Oocyte growth relies on physical phenomena that drive smaller cells to dump their contents into a larger cell.

A new national consortium, co-led by the University of Cambridge, will bring together mathematical modellers to produce faster, more rigorous predictions for

New technique reveals many possible conformations that a protein may take.

Using this computational system, researchers can identify viral protein sequences that could make better vaccine targets.

Whether you are predicting the outcome of an election or studying how effective a new drug is, there will always be some uncertainty. A margin of error is how statisticians measure that uncertainty.

A key finding: Early reopening last spring led to a dramatic drop in “quarantine strength” in southern and west-central U.S. states.

If you've ever wondered how to use cookie cutters to minimize wasted dough, you've homed in on a math problem no algorithm can yet handle.

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.