Results 191 to 200 of about 430,280 (280)

Surface Elasticity Based Nonlocal Vibration Analysis of Bidirectional Functionally Graded Tapered Nanobeam

Advanced Theory and Simulations, EarlyView.
This work proposes a surface elasticity‐based nonlocal model for analyzing the vibrations of bi‐directionally graded tapered nanobeam. The results demonstrate that, in absence of surface effect, the increasing value of tapered parameter leads to stiffness‐hardening of the nanobeam. However, the consideration of surface effect changes this trend and the
Chinika Dangi, Susmita Naskar
wiley   +1 more source

Modelling cross-diffusion in MHD Williamson nanofluid flow over a nonlinear stretching surface via Morlet wavelet neural networks. [PDF]

Sci Rep
Arif K, Saeed ST, Aslam MN, Younis J, Riaz A, Saleem S.   +5 more
europepmc   +1 more source

Effect of Atomic Charges on C2H2/CO2/CH4 Separation Performances of Covalent‐Organic Framework Adsorbents

Advanced Theory and Simulations, EarlyView.
Three charge assignment approaches (one quantum chemistry method‐based, the other two machine‐learning (ML) model‐based) are employed to investigate acetylene separation performances of experimental covalent‐organic frameworks. Partial Atomic Charge Predicter for Porous Materials based on Graph Convolutional Neural Network (PACMAN) ML model‐based ...
Hakan Demir, Ilknur Erucar
wiley   +1 more source

Level-Set field re-initialization: A computational model with finite element method on complicated domains. [PDF]

MethodsX
Siddiqui U, Raees F.
europepmc   +1 more source

Excitation Energy Transfer between Porphyrin Dyes on a Clay Surface: A Study Employing Multifidelity Machine Learning

Advanced Theory and Simulations, EarlyView.
Inspired by natural light‐harvesting systems, this study computationally investigates a synthetic antenna by arranging cationic free‐base porphyrin molecules on an anionic clay surface. Using a multiscale quantum mechanics/molecular mechanics (QM/MM) approach combined with a multifidelity machine learning method, excitation energies are predicted ...
Dongyu Lyu, Vivin Vinod, Matthias Holzenkamp, Yannick Marcel Holtkamp, Sayan Maity, Carlos R. Salazar, Ulrich Kleinekathöfer, Peter Zaspel   +7 more
wiley   +1 more source

Deep learning-based technique for investigating the behavior of MEMS systems with multiwalled carbon nanotubes and electrically actuated microbeams. [PDF]

MethodsX
Amir M, Rahman JU, Ali AH, Raza A, Abduljabbar ZA, Neamah HA.   +5 more
europepmc   +1 more source

Design, Simulation, and Fabrication of High‐Performance Metamaterial Absorber for EMI Mitigation and THz NDT/Imaging Applications: A Shape‐Preserved GHz‐to‐THz Transition Approach

Advanced Theory and Simulations, EarlyView.
A novel metamaterial absorber is designed, simulated, and validated for both 5G mmWave and THz applications, achieving >95.8% and 90% absorption, respectively. Its polarization‐insensitive, scalable design enables applications in THz NDT, imaging, and EMI shielding.
Ahmet Teber
wiley   +1 more source

Counterexamples to regularities for the derivative processes associated to stochastic evolution equations. [PDF]

Stoch Partial Differ Equ
Hefter M, Jentzen A, Kurniawan R.
europepmc   +1 more source

Energy Symmetry Breaking of Dirac and Weyl Fermions in Magnetized Spinning Conical Geometries

Advanced Theory and Simulations, EarlyView.
Exact solutions for relativistic fermions in magnetized, spinning conical geometries reveal defect‐induced symmetry breaking between fermion and antifermion energies. Energy levels depend on the magnetic field, background geometry, and fractionalized spin. When the defect's spin dominates, quantum effects diminish.
Abdullah Guvendi, Omar Mustafa
wiley   +1 more source