<span class="vcard">Zach Winn | MIT News</span>
Zach Winn | MIT News
Artificial Intelligence Chemical engineering chemistry Computer modeling Computer science and technology DMSE machine learning Materials science and engineering Research School of Engineering

A better way to model the behavior of metal alloys

MIT researchers’ approach captures subtle atomic patterns, improving predictions of material properties.

Artificial Intelligence Computer science and technology Energy Energy efficiency Energy storage Innovation and Entrepreneurship (I&E) Nuclear science and engineering School of Engineering Startups Sustainability Sustainable computing Technology and society Water

Startup’s nuclear-inspired cooling system could make data centers more sustainable

Founded by two researchers from MIT, Ferveret reduces the amount of energy and water required to cool the chips that power AI.

Alumni/ae Alzheimer's Artificial Intelligence Brain and cognitive sciences Disease Harvard-MIT Health Sciences and Technology Health Care Health sciences and technology Innovation and Entrepreneurship (I&E) Institute for Medical Engineering and Science (IMES) machine learning Mental health Neuroscience Parkinson's School of Engineering School of Science Startups

Beacon Biosignals is mapping the brain during sleep

Founded by Jake Donoghue PhD ’19 and former MIT researcher Jarrett Revels, the company is creating an AI-driven platform to help diagnose and treat disease.

Alumni/ae Artificial Intelligence Bioengineering and biotechnology Biological engineering Drug development Innovation and Entrepreneurship (I&E) machine learning Proteins School of Engineering Startups

Bringing AI-driven protein-design tools to biologists everywhere

Founded by Tristan Bepler PhD ’20 and former MIT professor Tim Lu PhD ’07, OpenProtein.AI offers researchers open-source models and other tools for protein engineering.

Artificial Intelligence Batteries Computer modeling Department of Energy (DoE) DMSE Electrical engineering and computer science (EECS) machine learning Manufacturing Materials science and engineering Nanoscience and nanotechnology National Science Foundation (NSF) Nuclear science and engineering Research School of Engineering Semiconductors Solar

MIT researchers use AI to uncover atomic defects in materials

A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.

Artificial Intelligence DMSE Faculty machine learning Materials science and engineering Profile Research School of Engineering

Accelerating science with AI and simulations

Associate Professor Rafael Gómez-Bombarelli has spent his career applying AI to improve scientific discovery. Now he believes we are at an inflection point.

Artificial Intelligence Chemical engineering Computer science and technology DMSE machine learning Materials science and engineering National Science Foundation (NSF) Research School of Engineering

How generative AI can help scientists synthesize complex materials

MIT researchers’ DiffSyn model offers recipes for synthesizing new materials, enabling faster experimentation and a shorter journey from hypothesis to use.

Alumni/ae Artificial Intelligence Electrical engineering and computer science (EECS) Innovation and Entrepreneurship (I&E) machine learning Robotics School of Engineering Startups

Robots that spare warehouse workers the heavy lifting

Founded by MIT alumni, the Pickle Robot Company has developed machines that can autonomously load and unload trucks inside warehouses and logistic centers.

Algorithms Alumni/ae Artificial Intelligence Disease Electrical engineering and computer science (EECS) health Innovation and Entrepreneurship (I&E) machine learning Medicine School of Engineering Startups

Helping scientists run complex data analyses without writing code

Co-founded by an MIT alumnus, Watershed Bio offers researchers who aren’t software engineers a way to run large-scale analyses to accelerate biology.

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.