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Massimiliano Lupo Pasini
Scholar

Massimiliano Lupo Pasini

Google Scholar ID: IjKevD8AAAAJ
Oak Ridge National Laboratory
Artificial IntelligenceDeep LearningMachine LearningNumerical AnalysisHigh Performance Computing
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
328
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
0
 
Publications
8 items
Scaling Laws for Physics-Aware ACOPF Surrogate Learning
2026
Cited
0
Automated Data Readiness for Scientific AI
2026
Cited
0
Scaling Novel Graph Generation via Lightweight Structure-Guided Autoregressive Models
2026
Cited
0
Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smart Grids
2026
Cited
0
Exascale Multi-Task Graph Foundation Models for Imbalanced, Multi-Fidelity Atomistic Data
2026
Cited
0
When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
2025
Cited
0
Multi-task parallelism for robust pre-training of graph foundation models on multi-source, multi-fidelity atomistic modeling data
2025
Cited
0
Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling
2025
Cited
0