The NSF Inouye Solar Telescope delivers record-breaking images of solar flare, coronal loops
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Updates every hour. Last Updated: 21-Dec-2025 16:11 ET (21-Dec-2025 21:11 GMT/UTC)
The development of highly complex chemical systems, self-assembled by the donor-acceptor and/or noncovalent interactions, lays at the core of supramolecular chemistry. Recently, increasing attention has been paid to structurally adaptable molecular systems and robust noncovalent microporous materials (NPMs), also known as molecular porous materials (MPMs) or porous molecular crystals (PMCs), based on the self-assembly of discrete molecules driven by weak interactions The utilization of molecular metal clusters as building units of NPMs is a promising strategy, combining the versatile functionality of organic and inorganic subunits with the softness and flexibility of molecular solids controlled by noncovalent interactions. However, the development of robust porous functional frameworks based on self-assembly driven by noncovalent forces is still highly challenging.
Scientists have devised a new method for mapping the spottiness of distant stars by using observations from NASA missions of orbiting planets crossing their stars’ faces. The model builds on a technique researchers have used for decades to study star spots. By improving astronomers’ understanding of spotty stars, the new model — called StarryStarryProcess — can help discover more about planetary atmospheres and potential habitability using data from telescopes like NASA’s upcoming Pandora mission.
Harvard researchers have created an electro-optic digital-to-analog converter that bridges electronic and photonic signals for efficient photonic computing and signal processing.
Rice’s Martí, Sarlah, Wang honored with national American Chemical Society awards.
Researchers have unveiled Rainbow, a first-of-its-kind multi-robot self-driving laboratory that autonomously discovers high-performance quantum dots – semiconductor nanoparticles critical for next-generation displays, solar cells, LEDs and quantum-engineering technologies. Combining advanced robotics with artificial intelligence, Rainbow can conduct and analyze up to 1,000 experiments per day without human intervention, dramatically accelerating the pace of materials discovery.