Adoption of Conductive Polymers for Lithium-ion Battery
How are you currently building use cases, collecting data, and researching for new businesses or emerging markets? In many cases, researching and collecting data are manually done and can become a time-consuming process since you are searching through Google, setting up Google alerts, other databases, finding use cases, or watching videos by yourself. There’s actually a better way for you to collect the data you want, and you get to collaborate with your team and other teams at the same time.
In this report, you will learn how Ideapoke AInsight helps researchers find, extract, compile, and the analyze data on new polymers and altering existing polymer terminal groups to achieve high ionic conductivity in electrolytes used in lithium-ion batteries with the help of AI. It will show you what data were found, and how the data can be used in a variety of ways.
With the help of Ideapoke AInsight, you can:
- Easily gather accurate data with AI
- Speed up your research time
- Turn collected data into reports, analysis, whitepapers, use cases, strategy plans, and more
- Share and collaborate with your team and other teams
Download Ideapoke’s report to learn more about leveraging AI to help with your research and your reports.