FiLM-PPO for Requirement-Aware Airfoil Optimization

Published: 8 July 2026| Version 1 | DOI: 10.17632/8xjcv527w2.1
Contributor:
YL Dong

Description

This dataset contains curated source data and compact processed supporting data for the manuscript "A FiLM-Modulated Conditional PPO Framework for Requirement-Aware Airfoil Optimization". The data support the reported results on training convergence, target-lift tracking, L/D-weight response, FiLM-vs-concatenation ablation, few-shot adaptation to unseen design requirements, airfoil-geometry comparison, and Pareto-front quality analysis. The package includes figure source data, table source data, processed supporting CSV/JSON files, a file manifest, and metadata mapping each file to the corresponding manuscript figure or table. Large intermediate training and search caches were excluded when smaller figure/table source files preserve the values used in the manuscript. The associated code is available at https://github.com/dyll123/FiLM-PPO-airfoil-optimaiztion.

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Categories

Artificial Intelligence, Aerospace Engineering, Mechanical Engineering, Computational Fluid Dynamics

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