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Jakub Lengiewicz

4 papers hereh-index 341 citations5 works total

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

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci1
  • cs.CE1
  • cs.LG1
  • physics.comp-ph1
same name
  • Jakub Lengiewicz — 1 paper, h 1

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

collaborators

4 papers

physics.comp-ph2026

Structured force reformulation of many-body dispersion: towards effective atom--atom decomposition and surrogate modeling

Zhaoxiang Shen, Raúl I. Sosa, Stéphane P. A. Bordas +2

We present a structured force reformulation of the many-body dispersion (MBD) model that enables a physically consistent decomposition of forces into pairwise components. By introd…

cs.LG2026

Machine learning surrogate models of many-body dispersion interactions in polymer melts

Zhaoxiang Shen, Raúl I. Sosa, Jakub Lengiewicz +2

Accurate prediction of many-body dispersion (MBD) interactions is essential for understanding the van der Waals forces that govern the behavior of many complex molecular systems. H…

cond-mat.mtrl-sci2025

A Fully Discrete Element Approach for Modeling Vacuum Packed Particle Dampers

Pawel Chodkiewicz, Robert Zalewski, Jakub Lengiewicz

In this work, we investigate Vacuum-Packed Particle (VPP) dampers -- granular-core dampers offering tunable damping performance -- as a more sustainable alternative to conventional…

cs.CE2025

Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids

Saurabh Deshpande, Hussein Rappel, Mark Hobbs +2

Many real-world applications demand accurate and fast predictions, as well as reliable uncertainty estimates. However, quantifying uncertainty on high-dimensional predictions is st…

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