to infection imaging.

Research interests are doping and transport in organic semiconductors, materials characterization, bioelectronics, and device physics

Genetic engineering and synthetic biology of non-model microorganisms.

Professor Petzold's current research focuses on computational methods, mathematical modeling and machine learning, with application to a wide range of problems from systems biology, neuroscience, medicine and engineering.

Soft, biological, and bio-inspired materials and interfaces.

The goal of our research is to develop robust and efficient synthetic approaches for applications in functional materials.

We study subwavelength light-matter interactions to better understand and exploit nanoscale optical properties.

Bioinspired polymer synthesis and self-assembly to control properties.

Work in the Seshadri lab broadly addresses the topic of structure–composition–property relations in crystalline inorganic and hybrid materials, with a focus on magnetic materials and materials for energy conversion and storage.

Our lab focuses on quantum materials, in particular, thin films and heterostructures of correlated oxides and topological materials.

Engineering biomaterials for mechanobiology.

Dmitri’s research broadly concerns different aspects of computation, in particular addressing questions on how to efficiently perform computation on various levels of abstraction.

Mechanics of cells and tissues; design of bio-inspired materials with applications to packaging, healthcare and robotics; instrument development.

Van de Walle develops and employs first-principles computational techniques to model structure and behavior of materials.

Research on haptic science and engineering, soft robotics, and additive manufacturing.

Dr. Vlcek's research enables an accurate quantum description of realistic nanoscale systems.

Quantum dynamics with ultracold atoms.

My research is driven by the hunt for the elusive interactions of wild microbes and seeks to understand the structure and activity of natural bacterial and archaeal populations

We use photo-switchable proteins to precisely control how information flows through biological networks to understand how cells make decisions.

Synthesis and advanced characterization of new quantum materials.

Micro and nanoscale thermo-fluid engineering for sustainable energy and electronics.