A Fortran-Keras Deep Learning Bridge for Scientific Computing

Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model

(2020) David John Gagne et al.   Journal of Advances in Modeling Earth Systems

The DOE E3SM coupled model version 1: Overview and evaluation at standard resolution

(2019) Jean‐Christophe Golaz et al.   Journal of Advances in Modeling Earth Systems

Learning data-driven discretizations for partial differential equations

(2019) Yohai Bar-Sinai et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Multi-Modal Object Tracking and Image Fusion With Unsupervised Deep Learning

(2019) Nicholas LaHaye et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Structure and Performance of GFDL's CM4.0 Climate Model

(2019) I. M. Held et al.   Journal of Advances in Modeling Earth Systems

A Deep Learning Algorithm of Neural Network for the Parameterization of Typhoon-Ocean Feedback in Typhoon Forecast Models

(2018) Guo-Qing Jiang et al.   GEOPHYSICAL RESEARCH LETTERS

Could Machine Learning Break the Convection Parameterization Deadlock?

(2018) P. Gentine et al.   GEOPHYSICAL RESEARCH LETTERS

Prognostic Validation of a Neural Network Unified Physics Parameterization

(2018) N. D. Brenowitz et al.   GEOPHYSICAL RESEARCH LETTERS

Deep learning to represent subgrid processes in climate models

(2018) Stephan Rasp et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Reynolds averaged turbulence modelling using deep neural networks with embedded invariance

(2016) Julia Ling et al.   JOURNAL OF FLUID MECHANICS

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

SAGRAD: A Program for Neural Network Training with Simulated Annealing and the Conjugate Gradient Method

(2015) Javier Bernal et al.   JOURNAL OF RESEARCH OF THE NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY

Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks

(2014) Jonathan Tompson et al.   ACM TRANSACTIONS ON GRAPHICS

The dropout learning algorithm

(2014) Pierre Baldi et al.   ARTIFICIAL INTELLIGENCE

XSEDE: Accelerating Scientific Discovery

(2014) John Towns et al.   COMPUTING IN SCIENCE & ENGINEERING

Restricting 32-128 km horizontal scales hardly affects the MJO in the Superparameterized Community Atmosphere Model v.3.0 but the number of cloud-resolving grid columns constrains vertical mixing

(2014) Michael S. Pritchard et al.   Journal of Advances in Modeling Earth Systems

The Community Earth System Model: A Framework for Collaborative Research

(2013) James W. Hurrell et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations

(2010) M. Valiev et al.   COMPUTER PHYSICS COMMUNICATIONS

The Role of Convective Moistening in the Madden–Julian Oscillation

(2009) Katherine Thayer-Calder et al.   JOURNAL OF THE ATMOSPHERIC SCIENCES

Evaluation of the Simulated Interannual and Subseasonal Variability in an AMIP-Style Simulation Using the CSU Multiscale Modeling Framework

(2008) Marat Khairoutdinov et al.   JOURNAL OF CLIMATE