Results 121 to 130 of about 11,785,126 (289)
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
, 1961 Video footage from the WBAP-TV television station in Fort Worth, Texas, to accompany a news story about a fatal shooting in ...
WBAP-TV (Television station : Fort Worth, Tex.)
core +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
Advanced Science, EarlyView.A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Advanced Science, EarlyView.Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Positive solutions for a class of quasilinear singular equations
Electronic Journal of Differential Equations, 2004 This article concerns the existence and uniqueness of solutions to the quasilinear equation $$ -Delta_p u= ho(x) f(u) quad hbox{in } mathbb{R}^N $$ with $u > 0$ and $u(x)o 0$ as $|x| o infty$.
Jose Valdo Goncalves +1 more
doaj
Real‐Time Ferroelectric Domain Wall Dynamics During Electric Poling and Depoling
Advanced Science, EarlyView.Real‐time visualization of domain wall dynamics during alternating‐current poling, direct‐current poling, and electrical depoling in relaxor‐PT ferroelectric single crystals reveals distinct field‐dependent pathways and strong path dependence. Instant polarized light microscopy uncovers reversible domain wall nucleation, motion, and reconfiguration ...
Ziqi Wang +12 more
wiley +1 more source
Signed radial solutions for a weighted p-superlinear problem
Electronic Journal of Differential Equations, 2014 We study the existence of one-signed radial solutions for weighted semipositone problems where $\Delta_p$ operator is involved and the nonlinearity is p-superlinear at infinity and has only two zeros.
Sigifredo Herron, Emer Lopera
doaj
Advanced Science, EarlyView.Plant‐based nanomaterials derived from alfalfa serve as dual‐function catalysts, coupling photodegradation and phytoremediation to degrade polyethylene under UV‐A light and in soil. The nanomaterials work synergistically with alfalfa and soil microbes, achieving efficient plastic breakdown without trophic transfer.
Haoran Liu +4 more
wiley +1 more source