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Vishagan Ratnaswamy
Vishagan Ratnaswamy
在 caltech.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Microstructure evolution in density relaxation by tapping
AD Rosato, O Dybenko, DJ Horntrop, V Ratnaswamy, L Kondic
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 81 (6 …, 2010
352010
Adjoint-based estimation of plate coupling in a non-linear mantle flow model: theory and examples
V Ratnaswamy, G Stadler, M Gurnis
Geophysical Journal International 202 (2), 768-786, 2015
332015
Evolution of solids fraction surfaces in tapping: simulation and dynamical systems analysis
V Ratnaswamy, AD Rosato, D Blackmore, X Tricoche, N Ching, L Zuo
Granular Matter 14 (2), 163-168, 2012
122012
Tapping dynamics for a column of particles and beyond
D Blackmore, A Rosato, X Tricoche, K Urban, V Ratnaswamy
Journal of Mechanics of Materials and Structures 6 (1), 71-86, 2011
102011
Temporal dynamics in density relaxation
AD Rosato, V Ratnaswamy, DJ Horntrop, O Dybenko, L Kondic
AIP Conference Proceedings 1227 (1), 89-99, 2010
52010
Microstructure development in tapped granular systems
A Rosato, O Dybenko, V Ratnaswamy, D Horntrop, L Kondic
Phys. Rev. E 81, 061301, 2010
52010
Physics-informed recurrent neural network surrogates for e3sm land model
V Ratnaswamy, C Safta, K Sargsyan, DM Ricciuto
AGU Fall Meeting Abstracts 2019, GC43D-1365, 2019
32019
Recurrent neural network model of density relaxation in monodisperse granular systems
V Ratnaswamy, AD Rosato, Y Chung, J Dye, DJ Horntrop, DL Blackmore, ...
Computational Particle Mechanics 11 (3), 1119-1132, 2024
12024
Stochastic and deterministic dynamics investigation of the microstructure of granular materials
V Ratnaswamy
12010
Tapped Granular Systems: Simulations and Machine Learning Approaches
T Rosato, N Ching, V Ratnaswamy, Y Chung, N Mili, J Dye, D Blackmore, ...
Bulletin of the American Physical Society 67, 2022
2022
Physics Informed Neural Network Surrogate for E3SM Land Model.
V Ratnaswamy, C Safta, K Sargsyan
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2019
2019
Calibration and Propagation of Model Structural Error for E3SM Land Model
K Sargsyan, C Safta, V Ratnaswamy, D Ricciuto
AGU Fall Meeting Abstracts 2019, GC53H-1226, 2019
2019
Physics-driven RNN Approach for E3SM Land Model Surrogate Construction.
V Ratnaswamy, K Sargsyan, C Safta, D Ricciuto
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2019
2019
Physics-Informed Recurrent Neural Networks for Land Model Surrogate Construction
V Ratnaswamy, C Safta, K Sargsyan, DM Ricciuto
2019
Constraining the Mantle's Rheology Using Methods in Uncertainty Quantification
V Ratnaswamy
California Institute of Technology, 2019
2019
Subduction zone viscosity and plate coupling from trench topography using adjoint inversions with a free-surface model
X Liu, M Gurnis, V Ratnaswamy, G Stadler, J Rudi
AGU Fall Meeting Abstracts 2018, DI22A-06, 2018
2018
Inverse models of plate coupling and mantle rheology: Towards a direct link between large-scale mantle flow and mega thrust earthquakes
M Gurnis, V Ratnaswamy, G Stadler, J Rudi, X Liu, O Ghattas
AGU Fall Meeting Abstracts 2017, T11E-05, 2017
2017
Improved High Resolution Models of Subduction Dynamics: Use of transversely isotropic viscosity with a free-surface
X Liu, M Gurnis, G Stadler, J Rudi, V Ratnaswamy, O Ghattas
AGU Fall Meeting Abstracts 2017, DI42A-03, 2017
2017
Towards Bayesian Inversion in Mantle Convection
G Stadler, V Ratnaswamy, J Rudi, D Li, O Ghattas, M Gurnis
AGU Fall Meeting Abstracts 2016, DI21A-01, 2016
2016
From seismic images to plate dynamics: Towards the full inverse
M Gurnis, V Ratnaswamy, G Stadler, O Ghattas, L Alisic
AGU Fall Meeting Abstracts 2014, S32A-01, 2014
2014
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