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Michelangelo Domina

Observed names: Domina, Michelangelo, M. Domina
ORCID: 0000-0002-7009-9240
Observed ORCID: 0000-0002-7009-9240
OpenAlex ID: A5024468622
Linear Jacobi-Legendre expansion of the charge density for machine learning-accelerated electronic structure calculations
2023 · Bruno Focassio, Michelangelo Domina, et al. · npj Computational Materials · 31
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Spectral neighbor representation for vector fields: Machine learning potentials including spin
2022 · M. Domina, M. Cobelli, et al. · Physical review. B./Physical review. B · 28
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Cluster expansion constructed over Jacobi-Legendre polynomials for accurate force fields
2023 · M. Domina, U. Patil, et al. · Physical review. B./Physical review. B · 16
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Spontaneous Emission of an Atom Near an Oscillating Mirror
2019 · Alessandro Ferreri, Michelangelo Domina, et al. · Symmetry · 14
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Covariant Jacobi-Legendre expansion for total energy calculations within the projector augmented wave formalism
2024 · Bruno Focassio, Michelangelo Domina, et al. · Physical review. B./Physical review. B · 7
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Representing spherical tensors with scalar-based machine-learning models
2025 · M. Domina, F. Bigi, et al. · The Journal of Chemical Physics · 5
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Collective spontaneous emission of two entangled atoms near an oscillating mirror
2021 · Marta Reina, Michelangelo Domina, et al. · Physical Review A · 4
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How Unconstrained Machine-Learning Models Learn Physical Symmetries
2026 · M. Domina, J. W. Abbott, et al. · PRX Intelligence · 3
Resolving the body-order paradox of machine learning interatomic potentials
2026 · Sanggyu Chong, Tong Jiang, et al. · The Journal of Chemical Physics · 3
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Analysis of high-harmonic generation in terms of complex Floquet spectral analysis
2017 · H. Yamane, S. Tanaka, et al. · Photonics & Electromagnetics Research Symposium - Fall (PIERS-Fall) · 3
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Overcoming the limitations of body-ordered potentials for atomistic machine learning
2026 · Bigi, Filippo, Domina, Michelangelo, et al. · arXiv (Cornell University) · 2
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Using large language models to probe the limits of atom-centered structural descriptors
2026 · Michelangelo Domina, Michele Ceriotti · The Journal of Chemical Physics · 1
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How unconstrained machine-learning models learn physical symmetries
2026 · Domina, Michelangelo, Abbott, Joseph W., et al. · NCCR MARVEL · 1
Unconstrained learning of equivariant atomistic properties
2026 · Abbott, Joseph W., Pegolo, Paolo, et al. · arXiv (Cornell University)
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Supplemental Material
2026 · Michelangelo Domina, Michele Ceriotti · AIP Publishing
Data Record
2026 · Michelangelo Domina, Michele Ceriotti · AIP Publishing
Validation scripts and input structures for "Using large language models to probe the limits of atom-centered structural descriptors"
2026 · Domina, Michelangelo, Ceriotti, Michele · Zenodo (CERN European Organization for Nuclear Research)
Using large language models to probe the limits of atom-centered structural descriptors
2026 · Michele Ceriotti, Michelangelo Domina · AIP Publishing
How unconstrained machine-learning models learn physical symmetries
2026 · Domina, Michelangelo, Abbott, Joseph W., et al. · NCCR MARVEL
Resolving the body-order paradox of machine learning interatomic potentials
2026 · Chong, Sanggyu, Jiang, Tong, et al. · NCCR MARVEL
Resolving the body-order paradox of machine learning interatomic potentials
2026 · Chong, Sanggyu, Jiang, Tong, et al. · NCCR MARVEL
Supplementary Material
2026 · Admin, AIP, Chong, Sanggyu, et al. · AIP Publishing
Resolving the Body-Order Paradox of Machine Learning Interatomic Potentials
2026 · Jiang, Tong, Lee, Joonho, et al. · AIP Publishing
Works count: 28
Citation count: 119
H-index: 5
I10-index: 4
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