A new approach increases the efficiency of chemical reactions that are key to many industrial processes.

MIT researchers find a new way to quantify the uncertainty in molecular energies predicted by neural networks.

MIT researchers employ machine learning to find powerful peptides that could improve a gene therapy drug for Duchenne muscular dystrophy.

MIT-led research team fashions graphene foam into device that can extract uranium and other heavy metals from tap water.

The design could lead to conformable wearable monitors to track skin cancer and other conditions.

How 3D-printed models of neuronal axons could accelerate development of new therapies to treat neurodegenerative disorders.

FIB-SEM is now available to researchers across the Institute for use in characterization, nanofabrication, and rapid prototyping.

In a first, the digital fiber contains memory, temperature sensors, and a trained neural network program for inferring physical activity.

By selectively heating specific phonons without heating the entire material, researchers have enhanced ion diffusion in a way that could have broad applications.

A new approach to identifying useful formulations could help solve the degradation issue for these promising new lightweight photovoltaics.