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HydroMOF focuses on developing a machine learning model to predict the stability of water in Metal Organic Frameworks (MOFs). This project aims to enhance the design of MOFs for applications in energy storage and vibration damping by enabling the screening of thousands of materials efficiently.
Metal Organic Frameworks (MOFs) represent a class of nanoporous materials that is propelling groundbreaking innovation in fields that include catalysis, gas capture and storage.
The success of MOFs hinges on the possibility to tailor, based on technological demand, the properties of their cavities, with a versatility that results from the combinatorial variety of their modular, molecularly-precise structures.
Recently hydrophobic MOFs are becoming increasingly popular in energy devices that expl…
UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
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Switzerland, Lausanne
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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