Submitted our NSF ACCESS progress report for the BRAINIAC project. Summary of current status:

Completed:

• Published proof-of-concept as MSDE cover article
• Extracted structured data from 1,400+ research papers via LLM-assisted mining
• Achieved 89% classification accuracy on sensor screening task

In progress:

• Scaling up literature processing
• Incorporating time-series sensor response data
• Expanding DFT validation across material families
• Developing API for external research use

The premise of BRAINIAC is still the same: chain the individual ML pieces into workflows that follow how an expert actually reasons.