CORDIS Project
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The project focuses on developing a multi-scale computational methodology to understand and predict the self-assembly mechanisms of Metal-Organic Frameworks (MOFs). By combining advanced modeling techniques with machine learning, it aims to streamline the synthesis process for various applications, including carbon cap…
Metal-Organic Frameworks (MOFs) are porous materials with many societally relevant potential applications, such as carbon capture, removal of environmental toxins and drug-delivery.
Despite the progress in the field, synthesizing a MOF currently requires tens to hundreds costly and time-consuming trial-and-error synthesis experiments because our ability to correlate the synthesis conditions with the desired MOF structure is very limited.
To overcome this, we need to decode the mechanisms underly…
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France, Montpellier
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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