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Laxmi Bhurtel

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#machine learning Preprint Sep 2026

A Digital Simulation Toolkit for Physics-Based Generation of Realistic Experimental Scanning Tunneling Microscopy Images

Scanning Tunneling Microscopy (STM) is a widely used tool for characterizing surfaces of materials at the atomic scale, playing a crucial role in discoveries across condensed matter physics and materials science. Despite its extreme spatial resolution, STM is one of the most sensitive microscopy techniques and is highl...

Huan-Huan Zhao, Laxmi Bhurtel, Connor Vernachio et al. · 0 citations
Open access Jul 2026

A Fourier-based global denoising model for the smart removal of artifacts in microscopy images

A global denoising model (GDM) to smartly remove artifacts from microscopy images while preserving weaker but physically important features is proposed and the tuning effect between two imaging input channels on the trade-off performance between artifact removal and feature preservation is showcased.

Huan-Huan Zhao, Connor Vernachio, Laxmi Bhurtel et al. · 0 citations

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