Publications
Read the latest papers published by our research teams.
Results
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Low-Photon Holographic Phase Retrieval via a Deep Decoder Neural Network
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Realizing a dynamical topological phase in a trapped-ion quantum simulator
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On the Origin of Stochastic, Low-Frequency Photometric Variability in Massive Stars
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Tree-aggregated predictive modeling of microbiome data
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Coherent Electromagnetic Emission from Relativistic Magnetized Shocks
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Analyzing black-hole ringdowns
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Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks
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A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variable
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Regression models for compositional data: General log-contrast formulations, proximal optimization, and microbiome data applications
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How crosslink numbers shape the large-scale physics of cytoskeletal materials
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Experiences and lessons learned from two virtual, hands-on microbiome bioinformatics workshops
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A causal view on compositional data
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Microtubule reorganization during female meiosis in C. elegans
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Anchor extension: a structure-guided approach to design cyclic peptides targeting enzyme active sites
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Single-particle excitations in the uniform electron gas by diagrammatic Monte Carlo
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A Tale of Two Grains: Impact of Grain Size on Ring Formation via Nonideal Magnetohydrodynamic Processes
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Dynamical correlation energy of metals in large basis sets from downfolding and composite approaches
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Momentum-space signatures of Berry flux monopoles in the Weyl semimetal TaAs
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A magnon scattering platform
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Rank-normalization, folding, and localization: An improved \(R\) for assessing convergence of MCMC
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Adaptive Monte Carlo augmented with normalizing flows
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Calibration of the Hα Age–Activity Relation for M Dwarfs
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Chemodynamically Characterizing the Jhelum Stellar Stream with APOGEE-2
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cuFINUFFT: a load-balanced GPU library for general-purpose nonuniform FFTs
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A Stellar Activity F-statistic for Exoplanet Surveys (SAFE)
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CMB lensing power spectrum estimation without instrument noise bias
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AI-assisted super-resolution cosmological simulations
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Recovering missing data in coherent diffraction imaging
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AI-assisted superresolution cosmological simulations
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Pinpointing the neural signatures of single-exposure visual recognition memory
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Single-cell gene regulatory network inference at scale: The Inferelator 3.0
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AI-assisted super-resolution cosmological simulations II: Halo substructures, velocities and higher order statistics
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Muonium hydride: The lowest density crystal
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Simulations of Trions and Biexcitons in Layered Hybrid Organic-Inorganic Lead Halide Perovskites
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Optimal control for quantum metrology via Pontryagin’s principle
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Designing and controlling the properties of transition metal oxide quantum materials
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Dependence of DFT+DMFT results on the construction of the correlated orbitals
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Astrophysics Milestones for Pulsar Timing Array Gravitational-wave Detection
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A Space Mission to Map the Entire Observable Universe using the CMB as a Backlight
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MHCEpitopeEnergy, a Flexible Rosetta-Based Biotherapeutic Deimmunization Platform
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Low rank compression in the numerical solution of the nonequilibrium Dyson equation
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The Galaxy Progenitors of Stellar Streams around Milky Way-mass Galaxies in the FIRE Cosmological Simulations
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The Hubbard model on the Bethe lattice via variational uniform tree states: metal-insulator transition and a Fermi liquid
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Fast multipole methods for evaluation of layer potentials with locally-corrected quadratures
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Broadband Multi-wavelength Properties of M87 during the 2017 Event Horizon Telescope Campaign
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VolPy: automated and scalable 2 analysis pipelines for voltage 3 imaging datasets
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Automated and scalable analysis pipelines for voltage imaging datasets
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Learning physically consistent differential equation models from data using group sparsity