Computer modeling
Computer modeling

Computer modeling

3-D imaging Artificial Intelligence Computer graphics Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical engineering and computer science (EECS) Human-computer interaction Manufacturing MIT Schwarzman College of Computing Research School of Engineering Simulation

With a feel for physics, AI models simulate a wider range of real-world scenarios

“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.

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Solving the solvent problem

By focusing on electrolytes, MIT scientists are making sodium-metal batteries a more practical energy storage option.

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Working to automate nuclear plant operations

PhD student Lauren Fortier is building on the experience she gained operating a nuclear plant for the Navy to solve a critical hurdle in the wider adoption of the energy source.

Algorithms Artificial Intelligence Computer modeling Computer science and technology Design machine learning Mechanical engineering MIT Schwarzman College of Computing MIT-IBM Computing Research Lab Research School of Engineering Systems design

A better way to turn 2D designs into 3D models for rapid prototyping

Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.

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A better way to model the behavior of metal alloys

MIT researchers’ approach captures subtle atomic patterns, improving predictions of material properties.

Algorithms Artificial Intelligence Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Human-computer interaction Laboratory for Information and Decision Systems (LIDS) machine learning Mathematics MIT Schwarzman College of Computing Research School of Engineering

When it comes to predicting people’s preferences, it pays to consider “the power of three”

MIT researchers provide a major upgrade to the nearly century-old idea of random utility models.

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Working to advance the nuclear renaissance

Dean Price, assistant professor in the Department of Nuclear Science and Engineering, sees a bright future for nuclear power, and believes AI can help us realize that vision.

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MIT researchers use AI to uncover atomic defects in materials

A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.

3-D printing Artificial Intelligence Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical engineering and computer science (EECS) Fabrication Human-computer interaction MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering

Mixing generative AI with physics to create personal items that work in the real world

To help generative AI models create durable, real-world accessories and decor, the PhysiOpt system runs physics simulations and makes subtle tweaks to its 3D blueprints.

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Parking-aware navigation system could prevent frustration and emissions

By minimizing the need to drive around looking for a parking spot, this technique can save drivers up to 35 minutes — and give them a realistic estimate of total travel time.