BenDJenkins

ACCES-CoExSiST

Learning simulation parameters from experimental data, from the micro to the macro, from laptops to clusters.

BenDJenkins

GitHub personal page repository

bendjenkins.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

digital_twin_study

DigitalTwins

Collection of peer-reviewed Digital Twins developed at the University of Birmingham in partnership with industrial collaborators.

granudrum_analysis

Python package for use with analysing data from the GranuDrum powder characterisation tool digital twin.

GranuFlowDigitalTwin

GranuFlowDigitalTwin-PostProcessing

machine-learning-study

A benchmark study of machine learning models on a granular material dataset for a future paper.

DigitalTwins

Collection of peer-reviewed Digital Twins developed at the University of Birmingham in partnership with industrial collaborators.

BenDJenkins/digital_twin_study

BenDJenkins/granudrum_analysis

Python package for use with analysing data from the GranuDrum powder characterisation tool digital twin.

BenDJenkins/GranuFlowDigitalTwin

BenDJenkins/GranuFlowDigitalTwin-PostProcessing

BenDJenkins/machine-learning-study

A benchmark study of machine learning models on a granular material dataset for a future paper.

BenDJenkins/ACCES-CoExSiST

Learning simulation parameters from experimental data, from the micro to the macro, from laptops to clusters.

BenDJenkins/BenDJenkins

GitHub personal page repository

BenDJenkins/bendjenkins.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

BenDJenkins/DigitalTwins

Collection of peer-reviewed Digital Twins developed at the University of Birmingham in partnership with industrial collaborators.

BenDJenkins/FlowphantomPID

BenDJenkins/InteractiveGranuDrumCalibration

Web-based interactive calibration of a DEM digital twin of a GranuTools GranuDrum, matching one of 2352 simulations to an experiment.

BenDJenkins/sensitivity_analysis