Results 131 to 140 of about 76,946 (296)
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
Cosmic radiation on Earth responds to heliospheric, geomagnetic, atmospheric, and lithospheric changes. In order to use its signal for soil hydrological monitoring, the signal of thermal and epithermal neutron detectors needs to be corrected for external
Martin Schrön +8 more
doaj +1 more source
This study refines the Crystal Hamiltonian Graph Network to predict energies, structures, and lithium‐ion dynamics in halide electrolytes. By generating ordered structural models and using an iterative fine‐tuning workflow, we achieve near‐ab initio accuracy for phase stability and ionic transport predictions.
Jonas Böhm, Aurélie Champagne
wiley +1 more source
Giant Magnetostriction in Ferrimagnetic SmFe5As3
SmFe5As3 is a newly discovered ferrimagnetic material that displays peculiar volumetric effects as a function of temperature. As a result of two magnetic sublattices—one with d$d$‐electrons of Fe and another with f$f$‐electrons of Sm—single crystals of SmFe5As3 show negative (blue), positive (pink), and zero (beige) thermal expansion along the [010 ...
Oksana Karychort +21 more
wiley +1 more source
Fe3O4 nanoparticles coated with the bifunctional peptide LCI‐DZ‐MBP1, where LCI binds the iron oxide surface and MBP1 acts as a universal plastic‐binding peptide, combined with pyrolysis‐gas chromatography/mass spectrometry (Py‐GC/MS), enable efficient enrichment, precise detection, and quantification of mixed plastics (PS, PE, PP, PET, PMMA, PC, Nylon
Maochao Mao +5 more
wiley +1 more source
ABSTRACT Liquid hydrogen, a zero‐carbon and high–energy‐density fuel, is a promising option for future oceangoing vessels. During maritime transportation, onboard cryogenic tanks are exposed to ambient heat leakage and ship‐induced roll motion, which can trigger sloshing and fundamentally modify the coupled thermo‐fluid processes governing boil‐off and
Yan Deng +5 more
wiley +1 more source
Exploring the links between Large Igneous Provinces and dramatic environmental impact
An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
Jessica H. Whiteside +3 more
wiley +2 more sources
Variable Temperature Studies of Two Calcium Uranates α‐Ca3UO6 and Ca2UO5
The structures and thermal responses of the calcium uranates α‐Ca3UO6 and Ca2UO5 were investigated using in situ synchrotron x‐ray diffraction and neutron powder diffraction. Despite the very similar chemical compositions, the structural response of the two calcium uranates is shown to be complex and varied.
Maria K. Nicholas +8 more
wiley +1 more source
Can hydrophobic, shape‐selective zeolites efficiently remove the persistent pharmaceutical CBZ from water? This work moves beyond the static picture of interaction energies by modeling diffusion with umbrella sampling and machine‐learned potentials. Even high intrinsic diffusion barriers can be overcome through exergonic adsorption from water, yielding
Jakob Brauer +4 more
wiley +1 more source

