Thrilled to Receive ACCESS Allocation for BRAINIAC!
🎉 Exciting News! 🎉
I’m thrilled to announce that our project, BRAINIAC: An AI-Driven Framework for Accelerating Nano-Micro Materials Discovery and Device Innovation, has received a substantial allocation from NSF ACCESS — 1.5 million credits! This support will be instrumental in scaling up our efforts and pushing the boundaries of AI-driven materials discovery.
BRAINIAC has already garnered major institutional support, with awards from Argonne National Laboratory’s Nanoscale Materials and the 2024 AI+Science Research Initiative at University of Chicago’s Data Science Institute. These resources have enabled us to process 40,000+ publications using LLMs and conduct thousands of DFT simulations for critical applications like detecting PFAS in water.
Special thanks to Professor Junhong Chen and Professor Yuxin Chen for their ongoing support and guidance! I’m incredibly grateful for their mentorship, which makes all of this possible.
We’re also excited to share that our passionate PhD candidate, Rodrigo Pires Ferreira (rpferreira@uchicago.edu), is making fantastic progress on preliminary results for BRAINIAC. We plan to submit an initial manuscript by the end of 2024! 📈
With the ACCESS allocation, we’re empowered to explore new possibilities in AI and materials science, contributing to Uchicago’s leadership in AI research and paving the way for breakthrough discoveries.
Stay tuned for more updates as we continue this exciting journey! 🚀
