Publications
Read the latest papers published by our research teams.
Results
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Influence of surface viscosities on the electrodeformation of a prolate viscous drop
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Prebifurcation enhancement of imbibition-drainage hysteresis cycles
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Interpretable neural architecture search and transfer learning for understanding CRISPR–Cas9 off-target enzymatic reactions
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Analysis of the human kidney transcriptome and plasma proteome identifies markers of proximal tubule maladaptation to injury
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Explainable Equivariant Neural Networks for Particle Physics: PELICAN
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Soft matter roadmap
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Provable convergence guarantees for black-box variational inference
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Building a "trap model" of glassy dynamics from a local structural predictor of rearrangements
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Confirmations, correlatons and instabilities of a flexible fiber in an active fluid
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Uniqueness and characteristic flow for a non strictly convex singular variational problem
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Sharp error estimates for target measure diffusion maps with applications to the committor problem
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Tunable Tesla-scale magnetic attosecond pulses through ring-current gating
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Mapping light-dressed Floquet bands by highly nonlinear optical excitations and valley polarization
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Metal-insulator transition and quantum magnetism in the SU(3) Fermi-Hubbard model
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Metal-insulator transition and quantum magnetism in the SU(3) Fermi-Hubbard model
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Metal-insulator transition and quantum magnetism in the SU(3) Fermi-Hubbard model
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Metal-insulator transition and quantum magnetism in the SU(3) Fermi-Hubbard model
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Metal-insulator transition and quantum magnetism in the SU(3) Fermi-Hubbard model
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Metal-insulator transition and quantum magnetism in the SU(3) Fermi-Hubbard model
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Metal-insulator transition and quantum magnetism in the SU(3) Fermi-Hubbard model
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Metal-insulator transition and quantum magnetism in the SU(3) Fermi-Hubbard model
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Fate of Quasiparticles at High Temperature in the Correlated Metal Sr
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Metal-insulator transition and quantum magnetism in the SU(3) Fermi-Hubbard model
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Comparing neural models using their perceptual discriminability predictions
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Efficient coding of natural images using maximum manifold capacity representations
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Adaptive whitening with fast gain modulation and slow synaptic plasticity
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A polar prediction model for learning to represent visual transformations
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Targeted V1 comodulation supports task-adaptive sensory decisions
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Improving Convergence and Generalization Using Parameter Symmetries
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A dynamical model of growth and maturation in Drosophila
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Morphogens enable interacting supracellular phases that generate organ architecture
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Microscopic Theory, Analysis, and Interpretation of Conductance Histograms in Molecular Junctions
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Bacterial diffusion in disordered media, by forgetting the media
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Sculpting the Sphinx
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Dispersion of run-and-tumble microswimmers through disordered media
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The power of weak, transient interactions across biology: A paradigm of emergent behavior
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A chemomechanical model of sperm locomotion reveals two modes of swimming
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Bayesian spatial modelling of localised SARS-CoV-2 transmission through mobility networks across England
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A model of replicating coupled oscillators generates naturally occurring cell networks
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Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models
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Equilibrium quantum impurity problems via matrix product state encoding of the retarded action
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IIM2FieldII: A Framework for Validating Ultrasound Measurements of Volumetric Flow and WSS in Complex Carotid Plaque Geometries
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Birth of a Transformer: A Memory Viewpoint
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Protein-Engineered Fibers For Drug Encapsulation Traceable via 19F Magnetic Resonance
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On Learning Gaussian Multi-index Models with Gradient Flow
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Extracting thermodynamic properties from van ’t Hoff plots with emphasis on temperature-sensing ion channels
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Phonon-Enhanced Nonlinearities in Hexagonal Boron Nitride
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Weakened Topological Protection of the Quantum Hall Effect in a Cavity