Results 61 to 70 of about 509 (210)
Smoothed finite element method for two-dimensional elasto-plasticity [PDF]
This communication shows how the smoothed finite element method (SFEM) very recently proposed by G. R. Liu [14] can be extended to elasto-plasticity. The SFEM results are in excellent agreement with the finite element (FEM) and analytical results.
Phan-Phuong, Quyen +11 more
core +1 more source
We investigate the geometry‐governed optoelectronic anisotropy arising from dielectric confinement in quasi‐1D γ‐GaS nanoribbons with intrinsically isotropic atomic structures. Dielectric mismatch between the nanoribbon and its surroundings leads to a general polarization‐dependent photoresponse during near‐field scattering.
Jiawei Jing +16 more
wiley +1 more source
A stochastic Galerkin cell-based smoothed finite element method (SGCS-FEM) [PDF]
peer reviewedIn this paper, the cell based smoothed finite element method is extended to solve stochastic partial diff erential equations with uncertain input parameters.
Natarajan, Sundararajan +3 more
core +1 more source
A fully coupled FEM–HH model shows that ideally capacitive microelectrodes can achieve lower charge‐density thresholds than Faradaic contacts under current‐controlled stimulation. The advantage stems from the dynamics of surface current density on capacitive interfaces, which redirects current beneath adherent neurons.
Aleksandar Opančar +2 more
wiley +1 more source
A Gradient Stable Node-Based Smoothed Finite Element Method for Solid Mechanics Problems
This paper presents a gradient stable node-based smoothed finite element method (GS-FEM) which resolves the temporal instability of the node-based smoothed finite element method (NS-FEM) while significantly improving its accuracy.
Guangsong Chen, Jia Ma, Linfang Qian
core +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 more
wiley +1 more source
Hybrid smoothed finite element method for acoustic problems
It is well known that "overly-stiff" finite element (FE) model fails to provide accurate results to the Helmholtz equation with large wave numbers due to the well-known "pollution error" caused by the numerical dispersion.
Li, Eric; id_orcid +3 more
core +1 more source
Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors
Herein, a tactile sensor based on hall‐effect sensors with an auxetic structure, called Hall effect‐based auxetic tactile sensor (HEATS), is proposed. The change in magnetism resulting from the deformation of the auxetic structure is utilized for sensing.
Youngheon Yun +6 more
wiley +1 more source
Free Vibration Responses of Functionally Graded CNT-Reinforced Composite Conical Shell Panels. [PDF]
Cho JR.
europepmc +1 more source

