نتائج البحث

Solving the (3+1)D Zakharov-Kuznetsov-Burgers equation using physics-informed neural networks: Lump and soliton wave dynamics in plasma

• Authors : Md. Towhiduzzaman; Md. Abdul Al Mohit; A. Z. M Asaduzzaman

Subjects: Zakharov-Kuznetsov-Burgers (ZKB) equation; Physics-informed neural networks (PINNs); Lump wave solutions

• Source: Results in Physics, Vol 79, Iss , Pp 108512- (2025)

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Constructing Physics-Informed Neural Networks with Architecture Based on Analytical Modification of Numerical Methods by Solving the Problem of Modelling Processes in a Chemical Reactor.

• Authors : Tarkhov D; Department of Higher Mathematics, Peter the Great St. Petersburg Polytechnic University, 29 Polytechnicheskaya Str., 195251 Saint Petersburg, Russia.; Lazovskaya T

Subjects: Neural Networks, Computer* ; Physics*

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jan 06; Vol. 23 (2). Date of Electronic Publication: 2023 Jan 06.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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FE-PINNs: Finite-element-based physics-informed neural networks for surrogate modeling

• Authors : Pranav Sunil; Ryan B. Sills

Subjects: Physics; QC1-999; Electronic computers. Computer science

• Source: APL Machine Learning, Vol 4, Iss 1, Pp - (2026)

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A Systematic Analysis of Physics-Informed Neural Networks for Two-Phase Flow with Capillarity: The Muskat–Leverett Problem

• Authors : Timur Imankulov; Alibek Kuljabekov; Samson Dawit Bekele

Subjects: capillary pressure; coupled partial differential equations; Muskat–Leverett model

• Source: Applied Sciences, Vol 15, Iss 24, p 13011 (2025)

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Accelerated Inverse Design of Multi-Parallel Microperforated Panel Absorbers via Physics-Informed Neural Networks

• Authors : Liyang Jiang; Bohan Cao; Ao Huang

Subjects: microperforated panels; accelerated inverse design; noise control

• Source: Applied Sciences, Vol 15, Iss 22, p 11955 (2025)

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Novel Method to Improve the Convergence of Physics-Informed Neural Networks for Complex Thermal Simulations

• Authors : Amèvi Tongne; Lionel Arnaud

Subjects: Physics-Informed Neural Networks; real-time thermal modeling; adaptive loss balancing

• Source: Applied Sciences, Vol 15, Iss 22, p 12234 (2025)

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Time-Varying Autoregressive Models: A Novel Approach Using Physics-Informed Neural Networks

• Authors : Zhixuan Jia; Chengcheng Zhang

Subjects: time-varying autoregressive model; physics-informed neural networks; generalized additive models

• Source: Entropy, Vol 27, Iss 9, p 934 (2025)

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Data-driven solutions and parameters discovery of the Mukherjee–Kundu equation via physics-informed neural networks with adaptive sampling

• Authors : Wenxu Liu; Tong Li; Xinran Yuan

Subjects: Physics; QC1-999

• Source: AIP Advances, Vol 16, Iss 1, Pp - (2026)

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Quantum Physics-Informed Neural Networks.

• Authors : Trahan, Corey¹ (AUTHOR) ; Loveland, Mark¹ (AUTHOR); Dent, Samuel¹ (AUTHOR)

• Source: Entropy. Aug2024, Vol. 26 Issue 8, p649. 17p.

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Data-driven inference of coupling functions in oscillatory systems via physics-informed neural networks

• Authors : Gyuyoung Hwang; Hyeontae Jo; Jae Kyoung Kim

Subjects: Physics; QC1-999

• Source: Physical Review Research, Vol 8, Iss 1, p 013259 (2026)

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