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M. Richter-Laskowska

2 papers hereh-index 8127 citations15 works total

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cond-mat.dis-nn1
  • cond-mat.stat-mech1

identity via Semantic Scholar / OpenAlex

most citedA machine learning approach to the Berezinskii-Kosterlitz-Thouless transition in classical and quantum models

20 citations · 36 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.dis-nn2022★ 16 cited

A learning by confusion approach to characterize phase transitions

Monika Richter-Laskowska, Marcin Kurpas, Maciej Maśka

Recently, the learning by confusion (LBC) approach has been proposed as a machine learning tool to determine the critical temperature Tc of phase transitions without any prior know…

cond-mat.stat-mech2018★ 20 cited

A machine learning approach to the Berezinskii-Kosterlitz-Thouless transition in classical and quantum models

M. Richter-Laskowska, H. Khan, N. Trivedi +1

The Berezinskii-Kosterlitz-Thouless transition is a very specific phase transition where all thermodynamic quantities are smooth. Therefore, it is difficult to determine the critic…

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