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Harnessing sunlight to fuel the future through covalent organic frameworks

Researchers highlight the potential of covalent organic frameworks (COFs) in solar-to-fuel production, converting sunlight into hydrogen and other fuels. COF-based photocatalysts have shown promising properties, including improved catalysis and electron delocalization, making them a viable solution for future energy needs.

SourceShoolini University·JournalCoordination Chemistry Reviews·TypeLiterature review·DateAug 12, 2021

Rice expert: Using carbon is key to decarbonizing economy

Pasquali proposes splitting hydrocarbons to produce clean hydrogen energy and solid carbon materials, which could replace materials with large carbon footprints. This transition would generate robust growth in manufacturing jobs and improve production efficiency.

SourceRice University·JournalProceedings of the National Academy of Sciences·TypeCommentary/editorial·DateAug 5, 2021

Eco-friendly plastic from cellulose and water

Göttingen University researchers have developed a new type of hydroplastic polymer called cellulose cinnamate (CCi) that can be molded using little more than water at everyday temperature and pressure. The bioplastic exhibits high quality mechanical properties, making it suitable for various applications.

SourceUniversity of Göttingen·JournalNature Sustainability·DateJul 22, 2021

The birth of a subnanometer-sized soccer ball

Researchers successfully captured a video image of the bottom-up synthesis of fullerene C60, an allotrope resembling a soccer ball. The process was observed using single-molecule atomic resolution real-time electron microscopy (SMART-EM), revealing a kinetically and thermodynamically controlled cyclodehydrogenation reaction.

SourceInstitute for Basic Science·JournalACS Nano·DateMay 24, 2021

Building a foundation for high-power tech

Researchers at the University of Pittsburgh are working on new soft magnetic materials and manufacturing processes to enable ultra-high frequency power electronics switching devices. The four-year project aims to establish a foundation for ultra-wide bandgap semiconductor materials in novel power electronics switching devices.

AI agent helps identify material properties faster

A team of researchers has developed an AI agent called Crystallography Companion Agent (XCA) to analyze X-ray diffraction data and identify material properties faster. The agent collaborates with scientists to perform autonomous phase identifications, overcoming traditional neuronal network overconfidence.

SourceRuhr-University Bochum·JournalNature Computational Science·DateApr 20, 2021

Bronze Age mining sites received deliveries of pre-processed foods

Cereal plant remains from Prigglitz-Gasteil show signs of processing off-site, suggesting specialized communities relied on external food sources. This discovery adds to the discussion on Bronze Age mining sites' dietary patterns and highlights the importance of processed foods in sustaining these communities.

SourcePLOS·JournalPLOS ONE·DateMar 24, 2021

Spintronics: New production method makes crystalline microstructures universally usable

A new production method developed by physicists at Martin Luther University Halle-Wittenberg enables the transfer of crystalline microstructures to any material, advancing the production of smaller, faster, and more energy-efficient components. The method has potential applications in spintronics, magnonics, and hybrid components.

SourceMartin-Luther-Universität Halle-Wittenberg·JournalApplied Physics Letters·DateFeb 23, 2021

Semiconductor material analysis made possible with artificial intelligence

Researchers at KIST developed an AI system that estimates magnetic Hamiltonian parameters from spin structure images using deep learning techniques. The system was trained with machine learning algorithms and achieved estimation errors less than 1%, reducing the material parameter estimation process from tens of hours to instant analysis.

Optimizing the design of new materials

Researchers developed a new method to optimize materials exhibiting metal-insulator transitions (MIT) using Bayesian optimization and latent-variable Gaussian processes. The approach identified 12 previously unidentified MIT materials with optimal functionality and synthesizability.

SourceNorthwestern University·JournalApplied Physics Reviews·DateNov 6, 2020

NUS researchers develop novel process that turns waste into nutritional supplements

The NUS team has developed a method to convert crustacean shells and wood waste into L-DOPA, a widely used drug for Parkinson's disease, and Proline, essential for collagen and cartilage formation. The process combines chemical and biological approaches, potentially reducing reliance on non-renewable fossil fuels.

SourceNational University of Singapore·JournalAngewandte Chemie International Edition·DateOct 29, 2020