Archive: 2026-04
In the US, in March, more electricity came from renewables than gas.
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The first time renewables have passed gas.
(2026-04-12
· climate-hope, energy, mlp, renewable, us
)
Metal–organic framework: Coordination networks and molecular sponges for gas storage 🧽
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Metal–organic frameworks (MOFs) consist of metal ions or clusters coordinated to organic ligands to form one-, two-, or three-dimensional structures. They function as customizable molecular sponges, providing a "Lego block" framework with ultra-high surface areas that can be tuned for specific chemical guests. This architectural precision makes them ideal for high-capacity hydrogen storage, carbon capture, and targeted drug delivery.
(2026-04-10
· carboncapture, chemistry, materialsscience, mlp, mofs, nanotechnology, storage, wiki, 🧽
)
Latent Space: ML for Material Science, active learning for chemical discovery 🔬
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Heather Kulik discusses how machine learning and AI are accelerating the discovery of new materials, specifically using active learning to navigate massive chemical search spaces. This approach is being applied to metal-organic frameworks for direct CO2 air capture, essentially using AI as a guide to snap together the right molecular Lego blocks for carbon sequestration.
(2026-04-10
· ai, carboncapture, chemistry, climate-hope, machinelearning, materials-science, ml, mlp, mofs, 🔬, 🧬
)
The 2025 Nobel Prize in Chemistry: Metal Organic Frameworks, a lego block for precision chemicals
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Susumu Kitagawa, Richard Robson, and Omar Yaghi were awarded the Nobel Prize for the development of metal-organic frameworks (MOFs), crystalline materials that use metal ions as cornerstones linked by organic molecules. "Lego blocks" for composing precise chemical structures, creating highly porous "molecular rooms" capable of harvesting water from desert air or capturing carbon dioxide.
(2026-04-10
· chemistry, materials-science, mlp, nanotechnology, nobelprize
)