Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution

26 March 2021

Papers citing "Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution"

11 / 11 papers shown

Title
Variational Autoencoding of PDE Inverse Problems Daniel J. Tait Theodoros Damoulas AI4CE 11 12 0 28 Jun 2020
Machine learning based digital twin for dynamical systems with multiple time-scales S. Chakraborty S. Adhikari AI4CE 28 84 0 12 May 2020
From Physics-Based Models to Predictive Digital Twins via Interpretable Machine Learning Michael G. Kapteyn Karen E. Willcox AI4CE 9 33 0 23 Apr 2020
Controlling Rayleigh-Bénard convection via Reinforcement Learning Gerben Beintema Alessandro Corbetta Luca Biferale F. Toschi AI4CE 46 79 0 31 Mar 2020
Bridging data science and dynamical systems theory Tyrus Berry D. Giannakis J. Harlim AI4TS AI4CE 23 22 0 18 Feb 2020
Universal Differential Equations for Scientific Machine Learning Christopher Rackauckas Yingbo Ma Julius Martensen Collin Warner K. Zubov R. Supekar Dominic J. Skinner Ali Ramadhan Alan Edelman AI4CE 45 578 0 13 Jan 2020
D3M: A deep domain decomposition method for partial differential equations Ke Li Keju Tang Tianfan Wu Qifeng Liao AI4CE 44 114 0 24 Sep 2019
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model Jaideep Pathak Alexander Wikner Rebeckah K. Fussell Sarthak Chandra Brian Hunt M. Girvan Edward Ott 20 286 0 09 Mar 2018
Machine Learning, Deepest Learning: Statistical Data Assimilation Problems H. Abarbanel P. Rozdeba S. Shirman PINN 34 72 0 05 Jul 2017
Enabling Smart Data: Noise filtering in Big Data classification Diego García-Gil Julián Luengo S. García Francisco Herrera 89 142 0 06 Apr 2017
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 270 14,196 0 23 Feb 2016