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101
Supplemental material for "Method of Manufactured Solutions Code Verification of Elastostatic Solid Mechanics Problems in a Commercial Finite Element Solver"
Published 2022“…<p dir="ltr">Analysis notebook (Jupyter/Python) and ABAQUS input files for:</p><p dir="ltr">Aycock, K. …”
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Complex Eigenvalues, Orthogonality, and QR Factorization: Analytical Proofs and Numerical Verification
Published 2025“…These results are then validated through computational experiments using Python with the NumPy and SciPy libraries.</p><p dir="ltr">Key computational techniques include:</p><ol><li>Eigenvalue and Eigenvector Computation: Generation of random Hermitian matrices and computation of their eigenvalues and eigenvectors. …”
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A high-performance and highly reusable fast multipole method library and its application to solvation energy calculations at virus-scale
Published 2022“…It empowers researchers to compute solvation energy at the scale of viruses interactively via easy-to-use Python interfaces. The 1/N convergence rate observed in mesh-refinement studies confirms code correctness, and result comparison with other trusted PB software shows agreement using a wide range of proteins.Performance results report timings and breakdowns with between 8,000 and 2 million boundary elements and confirm the linear complexity in both time and space. …”
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OpenColab project: OpenSim in Google colaboratory to explore biomechanics on the web
Published 2022“…It is available for many users with bindings in MATLAB, Python, and Java <i>via</i> its application programming interfaces (APIs). …”
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Overview of generalized weighted averages.
Published 2025“…GWA-UCB1 outperformed G-UCB1, UCB1-Tuned, and Thompson sampling in most problem settings and can be useful in many situations. …”
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DataSheet_2_FindTargetsWEB: A User-Friendly Tool for Identification of Potential Therapeutic Targets in Metabolic Networks of Bacteria.zip
Published 2019“…The web application was developed in Python using COBRApy and Django.</p><p>Results: The proposed method was demonstrated to be robust enough to process even non-curated, incomplete, or imprecise metabolic networks, in addition to integrated host-pathogen models. …”
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109
Table_1_FindTargetsWEB: A User-Friendly Tool for Identification of Potential Therapeutic Targets in Metabolic Networks of Bacteria.xlsx
Published 2019“…The web application was developed in Python using COBRApy and Django.</p><p>Results: The proposed method was demonstrated to be robust enough to process even non-curated, incomplete, or imprecise metabolic networks, in addition to integrated host-pathogen models. …”
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110
DataSheet_1_FindTargetsWEB: A User-Friendly Tool for Identification of Potential Therapeutic Targets in Metabolic Networks of Bacteria.xlsx
Published 2019“…The web application was developed in Python using COBRApy and Django.</p><p>Results: The proposed method was demonstrated to be robust enough to process even non-curated, incomplete, or imprecise metabolic networks, in addition to integrated host-pathogen models. …”
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Comparison of visualization techniques.
Published 2024“…The applicability of the method is presented in an industrial alarm management problem and in the analysis of clickstreams of a website. …”
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Statistics of the source data.
Published 2024“…The applicability of the method is presented in an industrial alarm management problem and in the analysis of clickstreams of a website. …”
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Land use allocation optimization using Genetic Programming
Published 2023“…<p>The figures contain Pareto fronts for multi-objective land use allocation optimizations. </p> <p>The results are reproducible with the following Python repository on Mendeley Data: https://data.mendeley.com/datasets/4tw223jvjv/draft?…”
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118
PyPEFAn Integrated Framework for Data-Driven Protein Engineering
Published 2021“…Here, we present a general-purpose framework (PyPEF: pythonic protein engineering framework) for performing data-driven protein engineering using machine learning methods combined with techniques from signal processing and statistical physics. …”
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