most citedVariable-Order Approach to Nonlocal Elasticity: Theoretical Formulation and Order Identification via Deep Learning Techniques

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

math.NA2020★ 2 cited

Variable-Order Approach to Nonlocal Elasticity: Theoretical Formulation and Order Identification via Deep Learning Techniques

Mehdi Jokar, Sansit Patnaik, Fabio Semperlotti

This study presents the application of variable-order (VO) fractional calculus to the modeling of nonlocal solids. The reformulation of nonlocal fractional-order continuum mechanic…

physics.comp-ph2020

Finite Element Network Analysis: A Machine Learning based Computational Framework for the Simulation of Physical Systems

Mehdi Jokar, Fabio Semperlotti

This study introduces the concept of finite element network analysis (FENA) which is a physics-informed, machine-learning-based, computational framework for the simulation of compl…