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			<depositor_name>Institute for Advanced Materials Research Press</depositor_name>
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				<full_title>Journal of Computational and Data-Driven Materials Engineering</full_title>
				<abbrev_title>J. Comput. Data-Driven Mater. Eng.</abbrev_title>
				<issn>3149-9368</issn>
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				<publication_date>
					<year>2026</year>
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					<volume>5</volume>
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				<issue>1</issue>
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					<title>Neural Scaling Laws for Materials Property Databases: Theoretical Analysis of Power-Law Exponents from Data Redundancy</title>
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								<contributors>
          					<person_name sequence="first" contributor_role="author">
            <given_name>Diego</given_name>
            <surname>Morales</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Andres</given_name>
            <surname>Gutierrez</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Lucia</given_name>
            <surname>Navarro</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Pablo</given_name>
            <surname>Rios</surname>
					</person_name>
          				</contributors>
								<publication_date>
					<year>2026</year>
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