Inaugural editorial for discover metals

We are pleased to introduce Discover Metals , an international, peer-reviewed open-access journal published by Springer Nature, dedicated to disseminating research across all fields related to metallic materials and its application. The journal is a continuation and expansion of the journal Gold Bulletin , also from Springer Nature. By re-launching Discover Metals , we aim to expand its scope and to provide a welcoming, inclusive home for studies covering the full range of metals research: from fundamental theory and advanced characterization to manufacturing, performance, and engineering practice.

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Publication Details

Published
2026-06-16
DOI
https://doi.org/10.1007/s13404-026-00373-5
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
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Inaugural editorial for discover metals

Qing‐qiang Ren, Jax Jiang
Machine Learning in Materials Science
article

Inaugural editorial for discover metals

Qing‐qiang Ren, Jax Jiang
article en

Abstract

We are pleased to introduce Discover Metals , an international, peer-reviewed open-access journal published by Springer Nature, dedicated to disseminating research across all fields related to metallic materials and its application. The journal is a continuation and expansion of the journal Gold Bulletin , also from Springer Nature. By re-launching Discover Metals , we aim to expand its scope and to provide a welcoming, inclusive home for studies covering the full range of metals research: from fundamental theory and advanced characterization to manufacturing, performance, and engineering practice.

Vol. 59(1)
Oak Ridge National Laboratory (US), Springer Nature (United Kingdom) (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
Machine Learning in Materials Science
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