We present a physics-informed machine-learning (PIML) approach for the
a...
We study the mechanisms of pattern formation for vegetation dynamics in
...
We present an Equation/Variable free machine learning (EVFML) framework ...
We address a physics-informed neural network based on the concept of ran...
The effective control of the COVID-19 pandemic is one the most challengi...
We address a new numerical scheme based on a class of machine learning
m...
Herein, we provide estimations for the effective reproduction number R_e...
We perform both analytical and numerical bifurcation analysis of a
fores...
We address a numerical methodology for the computation of coarse-grained...