To capture carbon from the environment, we need to first decarbonize the grid
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Updates every hour. Last Updated: 4-Jun-2026 13:16 ET (4-Jun-2026 17:16 GMT/UTC)
Most carbon capture research focuses on the chemistry. A new study from CU Boulder takes a big-picture look and asks hard questions about the whole system: what does it cost, at scale, and under real-world conditions?
In the Journal of Renewable and Sustainable Energy, researchers in Taiwan — where expanding renewable energy is challenging given its limited size and geographical constraints — compared land-based solar farms and the island nation’s first large-scale commercial offshore floating photovoltaic installation. They found that offshore systems can generate more electricity over their lifetime, possibly because of the cooling effect of the surrounding water. The study yielded comprehensive insights into the carbon footprint of both types of systems, offering guidance for mitigating CO2 emissions.
The new “MIGHTY” system rapidly generates travel routes for autonomous robots navigating in uncertain situations, allowing them to react to obstacles in milliseconds while staying on a smooth flight path that minimizes travel time.
A new framework allows AI models that have already been trained to learn new tasks without sacrificing performance when performing old tasks. The framework, called CHEEM, also improves an AI model’s operating efficiency by using fewer computational steps to perform simpler tasks.
A new study led by Dr Lin Su of Queen Mary University of London, published today in the Journal of the American Chemical Society, describes a new integrated solar reactor in which engineered Escherichia coli (E. coli) are grown directly inside the same liquid that converts CO₂ into a usable energy source using sunlight. In future, this technology may be used to make environmentally clean chemicals, plastics or even microbial protein.
A research paper by scientists from Nanjing Medical University developed a biomimetic nanoparticle (NP) system composed of macrophage-membrane-coated Prussian blue@KGN (KGN@PB@CM) loaded into a thermosensitive Pluronic@F127/hyaluronic acid (HA-F127) hydrogel for synergistic tendon healing.
The new research paper, published on Apr. 23 in the journal Cyborg and Bionic Systems, developed a biomimetic nanoparticle system that simultaneously tackles clinical challenges, accelerating tendon repair through a “dual‑modulation” approach.