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Bayesian averaging for ground state masses of atomic nuclei in a Machine Learning approach

Research article (Frontiers in Physics, 2023) · cited 12× · AI/ML
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Bayesian averaging for ground state masses of atomic nuclei in a Machine Learning approach

Summary

Bayesian averaging for ground state masses of atomic nuclei in a Machine Learning approach is a scholarly article[1].

Key Facts

  • Bayesian averaging for ground state masses of atomic nuclei in a Machine Learning approach's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Bayesian averaging for ground state masses of atomic nuclei in a Machine Learning approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/bayesian-averaging-for-ground-state-masses-of-atomic-nuclei-in-a-machine-learning-approach
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BibTeX @misc{4ortxyz_bayesian-averaging-for-ground-state-masses-of-atomic-nuclei-in-a-machine-learning-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bayesian averaging for ground state masses of atomic nuclei in a Machine Learning approach}}, year = {2026}, url = {https://4ort.xyz/entity/bayesian-averaging-for-ground-state-masses-of-atomic-nuclei-in-a-machine-learning-approach}, note = {Accessed: 2026-05-24}}
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