Curated insights and tools for curious minds.
📅 Date: 24/01/2025
⏱️Read time: 5 minutes
📰 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., Groß, A., Koch, C. T., Kremer, K., Nagel, W. E., Scheidgen, M., Wöll, 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
💬 Awesome Production Machine Learning: This GitHub repository features open-source libraries to deploy, monitor, scale, and secure production ML models