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.
With SCIGEN, researchers can steer AI models to create materials with exotic properties for applications like quantum computing.
If a new proposal by MIT physicists bears out, the recent detection of a record-setting neutrino could be the first evidence of elusive Hawking radiation.
Based on mini “lab-quakes” in a controlled setting, the findings could help researchers assess the vulnerability of quake-prone regions.
Cache DNA has developed technologies that can preserve biomolecules at room temperature to make storing and transporting samples less expensive and more reliable.
LIGO, Virgo, and KAGRA celebrate the anniversary of the first detection of gravitational waves and announce verification of Stephen Hawking’s black hole area theorem.
The findings may redefine how cell identity is established and enable the creation of more sophisticated engineered tissues.
Study of 3.5 million cells from more than 100 human brains finds Alzheimer’s progression — and resilience to disease — depends on preserving epigenomic stability.
An international collaboration of neuroscientists, including MIT Professor Ila Fiete, developed a brain-wide map of decision-making at cellular resolution in mice.
System developed at MIT could provide realistic predictions for a wide variety of reactions, while maintaining real-world physical constraints.
The sPHENIX detector is on track to reveal properties of primordial quark-gluon plasma.
MIT researchers designed an electrolyte that can break apart at the end of a battery’s life, allowing for easier recycling of components.
The longtime MIT professor shared a Nobel Prize for his role in developing the LIGO observatory and detecting gravitational waves.
By visualizing Escher-like optical illusions in 2.5 dimensions, the “Meschers” tool could help scientists understand physics-defying shapes and spark new designs.
A new study finds parts of the brain’s visual cortex are specialized to analyze either solid objects or flowing materials like water or sand.
This new approach could lead to enhanced AI models for drug and materials discovery.