Results 191 to 200 of about 24,371 (264)

Atomically Dispersed Mo–S Sites Boost NiFe–Layered Double Hydroxide for Industrial‐Level Seawater Electrolysis

open access: yesAdvanced Energy Materials, EarlyView.
(Mo–S)1@NiFe–LDH promotes the rapid structural transition to the active oxyhydroxide phase, enabling selective seawater oxidation at industrial‐level current densities. Atomically dispersed Mo–S sites within the LDH lattice efficaciously modulate the structural flexibility to lower the thermodynamic barrier for early‐phase activation.
Jae Kwan Lee   +14 more
wiley   +1 more source

The Impacts of Health and Environmental Information Nudges on Meat Choices: Where Does Goat Meat Fit?

open access: yesAgribusiness, EarlyView.
ABSTRACT Amidst a recent surge in US goat meat imports to meet growing demand, this study contributes to the meat demand literature by examining consumer preferences for goat meat, a relatively healthy and environmentally friendly alternative to other popular meats.
Binod Khanal   +2 more
wiley   +1 more source

Essential Oils and Bioproducts for Flea Control: A Critical Review. [PDF]

open access: yesInsects
Campos DR   +4 more
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod   +10 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu   +4 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy   +8 more
wiley   +1 more source

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