3 papers
cs.LG2021
Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties
Zitong Zhou, Nicholas Zabaras, Daniel M. Tartakovsky
Identifying the heterogeneous conductivity field and reconstructing the contaminant release history are key aspects of subsurface remediation. Achieving these two goals with limite…
physics.geo-ph2021
Thermal experiments for fractured rock characterization: theoretical analysis and inverse modeling
Zitong Zhou, Delphine Roubinet, Daniel M. Tartakovsky
Field-scale properties of fractured rocks play crucial role in many subsurface applications, yet methodologies for identification of the statistical parameters of a discrete fractu…
cs.CE2020
Markov Chain Monte Carlo with Neural Network Surrogates: Application to Contaminant Source Identification
Zitong Zhou, Daniel M. Tartakovsky
Subsurface remediation often involves reconstruction of contaminant release history from sparse observations of solute concentration. Markov Chain Monte Carlo (MCMC), the most accu…