960 citations
- Stony Brook UniversityUS19 papers
- Brookhaven National LaboratoryUS5 papers
- Stony Brook SchoolUS3 papers
- Harvard UniversityUS2 papers
- Massachusetts General HospitalUS2 papers
- Stony Brook University HospitalUS2 papers
- University of BonnDE2 papers
- Upton HospitalGB2 papers
- Zhengzhou UniversityCN2 papers
- Agence Parisienne du ClimatFR1 paper
- American Musicological SocietyUS1 paper
- Argonne National LaboratoryUS1 paper
29 papers
Noninvertible Kramers-Wannier duality symmetries for the discrete-time quantum Ising chain
Akash Sinha, Pramod Padmanabhan, Vladimir Korepin
Integrable trotterization} provides a method to evolve a continuous time integrable many-body system in discrete time, such that it retains its conserved quantities. Here we explic…
Text-Driven Weakly Supervised OCT Lesion Segmentation with Structural Guidance
Jiaqi Yang, Nitish Mehta, Xiaoling Hu +2
Accurate segmentation of Optical Coherence Tomography (OCT) images is crucial for diagnosing and monitoring retinal diseases. However, the labor-intensive nature of pixel-level ann…
Experimental Verification of Demon-Involved Fluctuation Theorems
L. -L. Yan, J. -T. Bu, Q. Zeng +8
The limit of energy saving in the control of small systems has recently attracted much interest due to the concept refinement of the Maxwell demon. Inspired by a newly proposed set…
High precision measurements of alpha_s at the future EIC
T. Kutz, J. R. Pybus, D. W. Upton +7
We present a projection study for the first moments of the inclusive spin structure function for the proton and neutron from simulated doubly-polarized e+p and e+3He collision data…
Giant quantum oscillations in thermal transport in low-density metals via electron absorption of phonons
B. Bermond, R. Wawrzynczak, S. Zherlitsyn +14
Oscillations of conductance observed in strong magnetic fields are a striking manifestation of the quantum dynamics of charge carriers in solids. The large charge carrier density i…
Open and reusable deep learning for pathology with WSInfer and QuPath
Jakub R. Kaczmarzyk, Alan O'Callaghan, Fiona Inglis +5
The field of digital pathology has seen a proliferation of deep learning models in recent years. Despite substantial progress, it remains rare for other researchers and pathologist…