Understanding Structure and Properties of MgCl2 Supported
Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine
Learning: How Modelling Uncovers the Origin of Industrial
Catalysis

MADDALENA D'AMORE

doi:10.21467/abstracts.122

Understanding Structure and Properties of MgCl2 Supported Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine Learning: How Modelling Uncovers the Origin of Industrial Catalysis

MADDALENA D'AMORE

Dipartimento di Scienze e Innovazione Tecnologica

Risultato della ricerca: Contributo alla conferenza › Contributo in Atti di Convegno

Lingua originale	Inglese
DOI	https://doi.org/10.21467/abstracts.122
Stato di pubblicazione	Pubblicato - 2022
Evento	Understanding Structure and Properties of MgCl2 Supported Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine Learning: How Modelling Uncovers the Origin of Industrial Catalysis - University Saad Dahleb Blida 1, Algeria Durata: 1 gen 2022 → …

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???event.eventtypes.event.conference???	Understanding Structure and Properties of MgCl2 Supported Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine Learning: How Modelling Uncovers the Origin of Industrial Catalysis
Città	University Saad Dahleb Blida 1, Algeria
Periodo	1/01/22 → …

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10.21467/abstracts.122

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D'AMORE, MADDALENA. (2022). Understanding Structure and Properties of MgCl2 Supported Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine Learning: How Modelling Uncovers the Origin of Industrial Catalysis. Articolo presentato al Understanding Structure and Properties of MgCl2 Supported Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine Learning: How Modelling Uncovers the Origin of Industrial Catalysis, University Saad Dahleb Blida 1, Algeria. https://doi.org/10.21467/abstracts.122

D'AMORE, MADDALENA. / Understanding Structure and Properties of MgCl2 Supported Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine Learning: How Modelling Uncovers the Origin of Industrial Catalysis. Articolo presentato al Understanding Structure and Properties of MgCl2 Supported Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine Learning: How Modelling Uncovers the Origin of Industrial Catalysis, University Saad Dahleb Blida 1, Algeria.

@conference{333bdb13bd2e4360a764af70f39e04d1,

title = "Understanding Structure and Properties of MgCl2 Supported Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine Learning: How Modelling Uncovers the Origin of Industrial Catalysis",

author = "MADDALENA D'AMORE",

year = "2022",

doi = "10.21467/abstracts.122",

language = "English",

note = "Understanding Structure and Properties of MgCl2 Supported Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine Learning: How Modelling Uncovers the Origin of Industrial Catalysis ; Conference date: 01-01-2022",

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D'AMORE, MADDALENA 2022, 'Understanding Structure and Properties of MgCl2 Supported Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine Learning: How Modelling Uncovers the Origin of Industrial Catalysis', Articolo presentato al Understanding Structure and Properties of MgCl2 Supported Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine Learning: How Modelling Uncovers the Origin of Industrial Catalysis, University Saad Dahleb Blida 1, Algeria, 1/01/22. https://doi.org/10.21467/abstracts.122

Understanding Structure and Properties of MgCl2 Supported Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine Learning: How Modelling Uncovers the Origin of Industrial Catalysis. / D'AMORE, MADDALENA.
2022. Articolo presentato al Understanding Structure and Properties of MgCl2 Supported Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine Learning: How Modelling Uncovers the Origin of Industrial Catalysis, University Saad Dahleb Blida 1, Algeria.

Risultato della ricerca: Contributo alla conferenza › Contributo in Atti di Convegno

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AU - D'AMORE, MADDALENA

PY - 2022

Y1 - 2022

UR - https://iris.uniupo.it/handle/null

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DO - 10.21467/abstracts.122

M3 - Paper

T2 - Understanding Structure and Properties of MgCl2 Supported Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine Learning: How Modelling Uncovers the Origin of Industrial Catalysis

Y2 - 1 January 2022

ER -

D'AMORE MADDALENA. Understanding Structure and Properties of MgCl2 Supported Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine Learning: How Modelling Uncovers the Origin of Industrial Catalysis. 2022. Articolo presentato al Understanding Structure and Properties of MgCl2 Supported Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine Learning: How Modelling Uncovers the Origin of Industrial Catalysis, University Saad Dahleb Blida 1, Algeria. doi: 10.21467/abstracts.122