Data-Driven Exploration of Na–Bi Compounds: A First-Principles and Machine Learning Approach to Topological Thermoelectrics

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-23
DOI
https://doi.org/10.5281/zenodo.15499220
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
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article

Data-Driven Exploration of Na–Bi Compounds: A First-Principles and Machine Learning Approach to Topological Thermoelectrics

Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Materials Science
article

Data-Driven Exploration of Na–Bi Compounds: A First-Principles and Machine Learning Approach to Topological Thermoelectrics

article en

Abstract

No abstract available for this paper.
Zenodo (CERN European Organization for Nuclear Research)
Alfaisal University (SA)
Industry, innovation and infrastructure
Openalex Percentile: Top 61%
Machine Learning in Materials Science
DOIOpen Access PDFOpenAlex
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Data-Driven Exploration of Na–Bi Compounds: A First-Principles and Machine Learning Approach to Topological Thermoelectrics · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS