Fluid dynamics
Fluid dynamics

Fluid dynamics

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Perturbation Theory: A Powerful Mathematical Key to Understanding Complex Systems

Originating in the early 20th century, it provided a mathematical framework to analyze problems by introducing small perturbations to known solutions. This approach enables us to tackle intricate phenomena in quantum mechanics, fluid dynamics, and engi…

Aeronautical and astronautical engineering Artificial Intelligence Computer modeling Energy Fluid dynamics Fusion Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Nuclear power and reactors Plasma Science and Fusion Center Renewable energy Research School of Engineering Sustainability

New prediction model could improve the reliability of fusion power plants

The approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines.

Artificial Intelligence Automobiles Computer modeling Data Design Electric vehicles Energy efficiency Fluid dynamics machine learning Mechanical engineering Research School of Engineering

Want to design the car of the future? Here are 8,000 designs to get you started.

MIT engineers developed the largest open-source dataset of car designs, including their aerodynamics, that could speed design of eco-friendly cars and electric vehicles.

Algorithms Artificial Intelligence Climate Climate change Computer modeling Defense Advanced Research Projects Agency (DARPA) Disaster response Earth and atmospheric sciences Environment Fluid dynamics Hurricanes machine learning Mechanical engineering Natural disasters Planetary science Research School of Engineering Weather

MIT-derived algorithm helps forecast the frequency of extreme weather

The new approach “nudges” existing climate simulations closer to future reality.