Physics-informed neural networks (PINNs) represent a burgeoning paradigm in computational science, whereby deep learning frameworks are augmented with explicit physical laws to solve both forward and ...
In this paper, B-convergence theory of Runge-Kutta methods for nonlinear stiff Volterra functional differential equations is extended from finite integration interval [a, T] to infinite integration ...
This is the first part of a two course graduate sequence in analytical methods to solve ordinary and partial differential equations of mathematical physics. Review of Advanced ODE’s including power ...
The New Phytologist, Vol. 231, No. 6, Virtual Issue: Filling gaps in our understanding of belowground plant traits across the world (September 2021), pp. 2359-2370 (12 pages) • Understanding ...
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