Researchers from the State Key Laboratory of Theoretical Physics at the Institute of Theoretical Physics, Chinese Academy of Sciences, have developed a new method to simulate photochemical processes more efficiently. The team, led by Zhenxing Zhu and
AI-Powered Breakthrough Speeds Up Photochemical Process Simulations Read More »
In the realm of photochemistry, a recent study has shed light on the intricate dynamics of a process known as excited-state intramolecular proton transfer (ESIPT). This research, conducted by Alessandro Nicola Nardi and Morgane Vacher, both affiliate
French Researchers Unravel ESIPT Mystery for Energy Innovations Read More »
Simon Woodruff, a researcher at the U.S. Department of Energy’s Advanced Research Projects Agency-Energy (ARPA-E), has developed a comprehensive costing framework for fusion power plants. This work, conducted over seven years, aims to provide a stand
ARPA-E’s Simon Woodruff Unveils Fusion Power Costing Breakthrough Read More »
Researchers from Lawrence Berkeley National Laboratory, including Phillip S. Thomas, Minh Nguyen, Dimitri Bazile, Tucker Allen, Barry Y. Li, Wenfei Li, Daniel Neuhauser, Mauro Del Ben, and Jack Deslippe, have developed a new computational tool that c
GPU-Powered Breakthrough Speeds Up Energy Material Discovery Read More »
In the realm of energy research, a team of scientists from the University of North Carolina at Chapel Hill has made significant strides in understanding thermonuclear reaction rates, a critical aspect of astrophysics and nuclear energy applications.
UNC Scientists Revolutionize Thermonuclear Reaction Rates for Energy and Astrophysics Read More »
Researchers Paul Seurin and Dean Price, affiliated with the University of California, Berkeley, have expanded their previous work on optimizing heat-pipe microreactors (HPMRs), compact nuclear power systems designed for remote areas. Their latest stu
Berkeley Researchers Optimize Compact Nuclear Reactors for Remote Power Read More »
In the realm of energy and materials science, a trio of researchers from the University of Wisconsin-Madison—Ryan Jacobs, Lane E. Schultz, and Dane Morgan—have been exploring innovative machine learning techniques to predict materials properties more
Revolutionizing Energy Materials: KANs Offer New Predictive Power Read More »
Researchers Domenico Ciuonzo, Alessio Zappone, Marco Di Renzo, and Ciro D’Elia, affiliated with the Laboratory of Signals and Systems (L2S) at CentraleSupélec, Université Paris-Saclay, have published a study on enhancing distributed detection in wire
Metasurfaces Boost Wireless Sensor Networks for Smarter Energy Grids Read More »
In the realm of image processing, a team of researchers from the School of Artificial Intelligence at the University of Chinese Academy of Sciences, led by Xingxin Xu, has developed a novel approach to improve image fusion, a technique that combines
Chinese Researchers Revolutionize Image Fusion for Energy Sector Read More »
In the realm of nuclear physics and energy research, understanding the behavior of isotopes is crucial for advancements in nuclear energy and safety. Researchers A. Rahmatinejad, T. M. Shneidman, and N. Jovancevic, affiliated with institutions known
Revolutionizing Nuclear Energy: Plutonium Isotope Insights Unveiled Read More »
