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Emma Lejeune
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2020 – today
- 2024
- [j5]Peerasait Prachaseree
, Saeed Mohammadzadeh
FEniCS-arclength: A numerical continuation package in FEniCS for nonlinear problems in solid mechanics. J. Open Source Softw. 9(94): 5727 (2024) - [i8]Lingxiao Yuan, Emma Lejeune, Harold S. Park:
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials. CoRR abs/2404.13215 (2024) - 2023
- [j4]Saeed Mohammadzadeh
SarcGraph: A Python package for analyzing the contractile behavior of pluripotent stem cell-derived cardiomyocytes. J. Open Source Softw. 8(87): 5322 (2023) - [i7]Quan Nguyen, Emma Lejeune:
Segmenting mechanically heterogeneous domains via unsupervised learning. CoRR abs/2308.15697 (2023) - 2022
- [i6]Peerasait Prachaseree, Emma Lejeune:
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks. CoRR abs/2202.01380 (2022) - [i5]Hiba Kobeissi, Saeed Mohammadzadeh, Emma Lejeune:
Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Training Dataset. CoRR abs/2203.04183 (2022) - [i4]Lingxiao Yuan, Harold S. Park
Towards out of distribution generalization for problems in mechanics. CoRR abs/2206.14917 (2022) - [i3]Saeed Mohammadzadeh, Peerasait Prachaseree, Emma Lejeune:
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics. CoRR abs/2212.00881 (2022) - 2021
- [j3]Emma Lejeune
Geometric Stability Classification: Datasets, Metamodels, and Adversarial Attacks. Comput. Aided Des. 131: 102948 (2021) - [j2]Bill Zhao
Sarc-Graph: Automated segmentation, tracking, and analysis of sarcomeres in hiPSC-derived cardiomyocytes. PLoS Comput. Biol. 17(10) (2021) - [i2]Saeed Mohammadzadeh, Emma Lejeune
Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels. CoRR abs/2108.03995 (2021) - 2020
- [j1]Emma Lejeune
FM-Track: A fiducial marker tracking software for studying cell mechanics in a three-dimensional environment. SoftwareX 11: 100417 (2020) - [i1]Emma Lejeune, Bill Zhao:
Exploring the potential of transfer learning for metamodels of heterogeneous material deformation. CoRR abs/2010.16260 (2020)
Coauthor Index
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