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Exploring materials data through collaboration: 2024 KRICT ChemDX Hackathon
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DOI：10.20517/jmi.2025.65.png)
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Abstract
En 中文
Data-driven research is in the spotlight across many science and engineering fields, including materials science, with the expectation that effective utilization of data, supported by modern artificial intelligence techniques, can lead to breakthroughs in addressing key scientific questions. Korea Research Institute of Chemical Technology (KRICT) Chemical Data Explorer platform (ChemDX), our web-based and integrated platform, including various data explorer and artificial intelligence modules, aims to enhance accessibility of chemical data for digital materials discovery. In this article, we highlight the results of the 2024 KRICT ChemDX Hackathon, an event to support data-driven research in chemistry and materials science. Hackathon participants explored ChemDX platform and developed projects ranging from machine learning models and data visualization tools to user interface improvements. These projects demonstrated the versatility and potential of data-driven research with the aid of ChemDX platform, in bridging data-driven experimental and computational research. The feedback and outcomes from this hackathon demonstrate the impressive potential of interdisciplinary data-driven research, guide further improvements to the platform, and enhance its usability and outreach.
Keywords:
Machine learning
database
hackathon
materials discovery
Journal
IF:
5.6
Papers:
36
Citations:
349
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