Results 141 to 150 of about 1,153,224 (274)
The sidechain doped polymer is investigated to have great potential for pressure detection due to the advantages including molecular rearrangement and charge‐density perturbance induced by micro‐mechanical deformation. This sensor displayed low‐pressure detection limit of 0.7 Pa as well as a rapid response time of 18.8 ms, enabling multi‐mode motion ...
Huimin Lu+14 more
wiley +1 more source
Enhanced Deformability Through Distributed Buckling in Stiff Quasicrystalline Architected Materials
Quasi‐periodic metamaterials combine stiffness and large‐strain deformability, overcoming limitations of traditional stretching‐dominated periodic designs that are prone to global buckling instabilities and catastrophic layer collapses. By leveraging non‐uniform force chains, they achieve high isotropic stiffness, stable deformation, and remarkable ...
Matheus I. N. Rosa+4 more
wiley +1 more source
Electron‐Beam‐Induced Adatom‐Vacancy‐Complexes in Mono‐ and Bilayer Phosphorene
The stability of adatom‐vacancy‐complexes in mono‐ and bilayer phosphorene is shown via atomically‐resolved scanning transmission electron microscopy (STEM). With the help of density‐functional theory (DFT) simulations also several additional defect configurations were identified. Simulations are also used to understand defect dynamics.
Carsten Speckmann+9 more
wiley +1 more source
Enhanced Oxygen Evolution Kinetics via Single‐Atom Catalyst Design: A Review
Single atom catalysts (SACs) in oxygen evolution reaction (OER). TOC shows key aspects like synthetic strategies, supports‐selection principle, metal types, and OER performances in SACs. Abstract This review highlights recent advancements in enhancing oxygen evolution reaction kinetics through the design of single‐atom catalysts.
Zhen Yuan+7 more
wiley +1 more source
This paper presents an identification model based on quantum neural network for engineering systems. Quantum neural network (QNN) is a superior strategy to improve the computational efficiency for conventional neural network structures due to their ...
Hossam Khalil+4 more
doaj
Advancement in Colloidal Metasurfaces: Approaches for Scalable Photonic Devices
This perspective explores colloidal metasurfaces composed of plasmonic and emitting nanoparticles assembled by laser interference lithography and template‐assisted self‐assembly methods. Precise design strategies achieve directional emission, low‐threshold lasing, and tunable photonic bandgaps.
Sezer Seçkin+2 more
wiley +1 more source
Optimization on multifractal loss landscapes explains a diverse range of geometrical and dynamical properties of deep learning. [PDF]
Ly A, Gong P.
europepmc +1 more source
Laser‐Induced Plasma Effects on Bond Breaking in High‐Density Polyethylene Pyrolysis
This study introduces a novel application of Laser‐Induced Breakdown Spectroscopy (LIBS) for bond breaking in high‐density polyethylene (HDPE), an area previously unexplored in laser‐plastic interactions. For the first time, a numerical model has been developed to differentiate between photon‐induced and laser field‐induced plasma, demonstrating the ...
Rao Adeel Un Nabi+5 more
wiley +1 more source
Self-utility distance as a computational approach to understanding self-concept clarity. [PDF]
García-Arch J, Korn CW, Fuentemilla L.
europepmc +1 more source
Progress in Surface Plasmon and Other Resonance Biosensors for Biomedical Applications
This is the shortened version: Recent advancements in surface plasmon resonance and other optical resonance biosensors for biomedical applications are presented. Advanced sensing strategies are examined for the detection of diverse analytes, integration of nanomaterials and machine learning, and emerging nonplasmonic modes like guided mode resonance ...
Faten Bashar Kamal Eddin+8 more
wiley +1 more source