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  • Suche: Python functions und classes

Treffer 1 - 20 von 11.308

1

MolSym: A Python package for handling symmetry in molecular quantum chemistry.
Goodlett, Stephen M. ; Kitzmiller, Nathaniel L. ; Turney, Justin M. ; et al.
Journal of Chemical Physics; 7/14/2024, Vol. 161 Issue 2, p1-8, 8p

QUANTUM chemistry PYTHON programming langu... SYMMETRY FINITE differences HARMONIC functions SYMMETRY groups
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2

CityDPC: A Python library for handling 3D city model datasets.
Shamovich, Maxim ; Raming, Simon ; Malhotra, Avichal ; et al.
Bauphysik; Dec2024, Vol. 46 Issue 6, p340-347, 8p

URBAN renewal COMPUTER software develo... PYTHONS WALLS
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3

LaserCAD—A Novel Parametric, Python-Based Optical Design Software.
Anschütz, Clemens ; Hein, Joachim ; Zhuang, He ; et al.
Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p11893, 13p

OPTICAL engineering PYTHON programming langu... OPEN source software RAPID prototyping SIMULATION software RAY tracing …
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4

PyPlaque is an open-source python package for phenotypic analysis of virus plaque assays.
De, Trina ; Andriasyan, Vardan ; Yakimovich, Artur
Scientific Reports; 10/16/2025, Vol. 15 Issue 1, p1-18, 18p

OPEN source software PYTHON programming langu... PHENOTYPES PLAQUE assay technique CELL imaging EVALUATION methodology …
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5

ModelHamiltonian: A Python-scriptable library for generating 0-, 1-, and 2-electron integrals.
Chuiko, Valerii ; Richards, Addison D. S. ; Sánchez-Díaz, Gabriela ; et al.
Journal of Chemical Physics; 10/7/2024, Vol. 161 Issue 13, p1-12, 12p

GRAPHICAL user interface... ISING model LIBRARY design & constru... HEISENBERG model QUANTUM chemistry PYTHON programming langu...
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6

A Python library for computing individual and merged non-CO2 algorithmic climate change functions: CLIMaCCF V1.0.
Dietmüller, Simone ; Matthes, Sigrun ; Dahlmann, Katrin ; et al.
Geoscientific Model Development; 2023, Vol. 16 Issue 15, p4405-4425, 21p

PYTHON programming langu... CLIMATE change NUMERICAL weather foreca... AIRPLANE motors TECHNICAL specifications ATMOSPHERIC methane
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7

A tutorial on solving single‐leader‐multi‐follower problems using SOS1 reformulations.
Aussel, Didier ; Egea, Cécile ; Schmidt, Martin
International Transactions in Operational Research. May2025, Vol. 32 Issue 3, p1227-1250. 24p.

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8

The Fine Structure of Genome Statistics—The Frequency and Size.
Pawłowski, Piotr H. ; Zielenkiewicz, Piotr
Life (2075-1729); Nov2025, Vol. 15 Issue 11, p1648, 25p

GENOME size GENE frequency BIOLOGICAL evolution POISSON regression NON-coding DNA GENOMICS …
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9

GPAW: An open Python package for electronic structure calculations.
Mortensen, Jens Jørgen ; Larsen, Ask Hjorth ; Kuisma, Mikael ; et al.
Journal of Chemical Physics; 3/7/2024, Vol. 160 Issue 9, p1-41, 41p

ELECTRONIC packaging PYTHON programming langu... ATOMIC orbitals BETHE-Salpeter equation GRAPHICS processing unit...
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10

Practice and Research Optimization Environment in Python (PyPROE).
Jaus, Christopher ; Haynie, Kaelyn ; Mulligan, Michael ; et al.
Computers (2073-431X); Feb2025, Vol. 14 Issue 2, p54, 16p

LEARNING curve GRAPHICAL user interface... ENGINEERING design RESEARCH personnel USER experience
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11

Value of precision: a framework for quantifying the benefits from increased application rate precision in horticulture.
Kopton, Johannes ; Luedeling, Eike
Precision Agriculture; Dec2025, Vol. 26 Issue 6, p1-17, 17p

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12

Sensitivity Analysis Under the f-Sensitivity Model: A Distributional Robustness Perspective.
Jin, Ying ; Ren, Zhimei ; Zhou, Zhengyuan
Operations Research. Dec2025, p1. 19p.

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13

Introducing Machine Learning in Teaching Quantum Mechanics.
Pawelkiewicz, M. K. ; Gatti, Filippo ; Clouteau, Didier ; et al.
Atoms (2218-2004); Jul2025, Vol. 13 Issue 7, p66, 24p

SCHROEDINGER, Erwin, 188... MACHINE learning QUANTUM mechanics PYTHON programming langu... SCHRODINGER equation SCIENCE education …
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14

High-Speed Scientific Computing Using Adaptive Spline Interpolation.
Soper, Daniel S.
Big Data & Cognitive Computing; Dec2025, Vol. 9 Issue 12, p308, 17p

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15

Development and Evaluation of an Interactive Tool for Multi-Hazard Analysis in European Post-Mining Regions.
Haske, Benjamin ; Inojosa, Vinicius
Mining Report; aug2025, Vol. 161 Issue 4, p342-352, 11p

RISK assessment ABANDONED mines
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16

Automatic Detection of LLM-Generated Code: A Comparative Case Study of Contemporary Models Across Function and Class Granularities
Rahman, Musfiqur ; Khatoonabadi, SayedHassan ; Abdellatif, Ahmad ; et al.

Software Engineering Artificial Intelligence Machine Learning
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17

JuWavelet – continuous wavelet transform and S transform for wave analysis.
Ungermann, Jörn ; Reichert, Robert
Geoscientific Model Development; 2025, Vol. 18 Issue 22, p8613-8626, 14p

WAVELET transforms WAVE analysis GRAVITY waves PYTHON programming langu... EARTH sciences WAVELETS (Mathematics) …
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18

MiGIS: micromorphological soil and sediment thin section analysis using an open-source GIS and machine learning approach.
Zickel, Mirijam ; Gröbner, Marie ; Röpke, Astrid ; et al.
E&G Quaternary Science Journal; 2024, Vol. 73 Issue 1, p69-93, 25p

PYTHON programming langu...
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19

The "nature" and "nurture" of product lifetimes in dynamic stock modeling.
Krych, Kamila ; Müller, Daniel B. ; Pettersen, Johan B.
Journal of Industrial Ecology. Feb2025, Vol. 29 Issue 1, p6-18. 13p.

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20

DIFFERENT BUT THE SAME? AN EVENT-DRIVEN APPROACH TO DETERMINE PROBABILITIES OF DATA DUPLICATION.
Heinrich, Bernd ; Klier, Mathias ; Obermeier, Andreas ; et al.
MIS Quarterly. Dec2025, Vol. 49 Issue 4, p1539-1566. 28p. 2 Color Photographs, 1 Diagram, 8 Charts.

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