Results 111 to 120 of about 241,056 (327)
FOCUS: A Four‐In‐One Consolidated Unison Strain Sensor with Enhanced Sensitivity
Through a folding transformation that stacks four printed liquid metal sensors into a unified 3D orthogonal construct, FOCUS harnesses complementary bidirectional resistance responses within a Wheatstone bridge. This architecture yields fivefold sensitivity enhancement and 25 µm resolution, overcoming LM sensors’ micro‐strain limitations and enabling ...
Zimeng Wang +6 more
wiley +1 more source
Some Properties Of Cartesian Product Of Two Fuzzy Normed Spaces
Raghad Ibrahim Sabre
openalex +2 more sources
MgF2 exhibits a speed‐dependent mechanoluminescence (ML) color distribution arising from distinct ML lifetimes, showing blue emission under slow sliding and multicolor emission under fast sliding. A promising method for evaluating ML lifetime is proposed based on the trailing effect. By synergistically integrating instantaneous and persistent ML with a
Shulong Chang +8 more
wiley +1 more source
On hyper-Hamiltonian Cartesian product of undirected cycles [PDF]
Zbigniew R. Bogdanowicz
doaj +1 more source
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
Manifolds of mappings on Cartesian products [PDF]
Helge Glöckner, Alexander Schmeding
openalex +1 more source
Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe +4 more
wiley +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu +5 more
wiley +1 more source

