DMSE
DMSE

DMSE

Artificial Intelligence Chemical engineering Cleaner industry Climate change Department of Energy (DoE) DMSE Energy Energy storage Faculty Fusion Government MIT Energy Initiative Nuclear power and reactors Policy Renewable energy School of Architecture and Planning School of Engineering Special events and guest speakers Startups Students Sustainability Urban studies and planning

Ensuring a durable transition

Progress on the energy transition depends on collective action benefiting all stakeholders, agreed participants in MITEI’s annual research conference.

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 Awards, honors and fellowships Biology Brain and cognitive sciences Chemical engineering chemistry Computer Science and Artificial Intelligence Laboratory (CSAIL) DMSE Funding Graduate, postdoctoral MIT Schwarzman College of Computing Music Physics School of Engineering School of Humanities Arts and Social Sciences School of Science

MIT Schwarzman College of Computing launches postdoctoral program to advance AI across disciplines

The new Tayebati Postdoctoral Fellowship Program will support leading postdocs to bring cutting-edge AI to bear on research in scientific discovery or music.

Artificial Intelligence DMSE Energy machine learning Materials science and engineering Research School of Engineering Sustainability

Proton-conducting materials could enable new green energy technologies

Analysis and materials identified by MIT engineers could lead to more energy-efficient fuel cells, electrolyzers, batteries, or computing devices.

Artificial Intelligence Computer modeling DMSE Electrical Engineering & Computer Science (eecs) machine learning Materials science and engineering Metals Research School of Engineering

Machine learning unlocks secrets to advanced alloys

An MIT team uses computer models to measure atomic patterns in metals, essential for designing custom materials for use in aerospace, biomedicine, electronics, and more.

Aeronautical and astronautical engineering Artificial Intelligence Biological engineering Broad Institute Chemical engineering Civil and environmental engineering Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Cryptography Data DMSE Economics Electrical Engineering & Computer Science (eecs) Electronics Environment Faculty Human-computer interaction human-robot interaction IDSS Immunology Laboratory for Information and Decision Systems (LIDS) machine learning Media Lab Medicine MIT Schwarzman College of Computing Music Music and theater arts Research Laboratory of Electronics Robotics School of Engineering School of Humanities Arts and Social Sciences School of Science

School of Engineering welcomes new faculty

Fifteen new faculty members join six of the school’s academic departments.

Artificial Intelligence Bioengineering and biotechnology Cancer Data DMSE Graduate, postdoctoral Health sciences and technology Materials science and engineering Medicine Microbiome Profile School of Engineering Students

From steel engineering to ovarian tumor research

Ashutosh Kumar, a materials science and engineering PhD student and MathWorks Fellow, applies his eclectic skills to studying the relationship between bacteria and cancer.

Alternative energy Artificial Intelligence Climate change Department of Energy (DoE) DMSE Energy Faculty Funding Geology Grants Mechanical engineering Renewable energy Robotics School of Engineering Sustainability

Extracting hydrogen from rocks

Iwnetim Abate aims to stimulate natural hydrogen production underground, potentially unearthing a new path to a cheap, carbon-free energy source.

Algorithms Artificial Intelligence Biology Civil and environmental engineering Comparative Media Studies/Writing Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology DMSE EAPS Education, teaching, academics Electrical Engineering & Computer Science (eecs) Ethics Faculty health Laboratory for Information and Decision Systems (LIDS) machine learning Media Lab MIT Morningside Academy for Design MIT Schwarzman College of Computing MIT Sloan School of Management Robotics School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Special events and guest speakers Staff Students Technology and society

MIT Generative AI Week fosters dialogue across disciplines

During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.

Artificial Intelligence chemistry Department of Defense (DoD) DMSE machine learning Materials science and engineering National Science Foundation (NSF) Research School of Engineering

MIT engineers develop a way to determine how the surfaces of materials behave

Using machine learning, the computational method can provide details of how materials work as catalysts, semiconductors, or battery components.