Mingjian Wen

According to our database, Mingjian Wen authored at least 6 papers between 2022 and 2024.

Collaborative distances:

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

2024

Jobflow: Computational Workflows Made Simple.

Andrew S. Rosen, Max C. Gallant, Janine George, Janosh Riebesell, Hrushikesh Sahasrabuddhe, Jimmy-Xuan Shen, Mingjian Wen, Matthew L. Evans, Guido Petretto, David Waroquiers, Gian-Marco Rignanese, Kristin A. Persson, Anubhav Jain, Alex M. Ganose

J. Open Source Softw., January, 2024

Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification.

Zeren Shui, Petros Karypis, Daniel S. Karls, Mingjian Wen, Saurav Manchanda, Ellad B. Tadmor, George Karypis

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Chemical reaction networks and opportunities for machine learning.

Mingjian Wen, Evan Walter Clark Spotte-Smith, Samuel M. Blau, Matthew J. McDermott, Aditi S. Krishnapriyan, Kristin A. Persson

Nat. Comput. Sci., 2023

2022

KLIFF: A framework to develop physics-based and machine learning interatomic potentials.

Mingjian Wen, Yaser Afshar, Ryan S. Elliott, Ellad B. Tadmor

Comput. Phys. Commun., 2022

Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties.

Zeren Shui, Daniel S. Karls, Mingjian Wen, Ilia A. Nikiforov, Ellad B. Tadmor, George Karypis

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling.

Yonatan Kurniawan, Cody L. Petrie, Mark K. Transtrum, Ellad B. Tadmor, Ryan S. Elliott, Daniel S. Karls, Mingjian Wen

Proceedings of the 18th IEEE International Conference on e-Science, 2022