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Enrico Pedretti
Observed names:
E. Pedretti,
Pedretti, Enrico
Institution:
University of Bologna
Observed institution:
University of Bologna
ORCID:
0009-0006-7050-904X
Observed ORCID:
0009-0006-7050-904X
OpenAlex ID:
A5067914894
Xsorb: A software for identifying the most stable adsorption configuration and energy of a molecule on a crystal surface
2023
·
Enrico Pedretti
, Paolo Restuccia
, et al.
·
Computer Physics Communications
·
21
PDF
Synergistic effects of nitrogen-containing functionalized copolymer and silicon-doped DLC for friction and wear reduction
2024
·
Takeru Omiya
, Enrico Pedretti
, et al.
·
Tribology International
·
12
Optimized selectivity in CO2 electrochemical reduction using amorphous CuNi catalysts: Insights from density functional theory and machine learning simulations
2025
·
Akshayini Muthuperiyanayagam
, Enrico Pedretti
, et al.
·
Journal of Energy Chemistry
·
8
Passivation Species Suppress Atom-by-Atom Wear of Microcrystalline Diamond
2025
·
C. Leriche
, E. Pedretti
, et al.
·
ACS Applied Materials & Interfaces
·
6
PDF
Elucidating the composition and formation mechanism of slippery films from block copolymers on doped diamond-like carbon surfaces
2025
·
Takeru Omiya
, Enrico Pedretti
, et al.
·
Applied Surface Science
·
6
Ab Initio Insights into Zinc Dialkyldithiophosphate Linkage Isomers and Oxidative Degradation: Implications for Tribology
2025
·
Francesca Benini
, Paolo Restuccia
, et al.
·
ACS Applied Nano Materials
·
4
PDF
Phosphorus-based lubricant additives on iron with Machine Learning Interatomic Potentials
2026
·
Paolo Restuccia
, Enrico Pedretti
, et al.
·
Applied Surface Science
·
2
Amine- and hydroxyl-functionalized copolymers as lubricant additives on Si-doped DLC: A comparative experimental and computational study of their tribological performance
2025
·
Takeru Omiya
, Enrico Pedretti
, et al.
·
Applied Surface Science
·
2
Role of surface terminations on MXenes’ stability and performance in tribological applications
2026
·
Enrico Pedretti
, Andreas Rosenkranz
, et al.
·
MRS Bulletin
·
1
PDF
Phosphorus-based lubricant additives on iron with Machine Learning Interatomic Potentials
2025
·
Restuccia, Paolo
, Pedretti, Enrico
, et al.
·
arXiv (Cornell University)
·
1
PDF
Linking molecular anchoring, adsorption, boundary-film thickness, and friction of an amine-functionalized block copolymer on ferrous surfaces
2026
·
Takeru Omiya
, Yuxi Song
, et al.
·
Tribology International
Development and application of a machine learning potential for diamond surfaces and their sliding interfaces with silicon nitride and silica: effect of passivation, orientation and load
2026
·
Pedretti, Enrico
, Righi, Maria Clelia
·
arXiv (Cornell University)
PDF
Unraveling the Atomistic Mechanisms Underlying the Antiwear Function of the ZDDP Lubricant Additive by Machine-Learning-Informed Molecular Dynamics
2026
·
Enrico Pedretti
, Francesca Benini
, et al.
·
ACS Applied Materials & Interfaces
Phosphorus-based lubricant additives on iron with Machine Learning Interatomic Potentials
2025
·
Restuccia, Paolo
, Pedretti, Enrico
, et al.
·
Università degli Studi di Bologna
Unraveling the Pathways of Tribochemical Reactions Involving the ZDDP Lubricant Additive by Machine-Learning-Informed Molecular Dynamics
2025
·
Pedretti, Enrico
, Benini, Francesca
, et al.
·
AMS Acta (University of Bologna)
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Works count:
18
Citation count:
63
H-index:
5
I10-index:
2
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