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Journal Articles
- 2024
[j2]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:
Jobflow: Computational Workflows Made Simple. J. Open Source Softw. 9(93): 5995 (2024)- 2019
- [j1]Andrew S. Rosen, Justin M. Notestein, Randall Q. Snurr:
Identifying promising metal-organic frameworks for heterogeneous catalysis via high-throughput periodic density functional theory. J. Comput. Chem. 40(12): 1305-1318 (2019)
Conference and Workshop Papers
- 2024
- [c1]Xiang Fu, Tian Xie, Andrew S. Rosen, Tommi S. Jaakkola, Jake Smith:
MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design. ICLR 2024
Informal and Other Publications
- 2024
- [i4]Xiang Fu, Andrew S. Rosen, Kyle Bystrom, Rui Wang, Albert Musaelian, Boris Kozinsky, Tess E. Smidt, Tommi S. Jaakkola:
A Recipe for Charge Density Prediction. CoRR abs/2405.19276 (2024) - 2023
- [i3]Xiang Fu, Tian Xie, Andrew S. Rosen, Tommi S. Jaakkola, Jake Smith:
MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design. CoRR abs/2310.10732 (2023) - [i2]Daniel Rothchild, Andrew S. Rosen, Eric Taw, Connie Robinson, Joseph E. Gonzalez, Aditi S. Krishnapriyan:
Investigating the Behavior of Diffusion Models for Accelerating Electronic Structure Calculations. CoRR abs/2311.01491 (2023) - 2022
- [i1]Alexander Dunn, John Dagdelen, Nicholas Walker, Sanghoon Lee, Andrew S. Rosen, Gerbrand Ceder, Kristin A. Persson, Anubhav Jain:
Structured information extraction from complex scientific text with fine-tuned large language models. CoRR abs/2212.05238 (2022)
Coauthor Index
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