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researcher

A. Krishnamurthy

14 papers hereh-index 252.3k citations177 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author10
  • last author4

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG4
  • physics.flu-dyn2
  • cond-mat.mtrl-sci1
  • math.NA1
  • physics.comp-ph1
same name
  • A. Krishnamurthy — 36 papers, h 47
  • A. Krishnamurthy — 14 papers, h 76
  • A. Krishnamurthy — 9 papers
  • A. Krishnamurthy — 3 papers
  • A. Krishnamurthy — 1 paper, h 13

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172025
most citedScalable adaptive PDE solvers in arbitrary domains

17 citations · 21 across the 10 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 1 cited

3D Reconstruction of Protein Complex Structures Using Synthesized Multi-View AFM Images

Jaydeep Rade, Soumik Sarkar, Anwesha Sarkar +1

Recent developments in deep learning-based methods demonstrated its potential to predict the 3D protein structures using inputs such as protein sequences, Cryo-Electron microscopy…

cs.LG2022

Neural PDE Solvers for Irregular Domains

Biswajit Khara, Ethan Herron, Zhanhong Jiang +8

Neural network-based approaches for solving partial differential equations (PDEs) have recently received special attention. However, the large majority of neural PDE solvers only a…

physics.comp-ph2022

CyRSoXS: A GPU-accelerated virtual instrument for Polarized Resonant Soft X-ray Scattering (P-RSoXS)

Kumar Saurabh, Peter J. Dudenas, Eliot Gann +9

Polarized Resonant Soft X-ray scattering (P-RSoXS) has emerged as a powerful synchrotron-based tool that combines principles of X-ray scattering and X-ray spectroscopy. P-RSoXS pro…

cs.CV2022

Concept Activation Vectors for Generating User-Defined 3D Shapes

Stefan Druc, Aditya Balu, Peter Wooldridge +2

We explore the interpretability of 3D geometric deep learning models in the context of Computer-Aided Design (CAD). The field of parametric CAD can be limited by the difficulty of…

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