Polymeric materials have a broad range of mechanical and physical *** have been widely used in material science,biomedical engineering,chemical engineering,and mechanical *** introduction of active elements into the s...
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Polymeric materials have a broad range of mechanical and physical *** have been widely used in material science,biomedical engineering,chemical engineering,and mechanical *** introduction of active elements into the soft matrix of polymers has enabled much more diversified functionalities of polymeric materials,such as self-healing,electroactive,magnetosensitive,pH-responsive,and many *** further enable applications of these multifunctional polymers,a mechanistic modeling method is required and of great significance,as it can provide links between materials’micro/nano-structures and their macroscopic mechanical *** this goal,molecular simulation plays an important role in understanding the deformation and evolution of polymer networks under external loads and *** molecular insights provide physical guidance in the formulation of mechanistic-based continuum models for multifunctional *** this perspective,we present a molecular simulation-guided and physics-informed modeling framework for polymeric ***,the physical theory for polymer chains and their networks is briefly *** serves as the foundation for mechanistic-models of polymers,linking their chemistry,physics,and mechanics ***,the deformation of the polymer network is used to derive the strain energy density ***,the corresponding continuum models can capture the intrinsic deformation mechanisms of polymer *** then highlight several representative examples across multiphysics coupling problems to describe in detail for this proposed *** but not least,we discuss potential challenges and opportunities in the modeling of multifunctional polymers for future research directions.
The authors regret to report that the images for panels h (Plain PDMS) and I (MCF7-imprinted PDMS) in Fig. 3 were mistakenly taken from the same dataset, resulting in the omission of the correct image in panel h for t...
By coupling well-designed moderate-refractive-index Mie resonators to monolayer semiconductors, we have demonstrated efficient modulation of two-dimensional excitons in multiple dimensions: far-field excitonic radiati...
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ISBN:
(纸本)9781957171258
By coupling well-designed moderate-refractive-index Mie resonators to monolayer semiconductors, we have demonstrated efficient modulation of two-dimensional excitons in multiple dimensions: far-field excitonic radiation patterns, intrinsic excitonic quantum dynamics, and bosonic exciton-polariton emission lines.
Photocatalytic degradation is a promising way to treat emerging pollutants in wastewater. Recently, metal-free photocatalysts such as carbon nitride- and graphene-based materials have attracted much interest in the ph...
Photocatalytic degradation is a promising way to treat emerging pollutants in wastewater. Recently, metal-free photocatalysts such as carbon nitride- and graphene-based materials have attracted much interest in the photocatalytic degradation of emerging water pollutants owing to their visible light activity and unique electrical properties, respectively. Graphitic carbon nitride (GCN) is considered a superior visible light–active photocatalyst because of its suitable bandgap (2.7 eV). Moreover, the facile synthesis process and the high chemical and thermal stability of GCN make it one of the research hotspots in photocatalytic wastewater treatment. Besides GCN, graphene and its derivatives are utilized to support main photocatalysts by enhancing their light absorption, pollutant adsorption, and photogenerated charge separation. Furthermore, the vast modification of these materials has promoted various outstanding performances in carbon nitride- and graphene-based photocatalysts in the application of pollutant degradation. In this review, we highlight recent developments in carbon nitride- and graphene-based photocatalysts (2018–2023), focusing on the strategies to improve the activity of GCN as a visible light–active photocatalyst and the role of graphene and its derivatives as supporting materials in wastewater pollutant remediation applications.
A meta-optic platform for accelerating object classification is demonstrated. End-to-end design is used to co-optimize the optical and digital systems resulting in a high-speed and robust classifier with 93.1% accurac...
we have developed an optical feedback control system with synchronous control of active particles to study collective motion in nature. Fish-like vortex is observed within a circular confined geometry based on the par...
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ISBN:
(纸本)9781957171258
we have developed an optical feedback control system with synchronous control of active particles to study collective motion in nature. Fish-like vortex is observed within a circular confined geometry based on the particles’ velocity alignment.
Optothermal manipulation of particles at fluid interfaces was studied with a film of gold nanoparticles assembled at aqueous/oil interfaces. The unique optothermal behaviors of particles and fluid interfaces under opt...
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ISBN:
(纸本)9781957171258
Optothermal manipulation of particles at fluid interfaces was studied with a film of gold nanoparticles assembled at aqueous/oil interfaces. The unique optothermal behaviors of particles and fluid interfaces under optical heating were demonstrated.
Here, we propose phase and interfacial engineering by inserting a functional WO3 layer and selenized it to achieve a 2D-layered WSe2/WO3 heterolayer structure by a plasma-assisted selenization process. The 2D-layered ...
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