A5059519836- Machine Learning in Materials Science
- Microbial bioremediation and biosurfactants
- Metal-Catalyzed Oxygenation Mechanisms
- Innovative Microfluidic and Catalytic Techniques Innovation
- Quantum Dots Synthesis And Properties
- Catalytic Processes in Materials Science
- Enzyme Structure and Function
- Electrochemical Analysis and Applications
- Catalysts for Methane Reforming
- Mass Spectrometry Techniques and Applications
- Perovskite Materials and Applications
- Ionic liquids properties and applications
University of Southern California
2024
Barnard College
2021-2023
Abstract Alkanes are the most energy-rich form of carbon and widely dispersed in environment. Their transformation by microbes represents a key step global cycle. Alkane monooxygenase (AlkB), membrane-spanning metalloenzyme, converts straight chain alkanes to alcohols first microbially-mediated degradation alkanes, thereby playing critical role cycling bioremediation oil. AlkB biodiversity is attributed its ability oxidize various lengths, while individual AlkBs target relatively narrow...
The hydrogenation of CO
Colloidal platinum nanoparticles (Pt NPs) possess a myriad of technologically relevant applications. A potentially sustainable route to synthesize Pt NPs is
We developed a 16-channel flow reactor for high-throughput reaction screening, coupled with machine learning product mapping and prediction.