Results 181 to 190 of about 274,936 (300)

Regime-Dependent Elastic Displacement in Bio-Inspired Parametric Kirigami Structures: An Experimental Study of Geometric Parameter Effects. [PDF]

Biomimetics (Basel)
Mokhtar TH, Bakr SM, Khashman QR.
europepmc   +1 more source

On a Third Order Nonlinear Boundary Value Problem at Resonance

, 1995
R. Nagle, K. Pothoven
semanticscholar   +1 more source

CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning

Advanced Science, EarlyView.
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang, Zexi Chen, Yuanxiang Miao, Zuolin Shen, Deyu Cai, Shijie Tang, Yun Xue, Weifeng Guo, Hongbin Ji, Jian Liu, Kazuyuki Aihara, Luonan Chen   +11 more
wiley   +1 more source

Electromagnetohydrodynamic flow and heat transfer of a dusty hybrid nanofluid over a rotating disk in a porous medium. [PDF]

Discov Nano
Grace DS, Durgaprasad P.
europepmc   +1 more source

On positive solutions for a nonlinear boundary value problem with impulse

, 2006
H. Bereketoglu, Aydin Huseynov
semanticscholar   +1 more source

Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami

Advanced Science, EarlyView.
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning, Lu Lu, Sophie Leanza, Ruike Renee Zhao   +3 more
wiley   +1 more source

Supervised machine learning computing paradigm of energy activation for magnetic nanofluid flow via porous surface with nonlinear variant viscosity. [PDF]

Discov Nano
Alhubieshi N, Khan RA, Khan A, Jamshed W, Hussain SM, Ahmad H, Eid MR, Guedri K.   +7 more
europepmc   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

Computational study to heat and mass transfer analysis of blood-based Maxwell ternary hybrid nanofluid with nonlinear thermal radiation and exponential heat source. [PDF]

Discov Nano
Mahariq I, Abas SA, Fiza M, Ullah H, Akgül A, Soliyeva M, Aksoy H, Al-Mekhlafi SM.   +7 more
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source