AeroTherm-GPT: A Verification-Centered LLM Framework for Thermal Protection System Engineering Workflows
AeroTherm-GPT: A Verification-Centered LLM Framework for Thermal Protection System Engineering Workflows explores A specialized LLM agent for thermal protection system design that iteratively generates, validates, and repairs simulation artifacts to ensure engineering workflow compliance.. Commercial viability score: 7/10 in Engineering AI.
Updated 8 hours ago
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisToolGate: Contract-Grounded and Verified Tool Execution for LLMsViability: 6.0
- Builds On ThisBeyond Task Completion: Revealing Corrupt Success in LLM Agents through Procedure-Aware EvaluationViability: 5.0
- Builds On ThisAdaptive Confidence Gating in Multi-Agent Collaboration for Efficient and Optimized Code GenerationViability: 3.0
- Prior WorkSafePilot: A Framework for Assuring LLM-enabled Cyber-Physical SystemsViability: 7.0
- Prior WorkVeriAgent: A Tool-Integrated Multi-Agent System with Evolving Memory for PPA-Aware RTL Code Generation