Results 211 to 220 of about 2,746 (252)

A novel machine learning approach to analysis of electroosmotic effects and heat transfer on Multi-phase wavy flow. [PDF]

Sci Rep
Aslam MN, Riaz A, Arshad MS, AlZubaidi A, Maqsood R, Al-Nahari AM, Kallel M.   +6 more
europepmc   +1 more source

Physics-informed neural networks with hybrid Kolmogorov-Arnold network and augmented Lagrangian function for solving partial differential equations. [PDF]

Sci Rep
Zhang Z, Wang Q, Zhang Y, Shen T, Shen T, Zhang W.   +5 more
europepmc   +1 more source

Partial differential equations in data science. [PDF]

Philos Trans A Math Phys Eng Sci
Bertozzi AL, Drenska N, Latz J, Thorpe M.   +3 more
europepmc   +1 more source

Dynamics of soliton propagation: bifurcation, chaos, and quantitative insights into the modified Camassa-Holm equation. [PDF]

Sci Rep
Alam MN, Ahmed SF, Ismael HF, Firdi MD, Badruddin IA, Javed S.   +5 more
europepmc   +1 more source

Fractional modeling of nonlinear dispersive systems: on the comparative study of Whitham-Broer-Kaup equations using various derivatives. [PDF]

Sci Rep
Ahmed SA, Shah R, Mohamed A, Hassan AA, Dargail HE, Barakat HM, Yahya A.   +6 more
europepmc   +1 more source

Analytical evaluations using neural network-based method for wave solutions of combined Kairat-II-X differential equation in fluid mechanics. [PDF]

Sci Rep
Zhou P, Manafian J, Lakestani M, Ilhan OA, Bahador NJ, Fattah AA, Mahmoud KH, Nuray R, Nagiyeva N.   +8 more
europepmc   +1 more source

A novel method for approximate solution of two point non local fractional order coupled boundary value problems. [PDF]

PLoS One
Tadoummant L, Khalil H, Echarggaoui R, Aljohani S, Mlaiki N.   +4 more
europepmc   +1 more source

Lateral load capacity of flexible piles in the SDMC model with cylindrical cavity expansion theory. [PDF]

Sci Rep
Gao F, Hu C, Huang B, Pang L.
europepmc   +1 more source

Physics-informed neural networks for physiological signal processing and modeling: a narrative review. [PDF]

Physiol Meas
Zhao A, Fattahi D, Hu X.
europepmc   +1 more source

WF-PINNs: solving forward and inverse problems of burgers equation with steep gradients using weak-form physics-informed neural networks. [PDF]

Sci Rep
Wang X, Yi S, Gu H, Xu J, Xu W.
europepmc   +1 more source