Vehicle parameters. by Honglei Pang (22693724)

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HIL test results of curved road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. by Honglei Pang (22693724)

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Comparison of average reward values in various simulation scenarios. by Honglei Pang (22693724)

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HIL test results of split-μ road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. by Honglei Pang (22693724)

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Matlab code of a function used in S2 File. by Hiroko Kato Solvang (5718250)

Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments by Pulong Ma (6105767)

“…Within each distinct spectral band, the emulator represents radiance output at irregular wavelengths as a linear combination of basis functions and random coefficients. These random coefficients are then modeled with nearest-neighbor Gaussian processes with built-in input dimension reduction via active subspace. …”

New-Generation Electron-Propagator Methods for Calculations of Electron Affinities and Ionization Energies: Tests on Organic Photovoltaic Molecules by Ernest Opoku (86078)

Subjects: “…quintically scaling algorithms…”

New-Generation Electron-Propagator Methods for Calculations of Electron Affinities and Ionization Energies: Tests on Organic Photovoltaic Molecules by Ernest Opoku (86078)

Subjects: “…quintically scaling algorithms…”

New-Generation Electron-Propagator Methods for Calculations of Electron Affinities and Ionization Energies: Tests on Organic Photovoltaic Molecules by Ernest Opoku (86078)

Subjects: “…quintically scaling algorithms…”

New-Generation Electron-Propagator Methods for Calculations of Electron Affinities and Ionization Energies: Tests on Organic Photovoltaic Molecules by Ernest Opoku (86078)

Subjects: “…quintically scaling algorithms…”

Systematically Improvable Tensor Hypercontraction: Interpolative Separable Density-Fitting for Molecules Applied to Exact Exchange, Second- and Third-Order Møller–Plesset Perturbat... by Joonho Lee (1351974)

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Acc epoch loss curve of IPCA algorithm. by Lu Lin (201289)

Machine Learning-Aided Structure Determination for TiCl₄–Capped MgCl₂ Nanoplate of Heterogeneous Ziegler–Natta Catalyst by Gentoku Takasao (6382694)

“…Here, we report nonempirical structure determination of TiCl₄-capped MgCl₂ nanoplates that is based on the combination of a genetic algorithm and density functional calculations. …”

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

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BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”

Python code for a rule-based NLP model for mapping circular economy indicators to SDGs by Zahir Barahmand (18008947)

“…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…”

Studies on <i>Agrobacterium</i>-mediated gene transformation of chrysanthemums using <i>GUS</i> gene. by Mohsen Hesami (6917390)

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The results of sensitivity analysis on the developed ensemble model to rank the importance of factors involved in <i>Agrobacterium</i>-mediated gene transformation of chrysanthemum... by Mohsen Hesami (6917390)

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Performance criteria of individual and ensemble models for gene transformation efficiency of chrysanthemum in training, testing, and validation processes. by Mohsen Hesami (6917390)

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The results of optimization process via FOA for gene transformation efficiency of chrysanthemum. by Mohsen Hesami (6917390)

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