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#sustainableenergy

1 post1 participant0 posts today
Yonhap Infomax News

Samsung C&T has secured a 1.91 trillion won ($1.39 billion) EPC contract from QatarEnergy LNG to build one of the world’s largest carbon compression and transportation facilities in Qatar, marking a major expansion into sustainable energy infrastructure.

en.infomaxai.com/news/articleV

Yonhap Infomax · Samsung C&T Wins 2 Trillion Won Qatar Carbon Compression and Transportation Facility Contract
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ScienceOpen

'Marangoni-driven self-assembly of hierarchical PAO/PVA membranes for highly efficient uranium extraction from seawater' - an @EDPSciences National Science Open (NSO) publication on scienceopen.com/document?vid=1

ScienceOpenMarangoni-driven self-assembly of hierarchical PAO/PVA membranes for highly efficient uranium extraction from seawater<p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="first" dir="auto" id="d1115961e193">Extraction of uranium from seawater offers a sustainable approach for nuclear fuel supply. Poly(amidoxime) (PAO) adsorbents have emerged as a highly promising extraction approach. However, there are still challenges that hinder the practical application of PAO-based adsorbents in considering the extraction performance and durability. To address these challenges, we developed a mechanically robust PAO/polyvinyl alcohol (PAO/PVA) composite superspreading membrane (SSPP) via Marangoni effect-driven interfacial self-assembly. This strategy constructs hierarchically porous structures with gradient pore sizes, promoting efficient ion transport and access to functional adsorption sites. The PVA integration enhances hydrophilicity and forms a hydrogen-bonded network that prevents structural shrinkage, while boosting mechanical strength, making the adsorbent more suitable for practical use. Consequently, the optimized membrane achieves a high uranium adsorption capacity of 7.42 mg g <sup>−1</sup> in natural seawater within 10 days. This work provides an interfacial self-assembly strategy for advanced extraction membranes and demonstrates significant potential for sustainable uranium extraction from seawater. </p>
#UraniumExtraction#NuclearEnergy#MaterialsScience
Lexmilian S. R. B. de Mello

AI just designed a battery material that defies the laws of chemistry.

Researchers have used AI to design novel battery materials with the potential to dramatically improve energy storage. The discovery could lead to longer-lasting, faster-charging, and more sustainable batteries. Carnegie Mellon's artificial intelligence system created a completely new class of materials that shouldn't exist according to traditional chemistry rules, yet demonstrates extraordinary energy storage capabilities in laboratory tests. The AI-designed compounds combine incompatible elements in ways that human chemists dismissed as impossible, creating battery electrodes that maintain 99% capacity after 50,000 charge cycles. Most remarkably, these materials can charge to full capacity in under 30 seconds while storing 10 times more energy than conventional lithium-ion batteries. The breakthrough occurred when the AI ignored human chemical intuition and explored combinations that violate established bonding principles but work at the quantum level. This represents the first time artificial intelligence has discovered entirely new physical laws by designing materials that challenge our fundamental understanding of chemistry.

#AI#BatteryTech#EnergyStorage
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