MADDALENA D'AMORE

Emailmaddalena.damoreuniupoit
Websitehttps://upobook.uniupo.it/003788

Research activity per year

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1 Similar Profiles

1 Finished
1 Active

ECOSTORE-H2: SVILUPPO ECOSOSTENIBILE DI POLIMERI E CARBONI ULTRA POROSI PER LO STOCCAGGIO E IL TRASPORTO DI IDROGENO
MARCHESE, L. (PI), GIOVENZANA, G. B. (CoI), MILETTO, I. (CoI), BISIO, C. (CoI), GATTI, G. (CoI), COSSI, M. (CoI), D'AMORE, M. (CoI), BOCCALERI, E. (CoI), LOMBARDI, R. (CoI), DONDERO, F. (CoI), CALISI, A. (CoI), GUIDO, C. A. (CoI) & GIANOTTI, E. (CoI)
Ministero della Transizione Ecologica - MITE
1/01/23 → 30/06/26
Project: Research
EnvELOP: EnvELOP: Environmental tuning of microbial rhodopsins Electronic Landscape for New Optogenetic Potentialities
GUIDO, C. A. (PI) & D'AMORE, M. (CoI)
MUR - Ministero dell'Università e Ricerca
28/09/23 → 28/02/26
Project: Research

15 Article
3 Paper
2 Chapter

Characterization of the negatively charged NV defect through the spin density distribution and the hyperfine coupling constants
AM., F., El-Kelany, K. E., Gentile, F. S., D'AMORE, M., Romeo, E. & Dovesi, R., 2022, In: Journal of Physics and Chemistry of Solids. 162
Research output: Contribution to journal › Article › peer-review
Disordered Rock-Salt Type Li2TiS3 as Novel Cathode for LIBs: A Computational Point of View
Rocca, R., Sgroi, M. F., Camino, B., D'AMORE, M. & Ferrari, A. M., 2022, In: Nanomaterials. 12, 11
Research output: Contribution to journal › Article › peer-review

Open Access
Effect of Internal Donors on Raman and IR Spectroscopic Fingerprints of MgCl2/TiCl4 Nanoclusters Determined by Machine Learning and DFT
D'AMORE, M., Taniike, T., Terano, M., Ferrari & A, M., 2022, In: Materials. 15, 3, 16 p.
Research output: Contribution to journal › Article › peer-review
Effect of Internal Donors on Raman and IR Spectroscopic Fingerprints of MgCl2/TiCl4 Nanoclusters Determined by Machine Learning and DFT
D'AMORE, M., Taniike, T., Terano, M., Ferrari & A, M., 2022, In: Materials. 15, 3, 16 p.
Research output: Contribution to journal › Article › peer-review
The NV0 defects in diamond: A quantum mechanical characterization through its vibrational and Electron Paramagnetic Resonance spectroscopies
Ferrari, A. M., D'AMORE, M., El-Kelany, K. E., Gentile, F. S. & Dovesi, R., 2022, In: Journal of Physics and Chemistry of Solids. 160, p. 110304-1-110304-9 9 p.
Research output: Contribution to journal › Article › peer-review

MADDALENA D'AMORE

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Collaborations and top research areas from the last five years

Dive into details

ECOSTORE-H2: SVILUPPO ECOSOSTENIBILE DI POLIMERI E CARBONI ULTRA POROSI PER LO STOCCAGGIO E IL TRASPORTO DI IDROGENO

EnvELOP: EnvELOP: Environmental tuning of microbial rhodopsins Electronic Landscape for New Optogenetic Potentialities

Characterization of the negatively charged NV defect through the spin density distribution and the hyperfine coupling constants

Disordered Rock-Salt Type Li2TiS3 as Novel Cathode for LIBs: A Computational Point of View

Effect of Internal Donors on Raman and IR Spectroscopic Fingerprints of MgCl2/TiCl4 Nanoclusters Determined by Machine Learning and DFT

Effect of Internal Donors on Raman and IR Spectroscopic Fingerprints of MgCl2/TiCl4 Nanoclusters Determined by Machine Learning and DFT

The NV0 defects in diamond: A quantum mechanical characterization through its vibrational and Electron Paramagnetic Resonance spectroscopies

MADDALENA D'AMORE

Fingerprint

Collaborations and top research areas from the last five years

Projects

ECOSTORE-H2: SVILUPPO ECOSOSTENIBILE DI POLIMERI E CARBONI ULTRA POROSI PER LO STOCCAGGIO E IL TRASPORTO DI IDROGENO

EnvELOP: EnvELOP: Environmental tuning of microbial rhodopsins Electronic Landscape for New Optogenetic Potentialities

Research output

Characterization of the negatively charged NV defect through the spin density distribution and the hyperfine coupling constants

Disordered Rock-Salt Type Li2TiS3 as Novel Cathode for LIBs: A Computational Point of View

Effect of Internal Donors on Raman and IR Spectroscopic Fingerprints of MgCl2/TiCl4 Nanoclusters Determined by Machine Learning and DFT

Effect of Internal Donors on Raman and IR Spectroscopic Fingerprints of MgCl2/TiCl4 Nanoclusters Determined by Machine Learning and DFT

The NV0 defects in diamond: A quantum mechanical characterization through its vibrational and Electron Paramagnetic Resonance spectroscopies