Applying physics-based loss functions to neural networks for improved generalizability in mechanics problems

30 April 2021

Papers citing "Applying physics-based loss functions to neural networks for improved generalizability in mechanics problems"

6 / 6 papers shown

Title
Aeroengine performance prediction using a physical-embedded data-driven method Tong Mo Shiran Dai An Fu Xiaomeng Zhu Shuxiao Li 27 0 0 29 Jun 2024
Physics-Enhanced TinyML for Real-Time Detection of Ground Magnetic Anomalies Talha Siddique Md. Shaad Mahmud AI4CE 24 4 0 19 Nov 2023
Zero-Shot Transfer Learning for Structural Health Monitoring using Generative Adversarial Networks and Spectral Mapping Mohammad Hesam Soleimani-Babakamali Roksana Soleimani-Babakamali K. Nasrollahzadeh Onur Avcı S. Kiranyaz E. Taciroğlu MedIm 19 26 0 07 Dec 2022
Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems Oliver Schön Ricarda-Samantha Götte Julia Timmermann AI4CE 11 5 0 27 Apr 2022
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 183 759 0 13 Mar 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 295 10,618 0 19 Feb 2017