AI Model: Fine-tuned Domain-specific LLMs or GPT, Gemini, Claude etc.
Post-training: Supervised fine-tuning and RLVR with RAG
Training Data: Large-scale in-house dataset
Citation
Li, R., Ceballos, D., Funke, O., Ogunjobi, O., Eshan, M., Zeng, Y., Goddard L., "RavenLLM: LLM-Based Retrosynthetic Planning and Chemistry Discovery for Autonomous Materials Design." Under Review (2026)
Synthera R&D Team
Research Engineers:
Owen Funke
Neural Networks & Chemical Synthesis
Olamide Ogunjobi
LLM Integration & Photoresist Design
Mohamed Eshan
AI-Driven Photosensitive Materials
