Working to eliminate barriers to adopting nuclear energy
Nuclear waste continues to be a bottleneck in the widespread use of nuclear energy, so doctoral student Dauren Sarsenbayev is developing models to address the problem.
Nuclear waste continues to be a bottleneck in the widespread use of nuclear energy, so doctoral student Dauren Sarsenbayev is developing models to address the problem.
Macro, a modeling tool developed by the MIT Energy Initiative, enables energy-system planners to explore options for developing infrastructure to support decarbonized, reliable, and low-cost power grids.
Read MoreThe virtual VideoCAD tool could boost designers’ productivity and help train engineers learning computer-aided design.
Read MoreNew tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.
Read MoreThe approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines.
Read MoreThe research center, sponsored by the DOE’s National Nuclear Security Administration, will advance the simulation of extreme environments, such as those in hypersonic flight and atmospheric reentry.
Read MorePopular mechanical engineering course applies machine learning and AI theory to real-world engineering design.
Read MoreNew research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.
Read MoreNew research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.
Read MoreFour new professors join the Department of Architecture and MIT Media Lab.
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