A DFL-TFC framework with orthogonal polynomial expansion and domain mapping solves the governing DE for bending of exponentially loaded tapered perforated beams more efficiently than PINNs.
Application of physics-informed neural networks for nonlinear buckling analysis of beams,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.DS 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Physics-Informed Functional Link Constrained Framework with Domain Mapping for Solving Bending Analysis of an Exponentially Loaded Perforated Beam
A DFL-TFC framework with orthogonal polynomial expansion and domain mapping solves the governing DE for bending of exponentially loaded tapered perforated beams more efficiently than PINNs.