experimental-data

Experimental and calculated small molecule hydration free energies

datalab is a place to store experimental data and the connections between them.

Optimal numerical differentiation of noisy time series data in python.

A workflow to create computation-ready metal-organic framework database.

Experimental small molecule hydration free energy dataset

ADAPT is designed for the inverse parameter identification of constitutive material models using mathmatical optimisation. It is designed to work with finite element simulations but its modular implementation offers an interface to basically any simulation framework. The tool is able to use global data such as forces as well as local data such a…

Rapid Data Import Environmnent

Reinforcement Learning Course Project - IIT Bombay Fall 2018

Python library and command line tool performing the Transient Scanning Technique by Brouwer et al.

datalab block plugin for in situ measurements (NMR, UV-Vis, XRD)

python-based code to convert experimental DRIFTS data to 3D contour plot

OOP implementations of fusion policies, and simulations analysis compared to experimental data

A datamodel for describing entities and their semantic associations (e.g., mappings to vocabularies/ontologies) for scientific catalytic data at HZB, including synthesis, characterization, and operando and in situ characterization of catalytic materials.

🔬 Scientific curve fitting tool with GUI for experimental data analysis, perfect for physics students. 20+ predefined functions, error propagation, data analysis, and professional visualizations. Multilingual (ES/EN).

Ferramenta acadêmica para análise, pré-dimensionamento e avaliação de viabilidade técnica de sistemas RFID UHF.

Versioned measurement and evidence contracts for interoperable experimental science.

Recipe-driven reproducible analysis for experimental time-series and parameter-sweep data

Making transport analysis accessible for experimental scientists.

Source code for paper titled "From spreadsheet lab data templates to knowledge graphs: A FAIR data journey in the domain of AMR research"

HyperSmart is a Python-based scientific tool for automated hyperelastic model selection, parameter calibration, and centralized experimental data management. It features a Tkinter GUI, YAML data storage, and numerical methods (Enumeration & Bayesian Updating) for material modeling.