A Self-Evolving Agentic Framework for Metasurface Inverse Design
A Self-Evolving Agentic Framework for Metasurface Inverse Design explores An AI agent that autonomously learns and refines workflows for complex optical device design, reducing the need for specialized expertise.. Commercial viability score: 7/10 in AI for Scientific Discovery.
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 ThisMulti-Agent Collaboration for Automated Design Exploration on High Performance Computing SystemsViability: 6.0
- Builds On ThisEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary VerificationViability: 5.0
- Builds On ThisComAgent: Multi-LLM based Agentic AI Empowered Intelligent Wireless NetworksViability: 6.0
- Builds On ThisEffiSkill: Agent Skill Based Automated Code Efficiency OptimizationViability: 4.0
- Builds On ThisSciDesignBench: Benchmarking and Improving Language Models for Scientific Inverse Design