Pedram Hassanzadeh

Citat de

	Toate	Din 2020
Referințe bibliografice	4019	3491
h-index	28	26
i10-index	47	43

1300

650

325

975

20112012201320142015201620172018201920202021202220232024202510 16 23 25 34 85 93 88 117 209 403 573 845 1263 188

Acces public

Afișați-le pe toate

39 de articole

0 articole

disponibile

indisponibile

Pe baza cerințelor privind finanțarea

Coautori

Ashesh ChattopadhyayUniversity of California, Santa CruzAdresă de e-mail confirmată pe ucsc.edu
Philip MarcusProfessor of Mechanical Engineering, University of California at BerkeleyAdresă de e-mail confirmată pe me.berkeley.edu
Ebrahim NabizadehRice UniversityAdresă de e-mail confirmată pe rice.edu
Adam SubelGraduate Student, New York UniversityAdresă de e-mail confirmată pe nyu.edu
Yifei GuanUnion CollegeAdresă de e-mail confirmată pe union.edu
Karthik KashinathPrincipal Scientist & Engineer, NVIDIAAdresă de e-mail confirmată pe nvidia.com
Suyang PeiTexas A&M University, Corpus ChristiAdresă de e-mail confirmată pe tamucc.edu
Mustafa BaniodehWaymoAdresă de e-mail confirmată pe google.com
Kamyar AzizzadenesheliNvidiaAdresă de e-mail confirmată pe nvidia.com
Anima AnandkumarCalifornia Institute of Technology and NVIDIAAdresă de e-mail confirmată pe caltech.edu
Sandro W. LubisScientist III at Pacific Northwest National Laboratory (PNNL)Adresă de e-mail confirmată pe pnnl.gov
Rambod MojganiRTX, The University of Chicago, Rice University, UIUCAdresă de e-mail confirmată pe rice.edu
Joan AlexanderSr. Research Scientist, NorthWest Research AssociatesAdresă de e-mail confirmată pe cora.nwra.com
Amin KhodkarData Scientist at Qcells North AmericaAdresă de e-mail confirmată pe qcells.com
Jaideep PathakNVIDIAAdresă de e-mail confirmată pe nvidia.com
Zongyi LiCaltechAdresă de e-mail confirmată pe caltech.edu
Morteza MardaniNVIDIA Research & Stanford UniversityAdresă de e-mail confirmată pe nvidia.com
Aditi SheshadriStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Soheil EsmaeilzadehFacebook AI | Stanford Ph.D.Adresă de e-mail confirmată pe stanford.edu
Heng XiaoProfessor, University of StuttgartAdresă de e-mail confirmată pe simtech.uni-stuttgart.de

Urmăriți

Pedram Hassanzadeh

Associate Professor, University of Chicago

Adresă de e-mail confirmată pe uchicago.edu - Pagina de pornire

Extreme weather Scientific machine learning Climate change Fluid dynamics Climate dynamics


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ... arXiv preprint arXiv:2202.11214, 2022	724	2022
Physics-informed machine learning: case studies for weather and climate modelling K Kashinath, M Mustafa, A Albert, JL Wu, C Jiang, S Esmaeilzadeh, ... Philosophical Transactions of the Royal Society A 379 (2194), 20200093, 2021	521	2021
Data-driven prediction of a multi-scale Lorenz 96 chaotic system using deep learning methods: reservoir computing, ANN, and RNN-LSTM A Chattopadhyay, P Hassanzadeh, D Subramanian arXiv preprint arXiv:1906.08829, 1-21, 2019	255	2019
Analog forecasting of extreme-causing weather patterns using deep learning A Chattopadhyay, E Nabizadeh, P Hassanzadeh Journal of Advances in Modeling Earth Systems 12, 2020	212	2020
Predicting clustered weather patterns: A test case for applications of convolutional neural networks to spatio-temporal climate data A Chattopadhyay, P Hassanzadeh, S Pasha Scientific reports 10 (1), 1317, 2020	177	2020
Zombie vortex instability. I. A purely hydrodynamic instability to resurrect the dead zones of protoplanetary disks PS Marcus, S Pei, CH Jiang, JA Barranco, P Hassanzadeh, D Lecoanet The Astrophysical Journal 808 (1), 87-102, 2015	151	2015
Responses of midlatitude blocks and wave amplitude to changes in the meridional temperature gradient in an idealized dry GCM P Hassanzadeh, Z Kuang, BF Farrell Geophysical Research Letters 41 (14), 5223-5232, 2014	136	2014
A Perspective on Climate Model Hierarchies N Jeevanjee, P Hassanzadeh, S Hill, A Sheshadri Journal of Advances in Modeling Earth Systems, 2017	133	2017
Stable a posteriori LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher Re via transfer learning Y Guan, A Chattopadhyay, A Subel, P Hassanzadeh Journal of Computational Physics 458, 2022	102	2022
Three-dimensional vortices generated by self-replication in stably stratified rotating shear flows PS Marcus, S Pei, CH Jiang, P Hassanzadeh Physical Review Letters 111 (8), 084501, 2013	97	2013
Data-driven subgrid-scale modeling of forced Burgers turbulence using deep learning with generalization to higher Reynolds numbers via transfer learning A Subel, A Chattopadhyay, Y Guan, P Hassanzadeh Physics of Fluids 33 (3), 2021	90	2021
Blocking variability: Arctic Amplification versus Arctic Oscillation P Hassanzadeh, Z Kuang Geophysical Research Letters 42 (20), 8586–8595, 2015	84	2015
Wall to wall optimal transport P Hassanzadeh, GP Chini, CR Doering Journal of Fluid Mechanics 751, 627-662, 2014	80	2014
Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5 A Chattopadhyay, M Mustafa, P Hassanzadeh, E Bach, K Kashinath Geoscientific Model Development 15 (5), 2221-2237, 2022	70*	2022
Kolmogorov n–width and Lagrangian physics-informed neural networks: A causality-conforming manifold for convection-dominated PDEs R Mojgani, M Balajewicz, P Hassanzadeh Computer Methods in Applied Mechanics and Engineering 404, 115810, 2023	69*	2023
Data‐driven super‐parameterization using deep learning: Experimentation with multi‐scale Lorenz 96 systems and transfer learning A Chattopadhyay, A Subel, P Hassanzadeh Journal of Advances in Modeling Earth Systems, e2020MS002084, 2020	69	2020
The universal aspect ratio of vortices in rotating stratified flows: theory and simulation P Hassanzadeh, PS Marcus, P Le Gal Journal of Fluid Mechanics 706, 46-57, 2012	59	2012
Explaining the physics of transfer learning in data-driven turbulence modeling A Subel, Y Guan, A Chattopadhyay, P Hassanzadeh PNAS nexus 2 (3), pgad015, 2023	57	2023
Size of the atmospheric blocking events: Scaling law and response to climate change E Nabizadeh, P Hassanzadeh, D Yang, EA Barnes Geophysical Research Letters 46, 2019	56	2019
Learning physics-constrained subgrid-scale closures in the small-data regime for stable and accurate LES Y Guan, A Subel, A Chattopadhyay, P Hassanzadeh Physica D: Nonlinear Phenomena 443, 133568, 2023	55	2023

Sistemul nu poate realiza operația în acest moment. Încercați din nou mai târziu.

Articole 1–20

Referințe bibliografice pe an

Citate duplicat

Citate fuzionate

Adăugați coautoriCoautori

Urmăriți

Citat de

Coautori