Results 81 to 90 of about 74,577 (229)

Macromolecular Condensates as Tunable Scaffolds for Bio‐Inspired Silica Hybrids

open access: yesAngewandte Chemie, EarlyView.
Dense bio‐inspired silica formation is achieved by coupling polyamine liquid–liquid phase separation with pH‐dependent silica polymerization. Silicification within polyamine condensates, enables precise control over particle size, density, and morphology.
Protap Biswas   +6 more
wiley   +2 more sources

Stage‐Specific Roles of Deep Eutectic Solvents in Recycling of Spent Lithium‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Deep eutectic solvents (DESs) offer tunable acidity, redox, and coordination properties for selective recycling of spent lithium‐ion battery cathodes. Through co‐dissolution, single‐ and two‐metal separations, DESs enable sustainable recovery of critical metals for closed‐loop regeneration of battery‐grade materials, advancing a circular economy for ...
Jingxiu Wang   +4 more
wiley   +1 more source

Speciation, Structural Refinement, and Distribution of Ti Sites in Titanium Silicalite‐1 From 47/49Ti NMR Crystallography at 28.2 Tesla

open access: yesAngewandte Chemie, EarlyView.
Titanium silicalite‐1 (TS‐1), used in industrial selective oxidation processes, depends on specific, yet still unresolved Ti sites, dispersed within the framework of an MFI‐zeolite. Applying high field (28.2 T) 47/49Ti NMR and 17O NMR spectroscopy for an array of TS‐1 catalysts enables the development of an NMR crystallography protocol and the ...
Christoph J. Kaul   +14 more
wiley   +2 more sources

Recent Advances in Nano‐Microstructured Catalysts for Electrochemical Seawater Electrocatalysis

open access: yesAdvanced Energy Materials, EarlyView.
This review highlights advances in nano‐ and microstructured catalysts for electrochemical seawater conversion. It elucidates design principles, mechanistic understanding, and machine‐learning‐assisted discovery, and outlines key challenges and future opportunities toward efficient, selective, and durable seawater electrocatalysis.
Xiaodong Shao   +5 more
wiley   +1 more source

Real‐time fault detection in multicomponent nuclear‐waste slurries through data fusion of spectroscopic sensors

open access: yesAIChE Journal, EarlyView.
Abstract Three instruments–Raman spectroscopy, attenuated total reflectance–Fourier transform infrared spectroscopy, and focused beam reflectance measurement–were used to detect sensor faults, mixing faults, and unanticipated chemistry in a system of multicomponent slurries.
Steven H. Crouse   +2 more
wiley   +1 more source

Efficient Removal of Short‐Chain Perfluoroalkyl Substances by Cavity‐Directed Aggregation in a Molecular Cage Host

open access: yesAngewandte Chemie, EarlyView.
A molecular cage exhibits strong entropy‐driven encapsulation of perfluoroalkyl substances (PFAS), accommodating up to four short‐chain guests as anionic aggregates. Guided by these molecular‐level insights, a novel host‐in‐host adsorbent is developed: mesoporous silica doped with 1 wt% cage achieves >98% removal of short‐ and long‐chain PFAS with full
Caroline V. I. Andersson   +9 more
wiley   +2 more sources

Biodiversity of flukes

open access: yesParasite, 2008
As many others parasites, speciation of flukes depends on the genetic characteristics and on ploidia. Ploidia of flukes can be different in a same species. In Asia, diploid, triploid and hybrid (2n/3n) populations are encountered.
Dreyfuss G., Rondelaud D.
doaj   +1 more source

SmartDetectAI: An AI‐Powered Web App for Real‐Time Colorimetric Detection of Heavy Metals in Water

open access: yesAdvanced Intelligent Systems, EarlyView.
SmartDetectAI integrates silver nanoparticle‐based colorimetric sensing with an AI‐powered web app for rapid, on‐site detection of toxic heavy metals in water. By combining aggregation‐driven optical changes with machine learning analysis of red ‐ green ‐ blue values, the platform achieves portable, low‐cost, and accurate monitoring of Hg‐ and Cd‐based
Nishat Tasnim   +9 more
wiley   +1 more source

Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models

open access: yesAngewandte Chemie, EarlyView.
AI‐empowered catalysis research via integrated database platform, universal machine learning interatomic potentials (MLIPs), and large language models (LLMs). ABSTRACT The integration of artificial intelligence (AI) into catalysis is fundamentally reshaping the research paradigm of catalyst discovery.
Di Zhang   +7 more
wiley   +2 more sources

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu   +6 more
wiley   +1 more source

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