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Two-dimensional nanomaterial (2-D NM) frameworks, especially those comprising graphene oxide, have received extensive research interest for membrane-based separation processes and desalination. However, the impact of horizontal defects in 2-D NM frameworks, which stem from nonuniform deposition of 2-D NM flakes during layer build-up, has been almost entirely overlooked. In this work, we apply Monte Carlo simulations, under idealized conditions wherein the vertical interlayer spacing allows for water permeation while perfectly excluding salt, on both the formation of the laminate structure and molecular transport through the laminate. Our simulations show that 2-D NM frameworks are extremely tortuous (tortuosity ≈10), with water permeability decreasing from 20 to <1 L m h bar as thickness increased from 8 to 167 nm. Additionally, we find that framework defects allow salt to percolate through the framework, hindering water-salt selectivity. 2-D NM frameworks with a packing density of 75%, representative of most 2-D NM membranes, are projected to achieve <92% NaCl rejection at a water permeability of <1 L m h bar, even with ideal interlayer spacing. A high packing density of 90%, which to our knowledge has yet to be achieved, could yield comparable performance to current desalination membranes. Maximizing packing density is therefore a critical technical challenge, in addition to the already daunting challenge of optimizing interlayer spacing, for the development of 2-D NM membranes.
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http://dx.doi.org/10.1021/acs.est.8b06880 | DOI Listing |
RSC Adv
August 2025
Institute of Chemistry, Vietnam Academy of Science and Technology 18 Hoang Quoc Viet Cau Giay Hanoi 100000 Vietnam
Hazardous ultraviolet (UV) radiation found in sunlight can seep into food packaging and cause unfavorable physicochemical changes in food items. This study aimed to develop starch-based polymeric biofilms with UV-blocking capability by incorporating CeUiO-66 metal-organic framework nanoparticles (Ce66 NPs). These nanoparticles were synthesized a solvothermal method using formic acid as a modulator.
View Article and Find Full Text PDFJ Phys Chem C Nanomater Interfaces
August 2025
Department of Chemical Engineering, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, Pennsylvania 15213, United States.
A microkinetic model for ethylene hydrogenation on Pd that includes the presence of subsurface hydrogen (H') was developed by adapting the existing Horiuti-Polanyi framework. This reaction mechanism, known as the Dual Subsurface Hydrogen (2H') mechanism, is an extension of a reaction model that was initially proposed to resolve inconsistencies in the Langmuir-Hinshelwood mechanism for the H-D exchange reaction. The 2H' mechanism accurately characterizes surface reactions on Pd-based alloy surfaces by accounting for the presence of H' in the subsurface, which activates the adsorbed H atoms on the top surface, causing them to react.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
August 2025
Physics-informed neural networks (PINNs) have made significant strides in modeling dynamical systems governed by partial differential equations (PDEs). However, their generalization capabilities across varying scenarios remain limited. To overcome this limitation, we propose physics-informed dynamics representation learner (PiDo), a novel physics-informed neural PDE solver designed to generalize effectively across diverse PDE configurations, including varying initial conditions, PDE coefficients, and training-time horizons.
View Article and Find Full Text PDFExtrapolation plays a critical role in machine/deep learning (ML/DL), enabling models to predict data points beyond their training constraints, particularly useful in scenarios deviating significantly from training conditions. This article addresses the limitations of current convolutional neural networks (CNNs) in extrapolation tasks within image restoration and compressed sensing (CS). While CNNs show potential in tasks such as image outpainting and CS, traditional convolutions are limited by their reliance on interpolation, failing to fully capture the dependencies needed for predicting values outside the known data.
View Article and Find Full Text PDFJ Am Chem Soc
August 2025
Department of Applied Biology and Chemical Technology and Research Institute for Smart Energy, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR 999077, P. R. China.
The piezoelectric field within two-dimensional (2D) piezo-photocatalysts offers a promising strategy for enhancing charge carrier kinetics to convert CO into valuable chemicals. However, the diversity of available 2D piezo-photocatalysts remains limited. Here, we present a highly conjugated Ni-acetylide framework (HETP-Ni-GY) featuring triangular atomic pores arranged in a hexagonal symmetry, constructed by incorporating Ni-complex into the graphdiyne (GDY) framework Ni-bis(acetylide) linkages (-C≡C-Ni(PEt)-C≡C-).
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