Results 121 to 130 of about 38,753 (164)

Exploring highly dispersive optical solitons and modulation instability in nonlinear Schrödinger equations with nonlocal self phase modulation and polarization dispersion. [PDF]

Sci Rep
Hasan WM, Ahmed HM, Ahmed AM, Rezk HM, Rabie WB.   +4 more
europepmc   +1 more source

Bifurcation analysis and analytical traveling wave solutions of a sasa-satsuma equation involving beta, M-truncated and conformable derivatives using the EGREM method. [PDF]

Sci Rep
Munir F, Saad KM, Abbas M, Birhanu A, Hamanah WM, Nazir T.   +5 more
europepmc   +1 more source

Gradient-Driven Physics Informed Neural Networks for Conduction Heat Transfer and Incompressible Laminar Flow. [PDF]

J Comput Nonlinear Dyn
Lu T, Shahadat MRB, Liu Q, He R, Jiang X, Li Z.   +5 more
europepmc   +1 more source

Automatic network structure discovery of physics informed neural networks via knowledge distillation. [PDF]

Nat Commun
Liu Z, Liu Y, Yan X, Liu W, Nie H, Guo S, Zhang CA.   +6 more
europepmc   +1 more source

Inference of weak-form partial differential equations describing migration and proliferation mechanisms in wound healing experiments on cancer cells. [PDF]

PLoS Comput Biol
Srivastava S, Kinnunen PC, Wang Z, Ho KKY, Humphries BA, Chen S, Linderman JJ, Luker GD, Luker KE, Garikipati K.   +9 more
europepmc   +1 more source

Artificial neural network paradigm of magneto-thermal behavior in tangent hyperbolic hybrid-nanofluid flow. [PDF]

Sci Rep
Athar T, Qureshi H, Muhammad T.
europepmc   +1 more source

Fractional dynamics and optical soliton propagation in mono-mode fibers via the Fokas system. [PDF]

Sci Rep
Iqbal N, Aldhabani MS, Alam N, Hamza AE, Mohammed WW, Hamoud AA.   +5 more
europepmc   +1 more source

Nonlinear kinematic impacts on nanofluid flow across rough surface with numerical simulation. [PDF]

Sci Rep
Khan A, Khan DN, Zubair M, Karim M, Khan A, Hashim, Ahmad H, Abd-Elmonem A, Abulhassan MEE.   +8 more
europepmc   +1 more source

Analytical construction and visualization of nonlinear waves in the (2+1) dimensional Kadomtsev-Petviashvili-Sawada-Kotera-Ramani equation with stability analysis. [PDF]

Sci Rep
Ahmed M, Ahmed HM, Badra N, Samir I.
europepmc   +1 more source

Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations. [PDF]

J Sci Comput
Chen C, Yang Y, Xiang Y, Hao W.
europepmc   +1 more source