Výsledky vyhľadávania - computational geometry and object modeling-physics based modeling~

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

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

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

Predmety: 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)

Autori: Lytviak, Oleksandr Trishch, Roman Khomiak, Eduard a ďalší

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

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

Hamzah Certainty Principle. Confirmation of Einstein's Statement 'God Does Not Play Dice' and the Refutation of Heisenberg's Uncertainty Principle: Contrasting the Planck Constant (ℏ/2) with the Hamzah Certainty Constant (ΩH∗). [ΔxΔp ≥ ℏ/2 Heisenberg] → [Hamzah Principle: ΔxΔp = ΩH∗]

Autori: JALALI, SEYED RASOUL

Predmety: quantum mechanics, Heisenberg uncertainty, Schrödinger equation, Hamzah equation, complex integral, fractal derivative, hidden variable, deterministic physics, classical model, electron hydrogen atom, Bohr radius, reduced Planck constant, electron mass, electron charge, vacuum permittivity, Δx, Δp, uncertainty principle, quantum simulation, numerical example, double-slit experiment, tunneling effect, quantum tunneling, probabilistic interpretation, deterministic interpretation, wavefunction, Born rule, Copenhagen interpretation, path integral, fractal physics, fractal uncertainty, hidden variable χ, atomic orbitals, hydrogen energy levels, quantum probabilities, quantum superposition, quantum states, electron trajectory, quantum dynamics, numerical modeling, graphical simulation, scientific validation, physics comparison, classical uncertainty, exponential decay, s-parameter, fractal dimension, knowledge level, visualisation, plotting, matplotlib, numpy, Python code, computational physics, advanced Python, simulation model, particle physics, quantum electrodynamics, atomic physics, subatomic particle, atomic structure, Bohr model, Planck constant, quantum computation, quantum information, QIS, uncertainty reduction, determinism, Heisenberg principle, Schrödinger model, quantum field theory, quantum system, fractal analysis, hidden dynamics, electron cloud, wave-particle duality, trajectory reconstruction, experimental validation, physics experiment, numerical test, s-values, quantum interference, light wavelength, slit separation, screen distance, intensity pattern, quantum fringes, deterministic fringes, tunneling probability, barrier height, barrier width, particle energy, exponential suppression, classical tunneling, Hamzah tunneling, quantum probability, fractal suppression, s-dependence, quantum-classical comparison, atomic simulation, electron localization, measurement effect, quantum determinism, philosophical implication, Einstein principle, God does not play dice, quantum philosophy, advanced modeling, scientific illustration, computational validation, physics education, research tool, atomic simulation, quantum mechanics validation, probability reduction, trajectory determinism, electron motion, hydrogen atom simulation, microscopic physics, electron dynamics, uncertainty minimization, quantum interpretation, experimental simulation, numerical plotting, double-slit pattern, deterministic pattern, interference fringes, Hamzah model comparison, classical vs Hamzah, scientific graphing, Δx·Δp curve, quantum-classical contrast, wavefunction collapse, electron uncertainty, quantum measurement, deterministic outcome, s-parameter scaling, fractal modeling, hidden variables theory, χ-variable, atomic orbital visualization, atomic physics computation, advanced physics code, Python simulation, electron path modeling, hydrogen energy computation, quantum-classical graph, uncertainty visualization, advanced plotting, fractal uncertainty curve, complex integral application, electron localization calculation, atomic electron dynamics, computational experiment, quantum behavior modeling, Heisenberg test, Schrödinger test, Hamzah simulation, numerical validation, physical constants, electron energy, atomic radius calculation, Bohr radius derivation, Planck constant application, mass-energy relation, electron interaction, fractal analysis physics, hidden variable application, complex trajectory, electron orbit prediction, deterministic physics modeling, advanced physics scenario, Hamzah model verification, quantum to classical transition, quantum determinism analysis, electron trajectory reconstruction, quantum uncertainty analysis, ΔxΔp comparison, electron position momentum, quantum state evolution, fractal dimension effect, knowledge-dependent uncertainty, deterministic path, quantum-classical integration, electron energy levels computation, atomic electron simulation, advanced numerical analysis, Python numerical modeling, matplotlib plotting physics, simulation of hydrogen atom, numerical physics experiments, quantum simulation techniques, Hamzah equation implementation, hidden variable physics, fractal derivative application, complex integral evaluation, atomic-scale modeling, electron dynamics visualization, numerical precision physics, quantum trajectory calculation, double-slit simulation, interference visualization, deterministic fringes visualization, Hamzah vs classical comparison, quantum tunneling simulation, tunneling coefficient calculation, exponential decay tunneling, classical tunneling probability, Hamzah tunneling probability, quantum-classical tunneling, s-dependent tunneling, electron barrier interaction, quantum barrier simulation, atomic physics numerical test, numerical modeling in physics, quantum-classical experiments, simulation of ΔxΔp, uncertainty reduction analysis, deterministic electron trajectory, fractal physics simulation, hidden variable validation, complex integral in physics, electron path visualisation, atomic electron path, Bohr orbit modeling, advanced simulation techniques, Python computational physics, numerical physics modeling, hydrogen atom analysis, ΔxΔp calculation, quantum uncertainty minimization, Hamzah model demonstration, electron probability cloud, electron localization analysis, s-parameter impact, fractal trajectory, deterministic quantum mechanics, quantum determinism illustration, advanced atomic physics, computational quantum mechanics, numerical physics research, physics education tool, scientific Python code, visualisation of uncertainty, electron behavior simulation, atomic-scale precision, quantum measurement modeling, deterministic simulation, quantum experimental validation, Hamzah numerical test, classical numerical test, Δx·Δp visualisation, electron orbit comparison, hydrogen atom simulation, fractal uncertainty modeling, hidden variable analysis, advanced physics plotting, Hamzah uncertainty calculation, classical uncertainty calculation, quantum vs Hamzah, electron trajectory analysis, numerical results comparison, graphical physics representation, electron dynamics charting, atomic physics visualization, advanced Python simulation, fractal dimension modeling, deterministic quantum simulation, classical vs deterministic comparison, quantum-classical overlay, simulation graph analysis, ΔxΔp trend, s-dependence visualization, knowledge-based uncertainty, atomic electron trajectory, quantum-to-deterministic mapping, electron momentum analysis, electron position analysis, trajectory vs uncertainty, deterministic physics visualization, Hamzah validation, classical validation, numerical physics experiments, simulation framework, advanced computational scenario, atomic orbitals visualization, atomic simulation Python, numerical modeling Python, computational modeling Python, quantum mechanics advanced, physics advanced modeling, simulation of electron, hydrogen electron visualization, electron orbital simulation, quantum wavefunction modeling, advanced physics computation, fractal physics implementation, hidden variable incorporation, complex integral computation, atomic structure simulation, electron position modeling, electron momentum modeling, trajectory reconstruction analysis, numerical verification, deterministic universe, quantum determinism confirmation, Einstein verification, probabilistic reduction, atomic-scale modeling, electron motion plotting, uncertainty decay, exponential uncertainty reduction, s-scaling impact, atomic precision simulation, electron localization precision, quantum-classical comparison graph, simulation of tunneling, classical vs Hamzah tunneling, electron barrier simulation, atomic physics numerical validation, quantum physics numerical modeling, physics Python simulation, numerical precision simulation, advanced simulation graphing, electron uncertainty evaluation, ΔxΔp comparison chart, simulation of electron path, atomic simulation numerical test, deterministic trajectory verification, complex integral application in atomic physics, fractal derivative impact, s-parameter effect, Hamzah scenario demonstration, quantum to deterministic transition, electron dynamics verification, classical physics vs Hamzah, atomic-scale electron modeling, advanced simulation framework, numerical visualization, simulation reproducibility, deterministic hydrogen atom model, computational physics validation, simulation scenario Python, electron path plotting, atomic physics computational code, hydrogen electron modeling Python, electron orbital path, deterministic quantum mechanics modeling, advanced atomic simulation, numerical precision Python, quantum-classical comparison demonstration, Hamzah numerical results, atomic physics scenario, simulation verification, numerical comparison, ΔxΔp calculation Python, advanced plotting Python, electron path reconstruction, quantum mechanics illustration, hydrogen atom numerical analysis, numerical physics demonstration, simulation code Python, deterministic electron simulation, fractal trajectory analysis, electron behavior visualization, numerical simulation framework, quantum determinism verification, s-dependent uncertainty modeling, Hamzah model graph, electron orbital visualisation, atomic precision modeling, advanced electron trajectory, electron motion charting, fractal physics Python, hidden variable χ application, complex integral simulation, atomic electron verification, deterministic trajectory illustration, quantum uncertainty comparison, classical ΔxΔp analysis, Hamzah ΔxΔp analysis, numerical experiment Python, advanced physics Python code, quantum-classical validation, electron orbit comparison chart, atomic physics numerical simulation, electron dynamics simulation, trajectory analysis Python, hydrogen atom experiment Python, electron localization demonstration, electron probability cloud visualization, atomic trajectory simulation, electron motion verification, advanced numerical physics, Hamzah equation simulation, simulation of Δx·Δp, graphical simulation Python, electron uncertainty Python, deterministic path verification, electron motion modeling, classical vs Hamzah numerical, atomic simulation scenario, numerical hydrogen atom simulation, simulation verification Python, atomic physics trajectory plotting, electron orbit simulation Python, advanced quantum physics modeling, deterministic trajectory Python, Hamzah validation scenario, classical validation scenario, advanced physics visualization, electron trajectory numerical, hydrogen atom visualization, atomic orbit numerical, electron motion experiment, quantum-classical overlay Python, deterministic hydrogen electron, ΔxΔp scenario Python, fractal derivative simulation, complex integral modeling, s-parameter visualization, Hamzah scenario graph, quantum-classical comparison Python, advanced simulation visualization, numerical simulation graph, electron behavior analysis Python, atomic orbit plotting, electron momentum visualization, Δx·Δp chart, deterministic quantum Python, electron trajectory demonstration, atomic electron motion Python, hydrogen electron path modeling, numerical scenario validation, quantum-classical scenario Python, atomic physics modeling Python, electron uncertainty visualization, Hamzah scenario validation, simulation of tunneling Python, classical vs Hamzah tunneling Python, deterministic electron behavior, advanced atomic visualization, numerical electron path, Δx·Δp comparison visualization, simulation code demonstration, electron orbital comparison, atomic physics simulation Python, advanced simulation techniques Python, quantum deterministic illustration, electron motion simulation Python, Hamzah numerical verification, classical numerical verification, simulation of electron motion, electron position trajectory, Δx·Δp trend visualization, hydrogen atom scenario modeling, electron trajectory analysis Python, Hamzah scenario demonstration Python, atomic-scale simulation Python, quantum-classical determinism, electron orbital trajectory, numerical physics demonstration Python, deterministic hydrogen electron path, advanced computational modeling, atomic physics simulation Python, Hamzah model numerical demonstration, simulation of electron trajectory, fractal trajectory Python, electron momentum trajectory, Δx·Δp visualization Python, simulation of hydrogen electron, numerical physics analysis Python, electron localization analysis Python, Hamzah equation Python, advanced scenario modeling Python, deterministic electron trajectory Python, atomic-scale modeling Python

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

Autori: Kamel, Ehsan

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

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

Model-Based Scale-up Methodologies for Pharmaceutical Granulation.

Autori: Jang, Eun Ha Park, Yun Sang Kim, Min-Soo a ďalší

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

Predmety: 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.

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

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

Predmety: 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.

Autori: Choi, Junho Lee, Yong Yi Lee, Kwan H. a ďalší

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

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

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

Autori: Schulz, Paul Hempel, Thorsten Jung, Magnus a ďalší

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

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

Autori: Sekh, Arif Ahmed Opstad, Ida S. Godtliebsen, Gustav a ďalší

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

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

Autori: An, Guangshuo Xiang, Gong Xiang, Xianbo a ďalší

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.

Autori: Amiri, Mehdi Qajar, Jafar Raeini, Ali Q. a ďalší

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

Predmety: 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.

Autori: 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.

Autori: Zou, Hang Zhang, Qingyang Lu, Hongyang a ďalší

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

Advancing chemical engineering technology with artificial intelligence Open Access.

Autori: 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.

Autori: Pe, Philip Ransing, R.S.

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

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

Vlasov methods in space physics and astrophysics.

Autori: Palmroth, Minna Ganse, Urs Pfau-Kempf, Yann a ďalší

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

A Data-Driven Surrogate Model for Predicting Springback in Deep Drawing Processes.

Autori: Heinzelmann, Pascal Baum, Sebastian Riedmüller, Kim Rouven a ďalší

Zdroj: Journal of Physics: Conference Series; 2025, Vol. 3104 Issue 1, p1-10, 10p

Appearance Derivatives for Isonormal Clustering of Scenes.

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

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

Predmety: IMAGE processing, LIGHT sources, PIXELS, ALGORITHMS, COMPUTER simulation, TEXTURES

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

Autori: Kim, Jaehyuk Yang, Zhuo Lu, Yan

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

Predmety: 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.

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

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

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