Results 141 to 150 of about 390,297 (315)
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
Advanced Science, EarlyView.High‐throughput screening led to the identification of 67 Z‐scheme heterojunctions (comprising 2D magnetic transition metal halides and non‐magnetic transition metal chalcogenides). For CrI3/MoTe2 and CrI3/WTe2, electronic structure analysis demonstrated that synergistic crystallographic point group and built‐in electric field effects generate a ...
Hongyang Ren +8 more
wiley +1 more source
MetalCenter‐Dependent Selectivity Divergence in MN4 Single‐Atom Catalysts for Aerobic HMF Oxidation
Advanced Science, EarlyView.Two single‐atom catalysts with M‐N4 configurations (FeN4 and CoN4) were developed for selective HMF oxidation. FeN4 achieves 93.9% selectivity toward FFCA via superoxide anions (O2•−), while CoN4 preferentially produces FDCA through hydroxyl radicals (•OH). DFT calculations reveal that distinct adsorption energies and charge redistribution at the metal
Haoyu Wang +6 more
wiley +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
Polluting to pollute or “polluting” to protect?
Marine Pollution Bulletin, 2013 openaire +2 more sources
Advanced Science, EarlyView.Mid‐infrared photothermal imaging enables multidimensional profiling of micro‐ and nanoplastics in bottled water. A total of 9.9 × 104 particles L−1 is detected, with 64% in the nanoscale regime. Spectral evolution, including peak narrowing and band shifts, reveals local chain reorganization in polyethylene terephthalate (PET), highlighting intrinsic ...
Xinyu Deng +4 more
wiley +1 more source
Anaerobic microbial degradation of organic pollutants with chlorate as electron acceptor
, 2010 Aliphatic and aromatic hydrocarbons are two groups of compounds that are widespread pollutants. The aerobic microbial degradation of aliphatic and aromatic hydrocarbons proceeds in general fast and has been widely studied, while the biodegradation in ...
Mehboob, F.
core
Engineering Microbial Particles for Next‐Generation Biomedical Platforms
Advanced Science, EarlyView.Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li +7 more
wiley +1 more source
Characterisation and source identification of selected pollutants in house dust
, 2011 House dust is a heterogeneous matrix, which contains a number of biological materials and particulate matter gathered from several sources. It is the accumulation of a number of semi-volatile and non-volatile contaminants.
Elbagir, Sohair G.
core
Achieving High‐Density and Stress‐Resilient Maize Breeding Via Germplasm Innovation
Advanced Science, EarlyView.Global population growth and climate change have exacerbated the global food crisis. This perspective presents a conceptual framework focusing on enhancing population advantages. Several novel breeding objectives are proposed to improve density tolerance and stress resistance for yield improvement.
Xinlong Li +9 more
wiley +1 more source