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tmmc-lnpy: A python package to analyze Transition Matrix Monte Carlo lnPi data.
Data provided by National Institute of Standards and Technology
A python package to analyze ``lnPi`` data from Transition Matrix Monte Carlo(TMMC) simulation. The main output from TMMC simulations, ``lnPi``, provides a means to calculate a host of thermodynamicproperties. Moreover, if ``lnPi`` is calculated at a specific chemical potential, it can be reweighted to providethermodynamic information at a different chemical potential. The python package``tmmc-lnpy`` provides a wide array of routines to analyze ``lnPi`` data.
Tags: python,molecular simulation,data analysis,Transition Matrix Monte Carlo,statistical mechanics,
Modified: 2024-02-22
Views: 0
CyRSoXS: A GPU-accelerated virtual instrument for Polarized Resonant Soft X-ray Scattering (P-RSoXS)
Data provided by National Institute of Standards and Technology
Polarized Resonant Soft X-ray scattering (P-RSoXS) has emerged as a powerful synchrotron-based tool to measure structure in complex, chemically heterogeneous systems. P-RSoXS combines principles of X-ray scattering and X-ray spectroscopy; this combination provides unique sensitivity to molecular orientation and chemical heterogeneity in soft materials such as polymers and biomaterials.
Tags: polymer,python,C++,CUDA,polymer nanocomposite,polymer solution,X-ray scattering,software,tool,computation,
Modified: 2024-02-22
Views: 0
analphipy: A python package to analyze pair-potential metrics.
Data provided by National Institute of Standards and Technology
`analphipy` is a python package to calculate metrics for classical models for pair potentials. It provides a simple and extendable api for pair potentials creation. Several routines to calculate metrics are included in the package. The main features of `analphipy` are 1) Pre-defined spherically symmetric potentials. 2) Simple interface to extended to user defined pair potentials. 3) Routines to calculate Noro-Frenkel effective parameters. 4) Routines to calculate Jensen-Shannon divergence.
Tags: python,statistical mechanics,
Modified: 2024-02-22
Views: 0
Imppy3d: Image processing in python for 3D image stacks
Data provided by National Institute of Standards and Technology
Image Processing in Python for 3D image stacks, or imppy3d, is a softwarerepository comprising mostly Python scripts that simplify post-processing and3D shape characterization of grayscale image stacks, otherwise known asvolume-based images, 3D images, or voxel models. imppy3d was originally createdfor post-processing image stacks generated from X-ray computed tomographymeasurements. However, imppy3d also contains a functions to aid inpost-processing general 2D/3D images.Python was chosen for this library because of it is a productive, easy-to-uselanguage.
Tags: python,image processing,3d,x-ray,tomography,image stack,
Modified: 2024-02-22
Views: 0
XSLT Blender
Data provided by National Institute of Standards and Technology
Demonstrations and utilities using XSLT in the web browser. XSLT 1.0 is supported with no dependencies on external libraries. Source code is in XML, XSLT, Javascript and Typescript.
Tags: xml,XSLT,client-side processing,document processing,declarative programming,
Modified: 2024-02-22
Views: 0
"pyproject2conda": A script to convert `pyproject.toml` dependencies to `environemnt.yaml` files.
Data provided by National Institute of Standards and Technology
The main goal of `pyproject2conda` is to provide a means to keep all basicdependency information, for both `pip` based and `conda` based environments, in`pyproject.toml`. I often use a mix of pip and conda when developing packages,and in my everyday workflow. Some packages just aren't available on both. The application provides a simple comment based syntax to add information to dependencies when creating `environment.yaml`. This package is actively used by the author, but is still very much a work inprogress.
Tags: python,devoloper tool,python packaging,
Modified: 2024-02-22
Views: 0
Foreign Trade Zones Manufacturing (T/IM) Database
Data provided by International Trade Administration
This database allows the public to browse and search recent FTZ Board manufacturing approvals.
Tags: foreign trade zone,FTZ,manufacturing,
Modified: 2024-02-22
Views: 0
Cooperative Patent Classification (CPC) Master Classification File (MCF) for U.S. Patent Applications (2001 - Present)
Data provided by United States Patent and Trademark Office
Contains Cooperative Patent Classification (CPC) classification information for all Utility patent applications published by the U.S. Patent and Trademark Office (USPTO) from 2001 to present. It is available as XML with schemas or text monthly (usually by the 15th of the month).
Tags: ascii,xml,uspto,patent application,cooperative,class,classification,subclass,subclassification,
Modified: 2024-02-22
Views: 0
Cooperative Patent Classification (CPC) Master Classification File (MCF) for U.S. Patent Grants (1790 - Present)
Data provided by United States Patent and Trademark Office
Contains Cooperative Patent Classification (CPC) classification information for all Utility patent grants issued by the U.S. Patent and Trademark Office (USPTO) from 1790 to present. It is available as XML with schemas or text monthly (usually by the 15th of the month).
Tags: ascii,xml,uspto,patent,cooperative,class,classification,subclass,subclassification,
Modified: 2024-02-22
Views: 0
Exoskeleton Performance Data
Data provided by National Institute of Standards and Technology
The National Institute of Standards and Technology, Intelligent Systems Division has collected data measuring human subjects, while performing common, simulated industrial manufacturing tasks with and without wearing an exoskeleton. Five tests were completed as part of a research study to develop measurement science towards standard test methods. For simulated industrial manufacturing tasks were performed using a novel, now standardized apparatus, called the Position and Load Test Apparatus for Exoskeletons (PoLoTAE).
Tags: Exoskeleton,Exosuits Research,Standard Test Methods,robotics,manufacturing,
Modified: 2024-02-22
Views: 0