SOURCE-LINKED INTELLIGENCE
Quantum Sensing with Metal-Organic Frameworks: DFT, Molecular Dynamics and Machine Learning Exploration
Quantum Sensing with Metal-Organic Frameworks: DFT, Molecular Dynamics and Machine Learning Exploration Metal-organic frameworks (MOFs) are composed of metal ions coordinated with organic ligands to form porous structures with high surface areas, making them suitable for a wide range of industrial applications. For instance, MOFs exhibit sensitivity to various molecules and gases due to their high surface area and tailored pores. As such, they can be employed in gas sensors for detecting volatile organic compounds, environmental pollutants, and toxic gases, enabling important applications in environmental monitoring and industrial safety. Despite the incredible success of MOFs as a sensing strategy and sequestration agent, only macroscopic quantities of segregated compounds can be effectively sensed. My project SEnsing with QUantum OrganometallIc frAmeworks (SEQUOIA) will pave the way to the exploitation of quantum sensing for the detection of traces of gases/p
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 215534.4
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.