Also, he has expererince of building and implementing HIPAA-compliant infrastructures to guidance numerous scientific research with effective affected person’s recruitment, collected sample’s facts management, and integration with Digital Health care documents (e.g., EPIC, NextGen). His lab at Rutgers (IFH & RWJMS) is driven to the development of clever overall health techniques that systematically integrate genomic and metabolomic details into scientific look after mainstream precision medicine.
Machine learning enabled discovery of application dependent style ideas for 2-dimensional components
structure ideas for dendrite suppression with porous polymer/aqueous Remedy hybrid electrolyte for Zn metal anodes
comprehension the impact of lead iodide excess within the overall performance of methylammonium guide iodide perovskite solar cells
Quantification of uncertainty in to start with-concepts predicted mechanical Qualities of solids: software to strong ion conductors
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Increased strength and temperature dependence of mechanical Attributes of Li at modest scales and its implications for Li steel anodes
equipment Discovering enabled computational screening of inorganic strong electrolytes for suppression of dendrite formation in lithium steel anodes
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Localized recrystallization of a lithium-metallic anode for the duration of quickly stripping in significant-exercise liquid electrolytes
common chemomechanical style and design policies for stable-ion conductors to avoid dendrite development in lithium metallic batteries
Biography Dr. Ahmad's research is centered on the look of practical products and interfaces for energy storage and conversion. The investigate aims to advance renewable Electrical power and electrify transportation by way of 1st principles understanding and design and style of products for batteries and solar photovoltaics.
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