News: Research

K1 Semiconductor, which recently took second place in the Polsky New Venture Challenge and Grainger Engineering Tech Startup Challenge, is developing a technique that could drastically improve chip manufacturing.

Ten of the 18 projects awarded grants involve faculty from the Physical Sciences Division. These projects are crucial in tackling climate change.

Ahmed Bou-Rabee's superdiffusion research, featured in Quanta Magazine, proves a 1980s prediction using new methods in stochastic homogenization, with co-authors Scott Armstrong and Tuomo Kuusi.

Near Modane, a laboratory buried beneath the Alps is attempting to capture elements of a world parallel to our own. Paolo Privitera uses this laboratory to study dark matter. 

[Article published in French. View in Chrome browser for translation option.]

Fred Ciesla reveals how observations of a young star offer a glimpse of the high-temperature conditions that shaped rock formation in the early Solar System.

PhD student Roy Zhao's research on a region called Sagittarius C discovers that magnetic field in the area wraps around an expanding bubble of hot, electrified gas blown outward by the winds from a cluster of massive young stars.

PhD student Jasmine Lu incorporates slime mold into her devices due to its unique ability to conduct electricity. 

Hank Hoffmann, Liew Family Chair of Computer Science, earns SEAMS Most Influential Paper Award for research on using control theory to enhance adaptive software reliability and responsiveness.

Professors Steven Sibener in Chemistry and Meghana Ranganathan in Geophysical Sciences will lead project to better predict ice loss.

Stuart Rowan and researchers from UChicago Pritzker Molecular Engineering created drug delivery nanoparticles that self-assemble with a simple temperature shift.

The mysterious substance called dark matter is intrinsically invisible. It cannot be directly observed; its presence is inferred by its gravitational influence on the universe, such as binding galaxy clusters together and moving stars around their galaxy faster than they should. Yet new research published in Physical Review Letters uses a “camera” to look for dark matter interactions, thereby probing the nature of this elusive stuff.

A neurotic robot in a University of Chicago study was seen as more human and relatable, sparking emotional connections—despite extroverted robots being preferred.

A new study finds vague AI chatbot rules frustrate users, while Grok shows the risk of fewer guardrails.

UChicago CS Assistant Professor Haotian Jiang and collaborator Nikhil Bansal develop a new algorithm that addresses the problems and surpasses the performance of both existing methods of numerical integration, including Monte Carlo and Quasi-Monte Carlo.

Integrating sulfur into crystalline nanostructures utilizes previously untapped active sites.