Toward a physics-guided machine learning approach for predicting chaotic systems dynamics by Liu Feng, Yang Liu, Benyun Shi, Jiming Liu

Subjects: “…physics-guided…”
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Comprehensive Review of Physics-Guided Deep Learning: Advancements, Challenges, and Perspectives by CHEN Chong, ZHU Xiaoyu, WANG Fang, XU Yaqian, ZHANG Wei

Subjects: “…scientific paradigm; physics-guided; deep learning; model fusion; governing equations…”
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Prediction of runoff in the upper reaches of the Hei River based on the LSTM model guided by physical mechanisms by Huazhu Xue, Chaoqiang Guo, Guotao Dong, Chenchen Zhang, Yaokang Lian, Qian Yuan

Subjects: “…Physics-guided deep learning…”
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Undergraduate Research on Physics-Informed Graph Attention Networks for COVID-19 Prediction by Yu Liang, Dalei Wu

Subjects: “…physics-guided learning…”
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Physics-Guided Self-Supervised Learning Full Waveform Inversion with Pretraining on Simultaneous Source by Qiqi Zheng, Meng Li, Bangyu Wu

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Physics-Guided Machine Learning-Based Forward-Modeling of Radar Observables: A Case Study on Sentinel-1 Observations of Corn-Fields by Tina Nikaein, Paco Lopez-Dekker

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Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems by Xinyue Xu, Julian Wang

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Behavior modeling for a new flexure-based mechanism by Hunger Game Search and physics-guided artificial neural network by Hieu Giang Le, Thanh-Phong Dao, Minh Phung Dang, Thao Nguyen-Trang

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Physics-Guided Memory Network for building energy modeling by Muhammad Umair Danish, Kashif Ali, Kamran Siddiqui, Katarina Grolinger

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Discussing the spectrum of physics-enhanced machine learning: a survey on structural mechanics applications by Marcus Haywood-Alexander, Wei Liu, Kiran Bacsa, Zhilu Lai, Eleni Chatzi

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Unsupervised Restoration of Underwater Structural Crack Images via Physics-Constrained Image Translation and Multi-Scale Feature Retention by Xianfeng Zeng, Wenji Ai, Zongchao Liu, Xianling Wang

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Corrigendum: PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

Subjects: “…physics-guided machine learning…”
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Modeling of settlement of shallow-founded rocking structures using explainable physics-guided machine learning by Sivapalan Gajan, Christopher Kantor

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An Optimized 1-D CNN-LSTM Approach for Fault Diagnosis of Rolling Bearings Considering Epistemic Uncertainty by Onur Can Kalay

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Editorial: Interdisciplinary approaches to complex systems: highlights from FRCCS 2023/24 by Roberto Interdonato, Roberto Interdonato, Hocine Cherifi

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PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

Subjects: “…physics-guided machine learning…”
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Optimization of process parameters in 3D-nanomaterials printing for enhanced uniformity, quality, and dimensional precision using physics-guided artificial neural network by Anita Ghandehari, Jorge A. Tavares-Negrete, Jerome Rajendran, Qian Yi, Rahim Esfandyarpour

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Scientific Machine Learning for Elastic and Acoustic Wave Propagation: Neural Operator and Physics-Guided Neural Network by Nafisa Mehtaj, Sourav Banerjee

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Scientific Machine Learning for Guided Wave and Surface Acoustic Wave (SAW) Propagation: PgNN, PeNN, PINN, and Neural Operator by Nafisa Mehtaj, Sourav Banerjee

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Urban intersection traffic flow prediction: A physics-guided stepwise framework utilizing spatio-temporal graph neural network algorithms by Yuyan Annie Pan, Fuliang Li, Anran Li, Zhiqiang Niu, Zhen Liu

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