SOURCE-LINKED INTELLIGENCE
QuPAINT: Physics-Aware Multimodal Reasoning for Quantum Material Characterization
Characterizing two-dimensional (2D) quantum materials by optical microscopy requires localizing exfoliated flakes and determining their layer thickness from subtle optical contrast and interference color to select suitable flakes for device fabrication. However, models face synthetic-to-real domain shifts and variation across materials, substrates, laboratories, and imaging conditions. We present QuPAINT, a physics-aware multimodal framework for transferable quantum flake characterization. The Synthetic Materials Framework (Synthia) generates diverse synthetic microscopy images while preservin
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T20:56:07.000Z
First collected: 2026-09-20T18:42:18.733Z. This is not the publication date.