Physics-Informed Kolmogorov-Arnold Networks for Power System Dynamics by Hang Shuai, Fangxing Li

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Physics-Informed Neural Networks for Unmanned Aerial Vehicle System Estimation by Domenico Bianchi, Nicola Epicoco, Mario Di Ferdinando, Stefano Di Gennaro, Pierdomenico Pepe

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Enhancing convergence speed with feature enforcing physics-informed neural networks using boundary conditions as prior knowledge by Mahyar Jahani-nasab, Mohamad Ali Bijarchi

Subjects: “…Physics-informed neural networks…”
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A Novel Hybrid Boundary Element—Physics Informed Neural Network Method for Numerical Solutions in Electromagnetics by Sami Barmada, Shayan Dodge, Mauro Tucci, Alessandro Formisano, Paolo Di Barba, Maria Evelina Mognaschi

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Physics-Informed Neural Networks for Heat Pump Load Prediction by Viorica Rozina Chifu, Tudor Cioara, Cristina Bianca Pop, Ionut Anghel, Andrei Pelle

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Quantitative assessment of PINN inference on experimental data for gravity currents flows by Mickaël Delcey, Yoann Cheny, Jean Schneider, Simon Becker, Sébastien Kiesgen De Richter

Subjects: “…physics informed neural networks…”
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Application of physics-informed neural networks (PINNs) solution to coupled thermal and hydraulic processes in silty sands by Yuan Feng, Jongwan Eun, Seunghee Kim, Yong-Rak Kim

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Self-adaptive physics-informed quantum machine learning for solving differential equations by Abhishek Setty, Rasul Abdusalamov, Felix Motzoi

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An Importance Sampling Method for Generating Optimal Interpolation Points in Training Physics-Informed Neural Networks by Hui Li, Yichi Zhang, Zhaoxiong Wu, Zhe Wang, Tong Wu

Subjects: “…physics-informed neural networks…”
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Discovering PDEs Corrections from Data Within a Hybrid Modeling Framework by Chady Ghnatios, Francisco Chinesta

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Physics-Informed Neural Network for modeling and predicting temperature fluctuations in proton exchange membrane electrolysis by Islam Zerrougui, Zhongliang Li, Daniel Hissel

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Numerical Solution of the Sine–Gordon Equation by Novel Physics-Informed Neural Networks and Two Different Finite Difference Methods by Svetislav Savović, Miloš Ivanović, Branko Drljača, Ana Simović

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An improved water strider algorithm for solving the inverse Burgers Huxley equation by Hassan Dana Mazraeh, Kourosh Parand, Mehdi Hosseinzadeh, Jan Lansky, Vladimír Nulíček

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Reconstruction of Ship Propeller Wake Field Based on Physics-Informed Neural Networks by HOU Xianrui, ZHOU Xingyu, HUANG Xiaocheng

Subjects: “…physical-information neural network (pinn)…”
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Soil Science-Informed Machine Learning by Budiman Minasny, Toshiyuki Bandai, Teamrat A. Ghezzehei, Yin-Chung Huang, Yuxin Ma, Alex B. McBratney, Wartini Ng, Sarem Norouzi, Jose Padarian, Rudiyanto, Amin Sharififar, Quentin Styc, Marliana Widyastuti

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Solving Nonlinear Energy Supply and Demand System Using Physics-Informed Neural Networks by Van Truong Vo, Samad Noeiaghdam, Denis Sidorov, Aliona Dreglea, Liguo Wang

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Inverse analysis for estimating geotechnical parameters using physics-informed neural networks by Shinichi Ito, Ryusei Fukunaga, Kazunari Sako

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Three-Dimensional Thermal Tomography with Physics-Informed Neural Networks by Theodoros Leontiou, Anna Frixou, Marios Charalambides, Efstathios Stiliaris, Costas N. Papanicolas, Sofia Nikolaidou, Antonis Papadakis

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Advancements in Physics-Informed Neural Networks for Laminated Composites: A Comprehensive Review by Salman Khalid, Muhammad Haris Yazdani, Muhammad Muzammil Azad, Muhammad Umar Elahi, Izaz Raouf, Heung Soo Kim

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Solving Viscous Burgers’ Equation: Hybrid Approach Combining Boundary Layer Theory and Physics-Informed Neural Networks by Rubén Darío Ortiz Ortiz, Oscar Martínez Núñez, Ana Magnolia Marín Ramírez

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