Results 171 to 180 of about 54,909 (322)
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 more
wiley +1 more source
Generalized Monotone Method for Matrix Differential Equations with Nonlinear Boundary Condition
S. N. R. G. Bharat Iragavarapu +1 more
openalex +1 more source
Large Deviation Principle for Semilinear Stochastic Evolution Equations\n with Monotone Nonlinearity and Multiplicative Noise [PDF]
Hassan Dadashi-Arani, Bijan Z. Zangeneh
openalex +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Dynamics, Noise, Delays and the Gibbs and Conditional Entropy. [PDF]
Mackey MC, Tyran-Kamińska M.
europepmc +1 more source
Monotone iterative technique for a nonlinear fractional q-difference equation of Caputo type [PDF]
Guotao Wang +3 more
openalex +1 more source
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
Some new results on interval-valued volterra integro-differential equations for caputo fractional derivative. [PDF]
Noureen S, Zehra A, Tolasa FT.
europepmc +1 more source
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
Linear stability and dispersive soliton propagation in nonlinear media subject to parabolic phase modulation. [PDF]
Morgan M, Ahmed HM, Sayed M, Soliman M.
europepmc +1 more source

