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A. Chattopadhyay

28 papers hereh-index 192.6k citations56 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author14
  • last author4

Across the 26 of 28 papers where every author was matched, so the position is known.

fields
  • physics.ao-ph10
  • cs.LG7
  • physics.flu-dyn7
  • physics.comp-ph2
  • cs.AI1
  • cs.HC1
same name
  • A. Chattopadhyay — 31 papers, h 38
  • A. Chattopadhyay — 25 papers, h 9
  • A. Chattopadhyay — 22 papers, h 10
  • A. Chattopadhyay — 13 papers, h 16
  • A. Chattopadhyay — 8 papers, h 7
  • A. Chattopadhyay — 6 papers, h 16

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedFourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

455 citations · 784 across the 21 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

physics.flu-dyn2019

Spline-based Interface Modeling and Optimization (SIMO) for Surface Tension and Contact Angle Measurements

Karan Jakhar, Ashesh Chattopadhyay, Atul Thakur +1

Surface tension and contact angle measurements are fundamental characterization techniques relevant to thermal and fluidic applications. Drop shape analysis techniques for the meas…

physics.ao-ph2019

Analog forecasting of extreme-causing weather patterns using deep learning

Ashesh Chattopadhyay, Ebrahim Nabizadeh, Pedram Hassanzadeh

Numerical weather prediction (NWP) models require ever-growing computing time/resources, but still, have difficulties with predicting weather extremes. Here we introduce a data-dri…

cs.LG2019

Data-driven prediction of a multi-scale Lorenz 96 chaotic system using deep learning methods: Reservoir computing, ANN, and RNN-LSTM

Ashesh Chattopadhyay, Pedram Hassanzadeh, Devika Subramanian

In this paper, the performance of three deep learning methods for predicting short-term evolution and for reproducing the long-term statistics of a multi-scale spatio-temporal Lore…

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