Materials science and engineering
Materials science and engineering

Materials science and engineering

3-D printing Artificial Intelligence machine learning Materials science and engineering Mechanical engineering Research School of Engineering

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.

Artificial Intelligence DMSE Energy machine learning Materials science and engineering MIT.nano Nanoscience and nanotechnology Nuclear science and engineering Research School of Engineering

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.

Artificial Intelligence Department of Energy (DoE) Energy machine learning Materials science and engineering National Science Foundation (NSF) Nuclear science and engineering Quantum mechanics Research School of Engineering Superconductivity

New tool makes generative AI models more likely to create breakthrough materials

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

Algorithms Artificial Intelligence Computer science and technology computer-vision Department of Energy (DoE) Electrical engineering and computer science (EECS) machine learning Materials science and engineering Mechanical engineering National Science Foundation (NSF) Renewable energy Research Research Laboratory of Electronics Robotics School of Engineering Solar Sustainability

Robotic probe quickly measures key properties of new materials

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

Artificial Intelligence Civil and environmental engineering Cleaner industry Concrete Concrete Sustainability Hub DMSE Emissions Environment Infrastructure Materials science and engineering Research School of Engineering Sustainability Technology and society

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.

Artificial Intelligence Computer science and technology DMSE machine learning Materials science and engineering Networks Nuclear science and engineering Quantum mechanics Research School of Engineering Semiconductors

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.

2-D Artificial Intelligence Computer chips DMSE Electronics Materials science and engineering Mechanical engineering Research School of Engineering Semiconductors

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.

Artificial Intelligence Arts Civil and environmental engineering Computer science and technology Design machine learning Materials science and engineering Mechanical engineering Research School of Engineering

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.

Artificial Intelligence Computer science and technology DMSE Electrical engineering and computer science (EECS) Electronics Energy machine learning Materials science and engineering Microsystems Technology Laboratories MIT Schwarzman College of Computing MIT.nano Nanoscience and nanotechnology Nuclear science and engineering Research School of Engineering

Nanoscale transistors could enable more efficient electronics

Researchers are leveraging quantum mechanical properties to overcome the limits of silicon semiconductor technology.

Artificial Intelligence chemistry machine learning Materials science and engineering Research School of Science

AI model can reveal the structures of crystalline materials

By analyzing X-ray crystallography data, the model could help researchers develop new materials for many applications, including batteries and magnets.