Physically constrained autoencoder-assisted Bayesian optimization for refinement of high-dimensional defect-sensitive single crystalline structure
Bouncy balls and beyond: Collaborative project connects science with community
Through “Mission: Materials Science,” a long-running outreach initiative supported by Penn State’s U.S. National Science Foundation-funded Materials Research Science and Engineering Center (MRSEC), graduate students from across disciplines have partnered with museum educators and media professionals to transform materials science research into free, hands-on learning activities. The newest collection, recently launched online, adds four experiments designed for children ages 8 to 13.
Allan MacDonald Honored with Kavli Prize in Nanoscience
When Allan H. MacDonald, a theoretical physicist at The University of Texas at Austin and a faculty investigator in UT Austin’s Center for Dynamics and Control of Materials, an NSF MRSEC, began exploring two-dimensional materials decades ago, the field was still taking shape. Today, that work has helped define an entirely new area of nanoscience — and earned him one of science’s major international honors.
UTK-MRSEC’s PI Elected as a New SHUG Executive Committee Member
Yishu Wang has been elected as one of three new general members to the SNS-HFIR User Group (SHUG) Executive Committee (EC) starting January 1, 2026. SHUG consists of all persons interested in using the neutron scattering facilities at Oak Ridge. It provides input to the management on user concerns, provides a forum for keeping the entire community informed of issues and progress at these facilities, and serves as an advocacy group for neutron scattering science at these facilities.
Bacterial Cell Length Sets Who Gets Through and Who Gets Stuck in a Porous Maze
Fluid Squeezed Through a Tumor's Matrix Shapes How It Grows: A Poroelastic Multiscale Model
3D Printing Interpenetrating Polymer–Pore Networks: Bicontinuous Emulsion Gels in Arbitrary Shapes
Tunable Bistable Networks: A Programmable Platform for Flow-Network Memory
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