Research Listing - College

• Analytical & Bioanalytical Chemistry: microscopy, spectroscopy
• Nanoscience & Materials Chemistry: molecular plasmonics, nanomaterials
• Chemical Biology: biophysical spectroscopy
• Experimental Physical Chemistry: ultrafast vibrational…

• Probability Theory: High-dimensional distributions, The measure concentration phenomena
• Analysis: Isoperimetry, Transportation, Poincare and logarithmic Sobolev inequalities
• Information Theory: Entropic inequalities, concentration of information, CLT
• Convex Geometry: Convex bodies and convex measures, Localization
• Discrete Mathematics: Graphs, Finite Markov chains

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Professor Tadmor's research focuses on understanding material response from fundamental principles rather than phenomenology. Tadmor studies microscopic processes that lead to macroscopic phenomena such as fracture and plasticity using atomic-scale modeling and multiple-scale techniques. Professor Tadmor is also interested, on a more basic level, in the connection between continuum theory and atomistic models. Some recent specific topics include:

• Continued development and…

Hong Research Group

My research focuses on contemporary issues in optimization, information processing and training, alignment and application for foundation models, such as language and diffusion models.

Visit Mingyi Hong's Experts@Minnesota profile page.

I am interested in modeling the properties of novel materials.

We continue to explore a wide variety of topics in catalysis, melting, adsorption, and new 2D materials. We have also been studying single atom catalysts mounted in novel 2D layers.

We have just completed a new study on a novel AlB6 quasi-2D monolayer in 2019. This material has remarkable properties including high stability, a very high in-plane stiffness, and potential superconductivity. It is formed…

Our group studies regulation of cellular function by the healthy and diseased microenvironment. In particular, we focus on cell-cell interactions, drug delivery, and design of biomaterials for applications in molecular and cellular therapeutics and human disease modeling. Areas of interest include mechanisms of tumor progression and the development of novel treatments for metastatic cancer, molecular transport across physiological barriers, stem cell-derived models of healthy and…

I am interested in quantum properties of Condensed Matter Systems, which I study with various theoretical tools. In particular, I focus on phase transitions at small temperatures and quantum impurities.

My area of expertise is in experimental high energy physics with experience in both hadron collider and neutrino oscillation physics. Most recently, I have been fascinated by the neutrino sector of particle physics. Although the existence of these particles has been known for many decades, much is still unknown about them. What is the ordering of the neutrinos? Is there CP-violation in the lepton sector? Are neutrinos responsible for leptogenesis? Can neutrinos lead to a discovery of physics…

Keefe's research explores a broad range of topics in the areas of visualization, computer graphics, and human-computer interaction. His current projects center on data visualization in extended reality, data "physicalization" (e.g., via multi-material 3D printing), data storytelling, community-engaged co-design, ensemble visualization for climate science and other high-performance computing applications, and basic research in 3D user interfaces, haptics,…

My research interest spans domain-specific acceleration chip design, computer architecture, and agile design automation. Specifically, my recent research centers around enabling ubiquitous AI-powered intelligent functionalities, particularly highlighting a holistic solution from efficient architectures, to chips, and to integrated systems and advocating the design insight of marrying algorithm-hardware co-design techniques with application-level opportunities.