Computational modeling guides development of new materials
Chemical engineers use neural networks to discover the properties of metal-organic frameworks, for catalysis and other applications.
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Chemical engineers use neural networks to discover the properties of metal-organic frameworks, for catalysis and other applications.
A cyber systems expert at Lincoln Laboratory, Okhravi will help investigate bold solutions to fundamental cyber vulnerabilities.
Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2.
Studying these organoids could help researchers develop and test new treatments for pancreatic cancer, one of the deadliest types of cancer.
ARROW, a reconfigurable fiber optics network developed at MIT, aims to take on the end of Moore’s law.
Professor Tim Jamison’s company Snapdragon Chemistry helps turn the latest innovations in chemistry into impactful drugs.
The advance could boost recommendation algorithms and internet search.
“Organs-on-a-chip” system sheds light on how bacteria in the human digestive tract may influence neurological diseases.
The design, which uses entangled atoms, could help scientists detect dark matter and study gravity’s effect on time.
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.
Adding a module that mimics part of the brain can prevent common errors made by computer vision models.
“We need more technologists in the room while policies are formulated,” says the MIT senior.
Magnetic nanodiscs can be activated by an external magnetic field, providing a research tool for studying neural responses.
Fabrication technique will enable SkyWater Technology to manufacture a range of electronics that can withstand harsh radiation environments.
Exotic states called Kohn anomalies could offer clues to why some materials have the electronic properties they do.