activity
20212026
most citedTempering of Au nanoclusters: capturing the temperature-dependent competition among structural motifs

29 citations · 54 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2026

Grain boundary evolution in nanoparticles

Manoj Settem, Pranav Kumar, Ajeet K. Srivastav

Grain boundary evolution is a key dynamical process that enables structural rearrangements in nanoparticles and drives them towards low energy configurations. Grain boundaries can…

cond-mat.mtrl-sci2026

Structural Chart of Copper-Silver Nanoalloys through machine learning

Manoj Settem, Emanuele Telari, Antonio Tinti +2

Nanoalloys (or alloy nanoparticles) are an important class of materials that are promising for their functional properties. However, designing synthesis protocols to control their…

physics.comp-ph2024★ 1 cited

Inherent structural descriptors via machine learning

Emanuele Telari, Antonio Tinti, Manoj Settem +10

Finding proper collective variables for complex systems and processes is one of the most challenging tasks in simulations, which limits the interpretation of experimental and simul…

cond-mat.mtrl-sci2023★ 24 cited

Structural transformations in Cu, Ag, and Au metal nanoclusters

Manoj Settem, Cesare Roncaglia, Riccardo Ferrando +1

Finite-temperature structures of Cu, Ag, and Au metal nanoclusters are calculated in the entire temperature range from 0 K to melting using a computational methodology that we prop…

cond-mat.mtrl-sci2023

Charting nanocluster structures via convolutional neural networks

Emanuele Telari, Antonio Tinti, Manoj Settem +3

A general method to obtain a representation of the structural landscape of nanoparticles in terms of a limited number of variables is proposed. The method is applied to a large dat…

physics.atm-clus2021★ 29 cited

Tempering of Au nanoclusters: capturing the temperature-dependent competition among structural motifs

Manoj Settem, Riccardo Ferrando, Alberto Giacomello

A computational approach to determine the equilibrium structures of nanoclusters in the whole temperature range from 0 K to melting is developed. Our approach relies on Parallel Te…