Materials science and engineering

Artificial IntelligenceEnergy

New materials could boost the energy efficiency of microelectronics

By stacking multiple active components based on new materials on the back end of a computer chip, this new approach reduces the amount of energy wasted during computation.

Read More
Artificial IntelligenceMachine Learning

Checking the quality of materials just got easier with a new AI tool

Acting as a “virtual spectrometer,” SpectroGen generates spectroscopic data in any modality, such as X-ray or infrared, to quickly assess a material’s quality.

Read More
Artificial IntelligenceMachine Learning

Printable aluminum alloy sets strength records, may enable lighter aircraft parts

Incorporating machine learning, MIT engineers developed a way to 3D print alloys that are much stronger than conventionally manufactured versions.

Read More
Artificial IntelligenceEnergyMachine Learning

AI system learns from many types of scientific information and runs experiments to discover new materials

The new “CRESt” platform could help find solutions to real-world energy problems that have plagued the materials science and engineering community for decades.

Read More
Artificial IntelligenceEnergyMachine Learning

With SCIGEN, researchers can steer AI models to create materials with exotic properties for applications like quantum computing.

Read More
Artificial IntelligenceMachine LearningRobotics

Developed to analyze new semiconductors, the system could streamline the development of more powerful solar panels.

Read More
Artificial Intelligence

AI stirs up the recipe for concrete in MIT study

With demand for cement alternatives rising, an MIT team uses machine learning to hunt for new ingredients across the scientific literature.

Read More
Artificial IntelligenceMachine Learning

New computational chemistry techniques accelerate the prediction of molecules and materials

With their recently-developed neural network architecture, MIT researchers can wring more information out of electronic structure calculations.

Read More
Artificial Intelligence

MIT engineers grow “high-rise” 3D chips

An electronic stacking technique could exponentially increase the number of transistors on chips, enabling more efficient AI hardware.

Read More
Artificial IntelligenceMachine Learning

Graph-based AI model maps the future of innovation

An AI method developed by Professor Markus Buehler finds hidden links between science and art to suggest novel materials.

Read More