Bridging eResearch Infrastructure and Experimental Materials Science Process in the Quantum Data Hub
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917679229566976 |
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| author | Gupta, Amarnath Purawat, Shweta Dasgupta, Subhasis Karmakar, Pratyush Chi, Elaine Altintas, Ilkay |
| author_facet | Gupta, Amarnath Purawat, Shweta Dasgupta, Subhasis Karmakar, Pratyush Chi, Elaine Altintas, Ilkay |
| contents | Experimental materials science is experiencing significant growth due to automated experimentation and AI techniques. Integrated autonomous platforms are emerging, combining generative models, robotics, simulations, and automated systems for material synthesis. However, two major challenges remain: democratizing access to these technologies and creating accessible infrastructure for under-resourced scientists. This paper introduces the Quantum Data Hub (QDH), a community-accessible research infrastructure aimed at researchers working with quantum materials. QDH integrates with the National Data Platform, adhering to FAIR principles while proposing additional UNIT principles for usability, navigability, interpretability, and timeliness. The QDH facilitates collaboration and extensibility, allowing seamless integration of new researchers, instruments, and data into the system. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_19706 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Bridging eResearch Infrastructure and Experimental Materials Science Process in the Quantum Data Hub Gupta, Amarnath Purawat, Shweta Dasgupta, Subhasis Karmakar, Pratyush Chi, Elaine Altintas, Ilkay Software Engineering Computational Engineering, Finance, and Science Emerging Technologies Experimental materials science is experiencing significant growth due to automated experimentation and AI techniques. Integrated autonomous platforms are emerging, combining generative models, robotics, simulations, and automated systems for material synthesis. However, two major challenges remain: democratizing access to these technologies and creating accessible infrastructure for under-resourced scientists. This paper introduces the Quantum Data Hub (QDH), a community-accessible research infrastructure aimed at researchers working with quantum materials. QDH integrates with the National Data Platform, adhering to FAIR principles while proposing additional UNIT principles for usability, navigability, interpretability, and timeliness. The QDH facilitates collaboration and extensibility, allowing seamless integration of new researchers, instruments, and data into the system. |
| title | Bridging eResearch Infrastructure and Experimental Materials Science Process in the Quantum Data Hub |
| topic | Software Engineering Computational Engineering, Finance, and Science Emerging Technologies |
| url | https://arxiv.org/abs/2405.19706 |