Prabhat
Fermi National Accelerator Laboratory(US)
Publications by Year
Research Areas
Advanced Data Storage Technologies, Computational Physics and Python Applications, Parallel Computing and Optimization Techniques, Distributed and Parallel Computing Systems, Scientific Computing and Data Management
Most-Cited Works
- → Deep learning and process understanding for data-driven Earth system science(2019)4,664 cited
- → Physics-informed machine learning: case studies for weather and climate modelling(2021)600 cited
- → Scalable Bayesian Optimization Using Deep Neural Networks(2015)439 cited
- → North American extreme temperature events and related large scale meteorological patterns: a review of statistical methods, dynamics, modeling, and trends(2015)333 cited
- → Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets(2016)315 cited
- → The effect of horizontal resolution on simulation quality in the Community Atmospheric Model, CAM5.1(2014)297 cited
- → Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems(2019)163 cited
- → ExtremeWeather: A large-scale climate dataset for semi-supervised\n detection, localization, and understanding of extreme weather events(2016)158 cited
- → FastBit: interactively searching massive data(2009)145 cited