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Pasini, Massimiliano Lupo
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1

A Deep Learning Approach for Detection and Localization of ..:

, In: Lecture Notes in Computational Science and Engineering; Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators,
Calabrò, Davide ; Pasini, Massimiliano Lupo ; Ferro, Nicola. - p. 43-66 , 2024
Link: https://doi.org/10.1007/..
 
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2

AI for Materials Design and Discovery Using Atomistic Scale..:

Pasini, Massimiliano Lupo
IEEE Computational Intelligence Magazine.  19 (2024)  2 - p. 13-14 , 2024
Link: https://doi.org/10.1109/..
 
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3

A Perspective on Scalable AI on High-Performance Computing ..:

Pasini, Massimiliano Lupo
IEEE Computational Intelligence Magazine.  19 (2024)  3 - p. 6-8 , 2024
Link: https://doi.org/10.1109/..
 
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4

Invariant Features for Accurate Predictions of Quantum Chem..:

, In: SoutheastCon 2024,
Baker, Justin ; Pasini, Massimiliano Lupo ; Hauck, Cory - p. 311-320 , 2024
Link: https://doi.org/10.1109/..
 
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5

Computational Workflow for Accelerated Molecular Design Usi..:

, In: Communications in Computer and Information Science; Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation,
Blanchard, Andrew E. ; Zhang, Pei ; Bhowmik, Debsindhu... - p. 3-19 , 2022
Link: https://doi.org/10.1007/..
 
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6

Stable Parallel Training of Wasserstein Conditional Generat..:

, In: 2021 International Conference on Computational Science and Computational Intelligence (CSCI),
Pasini, Massimiliano Lupo ; Yin, Junqi - p. 1-7 , 2021
Link: https://doi.org/10.1109/..
 
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7

Hierarchical model reduction driven by a proper orthogonal ..:

Pasini, Massimiliano Lupo ; Perotto, Simona
ETNA - Electronic Transactions on Numerical Analysis.  55 (2021)  - p. 187-212 , 2021
Link: https://doi.org/10.1553/..
 
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8

Transferring predictions of formation energy across lattice..:

Lupo Pasini, Massimiliano ; Karabin, Mariia ; Eisenbach, Markus
Machine Learning: Science and Technology.  5 (2024)  2 - p. 025015 , 2024
Link: https://doi.org/10.1088/..
 
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9

Anderson acceleration with approximate calculations: Applic..:

Lupo Pasini, Massimiliano ; Laiu, M. Paul
Numerical Linear Algebra with Applications.  , 2024
Link: https://doi.org/10.1002/..
 
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10

Graph neural networks predict energetic and mechanical prop..:

Lupo Pasini, Massimiliano ; Jung, Gang Seob ; Irle, Stephan
Computational Materials Science.  224 (2023)  - p. 112141 , 2023
Link: https://doi.org/10.1016/..
 
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11

DDStore: Distributed Data Store for Scalable Training of Gr..:

, In: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis,
Choi, Jong Youl ; Lupo Pasini, Massimiliano ; Zhang, Pei... - p. 941-950 , 2023
Link: https://dl.acm.org/doi/1..
 
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12

Deep learning workflow for the inverse design of molecules ..:

Yoo, Pilsun ; Bhowmik, Debsindhu ; Mehta, Kshitij...
Scientific Reports.  13 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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13

Hierarchical Model Reduction Driven by Machine Learning for..:

Lupo Pasini, Massimiliano ; Perotto, Simona
Journal of Scientific Computing.  94 (2023)  2 - p. , 2023
Link: https://doi.org/10.1007/..
 
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14

Two excited-state datasets for quantum chemical UV-vis spec..:

Lupo Pasini, Massimiliano ; Mehta, Kshitij ; Yoo, Pilsun.
Scientific Data.  10 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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15

Scalable training of graph convolutional neural networks fo..:

Choi, Jong Youl ; Zhang, Pei ; Mehta, Kshitij..
Journal of Cheminformatics.  14 (2022)  1 - p. , 2022
Link: https://doi.org/10.1186/..
 
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