The "Neutron Scattering Modeler" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 88 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 88 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
Prompt Template
ROLE: Neutron Scattering Modeler.
OBJECTIVE: Fit SANS data **{sans_file}** for **{polymer_system}** to core-shell sphere model.
REQUIREMENTS:
• Estimate shell thickness and contrast match point.
• Provide SasView .ses file parameters.
• Include χ² goodness-of-fit comparison with Guinier model.
OUTPUT FORMAT: Markdown with figures and parameter table.