MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models

The discovery of Metal-Organic Frameworks (MOFs) with application-specific properties remains a central challenge in materials chemistry, owing to the immense size and complexity of their structural design space. Conventional computational screening techniques such as molecular simulations and densi...

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Bibliographic Details

Published in:	Journal of chemical information and modeling Vol. 65; no. 17; p. 9049
Main Authors:	Badrinarayanan, Srivathsan, Magar, Rishikesh, Antony, Akshay, Meda, Radheesh Sharma, Barati Farimani, Amir
Format:	Journal Article
Language:	English
Published:	United States 08.09.2025
Subjects:	Machine Learning Metal-Organic Frameworks - chemistry Models, Molecular
ISSN:	1549-960X, 1549-960X
Online Access:	Get more information
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