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Arpan Biswas

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#machine learning Preprint Sep 2026

CrystalMO-TuRBO: Multi-Objective Trust-Region Bayesian Optimization for High-precision Joint Crystal Structure Refinement

Crystal structure refinement is a fundamental inverse problem in materials characterization, where structural parameters are optimized to reproduce experimental diffraction data. Conventional approaches, such as least-squares and likelihood-based optimization, rely on local search and often struggle with non-convex, no...

J. Agada, Yi-Shu Wang, Arpan Biswas · 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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