Smart sampling for optimized materials: A Gaussian process framework for region-of-interest active learning

Authors

Claudio Rossi (ORCID: https://orcid.org/0000-0001-6032-1015)
M. Jonckheere
C. Rossi
L.Carreira A. Esteve

Publication Details

Journal: Materials Today Communications
Published: 2026-01-21
DOI: https://doi.org/10.1016/j.mtcomm.2026.114705
Primary Topic: Gaussian Processes and Bayesian Inference
Type: article
Field-Weighted Citation Impact: 0.00

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article

Smart sampling for optimized materials: A Gaussian process framework for region-of-interest active learning

Claudio Rossi, M. Jonckheere, C. Rossi, L.Carreira A. Esteve

Jan 21, 2026

Materials Today Communications

Gaussian Processes and Bayesian Inference

article

Smart sampling for optimized materials: A Gaussian process framework for region-of-interest active learning

Claudio Rossi, M. Jonckheere, C. Rossi, L.Carreira A. Esteve

January 21, 2026article en

Abstract

No abstract available for this paper.

Materials Today CommunicationsVol. 51

Openalex Percentile: Top 83%

Gaussian Processes and Bayesian Inference

DOI Open Access PDF OpenAlex

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Smart sampling for optimized materials: A Gaussian process framework for region-of-interest active learning — Claudio Rossi, M. Jonckheere, et al. · Materials Today Communications (2026) | TGRS Research Map | TGRS