‘Shore Wars:’ New research aims to resolve coastal conflict between oysters and mangroves, aiding restoration efforts
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Updates every hour. Last Updated: 2-Aug-2025 05:11 ET (2-Aug-2025 09:11 GMT/UTC)
Physicists used a machine-learning method to identify surprising new twists on the non-reciprocal forces governing a many-body system.
Researchers at Kumamoto University and Nagoya University have developed a new class of two-dimensional (2D) metal-organic frameworks (MOFs) using triptycene-based molecules, marking a breakthrough in the quest to understand and enhance the physical properties of these promising materials. This innovation opens new possibilities for multifunctional applications in gas/molecular sensors, electrochemical energy storage, and spintronic devices.
Could clothing monitor a person’s health in real time, because the clothing itself is a self-powered sensor? A new material created through electrospinning, which is a process that draws out fibers using electricity, brings this possibility one step closer.
MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform the design of faster, more accurate machine-learning models for tasks like discovering new drugs or identifying astronomical phenomena.
Scientists have discovered a new way that matter can exist – one that is different from the usual states of solid, liquid, gas or plasma – at the interface of two exotic, materials made into a sandwich.
The new quantum state, called quantum liquid crystal, appears to follow its own rules and offers characteristics that could pave the way for advanced technological applications, the scientists said.