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researcher

S. Sankaranarayanan

36 papers hereh-index 519.5k citations317 works total

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

author position
  • middle author16
  • last author18

Across the 34 of 36 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci18
  • physics.comp-ph5
  • cond-mat.soft4
  • physics.app-ph3
  • cs.LG2
  • cs.CE1
same name
  • S. Sankaranarayanan — 40 papers, h 44
  • S. Sankaranarayanan — 16 papers, h 19
  • S. Sankaranarayanan — 6 papers, h 8
  • S. Sankaranarayanan — 1 paper, h 1
  • S. Sankaranarayanan — 1 paper, h 2
  • S. Sankaranarayanan — 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
20152026
most citedReal-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning

53 citations · 312 across the 35 of their papers we have counts for

collaborators
Showing 2020 · physics.comp-phShow all

2 papers · 2 filters

physics.comp-ph2020★ 30 cited

Active Learning A Neural Network Model For Gold Clusters \& Bulk From Sparse First Principles Training Data

Troy D Loeffler, Sukriti Manna, Tarak K Patra +3

Small metal clusters are of fundamental scientific interest and of tremendous significance in catalysis. These nanoscale clusters display diverse geometries and structural motifs d…

physics.comp-ph2020

Machine Learning for Multi-fidelity Scale Bridging and Dynamical Simulations of Materials

Rohit Batra, Subramanian Sankaranarayanan

Molecular dynamics (MD) is a powerful and popular tool for understanding the dynamical evolution of materials at the nano and mesoscopic scales. There are various flavors of MD ran…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.