Výsledky vyhledávání - computational geometry and object modeling—physics based modeling keywords*

Quantifying the Influence of Fault Geometry via Mesh Morphing With Applications to Earthquake Dynamic Rupture and Thermal Models of Subduction.

Autoři: Hobson, Gabrielle M. May, Dave A. Gabriel, Alice‐Agnes

Zdroj: Geochemistry, Geophysics, Geosystems: G3; Nov2025, Vol. 26 Issue 11, p1-34, 34p

Témata: EARTHQUAKES, SUBDUCTION zones, GEOPHYSICAL observations, SENSITIVITY analysis, GEOMETRIC modeling, GEOMATHEMATICS, DEFORMATIONS (Mechanics)

BUILDING A MODEL OF THE FLOW IN A NOZZLEFLAPPER VALVE OF THE HP-3 CONTROL PUMP TO IMPROVE THE STABILITY OF CHARACTERISTICS.

Alternate Title: РОЗРОБКА МОДЕЛІ ТЕЧІЇ В СОПЛОВО-ЗАСЛІНКОВОМУ КЛАПАНІ НАСОСА-РЕГУЛЯТОРА НР-3 ДЛЯ ПІДВИЩЕННЯ СТАБІЛЬНОСТІ ХАРАКТЕРИСТИК. (Ukrainian)

Autoři: Lytviak, Oleksandr Trishch, Roman Khomiak, Eduard a další

Zdroj: Eastern-European Journal of Enterprise Technologies; 3/15/2025, Vol. 135 Issue 1, p51-57, 7p

Témata: MANUFACTURING defects, FLOW simulations, VISCOUS flow, COMPUTATIONAL geometry, FLUID flow

A Systematic Literature Review of Physics-Based Urban Building Energy Modeling (UBEM) Tools, Data Sources, and Challenges for Energy Conservation.

Autoři: Kamel, Ehsan

Zdroj: Energies (19961073); Nov2022, Vol. 15 Issue 22, p8649, 24p

Témata: ENERGY conservation, COOLING systems, ENERGY industries, HEATING, COMMERCIAL building energy consumption

Model-Based Scale-up Methodologies for Pharmaceutical Granulation.

Autoři: Jang, Eun Ha Park, Yun Sang Kim, Min-Soo a další

Zdroj: Pharmaceutics; May2020, Vol. 12 Issue 5, p453-453, 1p

Témata: GRANULATION, BATCH processing, MANUFACTURING processes, DIMENSIONLESS numbers, COATING processes, PRODUCT attributes

AI-Based Surrogate Models for the Food and Drink Manufacturing Industry: A Comprehensive Review.

Autoři: Lwele, Emmanuel Shenfield, Alex da Silva, Carlos Eduardo

Zdroj: Processes; Sep2025, Vol. 13 Issue 9, p2929, 33p

Témata: ARTIFICIAL intelligence, FOOD industry, PROCESS control systems, OPTIMIZATION algorithms, MACHINE learning, DIGITAL transformation, PREDICTION models

Adaptive view and illumination planning for SVBRDF measurement of complicated three-dimensional objects.

Autoři: Choi, Junho Lee, Yong Yi Lee, Kwan H. a další

Zdroj: Journal of Electronic Imaging; Jul/Aug2019, Vol. 28 Issue 4, p1-11, 11p

Témata: DISTRIBUTION (Probability theory), LIGHTING, COMPUTATIONAL photography, REFLECTANCE

Physics informed neural networks based identification modelling of ship maneuvering motion and associated optimal excitation design.

Autoři: An, Guangshuo Xiang, Gong Xiang, Xianbo a další

Zdroj: Engineering Applications of Computational Fluid Mechanics; Dec2025, Vol. 19 Issue 1, p1-20, 20p

Assessing Rheology Effects and Pore Space Complexity in Polymer Flow Through Porous Media: A Pore‐Scale Simulation Study.

Autoři: Amiri, Mehdi Qajar, Jafar Raeini, Ali Q. a další

Zdroj: Water Resources Research; May2024, Vol. 60 Issue 5, p1-28, 28p

Témata: POROUS materials, NON-Newtonian flow (Fluid dynamics), BULK viscosity, FLOW simulations, FLUID flow, PRESSURE drop (Fluid dynamics), RHEOLOGY

Euler equation embedded machine learning method for wall pressure and skin friction distribution.

Autoři: Zhao, Shule Zhang, Weiwei

Zdroj: Engineering Applications of Computational Fluid Mechanics; Dec2025, Vol. 19 Issue 1, p1-22, 22p

A comprehensive GPU-accelerated lattice Boltzmann framework for high-Reynolds-number flow in complex rod bundles.

Autoři: Zou, Hang Zhang, Qingyang Lu, Hongyang a další

Zdroj: Engineering Applications of Computational Fluid Mechanics; Dec2025, Vol. 19 Issue 1, p1-26, 26p

Advancing chemical engineering technology with artificial intelligence Open Access.

Autoři: Ding, Chuxuan Gui, Xin Jiang, Jun

Zdroj: Clean Energy; Oct2025, Vol. 9 Issue 5, p55-74, 20p

Graph network simulators (GNS) for modelling particle-based fluid flow with a given inlet velocity.

Autoři: Pe, Philip Ransing, R.S.

Zdroj: International Journal of Numerical Methods for Heat & Fluid Flow; 2025, Vol. 35 Issue 9, p3053-3079, 27p

Témata: FLUID dynamics, FLOW simulations, SEQUENTIAL learning, SIMULATION software, MEAN square algorithms, COMPRESSIBILITY, BOUNDARY value problems

Vlasov methods in space physics and astrophysics.

Autoři: Palmroth, Minna Ganse, Urs Pfau-Kempf, Yann a další

Zdroj: Living Reviews in Computational Astrophysics; 11/14/2025, Vol. 11 Issue 1, p1-81, 81p

A physics-guided deep generative model for predicting melt pool behavior in laser powder bed fusion additive manufacturing.

Autoři: Kim, Jaehyuk Yang, Zhuo Lu, Yan

Zdroj: Journal of Intelligent Manufacturing; Dec2025, Vol. 36 Issue 8, p5715-5735, 21p

Témata: CONVOLUTIONAL neural networks, PREDICTION models, SELECTIVE laser melting, ZONE melting, GENERATIVE artificial intelligence, THREE-dimensional printing, PRODUCT quality, PROCESS control systems

Advancements and applications of digital twin in the railway industry: a literature review.

Autoři: Kushwaha, Dharmendra Kumar, Ankit Harsha, S. P.

Zdroj: International Journal of Rail Transportation; Oct2025, Vol. 13 Issue 5, p865-890, 26p

Témata: DIGITAL twin, RAILROADS, AUTOMATION software, SAFETY, TECHNOLOGICAL innovations, CONDITION-based maintenance

Fabrication-Aware Synthetic Dataset Generation and Compact Geometric Encoding for Architectural Robotic Assembly of Brick Wall Designs.

Autoři: Rafizadeh, Hamidreza Fialho Leandro Alves Teixeira, Muge Donovan, Jared a další

Zdroj: Buildings (2075-5309); Nov2025, Vol. 15 Issue 22, p4041, 28p

Témata: MACHINE learning, BRICK walls, ARTIFICIAL intelligence, ENCODING, INDUSTRIAL robots, INDUSTRIALIZED building, STRUCTURAL stability

Physics-based and machine-learning models for accurate scour depth prediction.

Autoři: Jatoliya, Ajay Bhattacharya, Debayan Manna, Bappaditya a další

Zdroj: Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences; 1/8/2024, Vol. 382 Issue 2264, p1-31, 31p

Témata: MACHINE learning, COMPUTATIONAL fluid dynamics, OFFSHORE structures, PIERS, NUMERICAL analysis

ANN-based deep collocation method for natural convection in porous media.

Autoři: Kumar, Sumant Kumar, B. V. Rathish Murthy, S. V. S. S. N. V. G. Krishna

Zdroj: Neural Computing & Applications; Apr2024, Vol. 36 Issue 11, p6067-6083, 17p

Témata: COLLOCATION methods, POROUS materials, BOUNDARY value problems, NATURAL heat convection, FEEDFORWARD neural networks, FINITE volume method, NEUMANN boundary conditions

Digital Twins - a golden age for industrial mathematics.

Autoři: Hartmann, Dirk Van der Auweraer, Herman

Zdroj: Journal of Mathematics in Industry; 3/20/2025, Vol. 15 Issue 1, p1-15, 15p

Témata: MACHINE learning, DIGITAL twin, INDUSTRIAL publicity, INVERSE problems, LIFE spans

Brownian motion models: cryptographic applications, capabilities, and limitations.

Autoři: Zainalabideen, Abduljameel Suwais, Khaled El-Bakry, Hazem a další

Zdroj: Frontiers in Computer Science; 2025, p1-13, 13p