Hans Fangohr

Orcid: 0000-0001-5494-7193

According to our database1, Hans Fangohr authored at least 17 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Machine learning-based spin structure detection.
CoRR, 2023

2021
Jupyter in Computational Science.
Comput. Sci. Eng., 2021

Using Jupyter for Reproducible Scientific Workflows.
Comput. Sci. Eng., 2021

2020
Testing with Jupyter notebooks: NoteBook VALidation (nbval) plug-in for pytest.
CoRR, 2020

Automatic Feedback Provision in Teaching Computational Science.
Proceedings of the Computational Science - ICCS 2020, 2020

2017
Good Usability Practices in Scientific Software Development.
CoRR, 2017

2016
Virtual Micromagnetics: A Framework for Accessible and Reproducible Micromagnetic Simulation.
CoRR, 2016

Nmag micromagnetic simulation tool: software engineering lessons learned.
Proceedings of the International Workshop on Software Engineering for Science, 2016

2015
Teaching Python programming with automatic assessment and feedback provision.
CoRR, 2015

2014
Better Design Decisions Through Operational Modeling During the Early Design Phases.
J. Aerosp. Inf. Syst., 2014

2012
Complex agent interactions in operational simulations for aerospace design.
Proceedings of the Winter Simulation Conference, 2012

2009
Continuum multi-physics modeling with scripting languages: the Nsim simulation compiler prototype for classical field theory
CoRR, 2009

2008
Managing Large Volumes of Distributed Scientific Data.
Proceedings of the Computational Science, 2008

2006
BioSimGrid: Grid-enabled biomolecular simulation data storage and analysis.
Future Gener. Comput. Syst., 2006

Exploiting Real-Time 3d Visualisation to Enthuse Students: A Case Study of Using Visual Python in Engineering.
Proceedings of the Computational Science, 2006

2004
A Web / Grid Portal Implementation of BioSimGrid: A Biomolecular Simulation Database.
J. Digit. Inf. Manag., 2004

A Comparison of C, MATLAB, and Python as Teaching Languages in Engineering.
Proceedings of the Computational Science, 2004


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