New computational tool predicts cell fates and genetic perturbations
The technique can help predict a cell’s path over time, such as what type of cell it will become.
The technique can help predict a cell’s path over time, such as what type of cell it will become.
MIT Energy Initiative edX course asks students to rethink how we operate power systems.
Doctoral candidate Nina Andrejević combines spectroscopy and machine learning techniques to identify novel and valuable properties in matter.
Senior research scientist and her team are designing intelligent systems that could someday transform the way we travel and consume energy.
MIT ocean and mechanical engineers are using advances in scientific computing to address the ocean’s many challenges, and seize its opportunities.
In 2.C01, George Barbastathis demonstrates how mechanical engineers can use their knowledge of physical systems to keep algorithms in check and develop more accurate predictions.
Arlene Fiore uses satellite data paired with ground observations to refine our understanding of ozone smog and interactions with meteorology and climate.
A new course teaches students how to use computational techniques to solve real-world problems, from landing a spacecraft to placing cell phone towers.
MIT researchers are testing a simplified turbulence theory’s ability to model complex plasma phenomena using a novel machine-learning technique.
MIT PhD student Rachel Bielajew is taking on plasma turbulence, and helping make a better world — through science and community action.
Computational modeling shows that both our ears and our environment influence how we hear.
Mechanical engineers are using cutting-edge computing techniques to re-imagine how the products, systems, and infrastructures we use are designed.
Professor Bilge Yildiz finds patterns in the behavior of ions across applications.
By incorporating the scattering of RF waves into fusion simulations, MIT physicists improve heating and current drive predictions for fusion plasmas.
“In astrophysics, we have only this one universe which we can observe,” the physics professor says. “With a computer, we can create different universes, which we can check.”