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Maria Emelianenko

1 paper here

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci1
ORCID 0000-0002-3209-4705

identity via Semantic Scholar / OpenAlex

most citedNumerical analysis of the vertex models for simulating grain boundary networks

1 citations · 1 across the 1 of their papers we have counts for

collaborators

4 papers

math.NA2024

On the Optimality of CVOD-based Column Selection

Maria Emelianenko, Guy B. Oldaker

While there exists a rich array of matrix column subset selection problem (CSSP) algorithms for use with interpolative and CUR-type decompositions, their use can often become prohi…

math.NA2024

Towards Robust Data-Driven Automated Recovery of Symbolic Conservation Laws from Limited Data

Tracey Oellerich, Maria Emelianenko

Conservation laws are an inherent feature in many systems modeling real world phenomena, in particular, those modeling biological and chemical systems. If the form of the underlyin…

math.NA2024

Adaptive Voronoi-based Column Selection Methods for Interpretable Dimensionality Reduction

Maria Emelianenko, Guy B. Oldaker

In data analysis, there continues to be a need for interpretable dimensionality reduction methods whereby instrinic meaning associated with the data is retained in the reduced spac…

cond-mat.mtrl-sci2014★ 1 cited

Numerical analysis of the vertex models for simulating grain boundary networks

Claudio Torres, Maria Emelianenko, Dmitry Golovaty +2

Polycrystalline materials undergoing coarsening can be represented as evolving networks of grain boundaries, whose statistical characteristics determine macroscopic materials prope…

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