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researcher

M. Eisenbach

31 papers hereh-index 262.7k citations196 works total

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

author position
  • first author2
  • middle author20
  • last author8

Across the 30 of 31 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci16
  • physics.comp-ph4
  • cond-mat.dis-nn3
  • cs.CV3
  • cs.LG2
  • cs.RO2
same name
  • M. Eisenbach — 8 papers, h 2
  • M. Eisenbach — 3 papers, h 5

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
20162023
most citedDeciphering chemical order/disorder and material properties at the single-atom level

370 citations · 507 across the 22 of their papers we have counts for

collaborators
Showing 2020 · cond-mat.mtrl-sciShow all

3 papers · 2 filters

cond-mat.mtrl-sci2020★ 2 cited

Monte Carlo simulation of order-disorder transition in refractory high entropy alloys: a data-driven approach

Xianglin Liu, Jiaxin Zhang, Junqi Yin +3

High entropy alloys (HEAs) are a series of novel materials that demonstrate many exceptional mechanical properties. To understand the origin of these attractive properties, it is i…

cond-mat.mtrl-sci2020★ 2 cited

Tuning Fermi Levels in Intrinsic Antiferromagnetic Topological Insulators MnBi2Te4 and MnBi4Te7 by Defect Engineering and Chemical Doping

Mao-Hua Du, Jiaqiang Yan, Valentino R. Cooper +1

MnBi2Te4 and MnBi4Te7 are intrinsic antiferromagnetic topological insulators, offering a promising materials platform for realizing exotic topological quantum states. However, high…

cond-mat.mtrl-sci2020

Predicting the phase stability of multi-component high entropy compounds

Krishna Chaitanya Pitike, Santosh KC, Markus Eisenbach +2

A generic method to estimate the relative feasibility of formation of high entropy compounds in a single phase, directly from first principles, is developed. As a first step, the r…

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