New prototype could lead to more efficient reactors, more economical maintenance and operation of nuclear power plants, and faster commercialization of new designs.
New prototype could lead to more efficient reactors, more economical maintenance and operation of nuclear power plants, and faster commercialization of new designs.
New prototype could lead to more efficient reactors, more economical maintenance and operation of nuclear power plants, and faster commercialization of new designs.
New prototype could lead to more efficient reactors, more economical maintenance and operation of nuclear power plants, and faster commercialization of new designs.
New prototype could lead to more efficient reactors, more economical maintenance and operation of nuclear power plants, and faster commercialization of new designs.
Pierre Agostini, 2023 Nobel Laureate and emeritus professor of physics at The Ohio State University, is often a man of few words. During his visit to the Columbus campus this spring, he met with a group of physics students and answered their questions over pizza. Some of his answers were characteristically brief:
Will winning a Nobel Prize lead to more funding for his research?
“Hopefully.”
For centuries, astronomers have realized that total solar eclipses offer a valuable scientific opportunity. But total solar eclipses are infrequent, and are visible only from a narrow path of totality. As the history of astronomy shows, things don’t always go according to plan for even the most prepared eclipse hunters.
On a normal day in the College of Dentistry at The Ohio State University, no one would expect Drew Carey to show up. But in Matthew Messina’s Introduction to Clinical Dentistry class, the actor’s absence felt strangely conspicuous.
“Drew Carey was unavailable today,” Messina told the assembled students. “So, you get me as your host.”
In an APL Machine Learning paper, researchers employed an algorithm with reinforcement learning and decision trees to search the configurational-compositional space of boron structures.
In a PNAS paper, researchers introduces a novel ether electrolyte, 1M LiBF4 plus 1,2-dimethoxyethane, that enables graphite anodes with remarkable capacity retention and cycling stability.
In an APL Machine Learning paper, researchers employed an algorithm with reinforcement learning and decision trees to search the configurational-compositional space of boron structures.