Search Results - 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.

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

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

Subject Terms: 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)

Authors: Lytviak, Oleksandr Trishch, Roman Khomiak, Eduard et al.

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

Subject Terms: 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.

Authors: Kamel, Ehsan

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

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

Model-Based Scale-up Methodologies for Pharmaceutical Granulation.

Authors: Jang, Eun Ha Park, Yun Sang Kim, Min-Soo et al.

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

Subject Terms: 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.

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

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

Subject Terms: 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.

Authors: Choi, Junho Lee, Yong Yi Lee, Kwan H. et al.

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

Subject Terms: DISTRIBUTION (Probability theory), LIGHTING, COMPUTATIONAL photography, REFLECTANCE

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

Authors: An, Guangshuo Xiang, Gong Xiang, Xianbo et al.

Source: 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.

Authors: Amiri, Mehdi Qajar, Jafar Raeini, Ali Q. et al.

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

Subject Terms: 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.

Authors: Zhao, Shule Zhang, Weiwei

Source: 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.

Authors: Zou, Hang Zhang, Qingyang Lu, Hongyang et al.

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

Advancing chemical engineering technology with artificial intelligence Open Access.

Authors: Ding, Chuxuan Gui, Xin Jiang, Jun

Source: 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.

Authors: Pe, Philip Ransing, R.S.

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

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

Vlasov methods in space physics and astrophysics.

Authors: Palmroth, Minna Ganse, Urs Pfau-Kempf, Yann et al.

Source: 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.

Authors: Kim, Jaehyuk Yang, Zhuo Lu, Yan

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

Subject Terms: 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.

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

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

Subject Terms: 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.

Authors: Rafizadeh, Hamidreza Fialho Leandro Alves Teixeira, Muge Donovan, Jared et al.

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

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

A cellular automata model of surface water flow.

Authors: Parsons, Jay A. Fonstad, Mark A.

Source: Hydrological Processes; 7/30/2007, Vol. 21 Issue 16, p2189-2195, 7p

Subject Terms: HYDRAULICS, HYDROLOGY, HYDROLOGIC models, CELLULAR automata, SEDIMENTATION & deposition, SEDIMENT transport, UNSTEADY flow, DIFFUSION in hydrology, STREAM measurements, CALIBRATION, EROSION, EXPERIMENTAL watershed areas

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

Authors: Jatoliya, Ajay Bhattacharya, Debayan Manna, Bappaditya et al.

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

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

Applying machine learning to wire arc additive manufacturing: a systematic data-driven literature review.

Authors: Hamrani, Abderrachid Agarwal, Arvind Allouhi, Amine et al.

Source: Journal of Intelligent Manufacturing; Aug2024, Vol. 35 Issue 6, p2407-2439, 33p

Subject Terms: ELECTRIC welding, ARTIFICIAL intelligence, MATERIALS science, PROCESS optimization, MACHINE learning

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

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

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

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