Results 101 to 110 of about 442,574 (264)
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
House Task Force on Pollution -- November 7, 1969
, 1969 Radioactivity release of nuclear power plants : a quantative assessment / C. H. Wang, Radiation Center, Oregon State University -- Review of such possible meteorological problems as could be encountered from water vapor releases from cooling towers and ...
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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
An Institutional Analysis of Environmental Pollution Disputes in Taiwan: Cases of 'Self-Relief' [PDF]
During the late 1980s and early 1990s in Taiwan, people's protests against environmental pollution often took the form of "self-relief," meaning that they attempted to fight polluters using their own resources, without relying on legal or administrative ...
Terao, Tadayoshi
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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
On The Pollution Content of China’s Trade: Clearing the Air? [PDF]
This study compares alternative measures of the potential and actual pollution content of China’s trade using an environmental I-O methodology. Using the conventional, potential measure adopted by other researchers, we find that China ‘saves’ on local ...
Chris Milner, Fangya Xu
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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
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
Pollution-Reducing and Resource-Saving Technological Progress [PDF]
In this paper we survey the theoretical literature on both pollution-reducing and resource-saving technological progress. The literature can be divided into two strands. One strand deals with microeconomic models which investigate incentives to adopt and
Requate, Till, Nelissen, Dagmar
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