A Machine Learning Framework for Real-time Inverse Modeling and Multi-objective Process Optimization of Composites for Active Manufacturing Control

22 April 2021

Papers citing "A Machine Learning Framework for Real-time Inverse Modeling and Multi-objective Process Optimization of Composites for Active Manufacturing Control"

4 / 4 papers shown

Title
Integrating supervised and unsupervised learning approaches to unveil critical process inputs Paris Papavasileiou Dimitrios G. Giovanis Gabriele Pozzetti M. Kathrein Christoph Czettl Ioannis G. Kevrekidis A. Boudouvis Stéphane P. A. Bordas E. D. Koronaki 23 2 0 13 May 2024
Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process Deepak Akhare Zeping Chen R. Gulotty Tengfei Luo Jian-Xun Wang AI4CE 29 5 0 13 Nov 2023
Machine Learning-Based Multi-Objective Design Exploration Of Flexible Disc Elements Gehendra Sharma Sungkwang Mun Nayeon Lee L. Peterson Daniela Tellkamp A. Nellippallil AI4CE 14 0 0 14 Apr 2023
Residual fourier neural operator for thermochemical curing of composites Gengxiang Chen Yingguang Li Xu Liu Qinglu Meng Jing Zhou Xiaozhong Hao AI4CE 27 7 0 15 Nov 2021