Detailed Notes on zeeshan@ayan338
On top of that, he has expererince of planning and applying HIPAA-compliant infrastructures to help numerous scientific scientific tests with successful patient’s recruitment, collected sample’s knowledge administration, and integration with Digital Health care data (e.g., EPIC, NextGen). His lab at Rutgers (IFH & RWJMS) is pushed towards the development of clever well being techniques that systematically incorporate genomic and metabolomic details into clinical care for mainstream precision medicine.
Machine learning enabled discovery of application dependent style ideas for 2-dimensional resources
Design principles for dendrite suppression with porous polymer/aqueous Answer hybrid electrolyte for Zn metallic anodes
knowledge the effect of guide iodide excessive over the performance of methylammonium guide iodide perovskite photo voltaic cells
Quantification of uncertainty in initial-ideas predicted mechanical Qualities of solids: software to solid ion conductors
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Increased strength and temperature dependence of mechanical Houses of Li at small scales and its implications for Li metallic anodes
Machine Understanding enabled computational screening of inorganic strong electrolytes for suppression of dendrite development in lithium steel anodes
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Localized recrystallization of a lithium-metallic anode all through rapidly stripping in high-exercise liquid electrolytes
Universal chemomechanical structure rules for reliable-ion conductors to check here forestall dendrite development in lithium metallic batteries
Biography Dr. Ahmad's research is centered on the look of useful resources and interfaces for Strength storage and conversion. The investigation aims to progress renewable Vitality and electrify transportation as a result of 1st rules being familiar with and structure of components for batteries and solar photovoltaics.
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