2 papers
math.AP2025
A detailed and comprehensive account of fractional Physics-Informed Neural Networks: From implementation to efficiency
Donya Dabiri, Joshua DaRosa, Milad Saadat +2
Fractional differential equations are powerful mathematical descriptors for intricate physical phenomena in a compact form. However, compared to integer ordinary or partial differe…
cs.LG2024
UniFIDES: Universal Fractional Integro-Differential Equation Solvers
Milad Saadat, Deepak Mangal, Safa Jamali
The development of data-driven approaches for solving differential equations has been followed by a plethora of applications in science and engineering across a multitude of discip…