2026 Eric Darve: Engineering and Technology Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	39	7536	7272	2064	1914	278	9242

Overview

Eric Darve is affiliated with Stanford University in the United States and focuses their research primarily in the fields of Computer Science and Engineering. Their work spans several interconnected subfields such as Artificial Intelligence, Statistical and Nonlinear Physics, Computational Mechanics, Computational Theory and Mathematics, and Geophysics.

The scientist's research explores a variety of main topics, including:

Model Reduction and Neural Networks
Matrix Theory and Algorithms
Anomaly Detection Techniques and Applications
Seismic Imaging and Inversion Techniques
Sparse and Compressive Sensing Techniques
Hydrology and Watershed Management Studies
Hydrology and Sediment Transport Processes

Eric Darve has co-authored extensively with several collaborators, notably:

Kailai Xu (18 publications)
Ryan Humble (10 publications)
Jonghyun Lee (9 publications)
Ziyi Yang (9 publications)
Finn H. O'Shea (9 publications)

Their work has appeared in various scholarly venues, with frequent publications in:

arXiv (Cornell University) - 38 publications
Journal of Computational Physics - 3 publications
Computer Methods in Applied Mechanics and Engineering - 3 publications
SIAM Journal on Matrix Analysis and Applications - 3 publications
International Journal for Numerical Methods in Engineering - 3 publications

Among recent scientific papers authored or co-authored by Eric Darve are:

Learning constitutive relations from indirect observations using deep neural networks, 2020, Journal of Computational Physics
Learning constitutive relations using symmetric positive definite neural networks, 2021, Journal of Computational Physics
Integrating deep neural networks with full-waveform inversion: Reparameterization, regularization, and uncertainty quantification, 2021, Geophysics
A general approach to seismic inversion with automatic differentiation, 2021, Computers & Geosciences
Recent developments in fast and scalable inverse modeling and data assimilation methods in hydrology, 2020, Journal of Hydrology

Eric Darve is also an author of a book published by the Society for Industrial and Applied Mathematics:

Numerical Linear Algebra with Julia, 2021

Best Publications

Calculating free energies using average force

Eric Darve;Andrew Pohorille

1283
Citations
Adaptive biasing force method for scalar and vector free energy calculations.

Eric Darve;David Rodríguez-Gómez;Andrew Pohorille

966
Citations
The Fast Multipole Method

Eric Darve

510
Citations
The black-box fast multipole method

William Fong;Eric Darve

350
Citations
Liszt: a domain specific language for building portable mesh-based PDE solvers

Zachary DeVito;Niels Joubert;Francisco Palacios;Stephen Oakley

331
Citations
Assembly of finite element methods on graphics processors

Cris Cecka;Adrian J. Lew;E. Darve

297
Citations
Large calculation of the flow over a hypersonic vehicle using a GPU

Erich Elsen;Patrick LeGresley;Eric Darve

293
Citations
Assessing the efficiency of free energy calculation methods.

David Rodriguez-Gomez;Eric Darve;Andrew Pohorille

252
Citations
The Fast Multipole Method I: Error Analysis and Asymptotic Complexity

Eric Darve

242
Citations
An $$\mathcal O (N \log N)$$O(NlogN) Fast Direct Solver for Partial Hierarchically Semi-Separable Matrices

Sivaram Ambikasaran;Eric Darve

216
Citations
A smooth particle-mesh Ewald algorithm for Stokes suspension simulations: The sedimentation of fibers

David Saintillan;Eric Darve;Eric S. G. Shaqfeh

210
Citations
Calculating Free Energies Using a Scaled-Force Molecular Dynamics Algorithm

Eric Darve;Michael A. Wilson;Andrew Pohorille

189
Citations
Computing generalized Langevin equations and generalized Fokker-Planck equations.

Eric Darve;Jose Solomon;Amirali Kia

176
Citations
Learning constitutive relations from indirect observations using deep neural networks

Daniel Z. Huang;Kailai Xu;Charbel Farhat;Eric Darve

174
Citations
Learning constitutive relations using symmetric positive definite neural networks

Kailai Xu;Daniel Z. Huang;Eric Darve

164
Citations
Molecular dynamics simulation of electro-osmotic flows in rough wall nanochannels

Daejoong Kim;Eric Darve

161
Citations
Efficient fast multipole method for low-frequency scattering

Eric Darve;Pascal Havé

148
Citations
A fast block low-rank dense solver with applications to finite-element matrices

AmirHossein Aminfar;Sivaram Ambikasaran;Eric Darve

143
Citations
Hydrodynamic interactions in the induced-charge electrophoresis of colloidal rod dispersions

David Saintillan;Eric Darve;Eric S. G. Shaqfeh

137
Citations
Computing the non-Markovian coarse-grained interactions derived from the Mori-Zwanzig formalism in molecular systems: Application to polymer melts.

Zhen Li;Hee Sun Lee;Eric Darve;George Em Karniadakis

137
Citations
A fast multipole method for Maxwell equations stable at all frequencies.

Eric Darve;Pascal Havé

110
Citations
Calculating Free Energies Using Scaled-Force Molecular Dynamics Algorithm

Eric Darve;Micahel A. Wilson;Andrew Pohorille

7
Citations