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Showing 81 - 100 results of 427 for search '(((( algorithm wave function ) OR ( algorithm api function ))) OR ( algorithm python function ))*', query time: 0.56s Refine Results
  1. 81
    Quantum Simulation of Molecular Dynamics ProcessesA Benchmark Study Using a Classical Simulator and Present-Day Quantum Hardware

    Quantum Simulation of Molecular Dynamics ProcessesA Benchmark Study Using a Classical Simulator and Present-Day Quantum Hardware by Tamila Kuanysheva (21546962)

    Published 2025
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  2. 82
    Modular architecture design of PyNoetic showing all its constituent functions.

    Modular architecture design of PyNoetic showing all its constituent functions. by Gursimran Singh (575288)

    Published 2025
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  3. 83
    Adaptive H-REMD simulation algorithm.

    Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

    Published 2021
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  4. 84
    The workflow used to analyze imbalanced and balanced sequences.

    The workflow used to analyze imbalanced and balanced sequences. by Solomon Shiferaw Beyene (9143178)

    Published 2020
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  5. 85
    Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN).

    Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN). by Solomon Shiferaw Beyene (9143178)

    Published 2020
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  6. 86
    Accuracy, sensitivity, specificity and F-score.

    Accuracy, sensitivity, specificity and F-score. by Solomon Shiferaw Beyene (9143178)

    Published 2020
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  7. 87
    The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers.

    The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. by Solomon Shiferaw Beyene (9143178)

    Published 2020
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  8. 88
    Excited-State DMRG Made Simple with FEAST

    Excited-State DMRG Made Simple with FEAST by Alberto Baiardi (1914601)

    Published 2021
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  9. 89
    Excited-State DMRG Made Simple with FEAST

    Excited-State DMRG Made Simple with FEAST by Alberto Baiardi (1914601)

    Published 2021
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  10. 90
    <i>Ab Initio</i> Computation of Rotationally-Averaged Pump–Probe X‑ray and Electron Diffraction Signals

    <i>Ab Initio</i> Computation of Rotationally-Averaged Pump–Probe X‑ray and Electron Diffraction Signals by Robert M. Parrish (1703710)

    Published 2019
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  11. 91
    Supplementary Material for: Pulse Wave Analysis and Pulse Wave Velocity for Fistula Assessment

    Supplementary Material for: Pulse Wave Analysis and Pulse Wave Velocity for Fistula Assessment by Mueller N. (9014510)

    Published 2020
    “…<b><i>Background/Aims:</i></b> Pulse wave analysis (PWA) and pulse wave velocity (PWV) provide information about arterial stiffness and elasticity, which is mainly used for cardiovascular risk stratification. …”
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  12. 92
    Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks.

    Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. by Gursimran Singh (575288)

    Published 2025
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  13. 93
    Data fitting and inference of the time-dependent parameters by TDINN algorithm for the local outbreaks in Hainan and Xinjiang.

    Data fitting and inference of the time-dependent parameters by TDINN algorithm for the local outbreaks in Hainan and Xinjiang. by Mengqi He (5753525)

    Published 2023
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  14. 94
    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction methods.

    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

    Published 2025
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  15. 95
    Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart.

    Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

    Published 2025
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  16. 96
    Cost functions implemented in Neuroptimus.

    Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

    Published 2024
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  17. 97
    Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization

    Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization by Sahithya S. Iyer (8604096)

    Published 2020
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  18. 98
    Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization

    Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization by Sahithya S. Iyer (8604096)

    Published 2020
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  19. 99
    Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization

    Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization by Sahithya S. Iyer (8604096)

    Published 2020
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  20. 100
    Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization

    Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization by Sahithya S. Iyer (8604096)

    Published 2020
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