Draft:Mat3ra
Submission declined on 2 December 2025 by Drmies (talk).
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| Submission declined on 2 December 2025 by Pythoncoder (talk). Your draft shows signs of having been generated by a large language model, such as ChatGPT. Wikipedia guidelines prohibit the use of LLMs to write articles from scratch. In addition, LLM-generated articles usually have multiple quality issues, to include: Declined by Pythoncoder 2 months ago.
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| Submission declined on 1 December 2025 by Pythoncoder (talk). Your draft shows signs of having been generated by a large language model, such as ChatGPT. Wikipedia guidelines prohibit the use of LLMs to write articles from scratch. In addition, LLM-generated articles usually have multiple quality issues, to include: Declined by Pythoncoder 2 months ago.
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Comment: The sourcing is very thin, and things like "was mentioned in" do not help. Drmies (talk) 02:32, 2 December 2025 (UTC)
| Mat3ra | |
| Company type | Private |
| Industry | Computational materials science |
| Founded | 2014 |
| Headquarters | San Francisco Bay Area, California, United States |
| Website | https://mat3ra.com |
Exabyte Inc. is a US-based company developing software for materials modeling. The company originally used Exabyte.io brand name before switching to Mat3ra in 2022.
In 2022, The Wall Street Journal reported that Exabyte Inc. raised US $3 million in seed funding for Mat3ra..[1]
Exabyte.io was mentioned in a 2020 review article in Advanced Science among data-driven materials science solutions.[2]
In 2017, The Register reported on cloud–HPC benchmarking work[3] by Exabyte.io comparing Azure, AWS, and other cloud vendors for LINPACK workloads.[4] HPCwire also covered this research.[5]
Exabyte Inc. received US $3.8 million in funding across seven awards under the U.S. government’s SBIR program, including from the Department of Defense, Department of Energy, and the Department of Commerce/NIST.[6]
Multiple market research reports covering materials informatics mentioned Mat3ra and Exabyte.io.[7][8][9]
References
[edit]- ^ "Startup That Models Materials at Atomic Scale Raises Seed Capital". The Wall Street Journal. 4 February 2022.
- ^ Himanen, Lauri; Geurts, Amber; Foster, Adam Stuart; Rinke, Patrick (2020). "Data-Driven Materials Science: Status, Challenges, and Perspectives". Advanced Science. 7 (2): 1903667. doi:10.1002/advs.201903667. ISSN 2198-3844. PMC 6974932. PMID 31993299.
{{cite journal}}: CS1 maint: article number as page number (link) - ^ Mohammadi, Mohammad; Bazhirov, Timur (2018-03-15). "Comparative benchmarking of cloud computing vendors with high performance linpack". Proceedings of the 2nd International Conference on High Performance Compilation, Computing and Communications. HP3C. New York, NY, USA: Association for Computing Machinery: 1–5. doi:10.1145/3195612.3195613. ISBN 978-1-4503-6337-2.
- ^ "Clouds can compete with HPC, say boffins". The Register. 14 February 2017.
- ^ "HPC Clouds Ready? Azure Edges AWS in Linpack Benchmark Study". HPCwire. 15 February 2017.
- ^ "SBIR Portfolio for Awardee 694779". SBIR.gov.
- ^ "Materials Informatics Market Size to Hit USD ..." Precedence Research. 12 November 2025.
- ^ ltd, Research and Markets. "Material Informatics Market Size, Share & Forecast to 2030". www.researchandmarkets.com. Retrieved 2025-12-02.
- ^ "Material Informatics Market Size Report, 2022-2027". www.industryarc.com. Retrieved 2025-12-02.
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