Large language models in electronic laboratory notebooks: Transforming materials science research workflows Article Swipe
Mehrdad Jalali
,
Yi Luo
,
Lachlan Caulfield
,
Eric Sauter
,
Alexei Nefedov
,
Christof Wöll
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.mtcomm.2024.109801
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.mtcomm.2024.109801
In recent years, there has been a surge in research efforts dedicated to harnessing the capabilities of Large Language Models (LLMs) in various domains, particularly in material science. This paper delves into the transformative role of LLMs within Electronic Laboratory Notebooks (ELNs) for scientific research. ELNs represent a pivotal technological advancement, providing a digital platform for researchers to record and manage their experiments, data, and findings. This study explores the potential of LLMs to revolutionize fundamental aspects of science, including experimental methodologies, data analysis, and knowledge extraction within the ELN framework. We present a demonstrative showcase of LLM applications in ELN environments and, furthermore, we conduct a series of empirical evaluations to critically assess the practical impact of LLMs in enhancing research processes within the dynamic field of materials science. Our findings illustrate how LLMs can significantly elevate the quality and efficiency of research outcomes in ELNs, thereby advancing knowledge and innovation in materials science research and beyond.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.mtcomm.2024.109801
- OA Status
- hybrid
- Cited By
- 7
- References
- 49
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4400446804Canonical identifier for this work in OpenAlex
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https://doi.org/10.1016/j.mtcomm.2024.109801Digital Object Identifier
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Large language models in electronic laboratory notebooks: Transforming materials science research workflowsWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-07-09Full publication date if available
- Authors
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Mehrdad Jalali, Yi Luo, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Christof WöllList of authors in order
- Landing page
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https://doi.org/10.1016/j.mtcomm.2024.109801Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.mtcomm.2024.109801Direct OA link when available
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Workflow, Transformative learning, Data science, Field (mathematics), Computer science, Quality (philosophy), Engineering ethics, Nanotechnology, Engineering, Materials science, Database, Sociology, Pedagogy, Philosophy, Epistemology, Pure mathematics, MathematicsTop concepts (fields/topics) attached by OpenAlex
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7Total citation count in OpenAlex
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2025: 6, 2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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