Multi-scale physics-informed neural networks for solving high Reynolds number boundary layer flows based on matched asymptotic expansions by Jianlin Huang, Rundi Qiu, Jingzhu Wang, Yiwei Wang

Subjects: “…Physics-informed neural networks (PINNs)…”
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Identification of physical properties in acoustic tubes using physics-informed neural networks by Kazuya YOKOTA, Masataka OGURA, Masajiro ABE

Subjects: “…physics-informed neural networks (pinns)…”
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Optimizing Pig Iron Desulfurization Using Physics-Informed Neural Networks (PINNs) by Andrii Pylypenko, Peter Demeter, Branislav Buľko, Slavomír Hubatka, Lukáš Fogaraš, Jaroslav Legemza, Jaroslav Demeter

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Multi-frequency wavefield modeling of acoustic VTI wave equation using physics informed neural networks by Ali Imran Sandhu, Umair bin Waheed, Chao Song, Oliver Dorn, Pantelis Soupios

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Physics-Informed Neural Network (PINN) Evolution and Beyond: A Systematic Literature Review and Bibliometric Analysis by Zaharaddeen Karami Lawal, Hayati Yassin, Daphne Teck Ching Lai, Azam Che Idris

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Using Physics-Informed Neural Networks (PINNs) for Tumor Cell Growth Modeling by José Alberto Rodrigues

Subjects: “…physics-informed neural networks (PINNs)…”
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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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SAG’s Overload Forecasting Using a CNN Physical Informed Approach by Rodrigo Hermosilla, Carlos Valle, Héctor Allende, Claudio Aguilar, Erich Lucic

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Beyond p-y method: A review of artificial intelligence approaches for predicting lateral capacity of drilled shafts in clayey soils by M.E. Al-Atroush, A.E. Aboelela, Ezz El-Din Hemdan

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Kolmogorov–Arnold Finance-Informed Neural Network in Option Pricing by Charles Z. Liu, Ying Zhang, Lu Qin, Yongfei Liu

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Quantitative Analysis of the Fractional Fokker–Planck–Levy Equation via a Modified Physics-Informed Neural Network Architecture by Fazl Ullah Fazal, Muhammad Sulaiman, David Bassir, Fahad Sameer Alshammari, Ghaylen Laouini

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A Compact Memristor Model Based on Physics-Informed Neural Networks by Younghyun Lee, Kyeongmin Kim, Jonghwan Lee

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Numerical modeling of the propagation process of landslide surge using physics-informed deep learning by Yinghan Wu, Kaixuan Shao, Francesco Piccialli, Gang Mei

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Physics-informed deep learning for incompressible laminar flows by Chengping Rao, Hao Sun, Yang Liu

Subjects: “…Physics-informed neural networks (PINN)…”
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A Deep Learning-Based Approach for a Numerical Investigation of Soil–Water Vertical Infiltration with Physics-Informed Neural Networks by Yuting Yang, Gang Mei

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Reconstruction of 3D flow field around a building model in wind tunnel: a novel physics-informed neural network framework adopting dynamic prioritization self-adaptive loss balance... by En-Ze Rui, Zheng-Wei Chen, Yi-Qing Ni, Lei Yuan, Guang-Zhi Zeng

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Solving partial differential equation for atmospheric dispersion of radioactive material using physics-informed neural network by Gibeom Kim, Gyunyoung Heo

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An Improved Neural Particle Method for Complex Free Surface Flow Simulation Using Physics-Informed Neural Networks by Kaixuan Shao, Yinghan Wu, Suizi Jia

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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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Stochastic Memristor Modeling Framework Based on Physics-Informed Neural Networks by Kyeongmin Kim, Jonghwan Lee

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