Results 211 to 220 of about 15,207 (302)

Uncertainty Quantification with Stochastic Finite Elements

, 2007
Hermann G. Matthies
core   +1 more source

Non-Markovian Electron Transfer in Ligand-Receptor Complexes: Insights from Non-Gaussian Anharmonic Baths. [PDF]

J Phys Chem B
Haseeb MW, Toutounji M.
europepmc   +1 more source

ParamNet: A Physics‐Guided Deep Learning Framework for Intelligent Self‐Inversion of Vacuum Optical Levitation Systems

Advanced Intelligent Systems, EarlyView.
A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng, Wenfeng Fan, Feng Li, Jian Wu, Wei Quan   +4 more
wiley   +1 more source

Parametric Modeling of Cochlear Electrode Arrays Using Design of Experiments and Finite Element Analysis (FEA). [PDF]

Appl Bionics Biomech
Alaboodi AS, Alsamri J.
europepmc   +1 more source

Research on Simulation of Fatigue Crack Growth in LNG Storage Tanks and Prediction of Residual Service Life. [PDF]

Materials (Basel)
Zhang Q, Yi X, Li Z, Zhou W, Liu J.
europepmc   +1 more source

Impact of Cattaneo–Christov Heat and Mass Flux on MHD Hybrid Nanofluid Flow Over an Extending Surface With Convective and Mass Flux Effects

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study investigates the flow of a magnetized hybrid nanofluid over a permeable stretching surface. The mass and thermal transport within the system is regulated using the Cattaneo–Christov flux theory. The fluid is additionally subjected to thermophoresis, chemical reaction, Brownian motion, and activation energy effects.
Ebrahem A. Algehyne, Abdul Bariq, Mounirah Areshi, Fahad Maqbul Alamrani, Zehba Raizah, Izharul Haq, Anwar Saeed   +6 more
wiley   +1 more source

Deterministic, stochastic, and mean-field PDE models in neuroscience. [PDF]

Front Comput Neurosci
Çetin C, Piqueira JRC, İzgi B, Peker-Dobie A, Ahmetolan S, Özkaya M.   +5 more
europepmc   +1 more source

Research on Heat Transfer Enhancement of Spiral Grooved Tube Heat Exchangers Based on CFD and Artificial Intelligence

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Driven by the energy crisis and carbon neutrality goals, high‐efficiency heat exchange equipment has become a core demand in the industrial sector. The spiral grooved double‐pipe heat exchanger exhibits significant heat transfer enhancement advantages, yet it requires balancing heat transfer efficiency and pressure loss.
Yueyun Yang, Wei Li, Xiuzhi Xi, Neng Gao
wiley   +1 more source

Stochastic Finite Elements Via Response Surface: Fatigue Crack Growth Problems

, 1997
L. Faravelli, P. Colombi, COLOMBI, PIERLUIGI   +2 more
core   +1 more source