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April 25, 2023
Members of the School of Energy Resources (SER) are presenting at the American Association of Petroleum Geologist’s (AAPG) Carbon Capture, Utilization, and Storage (CCUS) conference in Houston, Tex., April 25-27.
April 25, 2023
John Kaszuba, the University of Wyoming’s John and Jane Wold Centennial Chair in Energy and School of Energy Resources Professor of Geology and Geophysics, was named a 2023 recipient of the UW Foundation Stewardship Award.
April 24, 2023
The Hydrogen Energy Research Center (H2ERC) in the University of Wyoming’s School of Energy Resources (SER) is partnering with Cardiff University in Wales, United Kingdom, to launch a webinar series that focuses on emerging topics in hydrogen energy.
April 24, 2023
The University of Wyoming’s School of Energy Resources (SER) and the Student Chapter of Energy Resources will host the second Rocky Mountain Professional Landman (PLM) Conference Friday, May 5.
April 21, 2023
The U.S. Nuclear Regulatory Commission’s (NRC) Office of Nuclear Regulatory Research recently announced the University of Wyoming has been selected for a Faculty Development Advancement Award as part of the NRC’s University Nuclear Leadership Program.
April 18, 2023
The School of Energy Resources (SER) is pleased to welcome Dayana Zhappassova to the research team in the Hydrogen Energy Research Center (H2ERC).
April 17, 2023
University of Wyoming doctoral student Rami Alloush, of Damanhour, Egypt, was named the winner of the Energy Vault Student Competition hosted by the UW School of Energy Resources (SER).
April 13, 2023
In a collaborative project with nuclear energy and regulatory experts across the U.S., University of Wyoming School of Energy Resources research staff and faculty members co-wrote a report outlining potential markets and evaluating state-level legal, regulatory, economic and technology implications for nuclear microreactor applications in U.S. markets.
April 12, 2023
A collaboration between University of Wyoming researchers and a wind energy company has provided new insights into the use of high-performance computing to predict wind resources.
