Suchergebnisse - (state OR stateeed) python code analysis*

Quantitative virus infectivity titration and dose-response analyses using cell-culture based methods and python code-assisted data analysis.

Autoren: Kyröläinen HM Mustonen I Enäkoski J et al.

Quelle: IScience [iScience] 2026 Feb 13; Vol. 29 (3), pp. 115018. Date of Electronic Publication: 2026 Feb 13 (Print Publication: 2026).

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Cell Press Country of Publication: United States NLM ID: 101724038 Publication Model: eCollection Cited Medium: Internet ISSN: 2589-0042 (Electronic) Linking ISSN: 25890042 NLM ISO Abbreviation: iScience Subsets: PubMed not MEDLINE

A Study of Large Language Models in Detecting Python Code Violations.

Autoren: Mohammed Salih, Hekar A. Sarhan, Qusay I.

Quelle: ARO: The Scientific Journal of Koya University; 2025, Vol. 13 Issue 2, p215-225, 11p

Schlagwörter: LANGUAGE models, QUALITY assurance, COMPUTER software quality control, NATURAL language processing

Protocol for automated analysis of biological images using Python code.

Autoren: Sacks B Mody J Huang Y et al.

Quelle: STAR protocols [STAR Protoc] 2026 Feb 24; Vol. 7 (1), pp. 104368. Date of Electronic Publication: 2026 Feb 24.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Cell Press Country of Publication: United States NLM ID: 101769501 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2666-1667 (Electronic) Linking ISSN: 26661667 NLM ISO Abbreviation: STAR Protoc Subsets: MEDLINE

Quantifying cross-language code reuse via function-level clone detection

Autoren: Yi Rong Yan Zhou

Quelle: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 10, Pp 1-20 (2025)

Schlagwörter: Natural language processing, Code reuse detection, Function-level clone analysis, Java and python source code, Academic plagiarism detection, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Zugangs-URL: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

A Reproducible Python-Based Computational Pipeline for Real-Time Ingestion, Advanced Analysis, and Dynamic Reporting of Public Health Data: A Systems Validation Study.

Autoren: Krishnapur PK Cm C B A et al.

Quelle: Cureus [Cureus] 2026 Feb 05; Vol. 18 (2), pp. e103008. Date of Electronic Publication: 2026 Feb 05 (Print Publication: 2026).

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Cureus, Inc Country of Publication: United States NLM ID: 101596737 Publication Model: eCollection Cited Medium: Print ISSN: 2168-8184 (Print) Linking ISSN: 21688184 NLM ISO Abbreviation: Cureus Subsets: PubMed not MEDLINE

Comparative Analysis of AI Models for Python Code Generation: A HumanEval Benchmark Study.

Autoren: Bayram, Ali Menekse Dalveren, Gonca Gokce Derawi, Mohammad

Quelle: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 18, p9907, 17p

Schlagwörter: ARTIFICIAL intelligence, PYTHON programming language, COMPARATIVE studies, EVALUATION methodology, BENCHMARK problems (Computer science), GENERATIVE pre-trained transformers, MACHINE learning, COMPUTER software development

Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning

Autoren: Zhao, Wenting Abdelaziz, Ibrahim Dolby, Julian et al.

Index Begriffe: Computer Science - Programming Languages, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2301.05108

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Autoren: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

Quelle: Future Internet; Sep2025, Vol. 17 Issue 9, p412, 28p

Schlagwörter: LANGUAGE models, EXPERIMENTAL design, PYTHON programming language, GENERATIVE pre-trained transformers, QUANTITATIVE research, BENCHMARK problems (Computer science), CODE generators

Empirical Auto-Evaluation of Python Code for Performance Analysis of Transformer Network Using T5 Architecture

Autoren: Isha Ganguli Rajat Subhra Bhowmick Shivam Biswas et al.

Quelle: 2021 8th International Conference on Smart Computing and Communications (ICSCC). :75-79

Generative AI for Geospatial Analysis: Fine-Tuning ChatGPT to Convert Natural Language into Python-Based Geospatial Computations.

Autoren: Sherman, Zachary Sharma Dulal, Sandesh Cho, Jin-Hee et al.

Quelle: ISPRS International Journal of Geo-Information; Aug2025, Vol. 14 Issue 8, p314, 21p

Schlagwörter: GEOSPATIAL data, LANGUAGE models, PYTHON programming language, GENERATIVE artificial intelligence, GEODATABASES, CHATGPT, SMART cities

Firma/Körperschaft: OPENAI Inc.

Effect of Deep Recurrent Architectures on Code Vulnerability Detection: Performance Evaluation for SQL Injection in Python.

Autoren: Slotkienė, Asta Poška, Adomas Stefanovič, Pavel et al.

Quelle: Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3436, 19p

Schlagwörter: DEEP learning, COMPUTER software security, PYTHON programming language

Yusuf Suresinin Anlam İlişkileri ve Hikâye Birleşenlerinin Pyhton Kodlu Matematiksel Görselleştirmelerle Tahlili. (Turkish)

Alternate Title: Analysis of the Meaning Relations and Story Components of Surah Yusuf Via Python Coded Mathematical Visualizations. (English)

Autoren: Yücel, Doğan Er, Ülkü Aysel, Metin et al.

Quelle: International Journal of Social Sciences (IJSS) / Uluslararası Sosyal Bilimler Dergisi; 2025, Vol. 9 Issue 41, p1-42, 42p

Schlagwörter: TIME series analysis, THEMATIC maps, GRAPH theory, PYTHON programming language, QUR'ANIC criticism

Automation of Measurements of A Stepper Motor-driven Optical Monochromator Using Python.

Autoren: Şeker, Ş. Schwarz, P. Weidner, C. et al.

Quelle: Physics & Astronomy Reports; Dec2025, Vol. 3 Issue 2, p94-99, 6p

Schlagwörter: STEPPING motors, PYTHON programming language, SPECTROMETERS, LASER-induced fluorescence, FINITE state machines, OPEN scholarship, AUTOMATION, GRAPHICAL user interfaces

What Happened Before the Big Bang? – Quantum Simulation of the Pre-Big Bang Universe via the ψ–Hamzah Equation

Autoren: JALALI, SEYED RASOUL

Schlagwörter: Hamzah Equation, Pre-Big Bang, ψ–Hamzah Model, Intelligent entropy, Absolute time, Consciousness field, Primordial Consciousness, Quantum simulation, Quantum gravity, Pre-cosmic field, Oscillatory entropy, Intelligent oscillations, Negative temperature, Negative Kelvin state, Pre-Bang equilibrium, Collapse of unstable equilibrium, Planck time, Beyond Planck, Fractal derivatives, Fractional calculus, Consciousness as dimension, 12th dimension, Encrypted equation, Irreversible structure, Conscious entropy, Dark energy memory, Quantum fluctuations, Entropy mapping, Power spectrum, Fourier analysis, Spectral entropy, Quantum cosmology, Pre-Planck state, Entropy before Planck, ψ collapse, Conscious origin, Quantum information field, Numerical simulation, Python code, TensorFlow Quantum, Clingo ASP, Dask MPI, FFT entropy spectrum, Inflaton field, Quantum_gravity_effect, Energy_density function, Cosmic_evolution function, solve_ivp integration, Entropy growth, DNA-like spectrum, Consciousness oscillations, Quantum turbulence, Pre-time domain, Intelligent code, Language of creation, Encrypted structure, Consciousness entropy growth, Pre-Bang oscillatory patterns, Entropy inversion, Conscious equilibrium collapse, Collapse to Big Bang, Δt = 2.6 × 10⁻⁴⁴ s, Shorter than Planck, CMB entropy validation, Beyond relativity, Beyond Hawking, Beyond string theory, Beyond M-theory, Consciousness simulation, Ψ AI, Psi-AI, Encrypted AI, Encrypted simulation, Conscious algorithms, Pre-cosmic intelligence, Multiverse extension, Parallel universes, Consciousness rings, Intelligent multiverse, Quantum coherence, Quantum memory, Information field, Conscious topology, Absolute intelligence, Pre-cosmic encryption, Hamzah time, Hamzah vs Planck, Hamzah vs Einstein, Hamzah vs Hawking, Hamzah vs String theory, Hamzah vs M-Theory, Consciousness as physics, Pre-physical order, Intelligent entropy inversion, Collapse to creation, Encrypted cosmology, Conscious oscillatory code, Pre-time simulation, Simulation GUI, Numerical reproducibility, Cosmic entropy graphs, Inflaton oscillations, Quantum fluctuation spectra, Intelligent cosmogenesis, Non-random entropy, Pre-cosmic data, Primordial order, Non-singularity model, Breaking Planck limit, Post-quantum physics, Beyond singularities, Intelligent mathematics, Multi-layer derivatives, Conscious Lagrangian, Quantum informational collapse, Absolute entropy collapse, Human analogy, 12D cosmology, Intelligent cosmology, Conscious order, Intelligent mathematics, Conscious entropy tensor, Pre-physical intelligence, Collapse-driven creation, Post-singularity physics, Encrypted derivatives, Pre-cosmic resonance, Intelligent turbulence, Oscillatory resonance, Entropic instability, Entropic decoherence, Collapse of symmetry, Emergence of spacetime, Creation as instability, Quantum informational entropy, Pre-birth order, Intelligent genesis, Scientific prophecy, Conscious cosmogenesis, Ψ encrypted model, ψ-based cosmology, Conscious-quantum integration, Conscious-physics synthesis, Future civilisational model, Global governance with Hamzah, Predictive economics entropy, Conscious medicine, Ψ-DNA, Conscious genetics, Cosmic engineering, Pre-time analysis, Universal code, Intelligent universe, Conscious field encryption, Absolute oscillations, Consciousness explosion, Information shock, Birth of spacetime, Intelligent oscillatory collapse, Conscious instability, Quantum entropy spectrum, Intelligent equations, Living entropy, Conscious creation machine

Analyzing LLM-Generated Code According to Four ISO/IEC 5055:2021 Categories

Autoren: Rasmus Krebs Somnath Mazumdar

Quelle: IEEE Access, Vol 13, Pp 202482-202499 (2025)

Schlagwörter: Analysis, ISO, LLMs, maintainability, performance, Python, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/11269792/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/3faae1da4e0b47beb1e1ac9da1ee6b78

Cell Intelligence at the Time of Death: Self-Quenching or Self-Transmission?

Autoren: JALALI, SEYED RASOUL

Schlagwörter: ψ–Hamzah model, cellular death, self-quenching, self-transmission, conscious death, apoptosis, necrosis, cellular awareness, biological intuition, death decision model, ψ-field, nonlocal ψ-field, memory condensation, semantic field, lexicalization, ψ–Telos, nonlinear time, ψ-time, time folding, memory delay, phase transition, fractal dynamics, chaos suppression, nonlinear feedback, non-Markovian memory, cell state vector, metabolic energy decay, genetic memory, quantum biology, biophoton emission, cellular signaling, neurobiology, apoptosis pathways, mitochondrial collapse, decision threshold, nonlinear activation function, sigmoid decision, awareness preservation, informational transfer, semantic evolution, emergent meaning, phenomenology of death, Husserl philosophy, Merleau-Ponty embodiment, Michel Henry lived body, biological coherence field, near-death experiences, quantum decoherence, ψ–alive ψ–dead superposition, informational collapse, bifurcation analysis, Lyapunov exponents, dynamic stability, noise resilience, Gaussian noise stability, non-Gaussian fluctuations, memory-driven dynamics, recursive ψ-networks, nonlocal transfer nodes, semantic condensation, meaning generation at death, cognitive semantics, ψ-vector, teleological purpose, existential continuity, emergent telos, quantum entanglement in death, cellular communication, symbolic death lexicon, semantic oscillations, nonlinear decision dynamics, attractor boundaries, phase oscillation, ψ–collapse, critical threshold dynamics, ψ-core nodes, fractal field analysis, delay fields, oscillatory death phases, threshold oscillation, awareness field, biophysical awareness, cognitive field coupling, semantic phase transition, cellular nonlocal transfer, memory retrieval, survival of meaning, ψ-phase dynamics, ψ-nonlocal field, collapse dynamics, adaptive transfer algorithms, ψ-decision modeling, final awareness energy, Python simulation of death, fractal derivative equations, fractional calculus in biology, nonlinear systems biology, cellular consciousness, biocognitive fields, cellular self-organization, biophysics simulation, computational biology of death, meaning encoding, cognitive emergence, quantum information transfer, nonlocal awareness, emergence theory, semantic preservation, interdisciplinary biology, consciousness studies, systems neuroscience, metaphysical continuity, quantum field theory of death, information theory of death, death-phase semantics, ψ-folding of time, critical moment delay, biological memory encoding, cognitive death modeling, semantic survival, metaphysical emergence, cosmic ψ-network, lexical preservation, awareness at death, consciousness beyond biology, field-phase dynamics, awareness simulation, ultimate purpose transfer, semantic vectors, cognitive feedback, fractal awareness modeling, simulation algorithms, ψ–Hamzah Python code, interdisciplinary philosophy, metaphysical biology, cognitive decision models, symbolic interaction at death, ψ-field collapse, cellular teleology, existential philosophy of death, biophysics of mortality, fractal awareness, ψ-based modeling, awareness preservation algorithms, cellular self-transmission, advanced quantum biology, metaphysical modeling, nonlocal survival, semantic immortality, quantum cognitive dynamics, teleological preservation, nonlinear time model, cognitive entanglement, awareness transfer theory, ψ-awareness energy, phase structure of death, cognitive dynamics at death, fractal memory functions, nonlocal ψ-network transfer, semantic immortality model, emergence-based biology, memory survival after death, teleological field dynamics, ψ-field survival, cognitive phase transitions, field-based metaphysics, survival of meaning, death-as-transition, informational immortality, quantum-cognitive field theory, ψ–Hamzah computational model, universal continuity of awareness

AI-Driven Analysis of Drug Marketing Efficiency: Unveiling FDA Approval to Market Release Dynamics.

Autoren: Takefuji Y; Faculty of Data Science, Musashino University, 3-3-3 Ariake Koto-Ku, Tokyo, 135-8181, Japan. takefuji@keio.jp.

Quelle: The AAPS journal [AAPS J] 2025 Feb 20; Vol. 27 (2), pp. 48. Date of Electronic Publication: 2025 Feb 20.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: American Association of Pharmaceutical Scientists Country of Publication: United States NLM ID: 101223209 Publication Model: Electronic Cited Medium: Internet ISSN: 1550-7416 (Electronic) Linking ISSN: 15507416 NLM ISO Abbreviation: AAPS J Subsets: MEDLINE

MeSH-Schlagworte: Drug Industry*/methods , Drug Industry*/legislation & jurisprudence , Marketing*/methods , United States Food and Drug Administration* , Drug Approval* , Artificial Intelligence*, United States ; Humans ; Time Factors

Numerical analysis of recovery stage with disappearing polymer layer RR-P3HT for the detection of DMMP based on diffusion equations.

Autoren: Hejczyk, Tomasz Wrotniak, Jarosław Powroźnik, Paulina et al.

Quelle: International Journal of Electronics & Telecommunications; 2025, Vol. 71 Issue 4, p1-7, 7p

Schlagwörter: NUMERICAL analysis, SURFACE acoustic wave sensors, ELECTRIC conductivity, REACTION-diffusion equations, GAS detectors, POLYMERIC membranes, SURFACE interactions

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

Autoren: JALALI, SEYED RASOUL

Schlagwörter: 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

GPU-accelerated on-the-fly nonadiabatic semiclassical dynamics.

Autoren: Myers, Christopher A. Miyazaki, Ken Trepl, Thomas et al.

Quelle: Journal of Chemical Physics; 8/28/2024, Vol. 161 Issue 8, p1-11, 11p

Schlagwörter: ELECTRONIC structure, CONDENSED matter, EXCITED states, ACETONITRILE, PYTHON programming language