PolyFusionAgent integrates a multimodal polymer foundation model with a literature-grounded AI agent for property prediction and inverse design of novel polymers.
Accelerating materials property predictions using machine learning.Scientific Reports, 3(1):2810, September 2013
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Spatial statistics on voxelized structures using FFT correlations and PCA yield low-dimensional convex features that support accurate predictions with as few as 10 training samples.
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PolyFusionAgent: A Multimodal Foundation Model and Autonomous AI Assistant for Polymer Property Prediction and Inverse Design
PolyFusionAgent integrates a multimodal polymer foundation model with a literature-grounded AI agent for property prediction and inverse design of novel polymers.