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engineers, and researchers in materials science and nanotechnology. We are developing the superconducting quantum devices, control circuits, firmware, and methods required to make the quantum computer a
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learning methods for protein design Design of enzymes using computational models Identification and optimization of plastic-degrading enzymes Experimental expression, purification, and characterization
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of these cold clouds, and their precipitation, can be controlled by the loadings of solid aerosol particles that initiate ice particles. There is controversy about the identity of the chemical species of aerosol
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: Development and application of AI and machine learning methods for protein design Design of enzymes using computational models Identification and optimization of plastic-degrading enzymes Experimental
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carbon support material from hardwood biomass through a controlled pyrolysis process. The biochar obtained from the pyrolysis process will be subjected to chemical activation with KOH/H2O2 and H3PO4
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of electrodes and catalysts for low temperature fuel cells, electrochemical hydrogen generation, batteries, as well as heavy metal removal from aqueous solutions. By designing well controlled model systems in
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generation, batteries, as well as heavy metal removal from aqueous solutions. By designing well controlled model systems in combination with powerful analysis and characterization techniques, improved
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, physics-informed control, and digital twin technologies. Project description The project focuses on the development of robotic methods for plant health monitoring that combine robot–plant interaction with
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methods have limited ability to identify patients at intermediate risk, despite this group accounting for a substantial proportion of disease burden. The project focuses on early identification
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writing of manuscripts and publication. Identification of knowledge gaps through independent work and literature review, and presentation of strategies to address these gaps. Independent development