المؤلفون: M. L. Mamud, M. K. Mudunuru, S. Karra, B. Ahmmed

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)

مصطلحات موضوعية: Partial differential equations, Physics-informed neural networks, Mass balance errors, Porous media flow, Analytical and numerical solutions, Medicine, Science

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2045-2322Test

الوصول الحر: https://doaj.org/article/70aefee2c4c04c53a4971090dd5188f8Test

المؤلفون: Lukács Kuslits, András Horváth, Viktor Wesztergom, Ciaran Beggan, Tibor Rubóczki, Ernő Prácser, Lili Czirok, István Bozsó, István Lemperger

المصدر: Earth, Planets and Space, Vol 76, Iss 1, Pp 1-41 (2024)

مصطلحات موضوعية: Geomagnetic field, Geodynamo, Current loops, Physics informed neural networks, Domain adversarial training, Geography. Anthropology. Recreation, Geodesy, QB275-343, Geology, QE1-996.5

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1880-5981Test

الوصول الحر: https://doaj.org/article/2a0ec0adb2f5479fbe9e21dafa708cc7Test

المؤلفون: Tarik Sahin, Max von Danwitz, Alexander Popp

المصدر: Advanced Modeling and Simulation in Engineering Sciences, Vol 11, Iss 1, Pp 1-30 (2024)

مصطلحات موضوعية: Physics-informed neural networks, Mixed-variable formulation, Contact mechanics, Enforcing inequalities, Fischer–Burmeister NCP-function, Mechanics of engineering. Applied mechanics, TA349-359, Systems engineering, TA168

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2213-7467Test

الوصول الحر: https://doaj.org/article/d6ec803a7f784131ba3caadd26db4e9fTest

المؤلفون: Xia, Mingtao, Böttcher, Lucas, Chou, Tom

المصدر: Machine Learning: Science and Technology. 4(2)

مصطلحات موضوعية: physics-informed neural networks, spectral methods, adaptive methods, PDE models, unbounded domains

الوصول الحر: https://escholarship.org/uc/item/33d6g8m2Test

المؤلفون: Eivazi, Hamidreza, Wang, Yuning, Vinuesa, Ricardo

المصدر: Measurement science and technology. 35(7)

مصطلحات موضوعية: physics informed neural networks, machine learning, deep learning, vortex shedding, channel flow

وصف الملف: print

الوصول الحر: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-346308Test
https://doi.org/10.1088/1361-6501/ad3fd3Test

المؤلفون: K. Chandan, Rania Saadeh, Ahmad Qazza, K. Karthik, R. S. Varun Kumar, R. Naveen Kumar, Umair Khan, Atef Masmoudi, M. Modather M. Abdou, Walter Ojok, Raman Kumar

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)

مصطلحات موضوعية: Heat transfer, Fin, Wavy fin, Internal heat generation, Physics-informed neural networks, Medicine, Science

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2045-2322Test

الوصول الحر: https://doaj.org/article/924c317c0832419db93b2ce189caffd8Test

المؤلفون: Hong Liang, Zilong Song, Chong Zhao, Xin Bian

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)

مصطلحات موضوعية: Unsteady compressible flow, Normal shock, Physics-informed neural networks, Direct numerical simulation, Medicine, Science

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2045-2322Test

الوصول الحر: https://doaj.org/article/fe00cd8d476247fe84c3166634dee851Test

المؤلفون: Gnanasambandam, Raghav

مرشدي الرسالة: Industrial and Systems Engineering, Kong, Zhenyu, Johnson, Blake, Chen, Xi, Yue, Xiaowei

مصطلحات موضوعية: Additive Manufacturing, Deep Gaussian Process, Bayesian Optimization, Physics-informed Neural Networks, Fourier Neural Operators

وصف الملف: ETD; application/pdf

الإتاحة: https://hdl.handle.net/10919/118911Test

المؤلفون: Jingyue Liu, Pablo Borja, Cosimo Della Santina

المصدر: Advanced Intelligent Systems, Vol 6, Iss 5, Pp n/a-n/a (2024)

مصطلحات موضوعية: dissipation, Euler–Lagrange equations, Hamiltonian neural networks, Lagrangian neural networks, model‐based control, physics‐informed neural networks, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2640-4567Test

الوصول الحر: https://doaj.org/article/7aa8e438c1b34390b1fecb260cad9179Test

المؤلفون: Jiahuan He, Yang Liu, Hong Li

المصدر: Results in Applied Mathematics, Vol 22, Iss , Pp 100462- (2024)

مصطلحات موضوعية: Coupled Klein–Gordon–Zakharov (KGZ) systems, Time differential order reduction, Multi-output physics-informed neural networks, Reliability analysis, Mathematics, QA1-939

وصف الملف: electronic resource

العلاقة: http://www.sciencedirect.com/science/article/pii/S2590037424000323Test; https://doaj.org/toc/2590-0374Test

الوصول الحر: https://doaj.org/article/802cd29f5fed4dfbb0241b8a72763372Test