Writing a Peer-Reviewed Paper with AI Tools

Context

• AI tools can assist with various stages of writing a peer-reviewed paper.
• Current rules don't allow the AI-generated papers for submission, but future changes are anticipated.

Workflow for Creating a Paper

Data Collection

1. Collect Data: Start by gathering raw data from experiments or studies.

Data Visualization

2. Data Visualization Tool (Julius): Use tools like Julius to transform raw data into graphs and schematics. Example: Convert data from a four-point probe measurement into a figure for clearer understanding.

Research Story Development

3. Research Story Structure (ChatGPT): Import figures into ChatGPT to generate a cohesive research story and outline for your thesis.

Iterative Process

4. Figure Iteration: Continuously refine figures and story structure. Gather more data if needed to complete the research narrative.

Paper Structure

5. Story Structure with Gen Spark: Enter figures into Gen Spark for generating a structured draft of a peer-reviewed paper, which includes:
   • Introduction
   • Materials and Methods
   • Results and Discussion
   • Conclusion

Draft Creation

6. Draft Creation (Gen Spark): Gen Spark utilizes figures and captions to create a strong first draft, including recommendations for paper sections like electrical and optical properties analysis.

Revision and Feedback

7. Revision Tool (Thesify): Use Thesify to get constructive feedback and evaluate sections. Offers early stage feedback, critique on purpose, evidence, etc.
   • Feedback on thesis statement and improvements.
   • Suggestions for examples.

Submission Preparation

8. Submission Resources (Thesify): Provides suggestions for journals matching your paper. Helps identify potential conferences for presentations.

Journals and Conferences

9. Identify Target Journals: Suggestions included for likely journals and conferences to submit your research.

Importance

• AI tools streamline the writing process and provide a structured approach to creating research publications.
• AI assists with the grunt work, leaving researchers to focus on deeper analysis.

Future Implications

• As acceptance grows, AI-generated drafts could become standard in academic publishing.
• AI tools provide a starting point, but human expertise is crucial for finalizing accuracy and integrity in discussions and conclusions.