Publications per year
Publications per year
Overview
Education/Academic qualification
Math-Applied, Doctorate Degree
Fingerprint
Dive into the research topics where Massimiliano Lupo Pasini is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Researcher collaborations from the last five years
Based on publications and projects (not datasets). Dive into details by clicking on the dots or
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Graph neural networks for mechanical property prediction of 2D fiber composites
Caliskan, E., Abedi, R. & Lupo Pasini, M., Sep 2025, In: Materials and Design. 257, 114500.Research output: Contribution to journal › Article › peer-review
Open Access -
Inverse mapping of properties to composition through generative modeling for designing molten salts
Barra, J., Chahal, R., Banerjee, S., Lupo Pasini, M., Irle, S. & Lam, S., Dec 2025, In: npj Computational Materials. 11, 1, 190.Research output: Contribution to journal › Article › peer-review
Open Access -
Scalable training of trustworthy and energy-efficient predictive graph foundation models for atomistic materials modeling: a case study with HydraGNN
Lupo Pasini, M., Choi, J. Y., Mehta, K., Zhang, P., Rogers, D., Bae, J., Ibrahim, K. Z., Aji, A. M., Schulz, K. W., Polo, J. & Balaprakash, P., Mar 2025, In: Journal of Supercomputing. 81, 4, 618.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling
Li, C., Ye, Z., Pasini, M. L., Choi, J. Y., Wan, C. & Balaprakash, P., 2025, 2025 62nd ACM/IEEE Design Automation Conference, DAC 2025. Institute of Electrical and Electronics Engineers Inc., (Proceedings - Design Automation Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Transferable predictions of energetic and structural properties for refractory solid solution alloys across chemical compositions
Lupo Pasini, M., Zhang, P., Choi, J. Y., Samolyuk, G., Eisenbach, M. & Yang, Y., Jul 2025, In: Computational Materials Science. 257, 113908.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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ORNL_AISD_NiNb
Jung, G. (Creator), Lupo Pasini, M. (Creator) & Irle, S. (Creator), Constellation by Oak Ridge Leadership Computing Facility (OLCF), Oct 11 2022
Dataset
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FeSi binary alloy electronic structure low-Si dataset (1024 atoms)
Lupo Pasini, M. (Creator), Reeve, S. T. (Creator), Samolyuk, G. (Creator), Ellis, D. (Creator) & Eisenbach, M. (Creator), Constellation by Oak Ridge Leadership Computing Facility (OLCF), Feb 15 2021
DOI: 10.13139/ORNLNCCS/1765080
Dataset
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TaV_BCC_SolidSolution_128atoms_VASP6
Lupo Pasini, M. (Creator), Samolyuk, G. (Creator), Eisenbach, M. (Creator), Choi, J. Y. (Creator), Yin, J. (Creator) & Yang, Y. (Creator), Constellation by Oak Ridge Leadership Computing Facility (OLCF), Dec 29 2023
Dataset
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ORNL_AISD_NiPt_108atoms
Karabin, M. (Creator), Lupo Pasini, M. (Creator) & Eisenbach, M. (Creator), Constellation by Oak Ridge Leadership Computing Facility (OLCF), May 18 2023
Dataset
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FePt binary alloy with 32 atoms - LSMS-3 data
Lupo Pasini, M. (Creator) & Eisenbach, M. (Creator), Constellation by Oak Ridge Leadership Computing Facility (OLCF), Feb 15 2021
Dataset