Learning Everywhere: A Taxonomy for the Integration of Machine Learning and Simulations

29 September 2019

Papers citing "Learning Everywhere: A Taxonomy for the Integration of Machine Learning and Simulations"

5 / 5 papers shown

Title
Surrogate modeling of Cellular-Potts Agent-Based Models as a segmentation task using the U-Net neural network architecture Tien Comlekoglu J. Q. Toledo-Marín Tina Comlekoglu Douglas W. DeSimone Shayn M. Peirce Geoffrey C. Fox J. Glazier 67 1 0 01 May 2025
AI-coupled HPC Workflows S. Jha V. Pascuzzi Matteo Turilli 24 9 0 24 Aug 2022
Scalable HPC and AI Infrastructure for COVID-19 Therapeutics Hyungro Lee André Merzky Li Tan Mikhail Titov Matteo Turilli ... Anda Trifan Hubertus Van Dam S. Wan Sean R. Wilkinson S. Jha 49 10 0 20 Oct 2020
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications E. Samaniego C. Anitescu S. Goswami Vien Minh Nguyen-Thanh Hongwei Guo Khader M. Hamdia Timon Rabczuk X. Zhuang PINN AI4CE 159 1,342 0 27 Aug 2019
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics C. Wehmeyer Frank Noé AI4CE BDL 111 356 0 30 Oct 2017