Making clean energy investments more successful
Tools for forecasting and modeling technological improvements and the impacts of policy decisions can result in more effective and impactful decision-making.
Tools for forecasting and modeling technological improvements and the impacts of policy decisions can result in more effective and impactful decision-making.
Cutting air travel and purchasing renewable energy can lead to different effects on overall air quality, even while achieving the same CO2 reduction, new research shows.
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.
The virtual VideoCAD tool could boost designers’ productivity and help train engineers learning computer-aided design.
A new study by MIT researchers analyzes different nuclear waste management strategies, with a focus on the radionuclide iodine-129.
The new approach maps aircraft sections most vulnerable to lightning, including on planes with experimental designs.
New 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.
MIT researchers discovered a hidden atomic order that persists in metals even after extreme processing.
The approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines.
The collaboration has led to new fuels and a variety of other projects to enable clean, safe nuclear energy.
The 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.
Popular mechanical engineering course applies machine learning and AI theory to real-world engineering design.
New research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.
A new computational model makes sense of the cognitive processes humans use to evaluate punishment.
New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.