Health assessment of a brushless direct current motor stator using a physics-informed long short-term memory network by Yi Ren, Runfei Yi, Zhaoxin Lian, Quan Xia, Dezhen Yang, Bo Sun, Qiang Feng

Subjects: “…Physics-informed neural network…”
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Physics Informed Neural Networks for Modeling Large-Scale Wind Driven Ocean Circulation by Boohyun An, Mohammad Z. Shanti, Chan Yeob Yeun, Ernesto Damiani, Sungmun Lee, Tae-Yeon Kim

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Magnetic Resonance Spectroscopy (MRS) transforming multiple sclerosis (MS) diagnosis by Landoline Bonnin, Pascal Bourdon, Carole Guillevin, Remy Guillevin, Clement Giraud, Christine Fernandez-Maloigne

Subjects: “…Physics Informed Neural Network…”
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A holistic physics-informed neural network solution for precise destruction of breast tumors using focused ultrasound on a realistic breast model by Salman Lari, Hossein Rajabzadeh, Mohammad Kohandel, Hyock Ju Kwon

Subjects: “…physics-informed neural network…”
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Physics-Informed Neural Network-Based Input Shaping for Vibration Suppression of Flexible Single-Link Robots by Tingfeng Li, Tengfei Xiao

Subjects: “…physics-informed neural network (PINN)…”
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A Navier–Stokes-Informed Neural Network for Simulating the Flow Behavior of Flowable Cement Paste in 3D Concrete Printing by Tianjie Zhang, Donglei Wang, Yang Lu

Subjects: “…physics-informed neural network…”
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Physics-Informed Kolmogorov-Arnold Networks for Power System Dynamics by Hang Shuai, Fangxing Li

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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

Subjects: “…Physics-informed neural networks…”
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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

Subjects: “…Physics-informed neural networks…”
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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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Extrapolation of cavitation and hydrodynamic pressure in lubricated contacts: a physics-informed neural network approach by Faras Brumand-Poor, Freddy Kokou Azanledji, Nils Plückhahn, Florian Barlog, Lukas Boden, Katharina Schmitz

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