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researcher

Francesca Tavazza

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci3
ORCID 0000-0002-5602-180X

identity via Semantic Scholar / OpenAlex

activity
20212023
most citedRapid Prediction of Phonon Structure and Properties using an Atomistic Line Graph Neural Network (ALIGNN)

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cond-mat.mtrl-sci2023

Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison

Francesca Tavazza, Kamal Choudhary, Brian DeCost

The development of large databases of material properties, together with the availability of powerful computers, has allowed machine learning (ML) modeling to become a widely used…

cond-mat.mtrl-sci2022★ 1 cited

Rapid Prediction of Phonon Structure and Properties using an Atomistic Line Graph Neural Network (ALIGNN)

Ramya Gurunathan, Kamal Choudhary, Francesca Tavazza

The phonon density-of-states (DOS) summarizes the lattice vibrational modes supported by a structure, and gives access to rich information about the material's stability, thermodyn…

cond-mat.mtrl-sci2021

Bonding characteristics of the interfacial buffer layer in epitaxial graphene via density functional theory

Alana Okullo, Heather M. Hill, Albert F. Rigosi +3

Monolayer epitaxial graphene is an appropriate candidate for a wide variety of electronic and optical applications. One advantage of growing graphene on the Si face of SiC is that…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.