Search Results - computational geometry AND object modeling—physics based modeling general terms*

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)

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

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

Physics-based machine learning for subcellular segmentation in living cells.

Authors: Sekh, Arif Ahmed Opstad, Ida S. Godtliebsen, Gustav et al.

Source: Nature Machine Intelligence; Dec2021, Vol. 3 Issue 12, p1071-1080, 10p

Automating synthetic dataset generation for image-based 3D detection: a literature review.

Authors: Schulz, Paul Hempel, Thorsten Jung, Magnus et al.

Source: Artificial Intelligence Review; Jan2026, Vol. 59 Issue 1, p1-43, 43p

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

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

Appearance Derivatives for Isonormal Clustering of Scenes.

Authors: Koppal, Sanjeev J. Narasimhan, Srinivasa G.

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence; Aug2009, Vol. 31 Issue 8, p1375-1385, 11p, 18 Diagrams

Subject Terms: IMAGE processing, LIGHT sources, PIXELS, ALGORITHMS, COMPUTER simulation, TEXTURES

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

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

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

Digital Twins - a golden age for industrial mathematics.

Authors: Hartmann, Dirk Van der Auweraer, Herman

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

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

Machine Learning in Flocculant Research and Application: Toward Smart and Sustainable Water Treatment.

Authors: Ding, Caichang Shen, Ling Liang, Qiyang et al.

Source: Separations (2297-8739); Aug2025, Vol. 12 Issue 8, p203, 23p

Subject Terms: MACHINE learning, FLOCCULANTS, WATER purification, ENVIRONMENTAL impact analysis, SUSTAINABILITY, REAL-time control, MATHEMATICAL optimization, PREDICTION models

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

Deep Reinforcement and IL for Autonomous Driving: A Review in the CARLA Simulation Environment.

Authors: Czechowski, Piotr Kawa, Bartosz Sakhai, Mustafa et al.

Source: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 16, p8972, 25p

Subject Terms: REINFORCEMENT learning, AUTONOMOUS vehicles, GENERALIZATION, FEEDBACK control systems, MACHINE learning, SIMULATION software

Complexity of life sciences in quantum and AI era.

Authors: Pyrkov, Alexey Aliper, Alex Bezrukov, Dmitry et al.

Source: WIREs: Computational Molecular Science; Jan/Feb2024, Vol. 14 Issue 1, p1-21, 21p

Subject Terms: COMPLEXITY (Philosophy), LIFE sciences, QUANTUM computing, COLLECTIVE behavior, ARTIFICIAL intelligence, COMPUTATIONAL neuroscience