Driving Solutions for a Sustainable Future
At the core of our company lies a commitment to delivering cutting-edge solutions that address global challenges. Through our expertise in advanced materials and groundbreaking technologies, we provide services that redefine industries and improve the quality of life for all.
from pollutants capture and gas storage technologies, to advanced machine learning and high-throughput simulations, we combine theory and experiments to speed up the way MOF materials are designed and discovered for environmental and energy storage application.
Tailored Services to Meet Global Needs
Carbon Capture
To meet the International Maritime Organisation and the UK government to meet their targets of 50% reduction in carbon emissions by 2050, technologies like MOFs must be developed to cut emissions from hydrocarbon-burning vessels, which will remain in service beyond 2050. Retrofitting is essential, as scrapping fleets for low-carbon alternatives is commercially unviable.
Monoclinic aims to reduce shipping emissions from conventional fuels and support future transitions to green methanol and ammonia. Additionally, we target carbon capture in high-emission industries like cement and steel manufacturing.
Hydrogen/Ammonia storage
Traditional hydrogen storage solutions, such as compressed or liquid hydrogen present challenges. MOFs enable high-density hydrogen or ammonia storage at much lower pressures and ambient temperatures. MOFs have incredibly high surface areas due to their porous nature. Gas molecules interact with the framework’s surface (metal ions and organic linkers) through weak intermolecular forces like van der Waals forces, electrostatic interactions, and hydrogen bonding. These interactions cause the gas molecules to be stored in the pores within the MOF.
Toxic Chemicals Removal
Metal-organic frameworks (MOFs) show significant promise for removing toxic gases from various environments due to their tunable pore size and functionality, and potential for high selectivity towards a specific toxic chemical. Our molecular simulation and machine learning tools can speed up the discovery of promising MOF candidates by predicting how much gas can be adsorbed in 1000s of materials using high-performance computers. We can study MOFs for toxic gases including CO, SO2, N2O, H2S, NH3, and volatile organic compounds (VOCs).
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