Search Results - finite volume methods for initial value AND initial-boundary value problems involving pred

A physics-inspired neural network to solve partial differential equations – application in diffusion-induced stress.

Authors: Xue, Yuan Li, Yong Zhang, Kai et al.

Source: Physical Chemistry Chemical Physics (PCCP); 4/7/2022, Vol. 24 Issue 13, p7937-7949, 13p

Efficient integration of deep neural networks in sequential multiscale simulations.

Authors: Tröger, Jendrik‐Alexander Eivazi, Hamidreza Hartmann, Stefan et al.

Source: PAMM: Proceedings in Applied Mathematics & Mechanics; Dec2023, Vol. 23 Issue 4, p1-8, 8p

Subject Terms: ARTIFICIAL neural networks, AUTOMATIC differentiation, BOUNDARY value problems

An enhanced deep neural network with global adaptive weighted gradient for solving hyperbolic partial differential equations.

Authors: Wu, Wei Zhao, Jiebin

Source: European Physical Journal Plus; Jul2025, Vol. 140 Issue 7, p1-21, 21p

Multi-domain physics-informed neural networks for solving transient heat conduction problems in multilayer materials.

Authors: Zhang, Benrong Wang, Fajie Qiu, Lin

Source: Journal of Applied Physics; 6/28/2023, Vol. 133 Issue 24, p1-17, 17p

Subject Terms: HEAT conduction, ARTIFICIAL neural networks, DEEP learning, TEMPERATURE distribution

A deep learning method for solving thermoelastic coupling problem.

Authors: Fang, Ruoshi Zhang, Kai Song, Ke et al.

Source: Zeitschrift für Naturforschung Section A: A Journal of Physical Sciences; Aug2024, Vol. 79 Issue 8, p851-871, 21p

Subject Terms: THERMAL stresses, THERMOELASTICITY, ENGINEERING, DEEP learning, EQUATIONS

Physics-Informed Neural Networks in Grid-Connected Inverters: A Review.

Authors: Mahdouri, Ekram Al Al-Abri, Said Yousef, Hassan et al.

Source: Energies (19961073); Oct2025, Vol. 18 Issue 20, p5441, 19p

Subject Terms: PARAMETER estimation, ELECTRIC inverters, MACHINE learning, FAULT diagnosis, OPTIMIZATION algorithms, SYSTEM identification, ENERGY infrastructure

Simulation of an inductively coupled plasma with a two-dimensional Darwin particle-in-cell code.

Authors: Sydorenko, Dmytro Kaganovich, Igor D. Khrabrov, Alexander V. et al.

Source: Physics of Plasmas; Apr2025, Vol. 32 Issue 4, p1-23, 23p

Subject Terms: DISTRIBUTION (Probability theory), ELECTROMAGNETIC waves, PLASMA Alfven waves, ELECTRIC fields, DENSE plasmas

Flow-dynamics informed Kolmogorov–Arnold networks for simulating subsonic compressible flow around airfoils.

Authors: Sun, Jianren Fei, Zhongyang Qin, Pan

Source: AIP Advances; Nov2025, Vol. 15 Issue 11, p1-20, 20p

Subject Terms: FLUID flow, SUBSONIC flow, DEEP learning, AEROFOILS, ARTIFICIAL neural networks, NONLINEAR regression, PREDICTION models

Physics-informed deep learning to quantify anomalies for real-time fault mitigation in 3D printing.

Authors: Uhrich, Benjamin Pfeifer, Nils Schäfer, Martin et al.

Source: Applied Intelligence; Mar2024, Vol. 54 Issue 6, p4736-4755, 20p

Subject Terms: ARTIFICIAL neural networks, DEEP learning, THREE-dimensional printing, SELECTIVE laser melting, HEAT transfer, THERMAL stresses

Topanga: A kinetic ion plasma code for large-scale ionospheric simulations on magnetohydrodynamic timescales.

Authors: Belyaev, Mikhail A. Larson, David J. Cohen, Bruce I. et al.

Source: Physics of Plasmas; Jan2024, Vol. 31 Issue 1, p1-22, 22p

Subject Terms: DISPLACEMENT currents (Electric), ELECTROMAGNETIC wave absorption, NEUMANN boundary conditions, MAXWELL equations, OHM'S law, ELECTROMAGNETIC pulses, ELECTRON-ion collisions

Numerič ne metode končnih razlik za modeliranje telekomunikacijskih kanalov: pristopi in izzivi. (Slovenian)

Alternate Title: Numerical Finite-Difference Techniques in Telecommunication Channel Modelling - Approaches and Challenges. (English)

Authors: Novak, Roman

Source: Electrotechnical Review / Elektrotehniski Vestnik; 2020, Vol. 87 Issue 4, p165-174, 10p

Subject Terms: TELECOMMUNICATION channels, NEXT generation networks, PARTIAL differential equations, DIFFRACTIVE scattering, RADIO wave propagation, RADIO frequency allocation, FINITE differences

Spatial analysis of environmental factors influencing dust sources in the east of Iran using a new activelearning approach.

Authors: Yariyan, Peyman Amiri, Mahdis Saffariha, Maryam et al.

Source: Geocarto International; 2022, Vol. 37 Issue 26, p11929-11954, 26p

Subject Terms: FACTOR analysis, DUST storms, WIND speed, DUST

Geographic Terms: IRAN

Computationally predicting binding affinity in protein–ligand complexes: free energy-based simulations and machine learning-based scoring functions.

Authors: Wang, Debby D Zhu, Mengxu Yan, Hong

Source: Briefings in Bioinformatics; May2021, Vol. 22 Issue 3, p1-24, 24p

Subject Terms: THERMODYNAMIC cycles, DEEP learning, MACHINERY, FORECASTING, LIGAND binding (Biochemistry)

Physics-informed deep learning for incompressible laminar flows.

Authors: Chengping Rao Hao Sun Yang Liu

Source: Theoretical & Applied Mechanics Letters; Mar2020, Vol. 10 Issue 3, p207-212, 6p

The response of a gravel-bed river planform configuration to flow variations and bed reworking: a modelling study.

Authors: Kaless, Gabriel Mao, Luca Moretto, Johnny et al.

Source: Hydrological Processes; Aug2015, Vol. 29 Issue 17, p3812-3828, 17p

Subject Terms: BED load, BIAS correction (Topology), HYDROGRAPHY, WATERSHEDS

Geographic Terms: NORTHERN Territory

Procedures to build trust in nonlinear elastoplastic integration algorithm: solution and code verification.

Authors: Feng, Yuan Zamani, Kaveh Yang, Han et al.

Source: Engineering with Computers; Oct2020, Vol. 36 Issue 4, p1643-1656, 14p

Subject Terms: ALGORITHMS, NONLINEAR mechanics, SOLID mechanics, TRUST, CIPHERS

On recovering distributed IP information from inductive source time domain electromagnetic data.

Authors: Seogi Kang Oldenburg, Douglas W.

Source: Geophysical Journal International; Oct2016, Vol. 207 Issue 1, p174-196, 23p

Subject Terms: INDUCED polarization, ELECTROMAGNETISM, BIOT-Savart law, GEOMAGNETISM, MATHEMATICAL models

The Negative Existential Cycle

Authors: Veselinova, Ljuba Hamari, Arja

Resource Type: eBook.

Subjects: Language and languages--Variation

Categories: LANGUAGE ARTS & DISCIPLINES / Linguistics / General

Modeling and Simulating Flowing Plasmas and Related Phenomena.

Authors: Ledvina, S. A. Ma, Y.-J. Kallio, E.

Source: Space Science Reviews; Jul2008, Vol. 139 Issue 1-4, p143-189, 47p, 2 Diagrams, 2 Charts, 4 Graphs

Subject Terms: PLASMA gases, PLANETS, NATURAL satellites, COMETS, SOLAR system, MAGNETOHYDRODYNAMICS, MATHEMATICAL models

Finite Volumes for Complex Applications VI Problems & Perspectives : FVCA 6, International Symposium, Prague, June 6-10, 2011

Authors: Jaroslav Fořt Jiří Fürst Jan Halama et al.

Resource Type: eBook.

Subjects: Finite volume method--Congresses

Categories: MATHEMATICS / Differential Equations / General, SCIENCE / Mechanics / General