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P. Juhás

32 papers hereh-index 338.4k citations127 works total

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

author position
  • first author1
  • middle author22

Across the 23 of 32 papers where every author was matched, so the position is known.

fields
  • quant-ph17
  • cond-mat.mtrl-sci12
  • cond-mat.soft1
  • cond-mat.str-el1
  • physics.comp-ph1
same name
  • P. Juhás — 3 papers, h 8

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
20072026
most citedPDFgetX3: A rapid and highly automatable program for processing powder diffraction data into total scattering pair distribution functions

1.3k citations · 4.4k across the 31 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

cond-mat.mtrl-sci2019

sasPDF: pair distribution function analysis of nanoparticle assemblies from small-angle-scattering data

Chia-Hao Liu, Eric M. Janke, Ruipen Li +4

We extends pair distribution function (PDF) analysis into the small-angle scattering (SAS) regime and describe the data collection protocol for optimum data quality. We also presen…

cond-mat.mtrl-sci2019★ 32 cited

Structure-mining: screening structure models by automated fitting to the atomic pair distribution function over large numbers of models

Long Yang, Pavol Juhás, Maxwell W. Terban +2

A new approach is presented to obtain candidate structures from atomic pair distribution function (PDF) data in a highly automated way. It fetches, from web-based structural databa…

cond-mat.mtrl-sci2019★ 2 cited

Cluster-mining: An approach for determining core structures of metallic nanoparticles from atomic pair distribution function data

Soham Banerjee, Chia-Hao Liu, Kirsten M. O. Jensen +6

We present a novel approach for finding and evaluating structural models of small metallic nanoparticles. Rather than fitting a single model with many degrees of freedom, the appro…

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