Nanostructure geometry on suspended van der Waals membranes provides deterministic control of multiaxial strain and bandgap profiles in 2D materials like Ga2Se2, with a two-component analytical model predicting shifts to within 12% error and extendable to other materials.
Brendan Murphy and Adrian E
4 Pith papers cite this work. Polarity classification is still indexing.
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Empirical Bayes denoising of Gaussian mechanism outputs reduces MSE for differentially private histogram release, PCA, and linear regression.
A deterministic compression method reduces high-dimensional discrete data to low-dimensional continuous representations that are injective, approximately Gaussian, and preserve cluster centroid separation for efficient model-based clustering.
Photometric redshift uncertainties bias Anderson-Darling and Gaussian-mixture tests toward relaxed cluster classifications, with Gaussian errors producing ~95% relaxed recovery versus ~5% for unrelaxed clusters.
citing papers explorer
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Deterministic Realization of Complex Local Strain Fields and Bandgap Profiles in Two-Dimensional Materials
Nanostructure geometry on suspended van der Waals membranes provides deterministic control of multiaxial strain and bandgap profiles in 2D materials like Ga2Se2, with a two-component analytical model predicting shifts to within 12% error and extendable to other materials.
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Enhancing Differentially Private Mechanisms via Empirical Bayes
Empirical Bayes denoising of Gaussian mechanism outputs reduces MSE for differentially private histogram release, PCA, and linear regression.
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Data compression for fast dimension reduction and clustering of high-dimensional discrete data
A deterministic compression method reduces high-dimensional discrete data to low-dimensional continuous representations that are injective, approximately Gaussian, and preserve cluster centroid separation for efficient model-based clustering.
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The Limits of Photometric Dynamics: Benchmarking Cluster Relaxation Diagnostics
Photometric redshift uncertainties bias Anderson-Darling and Gaussian-mixture tests toward relaxed cluster classifications, with Gaussian errors producing ~95% relaxed recovery versus ~5% for unrelaxed clusters.