Curated insights and tools for curious minds.
1. ?? Highlight of the Week
- ? Resource: ResearchRabbit
- ?? Why it matters: Free AI tool, literature mapping, citations, keywords, organize research, optimize reviews.
2. ?? Key Articles & Insights
- ?? Materials informatics and sustainability—The case for urgency – The rapid development of transformative technologies to address global challenges like climate and energy security requires faster innovation in materials and chemicals. This article highlights the critical role of materials informatics—a data-driven approach leveraging AI and predictive models—in accelerating discovery, while addressing barriers like skill gaps and data sparsity, and offering strategies to promote its adoption in 21st-century science.
Source Link: Melia HR, Muckley ES, Saal JE. Materials informatics and sustainability—The case for urgency.?Data-Centric Engineering. 2021;2:e19. doi:10.1017/dce.2021.19
- ?? FAIR data enabling new horizons for materials research – A paradigm shift in scientific culture is as significant as advancements in hardware and software in adapting FAIR (findable, accessible, interoperable, reusable) principles to address the 4Vs (Volume, Variety, Velocity, and Veracity) of Big Data challenges in Material Science.
Source Link: Scheffler, M., Aeschlimann, M., Albrecht, M., Bereau, T., Bungartz, H.-J., Felser, C., Greiner, M., Gro?, A., Koch, C. T., Kremer, K., Nagel, W. E., Scheidgen, M., W?ll, C., & Draxl, C. (2022). FAIR data enabling new horizons for materials research.?Nature,?604(7907), 635–642. https://doi.org/10.1038/s41586-022-04501-x
3. ?? Tools & Resources
- ?? Machine Learning for Materials course by Prof Aron Walsh of Imperial College London: I discovered a publicly available website and GitHub repository linked to Imperial Materials’ LinkedIn page. It includes lecture slides and Python notebooks that focus on statistical research tools for materials theory and simulation. The metadata is well organized, making it easy for anyone to keep up with the course as new lectures are added. Source Link
- ??? ResearchRabbit: A free AI-powered tool that simplifies finding and organizing scholarly publications by mapping literature through citations and keywords. It helps researchers explore similar papers, references, and authors while optimising time spent on literature reviews and creating focused collections. Source Link
4. ?? Social Spotlight
- ?? Awesome Production Machine Learning: This GitHub repository features open-source libraries to deploy, monitor, scale, and secure production ML models
- ?? Classification in Machine Learning: An Introductions: A concise overview of classification algorithms with clear explanations and straightforward schematics for easy understanding as shared in Louise Saul's post.
5. ?? Question for the Community
- ? What’s a tool, article, or idea you’ve come across lately that sparked new insights?
6. ?? Upcoming Events/Opportunities
- ?? MWC25 Barcelona [3-6 March 2025]: Generative AI is reshaping industries, and at MWC25, the focus will be on practical deployment, data-driven transformation, ethical considerations, and enhancing human-computer interactions for personalized experiences.
- ?? Big Data and AI World London [3-6 March 2025]: Tech Show London brings together leaders and innovators across technology sectors to explore cutting-edge advancements, with complimentary access to events like Big Data & AI World, showcasing the future of AI, machine learning, and digital transformation strategies.
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