Emma Lejeune

Orcid: 0000-0001-8099-3468

According to our database1, Emma Lejeune authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
FEniCS-arclength: A numerical continuation package in FEniCS for nonlinear problems in solid mechanics.
J. Open Source Softw., February, 2024

Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials.
CoRR, 2024

2023
SarcGraph: A Python package for analyzing the contractile behavior of pluripotent stem cell-derived cardiomyocytes.
J. Open Source Softw., July, 2023

Segmenting mechanically heterogeneous domains via unsupervised learning.
CoRR, 2023

2022
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics.
CoRR, 2022

Towards out of distribution generalization for problems in mechanics.
CoRR, 2022

Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Training Dataset.
CoRR, 2022

Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks.
CoRR, 2022

2021
Sarc-Graph: Automated segmentation, tracking, and analysis of sarcomeres in hiPSC-derived cardiomyocytes.
PLoS Comput. Biol., 2021

Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels.
CoRR, 2021

Geometric Stability Classification: Datasets, Metamodels, and Adversarial Attacks.
Comput. Aided Des., 2021

2020
FM-Track: A fiducial marker tracking software for studying cell mechanics in a three-dimensional environment.
SoftwareX, 2020

Exploring the potential of transfer learning for metamodels of heterogeneous material deformation.
CoRR, 2020


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