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Computational theories of learning
This research paper, authored by Disha (2025), introduces a novel theoretical framework titled Computational Theories of Learning, which seeks to unify cognitive science, artificial intelligence, and mathematical computation into a coherent understanding of how learning emerges, evolves, and self-optimizes within dynamic environments.openaire +1 more source
Nuclear effective field theory: Status and perspectives
Reviews of Modern Physics, 2020Hans-Werner Hammer +2 more
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A new era of cancer immunotherapy: converting theory to performance
Ca-A Cancer Journal for Clinicians, 1999Steven A Rosenberg
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Theory-guided design of catalytic materials using scaling relationships and reactivity descriptors
Nature Reviews Materials, 2019Zhi-Jian Zhao, Sihang Liu, Shenjun Zha
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Computational predictions of energy materials using density functional theory
Nature Reviews Materials, 2016Anubhav Jain +2 more
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Social evolution theory for microorganisms
Nature Reviews Microbiology, 2006Stuart West +2 more
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Combining Wave Function Methods with Density Functional Theory for Excited States
Chemical Reviews, 2018Soumen Ghosh +2 more
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