Joseph Musielewicz

According to our database, Joseph Musielewicz authored at least 7 papers between 2022 and 2026.

Collaborative distances:

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

2026

TriForces: Augmenting Atomistic GNNs for Transferable Representations.

Ali Ramlaoui, Alexandre Duval, Hannah Bull, Victor Schmidt, Hugues Talbot, Fragkiskos D. Malliaros, Joseph Musielewicz

CoRR, May, 2026

2025

LeMat-Traj: A Scalable and Unified Dataset of Materials Trajectories for Atomistic Modeling.

Ali Ramlaoui, Martin Siron, Inel Djafar, Joseph Musielewicz, Amandine Rossello, Victor Schmidt, Alexandre Duval

CoRR, August, 2025

2024

Generalization of graph-based active learning relaxation strategies across materials.

Xiaoxiao Wang, Joseph Musielewicz, Richard Tran, Sudheesh Kumar Ethirajan, Xiaoyan Fu, Hilda Mera, John R. Kitchin, Rachel C. Kurchin, Zachary W. Ulissi

Mach. Learn. Sci. Technol., 2024

Rotationally Invariant Latent Distances for Uncertainty Estimation of Relaxed Energy Predictions by Graph Neural Network Potentials.

Joseph Musielewicz, Janice Lan, Matt Uyttendaele, John R. Kitchin

CoRR, 2024

2023

AmpTorch: A Python package for scalable fingerprint-based neural network training on multi-element systems with integrated uncertainty quantification.

Muhammed Shuaibi, Yuge Hu, Xiangyun Lei, Benjamin M. Comer, Matt Adams, Jacob Paras, Rui Qi Chen, Eric Musa, Joseph Musielewicz, Andrew A. Peterson, Andrew J. Medford, Zachary W. Ulissi

J. Open Source Softw., 2023

2022

Robust and scalable uncertainty estimation with conformal prediction for machine-learned interatomic potentials.

Yuge Hu, Joseph Musielewicz, Zachary W. Ulissi, Andrew J. Medford

Mach. Learn. Sci. Technol., December, 2022

FINETUNA: fine-tuning accelerated molecular simulations.

Joseph Musielewicz, Xiaoxiao Wang, Tian Tian, Zachary W. Ulissi

Mach. Learn. Sci. Technol., September, 2022