Zilai Yan Email & Phone Number | • Overview: 9 years of experience in battery R&D, specializing in the development of silicon-graphite electrodes, synthesis of cathode/anode materials, creation of innovative diagnostic methods for material and cell degradation, and the design and assembly of pouch cells. • Coulometry/impedance/degradation study of Li-cells: Designed and developed cost-effective, high-accuracy methods for measuring coulometric and impedance changes and assessing degradation in lithium cells. Proficient in pouch cell assembly and conducting electrochemical tests. • Material characterization and analysis methods: Micro-CT, UV, SEM, TEM, AFM, XRD, FTIR, Raman, TG-DSC, FIB. • Data analysis: Proficient in Python and other programming languages for bulk data analysis and ChatGPT prompt engineering.

Zilai Yan

• Overview: 9 years of experience in battery R&D, specializing in the development of silicon-graphit...
Woburn, Massachusetts, United States

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Zilai Yan’s Email zyan@princeton.edu

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Zilai Yan’s Location Woburn, Massachusetts, United States

Zilai Yan’s Current Industry Ses Ai

Zilai Yan’s Prior Industry Princeton University | Princeton University Ecs Student Chapter | Dalhousie University

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Senior Scientist

2023-06-01 00:00:00 - Present

Postdoctoral Research Associate

2022-05-01 00:00:00 - 2023-04-01 00:00:00

Co-founder and VP

2022-10-01 00:00:00 - 2023-04-01 00:00:00

Research Assistant

2022-01-01 00:00:00 - 2022-04-01 00:00:00

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Zilai Yan is a • Overview: 9 years of experience in battery R&D, specializing in the development of silicon-graphite electrodes, synthesis of cathode/anode materials, creation of innovative diagnostic methods for material and cell degradation, and the design and assembly of pouch cells. • Coulometry/impedance/degradation study of Li-cells: Designed and developed cost-effective, high-accuracy methods for measuring coulometric and impedance changes and assessing degradation in lithium cells. Proficient in pouch cell assembly and conducting electrochemical tests. • Material characterization and analysis methods: Micro-CT, UV, SEM, TEM, AFM, XRD, FTIR, Raman, TG-DSC, FIB. • Data analysis: Proficient in Python and other programming languages for bulk data analysis and ChatGPT prompt engineering.