Emma Lejeune

According to our database, Emma Lejeune authored at least 18 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Interdisciplinary Workshop on Mechanical Intelligence: Summary Report.

Victoria A. Webster-Wood, Nicholas Gravish, Amir Alavi, Andres F. Arrieta, Sarah Bergbreiter, Anthony Bloch, Laura H. Blumenschein, C. Chase Cao, Aja Mia Carter, Paolo Celli, Tony Chen, Margaret M. Coad, Mark R. Cutkosky, Michael Dickey, Brian Do, Robert J. Full, Mahdi Haghshenas-Jaryani, Kaushik Jayaram, Aaron M. Johnson, Eva Kanso, Emma Lejeune, Chen Li, Suyi Li, Jeffrey Lipton, Robert MacCurdy, Matt McHenry, Jean-Michel Mongeau, Todd Murphey, Mark Plecnik, Jordan Raney, Ryan D. Sochol, Hannah Stuart, Zeynep Temel, Michael Thomas Tolley, Barry Trimmer, T. J. Wallin, Kon-Well Wang, Wenzhong Yan, Mark Yim, Wenlong Zhang

CoRR, April, 2026

Information Propagation and Encoding in Solids: A Quantitative Approach Towards Mechanical Intelligence.

Peerasait Prachaseree, Emma Lejeune

CoRR, February, 2026

2025

FEM-Bench: A Structured Scientific Reasoning Benchmark for Evaluating Code-Generating LLMs.

Saeed Mohammadzadeh, Erfan Hamdi, Joel Shor, Emma Lejeune

CoRR, December, 2025

Towards Robust Surrogate Models: Benchmarking Machine Learning Approaches to Expediting Phase Field Simulations of Brittle Fracture.

Erfan Hamdi, Emma Lejeune

CoRR, July, 2025

Quantifying HiPSC-CM structural organization at scale with deep learning-enhanced SarcGraph.

Saeed Mohammadzadeh, Emma Lejeune

PLoS Comput. Biol., 2025

2024

FEniCS-arclength: A numerical continuation package in FEniCS for nonlinear problems in solid mechanics.

Peerasait Prachaseree, Saeed Mohammadzadeh, Berkin Dortdivanlioglu, Emma Lejeune

J. Open Source Softw., February, 2024

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

Lingxiao Yuan, Emma Lejeune, Harold S. Park

CoRR, 2024

2023

SarcGraph: A Python package for analyzing the contractile behavior of pluripotent stem cell-derived cardiomyocytes.

Saeed Mohammadzadeh, Emma Lejeune

J. Open Source Softw., July, 2023

Segmenting mechanically heterogeneous domains via unsupervised learning.

Quan Nguyen, Emma Lejeune

CoRR, 2023

2022

Investigating Deep Learning Model Calibration for Classification Problems in Mechanics.

Saeed Mohammadzadeh, Peerasait Prachaseree, Emma Lejeune

CoRR, 2022

Towards out of distribution generalization for problems in mechanics.

Lingxiao Yuan, Harold S. Park, Emma Lejeune

CoRR, 2022

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

Hiba Kobeissi, Saeed Mohammadzadeh, Emma Lejeune

CoRR, 2022

Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks.

Peerasait Prachaseree, Emma Lejeune

CoRR, 2022

2021

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

Bill Zhao, Kehan Zhang, Christopher S. Chen, Emma Lejeune

PLoS Comput. Biol., 2021

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

Saeed Mohammadzadeh, Emma Lejeune

CoRR, 2021

Geometric Stability Classification: Datasets, Metamodels, and Adversarial Attacks.

Emma Lejeune

Comput. Aided Des., 2021

2020

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

Emma Lejeune, Alex Khang, Jacob Sansom, Michael S. Sacks

SoftwareX, 2020

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

Emma Lejeune, Bill Zhao

CoRR, 2020