Center to advance predictive simulation research established at MIT Schwarzman College of Computing

MIT is among nine universities selected as part of a program sponsored by the DoE to support science-based modeling and simulation and exascale computing technologies.

Terri Park | MIT Schwarzman College of Computing • mit
Nov. 24, 2020 ~7 min

Learning by doing, remotely

Despite the disruption caused by the pandemic, MIT students have carved out meaningful hands-on experiences.

Elizabeth Durant | Office of the Vice Chancellor • mit
Oct. 19, 2020 ~10 min


Machine learning uncovers potential new TB drugs

Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases.

Anne Trafton | MIT News Office • mit
Oct. 15, 2020 ~7 min

MIT-led team to develop software to help forecast space storms

National Science Foundation awards proposal for space weather modeling.

Sara Cody | Department of Aeronautics and Astronautics • mit
Sept. 10, 2020 ~7 min

Study: A plunge in incoming sunlight may have triggered “Snowball Earths”

Findings also suggest exoplanets lying within habitable zones may be susceptible to ice ages.

Jennifer Chu | MIT News Office • mit
July 29, 2020 ~8 min

Algorithm quickly simulates a roll of loaded dice

Approach for generating numbers at random may help analyses of complex systems, from Earth’s climate to financial markets.

Steve Nadis | MIT News correspondent • mit
May 28, 2020 ~8 min

The growth of an organism rides on a pattern of waves

Study shows ripples across a newly fertilized egg are similar to other systems, from ocean and atmospheric circulations to quantum fluids.

Jennifer Chu | MIT News Office • mit
March 23, 2020 ~7 min

Machine learning picks out hidden vibrations from earthquake data

Technique may help scientists more accurately map vast underground geologic structures.

Jennifer Chu | MIT News Office • mit
Feb. 28, 2020 ~8 min


Finding the true potential of algorithms

Using mathematical theory, Virginia Williams coaxes algorithms to run faster or proves they’ve hit their maximum speed.

Rob Matheson | MIT News Office • mit
Jan. 7, 2020 ~9 min

How strong is your knot?

With help from spaghetti and color-changing fibers, a new mathematical model predicts a knot’s stability.

Jennifer Chu | MIT News Office • mit
Jan. 2, 2020 ~8 min

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