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G. Deffrennes

7 papers hereh-index 10248 citations23 works total

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

author position
  • first author4
  • middle author1
  • last author1

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci7

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedA machine learning-based classification approach for phase diagram prediction

46 citations · 92 across the 7 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cond-mat.mtrl-sci2022★ 28 cited

Tin (Sn) at high pressure: review, X-ray diffraction, DFT calculations, and Gibbs energy modeling

Guillaume Deffrennes, Philippe Faure, François Bottin +2

An assessment of the Sn unary system is presented. First, the literature on phase equilibria, the thermodynamic properties, the volume and related properties, and shock compression…

cond-mat.mtrl-sci2022

On models to describe the volume in the context of establishing high-pressure Gibbs energy databases

Guillaume Deffrennes, Jean-Marc Joubert, Benoit Oudot

High-pressure Gibbs energy approaches are promising for establishing multi-component thermodynamic databases. However, so far, they have often been considered unsuccessful, because…

cond-mat.mtrl-sci2022★ 46 cited

A machine learning-based classification approach for phase diagram prediction

Guillaume Deffrennes, Kei Terayama, Taichi Abe +1

Knowledge of phase diagrams is essential for material design as it helps in understanding microstructure evolution during processing. The determination of phase diagrams is thus on…

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