158 Hosler Building
University Park, PA 16802
(e) bja4@psu.edu
By Jamie Oberdick
Penn State has received a $1 million award from the U.S. Department of Energy (DOE) to develop a workforce pipeline for the critical minerals and materials used in batteries, magnets and other advanced technologies.
Stephanie Law, associate professor of materials science and engineering at Penn State, has been named director and principal investigator of the Two-Dimensional Crystal Consortium-Materials Innovation Platform, or 2DCC-MIP, a U.S. National Science Foundation (NSF)-supported national user facility within Penn State’s Materials Research Institute (MRI).
Penn State Professor Susan Trolier-McKinstry was named as a Distinguished Daughter of Pennsylvania. She is one of 10 inductees included in the class of 2026. She was recognized by Gov. Josh Shapiro and First Lady Lori Shapiro at the Distinguished Daughters of Pennsylvania’s annual luncheon held in the Governor's Residence in Harrisburg on Oct. 7.
Intel-E-Waste will scale-up and commercialize its metal transformation platform, building on foundational Penn State research, with Penn State as its research partner
By Adrienne Berard
Old electronics and solar panels could become a new, domestic source for critical and strategic materials through Intel-E-Waste, a startup whose technology builds on foundational research from Penn State.
The project, part of the national Genesis Mission initiative, seeks to help those waiting for a liver donation
By Ty Tkacik
(e) wff3@psu.edu, (e) wfigure@psu.edu
215C Computer Building
The Institute for Computational and Data Sciences (ICDS) provides Penn State researchers with secure, scalable infrastructure for storing, managing, and computing on research data, with direct connectivity to high-performance computing resources. MCL is now making it much easier for our users to take advantage of this infrastructure.
Synthesis and characterization workflows to make data accessible
Artificial intelligence is transforming research and creating new opportunities to accelerate materials discovery and improve reproducibility. For materials scientists, however, the complexity of real materials—including defects and variations that often determine their properties—presents unique challenges for applying AI.
Experiments and simulations show connections between droplets supports temporal computing in soft materials
By Ty Tkacik