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Georgetown University

United States

10 papers here14 citations across 10
fields
  • cs.CY3
  • cond-mat.mes-hall1
  • cond-mat.mtrl-sci1
  • cond-mat.soft1
  • cs.CL1
  • cs.CR1
  • eess.IV1
  • quant-ph1
ROR 05vzafd60OpenAlex

affiliations via OpenAlex

most citedA Generalizable Deep Learning System for Cardiac MRI

7 citations

researchers with a paper here
  • M. Yarmohammadi2 · h 5
  • Tadayoshi Kohno2 · h 4
  • A. Alqahtani1 · h 1
  • Abhishek Purushothama1 · h 3
  • A. El Fatimy1 · h 5
  • A. Feria1 · h 2
  • Allison Lu1 · h 3
  • Amy Y. Liu1 · h 1
  • Anna i. Gueorguieva1 · h 5
  • A. Sojka1 · h 6
  • Aylin Caliskan1 · h 3
  • Bernardo B. P. Medeiros1 · h 0
collaborating institutions
  • University of WashingtonUS2 papers
  • Arizona State UniversityUS1 paper
  • Brno University of TechnologyCZ1 paper
  • Bunker Hill Community CollegeUS1 paper
  • Carnegie Mellon UniversityUS1 paper
  • Central European Institute of TechnologyCZ1 paper
  • International Institute of Information Technology, HyderabadIN1 paper
  • MedStar Georgetown University HospitalUS1 paper
  • Norwegian University of Science and TechnologyNO1 paper
  • Palacký University OlomoucCZ1 paper
  • Roanoke CollegeUS1 paper
  • Seattle UniversityUS1 paper
Showing cond-mat.softShow all

1 paper · 1 filter

cond-mat.soft2026

Disentangling microstructural elements of shear thickening suspensions via computer simulations of a minimal model

William C. J. Buchholtz, Daniel L. Blair, Jeffrey S. Urbach +2

We use a minimal model for a dense suspension undergoing thickening and thinning to investigate microstructural changes in 2d simulations. Our simulations show that in steady flow…

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