Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters
Configuring an advanced scientific simulator, translating a modeling goal into a valid, runnable input deck, is a persistent bottleneck that costs domain scientists hours to days. Input decks are executable interfaces: simulator-specific vocabulary, cross-file references, schema constraints, and validation rules must align before a simulation can run. We show that this bottleneck can be substantially reduced with a lightweight adapter around an off-the-shelf coding agent, rather than a bespoke s
Record details
Published: 8 June 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (8 June 2026), “Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters,” evidence record 1249, https://ethics.ai/record/1249 (originally published by arXiv).
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