Zobrazeno 1 - 10
of 920
pro vyhledávání: '"P. Muralikrishnan"'
Autor:
Meena, Muralikrishnan Gopalakrishnan, Gottiparthi, Kalyana C., Lietz, Justin G., Georgiadou, Antigoni, Pérez, Eduardo Antonio Coello
The development of quantum processors capable of handling practical fluid flow problems represents a distant yet promising frontier. Recent strides in quantum algorithms, particularly linear solvers, have illuminated the path toward quantum solutions
Externí odkaz:
http://arxiv.org/abs/2409.10857
Autor:
Beck, Thomas, Baroni, Alessandro, Bennink, Ryan, Buchs, Gilles, Perez, Eduardo Antonio Coello, Eisenbach, Markus, da Silva, Rafael Ferreira, Meena, Muralikrishnan Gopalakrishnan, Gottiparthi, Kalyan, Groszkowski, Peter, Humble, Travis S., Landfield, Ryan, Maheshwari, Ketan, Oral, Sarp, Sandoval, Michael A., Shehata, Amir, Suh, In-Saeng, Zimmer, Christopher
Quantum Computing (QC) offers significant potential to enhance scientific discovery in fields such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces challenges due to the noisy intermediate-scale quantum era's inherent ext
Externí odkaz:
http://arxiv.org/abs/2408.16159
Autor:
Muralikrishnan, Sanjeev, Dutt, Niladri Shekhar, Chaudhuri, Siddhartha, Aigerman, Noam, Kim, Vladimir, Fisher, Matthew, Mitra, Niloy J.
We introduce Temporal Residual Jacobians as a novel representation to enable data-driven motion transfer. Our approach does not assume access to any rigging or intermediate shape keyframes, produces geometrically and temporally consistent motions, an
Externí odkaz:
http://arxiv.org/abs/2407.14958
Autor:
Srinivasan, Muralikrishnan, Senigagliesi, Linda, Chen, Hui, Chorti, Arsenia, Baldi, Marco, Wymeersch, Henk
We discuss the use of angle of arrival (AoA) as an authentication measure in analog array multiple-input multiple-output (MIMO) systems. A base station equipped with an analog array authenticates users based on the AoA estimated from certified pilot
Externí odkaz:
http://arxiv.org/abs/2407.08282
Autor:
Zajac, Jonathan W. P., Muralikrishnan, Praveen, Heldt, Caryn L., Perry, Sarah L., Sarupria, Sapna
The stabilization of liquid biological products is a complex task that depends on the chemical composition of both the active ingredient and any excipients in solution. Frequently, a large number of unique excipients are required to stabilize biologi
Externí odkaz:
http://arxiv.org/abs/2407.00885
We propose ParaPIF, a parareal based time parallelization scheme for the particle-in-Fourier (PIF) discretization of the Vlasov-Poisson system used in kinetic plasma simulations. Our coarse propagators are based on the coarsening of the numerical dis
Externí odkaz:
http://arxiv.org/abs/2407.00485
Neural operators such as the Fourier Neural Operator (FNO) have been shown to provide resolution-independent deep learning models that can learn mappings between function spaces. For example, an initial condition can be mapped to the solution of a pa
Externí odkaz:
http://arxiv.org/abs/2406.16740
Autor:
Mayani, Sonali, Montanaro, Veronica, Cerfon, Antoine, Frey, Matthias, Muralikrishnan, Sriramkrishnan, Adelmann, Andreas
Vico et al. (2016) suggest a fast algorithm for computing volume potentials, beneficial to fields with problems requiring the solution of Poisson's equation with free-space boundary conditions, such as the beam and plasma physics communities. Current
Externí odkaz:
http://arxiv.org/abs/2405.02603
Autor:
Meena, Muralikrishnan Gopalakrishnan, Liousas, Demetri, Simin, Andrew D., Kashi, Aditya, Brewer, Wesley H., Riley, James J., Kops, Stephen M. de Bruyn
We develop time-series machine learning (ML) methods for closure modeling of the Unsteady Reynolds Averaged Navier Stokes (URANS) equations applied to stably stratified turbulence (SST). SST is strongly affected by fine balances between forces and be
Externí odkaz:
http://arxiv.org/abs/2404.16141
We introduce a novel particle-in-Fourier (PIF) scheme that extends its applicability to non-periodic boundary conditions. Our method handles free space boundary conditions by replacing the Fourier Laplacian operator in PIF with a mollified Green's fu
Externí odkaz:
http://arxiv.org/abs/2403.13911