Mingjian Wen

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 6

Top Topics

Finite Element Model

Chemical Reaction

Handling Uncertainty

Top Venues

Comput. Phys. Commun.

Nat. Comput. Sci.

Publications

Andrew S. Rosen, Max 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
Jobflow: Computational Workflows Made Simple. J. Open Source Softw. 9 (93) (2024)
Mingjian Wen, Evan Walter Clark Spotte-Smith, Samuel M. Blau, Matthew J. McDermott, Aditi S. Krishnapriyan, Kristin A. Persson
Chemical reaction networks and opportunities for machine learning. Nat. Comput. Sci. 3 (1) (2023)
Zeren Shui, Daniel S. Karls, Mingjian Wen, Ilia A. Nikiforov, Ellad B. Tadmor, George Karypis
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties. NeurIPS (2022)
Zeren Shui, Daniel S. Karls, Mingjian Wen, Ilia A. Nikiforov, Ellad B. Tadmor, George Karypis
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties. CoRR (2022)
Mingjian Wen, Yaser Afshar, Ryan S. Elliott, Ellad B. Tadmor
KLIFF: A framework to develop physics-based and machine learning interatomic potentials. Comput. Phys. Commun. 272 (2022)
Yonatan Kurniawan, Cody L. Petrie, Mark K. Transtrum, Ellad B. Tadmor, Ryan S. Elliott, Daniel S. Karls, Mingjian Wen
Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling. e-Science (2022)