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			<depositor_name>Institute for Advanced Materials Research Press</depositor_name>
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		<registrant>Institute for Advanced Materials Research Press</registrant>
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		<journal>
			<journal_metadata>
				<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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			<journal_issue>
				<publication_date>
					<year>2024</year>
				</publication_date>
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					<volume>3</volume>
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				<issue>1</issue>
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				<titles>
					<title>Benchmarking Practices for ML Interatomic Potentials: A Critical Review of Methodological Pitfalls and What Was Missed (2017–2023)</title>
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								<contributors>
          					<person_name sequence="first" contributor_role="author">
            <given_name>Paolo</given_name>
            <surname>Ricci</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Marco</given_name>
            <surname>De Luca</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Giulia</given_name>
            <surname>Ferraro</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Antonio</given_name>
            <surname>Russo</surname>
					</person_name>
          				</contributors>
								<publication_date>
					<year>2024</year>
				</publication_date>
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