Results 171 to 180 of about 179,876 (307)

Nanoscale Secondary Ion Mass Spectrometry for Quantifying Membrane Fouling: Fouling Layer Structure and Chemical Interaction

open access: yesAdvanced Science, EarlyView.
Nanoscale secondary ion mass spectrometry (Nano SIMS) is established as a powerful analytical tool to visualize and quantify the membrane fouling layers. ABSTRACT Membrane technology has garnered considerable attention for applications in wastewater treatment and resource recovery. Nevertheless, membrane fouling remains a major barrier, yet the lack of
Mengfei Wu   +4 more
wiley   +1 more source

Involvement of Reactive Oxygen Species in ABA-Induced Increase in Hydraulic Conductivity and Aquaporin Abundance. [PDF]

open access: yesInt J Mol Sci, 2021
Sharipova G   +6 more
europepmc   +1 more source

Environmental Stability and Electronic Properties of Individual Flakes of Ti2CTx MXene

open access: yesAdvanced Electronic Materials, EarlyView.
The paper presents a synthesis of large Ti2CTx MXene flakes with sizes reaching 40 µm and examines their environmental stability and electronic behavior. It demonstrates that monolayer flakes degrade rapidly in ambient conditions, leading to semiconducting‐like behavior with low conductivity and mobility. In contrast, multilayer flakes exhibit enhanced
Md. Ibrahim Kholil   +5 more
wiley   +1 more source

Effect of modified materials on the hydraulic conductivity of loess soil. [PDF]

open access: yesSci Rep
Guo L   +6 more
europepmc   +1 more source

Pressure‐Induced Structural and Magnetic Evolution in Layered Antiferromagnet YbMn2Sb2

open access: yesAdvanced Electronic Materials, EarlyView.
Pressure tunes the delicate balance between structure, magnetism, and electronic states in quantum materials. In YbMn2Sb2, high‐pressure X‐ray and neutron diffraction reveal a trigonal‐to‐monoclinic transition near 3.5 GPa, accompanied by unconventional magnetic ordering.
Mingyu Xu   +9 more
wiley   +1 more source

Graph‐based imitation and reinforcement learning for efficient Benders decomposition

open access: yesAIChE Journal, EarlyView.
Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman   +3 more
wiley   +1 more source

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