From the initial model to the promise: Mardiflow draws the future of sports computing

Links table

Abstract and 1. Introduction

Current solutions

2. Mardiflow

The minimum work examples of work

Spinny decomposes in AB dual alloy

Summary and expectations, declarations, data availability, and references

Summary and expectations

Data performance and intensive programs have been kept through the course of calculations. After that, rapid growth in their absorption and application to computer -based experiments represents a decisive opportunity to enhance the development of repetitive scientific programs. As part of the Mardi Union [MaR21] In the management of research data in mathematical sciences, in this work, we presented a new accounting framework, which is Mardiflow, the initial model that focuses on automating automation to extract the definition data integrated into mathematical objects with the implementation of basic dependency and the environment in multiple recipes. In addition, the different ingredients are characterized by the relationship of inputs and outputs so that they can be used by exchanging and in most cases frequently.

The design specifications were presented in addition to the initial model of the RDM tool through various cases of use. In the current version, Mardiflow works as a command tool to enable users to handle the workflow components as abstract objects described by the introduction of output behavior. In essence, MardFlow guarantees that the resulting output is detailed, and a comprehensive description that facilitates the cloning of mathematical experiences. Initially, we explained the carbon dioxide conversion rates using the methane reactor model, and then, we showed the dual-dimensional dirt for the AB virtual alloys using the Cahn-Hilliard model. Our RDM tool is committed to fair principles, so that the ingredients of the workflow can be found, accessible, interactive and reusable. In general, the continuous development of Mardiflow aims to cover heterogeneous cases and work as a scientific tool in mathematical sciences.

Aside from this, we are also working on developing an electronic laboratory notebook (ELN) to imagine the Mardiflow tool. ELN will have an easy -to -use interface to interact with the tool efficiently and smoothly. Finally, although the current manuscript provides our RDM tool as evidence of the concept, we are planning to publish a detailed manuscript with technical details and cases of use in the near future.

Thanks and appreciation

Authors are supported by NFDI4Cat and Mardi, funded by Deutsche Forschungsgemeinschaft (DFG), Project 441926934 “NFDI4Cat – NFDI F¨ur Wissenschaftten Mit Bezug Zur Katalyse” and project 46013550 “MARDI -Marti -Mardi -Mardi -Marti. Forschungsdaterinitiative”.

Data availability

The results presented in this work are regardless of the continuous investigation, however the initial model is available with the second use and documentation in https://doi.org/10.5281/zenodo.10608764

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