Yeonghun Kang

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ChatMOF: an artificial intelligence system for predicting and generating metal-organic frameworks using large language models - Nature Communications

Jun 3, 2024 | nature.com | Yeonghun Kang |Jihan Kim

AbstractChatMOF is an artificial intelligence (AI) system that is built to predict and generate metal-organic frameworks (MOFs). By leveraging a large-scale language model (GPT-4, GPT-3.5-turbo, and GPT-3.5-turbo-16k), ChatMOF extracts key details from textual inputs and delivers appropriate responses, thus eliminating the necessity for rigid and formal structured queries.
Multimodal Transformer for Property Prediction in Polymers

Jan 22, 2024 | dx.doi.org | Seunghee Han |Yeonghun Kang |Hyunsoo Park |Jeesung Yi
Enhancing Structure-Property Relationships in Porous Materials through Transfer Learning and Cross-Material Few-Shot Learning

Jul 15, 2023 | dx.doi.org | Hyunsoo Park |Yeonghun Kang |Jihan Kim

Download Hi-Res ImageDownload to MS-PowerPointCite This:ACS Appl. Mater. Interfaces 2023, XXXX, XXX Terms & Conditions Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses).

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