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AI helps scientists design better biochar catalysts for removing antibiotic pollution

A new study uses deep learning to predict how fast biochar materials break down antibiotic contaminants, offering a faster path toward cleaner water and smarter environmental remediation. The model reveals key mechanistic insights, including catalyst properties contributing 59.3% of the predictive power.

SourceBiochar Editorial Office, Shenyang Agricultural University·JournalBiochar·TypeExperimental study·DateJun 12, 2026

New study reveals how next-generation biochar can transform pollution cleanup and circular sustainability

Emerging microwave-based techniques significantly enhance biochar's ability to remove contaminants from water and soil while improving energy efficiency. Biochar has gained attention as a sustainable solution for managing agricultural residues, food waste, and other organic by-products.

SourceBiochar Editorial Office, Shenyang Agricultural University·JournalBiochar·TypeLiterature review·DateApr 29, 2026

AI helps scientists design smarter biochar to remove antibiotics from water

Researchers developed an AI tool to predict how effectively biochar materials break down antibiotics, offering a faster and smarter way to design environmental cleanup technologies. The framework accurately estimates reaction rates and provides scientific insights into material characteristics that influence performance.

SourceBiochar Editorial Office, Shenyang Agricultural University·JournalBiochar·TypeExperimental study·DateApr 6, 2026

Hitting a nerve

Engineers at the University of Pittsburgh have created a soft material with a nerve net that mimics how simple living systems coordinate motion. The material responds to chemical reactions, producing mechanical movement without electronics or motors.

SourceUniversity of Pittsburgh·JournalPNAS Nexus·TypeComputational simulation/modeling·DateOct 20, 2025

Innovative light-activated polymerization methods unlock new possibilities for intracellular applications

Researchers developed two innovative methods for intracellular polymerization using light stimuli, offering precise spatial and temporal control. These methods have the potential to modulate various cellular functions, making them a promising avenue for therapeutic interventions.

SourceShenzhen Institute of Advanced Technology, Chinese Academy of Sciences·JournalNature Protocols·TypeCommentary/editorial·DateAug 29, 2024

New technique developed for measurement of temperature distribution inside single catalyst particle

Researchers developed imaging technique with 800nm spatial resolution to measure three-dimensional temperature distribution inside industrial zeolite-catalyst particles. The technique revealed utilization of active sites and evolutions of reaction intermediates during MTO reactions.

SourceDalian Institute of Chemical Physics, Chinese Academy Sciences·JournalJournal of the American Chemical Society·TypeCommentary/editorial·DateMar 5, 2024

Gwangju Institute of Science and Technology researchers improve the solubility of redox molecules for enhanced energy storage systems

Researchers from GIST have developed a hydrotropic-supporting electrolyte to enhance the solubility of organic redox molecules in aqueous systems. This improvement enables the creation of high-energy-density electrochemical capacitors with potential applications in redox flow batteries.

SourceGIST (Gwangju Institute of Science and Technology)·JournalACS Energy Letters·TypeExperimental study·DateJun 1, 2023

Research into the chemistry of environmentally friendly power generation at the ELTE Eötvös Loránd University

The researchers investigated the ignition of methane-air mixtures using a detailed reaction kinetics model. They identified five domains with different sets of chemical reactions leading to methane ignition. This knowledge can help increase efficiency and reduce environmental impact in heating and power generation.

SourceEötvös Loránd University·JournalProceedings of the Combustion Institute·DateDec 16, 2022

CityU chemists boost eco-friendly battery performance using catalysts with unconventional phase nanostructures

Researchers have discovered an innovative way to enhance the energy efficiency of metal-carbon dioxide batteries by introducing unconventional phase nanomaterials as catalysts. The novel design boosts battery energy efficiency up to 83.8%, contributing to carbon-neutral goals.

SourceCity University of Hong Kong·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateOct 13, 2022

Feeling out of equilibrium in a dual geometric world

Scientists at The University of Tokyo's Institute of Industrial Science have developed a novel theory for describing nonlinear dissipative phenomena in a dual geometric space. This work enables the extension of thermodynamics to complex chemical reaction networks, including those involved in living organisms' metabolism and growth.

Hitting rewind to predict multi-step chemical reactions

A new method predicts the starting materials and reaction paths of multi-step chemical reactions using only information about the target product molecule. The algorithm reduces the number of paths to explore, mitigating the combinatorial explosion that occurs in single-step reactions.

SourceHokkaido University·JournalJACS Au·TypeComputational simulation/modeling·DateApr 25, 2022

Discovery of a new kinetic factor that governs the carbon metabolism evolution of ancient microbes

Researchers developed a kinetic hypothesis governing the evolution of the Last Universal Common Ancestor (LUCA) based on simulation experiments. They discovered a kinetic factor that governs the flow of chemical reactions in the TCA cycle, validating their hypothesis for deep-branching bacteria and archaea.

SourceToyohashi University of Technology (TUT)·JournalCommunications Chemistry·TypeComputational simulation/modeling·DateDec 2, 2021

Two is better than one: Single-atom dimer electrocatalyst for green hydrogen production

Researchers developed a nickel-cobalt metal dimer on nitrogen-doped carbon that can catalyze electrolysis under both acidic and basic conditions. The new system exhibits comparable overvoltage to commercial Pt-based catalysts and shows significant activity enhancements compared to individual single-atom catalysts.

SourceInstitute for Basic Science·JournalNature Communications·TypeExperimental study·DateNov 19, 2021

Breathing new life into fuel cells

Researchers at the University of Texas at Austin have discovered a new method to improve oxygen reduction in fuel cells using iron-based single-atom catalysts. This breakthrough could unlock a level of efficiency never before realized, enabling large-scale deployment of fuel cells and their nearly limitless potential applications.

SourceUniversity of Texas at Austin·JournalNature Catalysis·DateJul 28, 2021