13 citations · 31 across the 4 of their papers we have counts for
4 papers
Physics Informed Differentiable Solvers for Learning Parametric Solution Manifolds in Heterogeneous Physical Systems
Milad Panahi, Giovanni Michele Porta, Monica Riva +1
Learning the full family of solutions to parameterized partial differential equations (PDEs) is a central challenge to our ability to model the behavior of heterogeneous systems, w…
Modelling parametric uncertainty in PDEs models via Physics-Informed Neural Networks
Milad Panahi, Giovanni Michele Porta, Monica Riva +1
We provide an approach enabling one to employ physics-informed neural networks (PINNs) for uncertainty quantification. Our approach is applicable to systems where observations are…
Quantification of CO2 generation in sedimentary basins through Carbonate Clays Reactions with uncertain thermodynamic parameters
Giulia Ceriotti, Giovanni M Porta, Claudio Geloni +2
We develop a methodological framework and mathematical formulation which yields estimates of the uncertainty associated with the amounts of CO2 generated by carbonate-clays reactio…
Origins of Anomalous Transport in Disordered Media: Structural and Dynamic Controls
Yaniv Edery, Harvey Scher, Alberto Guadagnini +1
We quantitatively identify the origin of anomalous transport in a representative model of a heterogeneous system---tracer migration in the complex flow patterns of a lognormally di…