GEOS: A Multi-Physics Simulation Framework for Subsurface ApplicationsGEOS is an open-source simulation framework for modeling tightly coupled multi-physics processes in subsurface reservoirs, with a primary focus on geological carbon storage. Originally developed at Lawrence Livermore National Laboratory in 2011 to study hydraulic fracture propagation in enhanced geothermal systems, the framework underwent a major redesign in 2016 as ...
Progress in neuroimaging research has allowed researchers not only to predict diverse individual choices, but also to forecast some of those choices out-of-sample at the aggregate scale (e.g., on the internet). Surprisingly, sampled brain activity sometimes supports better forecasts than sampled behavior. For instance, neuroforecasting research on crowdfunding and video ...
Where: StanfordCost: Free
AI (R)evolutions in Observational AstronomyAI and machine learning have found applications in many fields, and astronomy is no exception. But while some see AI as an overhyped toy and others as an existential threat, astronomers have been using it for a while, out of necessity. With an overwhelming influx of data, these tools provide ...
Work on solid electrolytes for rechargeable lithium-based batteries is motivated by the potential benefits of lithium-metal anodes for a variety of applications, including electric vehicles. Dendrite formation has been the key challenge preventing commercialization of rechargeable lithium-metal batteries, so establishing, validating, and improving the dendrite resistance of electrolytes is a ...
