publications | Alessandro Bombini's Homepage

2026

JINST

Optimization of 3D diamond detectors with graphitized electrodes based on an innovative numerical simulation.

L Anderlini, A Bombini, C Buti, and 4 more authors

Journal of Instrumentation, 2026

2025

PhiRO

A deep learning algorithm to generate synthetic computed tomography images for brain treatments from 0.35 T magnetic resonance imaging

Luca Vellini, Flaviovincenzo Quaranta, Sebastiano Menna, and 8 more authors

Physics and Imaging in Radiation Oncology, 2025

MLST

Towards virtual painting recolouring using vision transformer on x-ray fluorescence datacubes

Alessandro Bombini, Fernando Garcı́a-Avello Bofı́as, Francesca Giambi, and 1 more author

Machine Learning: Science and Technology, 2025

Bib

@article{bombini2025towards,
  title = {Towards virtual painting recolouring using vision transformer on x-ray fluorescence datacubes},
  author = {Bombini, Alessandro and Garc{\'\i}a-Avello Bof{\'\i}as, Fernando and Giambi, Francesca and Ruberto, Chiara},
  journal = {Machine Learning: Science and Technology},
  volume = {6},
  number = {1},
  pages = {015058},
  year = {2025},
  publisher = {IOP Publishing},
}

AA

Classifying spectra of emission-line regions with neural networks-An application to integral field spectroscopic data of M33

Caterina Bracci, Francesco Belfiore, Michele Ginolfi, and 8 more authors

Astronomy & Astrophysics, 2025

ArXiv

Physics Informed Neural Networks for design optimisation of diamond particle detectors for charged particle fast-tracking at high luminosity hadron colliders

Alessandro Bombini, Alessandro Rosa, Clarissa Buti, and 2 more authors

arXiv preprint arXiv:2509.21123, 2025

Bib

@article{bombini2025physics,
  title = {Physics Informed Neural Networks for design optimisation of diamond particle detectors for charged particle fast-tracking at high luminosity hadron colliders},
  author = {Bombini, Alessandro and Rosa, Alessandro and Buti, Clarissa and Passaleva, Giovanni and Anderlini, Lucio},
  journal = {arXiv preprint arXiv:2509.21123},
  year = {2025},
}

PhiRO

Optimizing thoracic synthetic computed tomography generation from magnetic resonance imaging: the role of Fourier transform and other key factors

Alessandro Bombini, Luca Vellini, Flaviovincenzo Quaranta, and 8 more authors

Physics and Imaging in Radiation Oncology, 2025

Bib

@article{bombini2025optimizing,
  title = {Optimizing thoracic synthetic computed tomography generation from magnetic resonance imaging: the role of Fourier transform and other key factors},
  author = {Bombini, Alessandro and Vellini, Luca and Quaranta, Flaviovincenzo and Lenkowicz, Jacopo and Menna, Sebastiano and Pilloni, Elisa and Catucci, Francesco and D’Aviero, Andrea and Votta, Claudio and Chiloiro, Giuditta and others},
  journal = {Physics and Imaging in Radiation Oncology},
  pages = {100893},
  year = {2025},
  publisher = {Elsevier},
}

2024

MLST

Datacube segmentation via Deep Spectral Clustering

Bombini, Alessandro and Bofías, Fernando García-Avello and Bracci, Caterina and Ginolfi, Michele and Ruberto, Chiara

Machine Learning: Science and Technology, 2024

Bib

@article{bombini2024datacube,
  author = {{Bombini, Alessandro and Bofías, Fernando García-Avello and Bracci, Caterina and Ginolfi, Michele and Ruberto, Chiara}},
  title = {{Datacube segmentation via Deep Spectral Clustering}},
  journal = {Machine Learning: Science and Technology},
  url = {http://iopscience.iop.org/article/10.1088/2632-2153/ad622f},
  year = {2024},
}

EPJplus

X-ray and neutron imaging for cultural heritage: the INFN-CHNet experience

A. Mazzinghi, L. Castelli, C. Ruberto, and 54 more authors

The European Physical Journal Plus, Jul 2024

Bib

@article{Mazzinghi2024,
  author = {Mazzinghi, A. and Castelli, L. and Ruberto, C. and Barone, S. and Garc{\'i}a-Avello Bof{\'i}as, F. and Bombini, A. and Czelusniak, C. and Gelli, N. and Giambi, F. and Manetti, M. and Massi, M. and Sodi, L. and Balerna, A. and Pronti, L. and Romani, M. and Angelucci, M. and Viviani, G. and Sciarra, V. and Cestelli Guidi, M. and Marabotto, M. and Sottili, L. and Vigorelli, L. and Tansella, F. and Magalini, M. and Guidorzi, L. and Re, A. and Lo Giudice, A. and Ricci, C. and Pozzi, F. and Iorio, G. and Graziani, V. and Fabbri, A. and Branchini, P. and De Carlo, A. and Tortora, L. and Morigi, M. P. and Bettuzzi, M. and Brancaccio, R. and Seracini, M. and Cantini, F. and Grazzi, F. and Marcucci, G. and Clemenza, M. and Alloni, D. and Altieri, S. and Rossini, R. and Salvini, A. and Sans-Planell, O. and Zafiropoulos, D. and Sarchiapone, L. and Arneodo, F. and Torres Saavedra, R. A. and Castell{\'a}, M. F. and Mastrangelo, N. and Morales, A. M. and Taccetti, F. and Giuntini, L.},
  title = {{X-ray and neutron imaging for cultural heritage: the INFN-CHNet experience}},
  journal = {The European Physical Journal Plus},
  year = {2024},
  month = jul,
  day = {19},
  volume = {139},
  number = {7},
  pages = {635},
  issn = {2190-5444},
  doi = {10.1140/epjp/s13360-024-05429-z},
  url = {https://doi.org/10.1140/epjp/s13360-024-05429-z},
}

A Lexicon for Social Media-Based Cultural Heritage Information in Crisis Situations: A Proposal

E Ronchieri, A Sopyryaeva, A Alkhansa, and 2 more authors

In International Symposium on Grids & Clouds (ISGC) 2024, Jul 2024
Privileged Bases for X-ray Fluorescence Spectra Robust Automatic Classification

Fernando Garcı́a-Avello Bofı́as, Alessandro Bombini, Chiara Ruberto, and 1 more author

In International Conference on Society for Design and Process Science, Jul 2024

OAR

Trained Models for ICSC Flagship 2.6.1. "Fast Extended Computer Vision" paper #1 "Datacube segmentation via Deep Spectral Clustering"

Alessandro Bombini, Fernando García-Avello Bofías, Caterina Bracci, and 2 more authors

Jan 2024

Bib

@misc{alessandro_bombini_2024_143543,
  author = {Bombini, Alessandro and Bofías, Fernando García-Avello and Bracci, Caterina and Ginolfi, Michele and Ruberto, Chiara},
  title = {{Trained Models for ICSC Flagship 2.6.1. "Fast 
                     Extended Computer Vision"  paper \#1 "Datacube
                     segmentation via Deep Spectral Clustering"}},
  month = jan,
  year = {2024},
  doi = {10.15161/oar.it/143543},
  url = {https://doi.org/10.15161/oar.it/143543},
  keywords = {code},
}

OAR

Synthetic Datasets for ICSC Flagship 2.6.1. "Fast Extended Computer Vision" paper #1 "Datacube segmentation via Deep Spectral Clustering"

Alessandro Bombini, Fernando García-Avello Bofías, Caterina Bracci, and 2 more authors

Jan 2024

Bib

@misc{alessandro_bombini_2024_143545,
  author = {Bombini, Alessandro and Bofías, Fernando García-Avello and Bracci, Caterina and Ginolfi, Michele and Ruberto, Chiara},
  title = {{Synthetic Datasets for ICSC Flagship 2.6.1. "Fast 
                     Extended Computer Vision"  paper \#1 "Datacube
                     segmentation via Deep Spectral Clustering"}},
  month = jan,
  year = {2024},
  doi = {10.15161/oar.it/143545},
  url = {https://doi.org/10.15161/oar.it/143545},
  keywords = {code},
}

2023

OAR

INFN-CHNet Radiation Data Storing And Visualizing System For The LABEC Tandem Accelerator

Alessandro Bombini, Caroline Czelusniak, Luca Carraresi, and 3 more authors

Jan 2023

Bib

@misc{Massi2023Labec,
  author = {Bombini, Alessandro and Czelusniak, Caroline and Carraresi, Luca and Giuntini, Lorenzo and Massi, Mirko and Taccetti, Francesco},
  title = {{INFN-CHNet Radiation Data Storing And Visualizing System For The LABEC Tandem Accelerator}},
  year = {2023},
  url = {https://www.lnf.infn.it/sis/preprint/getfilepdf.php?filename=INFN-23-23-FI.pdf},
  publisher = {INFN preprints},
}

arXiv

ganX – generate artificially new XRF a python library to generate MA-XRF raw data out of RGB images

Alessandro Bombini

Jan 2023

Bib

@misc{bombini2023ganx,
  title = {ganX -- generate artificially new XRF a python library to generate MA-XRF raw data out of RGB images},
  author = {Bombini, Alessandro},
  year = {2023},
  eprint = {2304.14078},
  archiveprefix = {arXiv},
  primaryclass = {physics.app-ph},
}

GARR

A Cloud Computing infrastructure for the Competence Centre for the Conservation of Cultural Heritage

Ahmad Alkhansa, Alessandro Bombini, Alessandro Costantini, and 2 more authors

In Conferenza GARR 2023 - Saperi Interconnessi. Infrastrutture per una scienza ad alte prestazioni, Jan 2023

Bib

@inproceedings{BombiniGarr2023,
  author = {Alkhansa, Ahmad and Bombini, Alessandro and Costantini, Alessandro and dell’Agnello, Luca and Taccetti, Francesco},
  title = {{A Cloud Computing infrastructure for the Competence Centre for the Conservation of Cultural Heritage}},
  booktitle = {{Conferenza GARR 2023 - Saperi Interconnessi. Infrastrutture per una scienza ad alte prestazioni}},
  year = {2023},
  volume = {Selected Papers},
  doi = {10.26314/GARR-Conf23-proceedings_07},
  url = {https://doi.org/10.26314/GARR-Conf23-proceedings_07},
  isbn = { 978-88-946629-2-4},
  publisher = {Associazione Consortium GARR},
  editor = {GARR},
  keywords = {article},
}

git

ganX - generate artificially new XRF

Alessandro Bombini

Jan 2023

PyPi release \urlhttps://pypi.org/project/ganx/

Bib

@software{Bombini_ganX_-_generate_2023,
  author = {Bombini, Alessandro},
  month = jan,
  title = {{ganX - generate artificially new XRF}},
  url = {https://github.com/androbomb/ganX},
  note = {PyPi release \url{https://pypi.org/project/ganx/} },
  version = {0.0.1},
  year = {2023},
  keywords = {code},
}

2022

LNCS
The AIRES-CH Project: Artificial Intelligence for Digital REStoration of Cultural Heritages Using Nuclear Imaging and Multidimensional Adversarial Neural Networks

Alessandro Bombini, Lucio Anderlini, Luca dell’Agnello, and 3 more authors

In Image Analysis and Processing – ICIAP 2022, Jan 2022

Abs Bib

Artificial Intelligence for digital REStoration of Cultural Heritage (AIRES-CH) aims at building a web-based app for the digital restoration of pictorial artworks through Computer Vision technologies applied to physical imaging raw data. Physical imaging techniques, such as XRF, PIXE, PIGE, and FTIR, are capable of exploring a wide range of wavelengths providing spectra that are used to infer the chemical composition of the pigments. A multidimensional neural network, specifically designed to automatically restore damaged or hidden pictorial work, will be deployed on the INFN-CHNet Cloud as a web service, freely available to authenticated researchers. In this contribution, we report the status of the project, its current results, the development plans as well as future prospects.
@inproceedings{BombiniICIAP2021, author = {Bombini, Alessandro and Anderlini, Lucio and dell'Agnello, Luca and Giacomini, Francesco and Ruberto, Chiara and Taccetti, Francesco}, editor = {Sclaroff, Stan and Distante, Cosimo and Leo, Marco and Farinella, Giovanni M. and Tombari, Federico}, title = {{The AIRES-CH Project: Artificial Intelligence for Digital REStoration of Cultural Heritages Using Nuclear Imaging and Multidimensional Adversarial Neural Networks}}, booktitle = {Image Analysis and Processing -- ICIAP 2022}, year = {2022}, publisher = {Springer International Publishing}, address = {Cham}, pages = {685--700}, isbn = {978-3-031-06427-2}, doi = {10.1007/978-3-031-06427-2_57}, url = {https://doi.org/10.1007/978-3-031-06427-2_57}, keywords = {article}, dimensions = {true}, }

LNCS

Hyperparameter Optimisation of Artificial Intelligence for Digital REStoration of Cultural Heritages (AIRES-CH) Models

Alessandro Bombini, Lucio Anderlini, Luca dell’Agnello, and 3 more authors

In Computational Science and Its Applications – ICCSA 2022 Workshops, Jan 2022

Abs Bib

@inproceedings{BombiniICCSA2022,
  author = {Bombini, Alessandro and Anderlini, Lucio and dell'Agnello, Luca and Giacomini, Francesco and Ruberto, Chiara and Taccetti, Francesco},
  editor = {Gervasi, Osvaldo and Murgante, Beniamino and Misra, Sanjay and Rocha, Ana Maria A. C. and Garau, Chiara},
  title = {{Hyperparameter Optimisation of Artificial Intelligence for Digital REStoration of Cultural Heritages (AIRES-CH) Models}},
  booktitle = {Computational Science and Its Applications -- ICCSA 2022 Workshops},
  year = {2022},
  publisher = {Springer International Publishing},
  address = {Cham},
  pages = {91--106},
  isbn = {978-3-031-10536-4},
  doi = {10.1007/978-3-031-10536-4_7},
  url = {https://doi.org/10.1007/978-3-031-10536-4_7},
  keywords = {article},
  dimensions = {true},
}

LNCS

Towards the Creation of AI-powered Queries Using Transfer Learning on NLP Model - The THESPIAN-NER Experience

Alessandro Bombini, Lisa Castelli, Achille Felicetti, and 3 more authors

In Image Analysis and Processing. ICIAP 2022 Workshops, Jan 2022

Abs Bib

Tools for HEritage Science Processing, Integration, and ANalysis (THESPIAN) is a cloud system that offers multiple web services to the researchers of INFN-CHNet, from storing their raw data to reusing them by following the FAIR principles for establishing integration and interoperability among shared information.

@inproceedings{BombiniAi4DH,
  author = {Bombini, Alessandro and Castelli, Lisa and Felicetti, Achille and Niccolucci, Franco and Reccia, Anna and Taccetti, Francesco},
  editor = {Mazzeo, Pier Luigi and Frontoni, Emanuele and Sclaroff, Stan and Distante, Cosimo},
  title = {{Towards the Creation of AI-powered Queries Using Transfer Learning on NLP Model - The THESPIAN-NER Experience}},
  booktitle = {Image Analysis and Processing. ICIAP 2022 Workshops},
  year = {2022},
  publisher = {Springer International Publishing},
  address = {Cham},
  pages = {266--277},
  isbn = {978-3-031-13324-4},
  doi = {10.1007/978-3-031-13324-4_23},
  keywords = {article},
}

Zenodo

Digitizing Cultural Heritage - A Reconnaissance Investigation on the Data Infrastructure

Alessandro Bombini, Achille Felicetti, Federico Ferrari, and 4 more authors

Mar 2022

Bib

@misc{alessandro_bombini_2022_6370361,
  author = {Bombini, Alessandro and Felicetti, Achille and Ferrari, Federico and Iadanza, Ernesto and Medici, Marco and Niccolucci, Franco and Prandoni, Claudio},
  title = {{Digitizing Cultural Heritage - A Reconnaissance 
                     Investigation on the Data Infrastructure}},
  month = mar,
  year = {2022},
  publisher = {Zenodo},
  doi = {10.5281/zenodo.6370361},
  url = {https://doi.org/10.5281/zenodo.6370361},
  keywords = {article},
}

ApplSc
A Cloud-Native Web Application for Assisted Metadata Generation and Retrieval: THESPIAN-NER

Alessandro Bombini, Ahmad Alkhansa, Laura Cappelli, and 3 more authors

Applied Sciences, Mar 2022

Abs Bib

Within the context of the Competence Centre for the Conservation of Cultural Heritage (4CH) project, the design and deployment of a platform-as-a-service cloud infrastructure for the first European competence centre of cultural heritage (CH) has begun, and some web services have been integrated into the platform. The first integrated service is the INFN-CHNet web application for FAIR storage of scientific analysis on CH: THESPIAN-Mask. It is based on CIDOC-CRM-compatible ontology and CRMhs, describing the scientific metadata. To ease the process of metadata generation and data injection, another web service has been developed: THESPIAN-NER. It is a tool based on a deep neural network for named entity recognition (NER), enabling users to upload their Italian-written report files and obtain labelled entities. Those entities are used as keywords either to serve as (semi)automatically custom queries for the database, or to fill (part of) the metadata form as a descriptor for the file to be uploaded. The services have been made freely available in the 4CH PaaS cloud platform.
@article{app122412910, author = {Bombini, Alessandro and Alkhansa, Ahmad and Cappelli, Laura and Felicetti, Achille and Giacomini, Francesco and Costantini, Alessandro}, title = {A Cloud-Native Web Application for Assisted Metadata Generation and Retrieval: THESPIAN-NER}, journal = {Applied Sciences}, volume = {12}, year = {2022}, number = {24}, article-number = {12910}, url = {https://www.mdpi.com/2076-3417/12/24/12910}, issn = {2076-3417}, doi = {10.3390/app122412910}, keywords = {article}, dimensions = {true}, }

GARR

SUM: Save the Ukrainian Monuments - The 4CH European Competence Centre action to save Ukrainian Digital Heritage

Alessandro Bombini, Lisa Castelli, Alessandro Costantini, and 7 more authors

In Conferenza GARR 2022 - Condivisioni. La rete come strumento per costruire il futuro, Mar 2022

Bib

@inproceedings{CastelliGarr2022,
  author = {Bombini, Alessandro and Castelli, Lisa and Costantini, Alessandro and Czelusniak, Caroline and dell’Agnello, Luca and Ronzino, Paola and Giacomini, Francesco and Niccolucci, Franco and Starodubtsev, Oleksandr and Taccetti, Francesco},
  title = {{SUM: Save the Ukrainian Monuments - The 4CH European Competence Centre action to save Ukrainian Digital Heritage}},
  booktitle = {{Conferenza GARR 2022 - Condivisioni. La rete come strumento per costruire il futuro}},
  year = {2022},
  volume = {Selected Papers},
  doi = {10.26314/GARR-Conf22-proceedings-17},
  url = {https://doi.org/10.26314/GARR-Conf22-proceedings-17},
  isbn = { 978-88-946629-1-7},
  publisher = {Associazione Consortium GARR},
  editor = {GARR},
  keywords = {article},
}

git

The AIRES-CH RESTful API microservice

Alessandro Bombini, Fernando García-Avello Bofías, Chiara Ruberto, and 1 more author

Nov 2022

Bib

@software{Bombini_The_AIRES-CH_RESTful_2022,
  author = {Bombini, Alessandro and Bofías, Fernando García-Avello and Ruberto, Chiara and Taccetti, Francesco},
  month = nov,
  title = {{The AIRES-CH RESTful API microservice}},
  url = {https://github.com/androbomb/AIRES_API},
  version = {0.0.1},
  year = {2022},
  keywords = {code},
}

2021

EPJp
LABEC, the INFN ion beam laboratory of nuclear techniques for environment and cultural heritage

M. Chiari, S. Barone, A. Bombini, and 22 more authors

The European Physical Journal Plus, Apr 2021

Abs Bib

The LABEC laboratory, the INFN ion beam laboratory of nuclear techniques for environment and cultural heritage, located in the Scientific and Technological Campus of the University of Florence in Sesto Fiorentino, started its operational activities in 2004, after INFN decided in 2001 to provide our applied nuclear physics group with a large laboratory dedicated to applications of accelerator-related analytical techniques, based on a new 3 MV Tandetron accelerator. The new accelerator greatly improved the performance of existing Ion Beam Analysis (IBA) applications (for which we were using since the 1980s an old single-ended Van de Graaff accelerator) and in addition allowed to start a novel activity of Accelerator Mass Spectrometry (AMS), in particular for 14C dating. Switching between IBA and AMS operation became very easy and fast, which allowed us high flexibility in programming the activities, mainly focused on studies of cultural heritage and atmospheric aerosol composition, but including also applications to biology, geology, material science and forensics, ion implantation, tests of radiation damage to components, detector performance tests and low-energy nuclear physics. This paper describes the facilities presently available in the LABEC laboratory, their technical features and some success stories of recent applications.
@article{Chiari2021, author = {Chiari, M. and Barone, S. and Bombini, A. and Calzolai, G. and Carraresi, L. and Castelli, L. and Czelusniak, C. and Fedi, M. E. and Gelli, N. and Giambi, F. and Giardi, F. and Giuntini, L. and Lagomarsino, S. and Liccioli, L. and Lucarelli, F. and Manetti, M. and Massi, M. and Mazzinghi, A. and Nava, S. and Ottanelli, P. and Sciortino, S. and Ruberto, C. and Sodi, L. and Taccetti, F. and Mand{\`o}, P. A.}, title = {{LABEC, the INFN ion beam laboratory of nuclear techniques for environment and cultural heritage}}, journal = {The European Physical Journal Plus}, year = {2021}, month = apr, day = {30}, volume = {136}, number = {4}, pages = {472}, issn = {2190-5444}, doi = {10.1140/epjp/s13360-021-01411-1}, url = {https://doi.org/10.1140/epjp/s13360-021-01411-1}, keywords = {article}, dimensions = {true}, }

GARR

CHNet cloud: an EOSC-based cloud for physical technologies applied to cultural heritages

Alessandro Bombini, Lisa Castelli, Luca dell’Agnello, and 4 more authors

In Conferenza GARR 2021 - Sostenibile/Digitale. Dati e tecnologie per il futuro, Apr 2021

Bib

@inproceedings{BombiniGarr2021,
  author = {Bombini, Alessandro and Castelli, Lisa and dell’Agnello, Luca and Felicetti, Achille and Giacomini, Francesco and Niccolucci, Franco and Taccetti, Francesco},
  title = {{CHNet cloud: an EOSC-based cloud for physical technologies applied to cultural heritages}},
  booktitle = {Conferenza GARR 2021 - Sostenibile/Digitale. Dati e tecnologie per il futuro},
  year = {2021},
  volume = {Selected Papers},
  doi = {10.26314/GARR-Conf21-proceedings-09},
  url = {https://doi.org/10.26314/GARR-Conf21-proceedings-09},
  isbn = {978-88-946629-0-0},
  publisher = {Associazione Consortium GARR},
  editor = {GARR},
  keywords = {article},
}

2020

JHEP

Holographic entanglement entropy and complexity of microstate geometries

Alessandro Bombini, and Giulia Fardelli

JHEP, Apr 2020

Bib

@article{Bombini:2019vuk,
  author = {Bombini, Alessandro and Fardelli, Giulia},
  title = {{Holographic entanglement entropy and complexity of microstate geometries}},
  eprint = {1910.01831},
  archiveprefix = {arXiv},
  primaryclass = {hep-th},
  doi = {10.1007/JHEP06(2020)181},
  journal = {JHEP},
  volume = {06},
  pages = {181},
  year = {2020},
  keywords = {article},
}

git

Gino the Neutrino

Alessio Bendoni, Alessandro Bombini, Serena Barone, and 3 more authors

Apr 2020

Bib

@software{Bendoni_Gino_the_Neutrino_2020,
  author = {Bendoni, Alessio and Bombini, Alessandro and Barone, Serena and Nesi, Francesca and Gavazzi, Gilberto and Baldini, Francesco},
  month = apr,
  title = {{Gino the Neutrino}},
  url = {https://github.com/DarkPower91/ldjam46},
  version = {1.0.0},
  year = {2020},
  keywords = {code},
}

2019

ClassQuantGrav

AdS Vacuum Bubbles, Holography and Dual RG Flows

Riccardo Antonelli, Ivano Basile, and Alessandro Bombini

Class. Quant. Grav., Apr 2019

Bib

@article{Antonelli:2018qwz,
  author = {Antonelli, Riccardo and Basile, Ivano and Bombini, Alessandro},
  title = {{AdS Vacuum Bubbles, Holography and Dual RG Flows}},
  eprint = {1806.02289},
  archiveprefix = {arXiv},
  primaryclass = {hep-th},
  doi = {10.1088/1361-6382/aafef9},
  journal = {Class. Quant. Grav.},
  volume = {36},
  number = {4},
  pages = {045004},
  year = {2019},
  keywords = {article},
}

EPJc

A note on the Virasoro blocks at order 1/c

Alessandro Bombini, Stefano Giusto, and Rodolfo Russo

Eur. Phys. J. C, Apr 2019

Bib

@article{Bombini:2018jrg,
  author = {Bombini, Alessandro and Giusto, Stefano and Russo, Rodolfo},
  title = {{A note on the Virasoro blocks at order $1/c$}},
  eprint = {1807.07886},
  archiveprefix = {arXiv},
  primaryclass = {hep-th},
  doi = {10.1140/epjc/s10052-018-6522-5},
  journal = {Eur. Phys. J. C},
  volume = {79},
  number = {1},
  pages = {3},
  year = {2019},
  keywords = {article},
  dimensions = {true},
}

ClassQuantGrav

Three-charge superstrata with internal excitations

Elaheh Bakhshaei, and Alessandro Bombini

Class. Quant. Grav., Apr 2019

Bib

@article{Bakhshaei:2018vux,
  author = {Bakhshaei, Elaheh and Bombini, Alessandro},
  title = {{Three-charge superstrata with internal excitations}},
  eprint = {1811.00067},
  archiveprefix = {arXiv},
  primaryclass = {hep-th},
  reportnumber = {DFPD-18-TH-03},
  doi = {10.1088/1361-6382/ab01bc},
  journal = {Class. Quant. Grav.},
  volume = {36},
  number = {5},
  pages = {055001},
  year = {2019},
  keywords = {article},
}

EPJc

General supersymmetric \hbox AdS_5 black holes with squashed boundary

Alessandro Bombini, and Lorenzo Papini

Eur. Phys. J. C, Apr 2019

Bib

@article{Bombini:2019jhp,
  author = {Bombini, Alessandro and Papini, Lorenzo},
  title = {{General supersymmetric $\hbox {AdS}_5$ black holes with squashed boundary}},
  eprint = {1903.00021},
  archiveprefix = {arXiv},
  primaryclass = {hep-th},
  doi = {10.1140/epjc/s10052-019-7015-x},
  journal = {Eur. Phys. J. C},
  volume = {79},
  number = {6},
  pages = {515},
  year = {2019},
  keywords = {article},
  dimensions = {true},
}

JHEP

AdS_3 four-point functions from \frac18 -BPS states

Alessandro Bombini, and Andrea Galliani

JHEP, Apr 2019

Bib

@article{Bombini:2019vnc,
  author = {Bombini, Alessandro and Galliani, Andrea},
  title = {{AdS$_{3}$ four-point functions from $ \frac{1}{8} $-BPS states}},
  eprint = {1904.02656},
  archiveprefix = {arXiv},
  primaryclass = {hep-th},
  doi = {10.1007/JHEP06(2019)044},
  journal = {JHEP},
  volume = {06},
  pages = {044},
  year = {2019},
  keywords = {article},
  dimensions = {true},
}

2018

EPJc

Unitary 4-point correlators from classical geometries

Alessandro Bombini, Andrea Galliani, Stefano Giusto, and 2 more authors

Eur. Phys. J. C, Apr 2018

Bib

@article{Bombini:2017sge,
  author = {Bombini, Alessandro and Galliani, Andrea and Giusto, Stefano and Moscato, Emanuele and Russo, Rodolfo},
  title = {{Unitary 4-point correlators from classical geometries}},
  eprint = {1710.06820},
  archiveprefix = {arXiv},
  primaryclass = {hep-th},
  doi = {10.1140/epjc/s10052-017-5492-3},
  journal = {Eur. Phys. J. C},
  volume = {78},
  number = {1},
  pages = {8},
  year = {2018},
  keywords = {article},
  dimensions = {true},
}

2017

JHEP

Non-extremal superdescendants of the D1D5 CFT

Alessandro Bombini, and Stefano Giusto

JHEP, Apr 2017

Bib

@article{Bombini:2017got,
  author = {Bombini, Alessandro and Giusto, Stefano},
  title = {{Non-extremal superdescendants of the D1D5 CFT}},
  eprint = {1706.09761},
  archiveprefix = {arXiv},
  primaryclass = {hep-th},
  doi = {10.1007/JHEP10(2017)023},
  journal = {JHEP},
  volume = {10},
  pages = {023},
  year = {2017},
  keywords = {article},
}