Louis J. Durlofsky

Mechanical Engineering · 2003–2019

A researcher in the Science corpus: 18 papers; trusts 77 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Mechanical Engineering — 39 citations into it; #463 of 8,300 by trust here, #2,740 by citations
Ocean Engineering — 39 citations into it; #107 of 3,193 by trust here, #221 by citations
Computational Mechanics — 31 citations into it; #6,431 of 10,001 by trust here, #6,582 by citations
Computational Theory and Mathematics — 29 citations into it; #4,297 of 12,182 by trust here, #5,724 by citations
Environmental Engineering — 28 citations into it; #1,030 of 5,479 by trust here, #1,975 by citations
Artificial Intelligence — 27 citations into it
Numerical Analysis — 19 citations into it; #3,257 of 3,586 by trust here, #3,457 by citations
Statistical and Nonlinear Physics — 19 citations into it; #8,916 of 10,127 by trust here, #9,953 by citations

Whom Louis J. Durlofsky trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

Who trusts Louis J. Durlofsky overall

Papers from Louis J. Durlofsky's perspective

Ordered by how strongly the researchers Louis J. Durlofsky trusts endorse each paper. Same corpus, a different order for every researcher.

Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
ImageNet classification with deep convolutional neural networks
Long Short-Term Memory
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Gradient-based learning applied to document recognition
Learning Multiple Layers of Features from Tiny Images
Attention is All you Need (Neural Information Processing Systems)
ImageNet: A large-scale hierarchical image database
ImageNet Large Scale Visual Recognition Challenge
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

Use of Border Regions for Improved Permeability Upscaling (2003) — 114 citations
MODELING FLUID FLOW IN OIL RESERVOIRS (2005) — 241 citations
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems (2019) — 341 citations
Use of reduced-order models in well control optimization (2017) — 84 citations
A New Data-Space Inversion Procedure for Efficient Uncertainty Quantification in Subsurface Flow Problems (2017) — 83 citations
A general gridding, discretization, and coarsening methodology for modeling flow in porous formations with discrete geological features (2016) — 139 citations
Constraint reduction procedures for reduced‐order subsurface flow models based on POD–TPWL (2015) — 47 citations
A derivative-free methodology with local and global search for the constrained joint optimization of well locations and controls (2014) — 157 citations
A New Differentiable Parameterization Based on Principal Component Analysis for the Low-Dimensional Representation of Complex Geological Models (2014) — 121 citations
Adjoint formulation and constraint handling for gradient-based optimization of compositional reservoir flow (2014) — 68 citations
Joint optimization of oil well placement and controls (2012) — 157 citations
Application of a particle swarm optimization algorithm for determining optimum well location and type (2010) — 399 citations
Production Optimization with Adjoint Models under Nonlinear Control-State Path Inequality Constraints (2008) — 154 citations
Generation of coarse‐scale continuum flow models from detailed fracture characterizations (2006) — 152 citations
Efficient real-time reservoir management using adjoint-based optimal control and model updating (2006) — 239 citations
An Efficient Discrete Fracture Model Applicable for General Purpose Reservoir Simulators (2003) — 400 citations
Calculation of Well Index for Nonconventional Wells on Arbitrary Grids (2003) — 53 citations
Experimental study of two and three phase flows in large diameter inclined pipes (2003) — 236 citations