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

Department of Science and Technological Innovation

Research output: Contribution to conference › Paper

Original language	English
DOIs	https://doi.org/10.21467/abstracts.122
Publication status	Published - 2022
Event	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 Duration: 1 Jan 2022 → …

Conference

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
City	University Saad Dahleb Blida 1, Algeria
Period	1/01/22 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production

Access to Document

10.21467/abstracts.122

Cite this

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. Paper presented at 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. Paper presented at 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",

}

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', Paper presented at 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. Paper presented at 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.

Research output: Contribution to conference › Paper

TY - CONF

T1 - Understanding Structure and Properties of MgCl2 Supported Ziegler-Natta Nanoclusters by DFT, Spectroscopy and Machine Learning: How Modelling Uncovers the Origin of Industrial Catalysis

AU - D'AMORE, MADDALENA

PY - 2022

Y1 - 2022

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

U2 - 10.21467/abstracts.122

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. Paper presented at 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

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

UN SDGs

Access to Document

Other files and links

Cite this