A team used two DOE supercomputers to complete simulations of the full-power ITER fusion device and found that the component that removes exhaust heat from ITER may be more likely to maintain its integrity than was predicted by the current trend of fusion devices.
As an intern for the National Nuclear Data Center, Pedro Rodríguez is working to resolve a 70-year-old problem in nuclear physics. He and his mentor are figuring out a way to simplify one of the steps for ensuring nuclear reactors can be modeled correctly.
A new global simulation model offers the first long-term look at how urbanization—the growth of cities and towns—will unfold in the coming decades. Using data science and machine learning, the research team projects the total amount of urban areas on Earth can grow anywhere from 1.8 to 5.9-fold by 2100, building approximately 618,000 square miles.
“What’s the harm in visiting just one friend?” A lot of people are asking that during times of social distancing. A new website illustrates how doing so would essentially reconnect most households in a community and provide conduits through which the COVID-19 virus could spread.
The Department of Energy has a vital role to play in the national response to COVID-19. Researchers have already used tools at national laboratories to make major inroads to analyzing the virus and its spread.
Newly released guidelines on the best practices for utilizing telemedicine to support uninterrupted healthcare education and simulation training during academic closures due to Covid-19 Coronavirus
Researchers at the Department of Energy’s Oak Ridge National Laboratory have used Summit, the world’s most powerful and smartest supercomputer, to identify 77 small-molecule drug compounds that might warrant further study in the fight against the SARS-CoV-2 coronavirus, which is responsible for the COVID-19 disease outbreak.
Story Tips: Fusion squeeze, global image mapping, computing mental health and sodium batteries
Researchers from TAE Technologies used the Argonne Leadership Computing Facility to support their fusion research. The company is working to develop the world’s first fusion device that can generate electricity and is commercially viable.
ExaStar aims to create simulations for comparison with experiments and observations to help answer a variety of questions: Why is there more iron than gold in the universe? Why is anything rarer than anything else? Why is finding transuranic elements on the face of the earth difficult?
A team devised a way to better model water’s properties. They developed a machine-learning workflow that offers accurate and computationally efficient models.