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Eric Darve
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Year
How Powerful are Graph Neural Networks?
K Xu, W Hu, J Leskovec, S Jegelka
arXiv preprint arXiv:1810.00826, 2018
80252018
Free energy calculations
C Chipot, A Pohorille
Springer 86, 159-184, 2007
14162007
Calculating free energies using average force
E Darve, A Pohorille
The Journal of chemical physics 115 (20), 9169-9183, 2001
11962001
Adaptive biasing force method for scalar and vector free energy calculations
E Darve, D Rodríguez-Gómez, A Pohorille
The Journal of chemical physics 128 (14), 2008
8832008
The fast multipole method: numerical implementation
E Darve
Journal of Computational Physics 160 (1), 195-240, 2000
5082000
The black-box fast multipole method
W Fong, E Darve
Journal of Computational Physics 228 (23), 8712-8725, 2009
3452009
Liszt: a domain specific language for building portable mesh-based PDE solvers
Z DeVito, N Joubert, F Palacios, S Oakley, M Medina, M Barrientos, ...
Proceedings of 2011 international conference for high performance computing …, 2011
3282011
Assembly of finite element methods on graphics processors
C Cecka, AJ Lew, E Darve
International journal for numerical methods in engineering 85 (5), 640-669, 2011
2932011
Large calculation of the flow over a hypersonic vehicle using a GPU
E Elsen, P LeGresley, E Darve
Journal of Computational Physics 227 (24), 10148-10161, 2008
2932008
An   Fast Direct Solver for Partial Hierarchically Semi-Separable Matrices: With Application to Radial Basis Function Interpolation
S Ambikasaran, E Darve
Journal of Scientific Computing 57, 477-501, 2013
2582013
Assessing the efficiency of free energy calculation methods
D Rodriguez-Gomez, E Darve, A Pohorille
The Journal of chemical physics 120 (8), 3563-3578, 2004
2482004
The fast multipole method I: Error analysis and asymptotic complexity
E Darve
SIAM Journal on Numerical Analysis 38 (1), 98-128, 2000
2382000
A smooth particle-mesh Ewald algorithm for Stokes suspension simulations: The sedimentation of fibers
D Saintillan, E Darve, ESG Shaqfeh
Physics of Fluids 17 (3), 2005
2072005
Learning constitutive relations from indirect observations using deep neural networks
DZ Huang, K Xu, C Farhat, E Darve
Journal of Computational Physics 416, 109491, 2020
181*2020
Calculating free energies using a scaled-force molecular dynamics algorithm
E Darve, MA Wilson, A Pohorille
Molecular Simulation 28 (1-2), 113-144, 2002
1802002
Computing generalized Langevin equations and generalized Fokker–Planck equations
E Darve, J Solomon, A Kia
Proceedings of the National Academy of Sciences 106 (27), 10884-10889, 2009
1552009
Molecular dynamics simulation of electro-osmotic flows in rough wall nanochannels
D Kim, E Darve
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 73 (5 …, 2006
1552006
Efficient fast multipole method for low-frequency scattering
E Darve, P Havé
Journal of Computational Physics 197 (1), 341-363, 2004
1482004
Learning constitutive relations using symmetric positive definite neural networks
K Xu, DZ Huang, E Darve
Journal of Computational Physics 428, 110072, 2021
1462021
A fast block low-rank dense solver with applications to finite-element matrices
A Aminfar, S Ambikasaran, E Darve
Journal of Computational Physics 304, 170-188, 2016
1442016
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