182 citations · 1.2k across the 59 of their papers we have counts for
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Learning Hidden Dynamics using Intelligent Automatic Differentiation
Kailai Xu, Dongzhuo Li, Eric Darve +1
Many engineering problems involve learning hidden dynamics from indirect observations, where the physical processes are described by systems of partial differential equations (PDE)…
Coupled Time-lapse Full Waveform Inversion for Subsurface Flow Problems using Intrusive Automatic Differentiation
Dongzhuo Li, Kailai Xu, Jerry M. Harris +1
We describe a novel framework for estimating subsurface properties, such as rock permeability and porosity, from time-lapse observed seismic data by coupling full-waveform inversio…
Adversarial Numerical Analysis for Inverse Problems
Kailai Xu, Eric Darve
Many scientific and engineering applications are formulated as inverse problems associated with stochastic models. In such cases the unknown quantities are distributions. The appli…
Investigating the Role of Non-Covalent Interactions in Conformation and Assembly of Triazine-Based Sequence-Defined Polymers
Surl-Hee Ahn, Jay W. Grate, Eric F. Darve
Grate and co-workers at Pacific Northwest National Laboratory recently developed high information content triazine-based sequence-defined polymers that are robust by not having hyd…
Sparse Hierarchical Preconditioners Using Piecewise Smooth Approximations of Eigenvectors
Bazyli Klockiewicz, Eric Darve
When solving linear systems arising from PDE discretizations, iterative methods (such as Conjugate Gradient, GMRES, or MINRES) are often the only practical choice. To converge in a…
Out-of-Vocabulary Embedding Imputation with Grounded Language Information by Graph Convolutional Networks
Ziyi Yang, Chenguang Zhu, Vin Sachidananda +1
Due to the ubiquitous use of embeddings as input representations for a wide range of natural language tasks, imputation of embeddings for rare and unseen words is a critical proble…