Modeling for Frontal Polymerization Curing Process

The DON26BZ01-NV010 “ELLMENT” project aims to develop a traceable and explainable Large Language Model (LLM) for Naval Flight Officers (NFOs) and mission crew on E-2D aircraft. This LLM will serve as an on-demand Natural Language Processing (NLP) decision-support assistant, providing real-time insights from various operational documents and data sources. The project emphasizes a modular, self-contained AI/NLP solution designed for stand-alone operation, with a focus on traceability, source attribution, and model transparency. It also requires future extensibility to multi-modal data ingestion. Contractors must be U.S. owned and operated, capable of acquiring and maintaining secret-level facility and personnel clearances due to potential classification of work. Phase I involves defining the foundational architecture, establishing security and ethical AI governance, selecting and training an LLM on Navy-specific data, and evaluating its performance. Phase II focuses on deploying the LLM in a laboratory for rigorous evaluation by NFOs in simulated mission scenarios, assessing its efficacy as a real-time decision-support system, and exploring advanced computing architectures. Phase III dual-use applications include predictive maintenance, supply chain optimization, threat detection, and security auditing, highlighting the LLM's adaptability and broader operational utility beyond its initial scope, particularly for on-premise, domain-specific applications.