Cleaner industry
Cleaner industry

Cleaner industry

Agriculture Artificial Intelligence chemistry Cleaner industry Computer modeling DMSE Emissions Food Industry machine learning Materials science and engineering Nuclear science and engineering Pollution Research School of Engineering School of Science Sustainability

Paving the way for greener ammonia production

New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that’s essential to fertilizer and other products.

Artificial Intelligence Batteries Cleaner industry Climate Computer science and technology Electronics Energy health Industry Innovation and Entrepreneurship (I&E) Materials science and engineering MIT.nano Nanoscience and nanotechnology Photonics Quantum Computing School of Engineering School of Science Semiconductors Startups Superconductivity Technology and society

Sixteen new START.nano companies are developing hard-tech solutions with the support of MIT.nano

Startup accelerator program grows to over 30 companies, almost half of them with MIT pedigrees.

Artificial Intelligence Automobiles Batteries Cleaner industry Electric vehicles Energy Energy storage Industry MIT Energy Initiative Special events and guest speakers Supply chains Transportation

Driving American battery innovation forward

At MITEI’s Fall Colloquium, General Motors’ battery development expert emphasized how affordability, accessibility, and commercialization can position the US as a leader in battery tech.

Artificial Intelligence Chemical engineering Cleaner industry Climate Electric grid Electric vehicles Energy Energy efficiency Energy storage Infrastructure machine learning Mechanical engineering MIT Energy Initiative Renewable energy Research School of Engineering Sustainability Sustainable computing Weather modeling

How artificial intelligence can help achieve a clean energy future

AI supports the clean energy transition as it manages power grid operations, helps plan infrastructure investments, guides development of novel materials, and more.

Artificial Intelligence Batteries Carbon dioxide chemistry Cleaner industry Climate change Collaboration DMSE Electric grid Energy Energy storage Faculty Government Infrastructure Innovation and Entrepreneurship (I&E) Mechanical engineering MIT Energy Initiative Policy Renewable energy School of Engineering School of Science Special events and guest speakers Startups Students Sustainability The Engine Transportation

MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape

Industry leaders agree collaboration is key to advancing critical technologies.

Artificial Intelligence Cleaner industry Climate change Electric grid Emissions Energy Energy efficiency MIT Energy Initiative Research Sustainability Technology and policy

MIT Energy Initiative launches Data Center Power Forum

MIT faculty and MITEI member company experts address power demand from data centers.

Artificial Intelligence Cleaner industry Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical engineering and computer science (EECS) Human-computer interaction Invention machine learning Media Lab MIT Morningside Academy for Design MIT Schwarzman College of Computing Research School of Engineering Sustainability

New software designs eco-friendly clothing that can reassemble into new items

To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.

3-D printing Artificial Intelligence Cleaner industry Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical engineering and computer science (EECS) Invention machine learning MIT Schwarzman College of Computing Recycling Research School of Engineering Sustainability

A greener way to 3D print stronger stuff

MIT CSAIL researchers developed SustainaPrint, a system that reinforces only the weakest zones of eco-friendly 3D prints, achieving strong results with less plastic.

Artificial Intelligence Chemical engineering chemistry Cleaner industry Computer science and technology Drug development machine learning Pharmaceuticals Research School of Engineering

A new model predicts how molecules will dissolve in different solvents

Solubility predictions could make it easier to design and synthesize new drugs, while minimizing the use of more hazardous solvents.

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.