Advances in Lithium Recovery from Primary and Secondary Sources.
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| Title: | Advances in Lithium Recovery from Primary and Secondary Sources. |
|---|---|
| Authors: | Kim, Jihye1 (AUTHOR) jihyekim@mines.edu, Powell, Adam2 (AUTHOR), Peng, Hong3 (AUTHOR), Botelho Junior, Amilton Barbosa4,5 (AUTHOR) |
| Source: | JOM: The Journal of The Minerals, Metals & Materials Society (TMS). Feb2026, Vol. 78 Issue 2, p1146-1149. 4p. |
| Subjects: | Lithium industry, Electric vehicles, Green technology, Microstructure, Clean energy, Artificial intelligence, Separation (Technology), Solvents |
| Abstract: | This topic aims to provide a comprehensive overview of the current state-of-the-art technologies for lithium recovery from primary and secondary sources, while emphasizing key challenges and potential directions for advancing this rapidly evolving field. Lithium has emerged as one of the most critical metals driving revolutions in clean energy technologies. The surging demand for lithium, largely driven by the widespread adoption of electric vehicles, has intensified efforts to identify alternative sources and develop innovative recovery methods. Recent advancements have demonstrated significant progress in extracting lithium from unconventional sources, including consumer waste streams, industrial byproducts, and emerging natural resources. Notable breakthroughs include the adoption of environmentally sustainable chemical agents, such as ionic liquids and deep eutectic solvents, replacing traditional inorganic acids with high carbon footprints. Furthermore, innovations in thermal treatments, novel additives, and advanced separation techniques have contributed to the sustainable and economical recovery of lithium. In the meantime, the integration of computation modeling, supported by artificial intelligence and machine learning, has significantly improved our understanding of the material–structure–property–process relationships that govern lithium extraction and recovery. Advances in characterization techniques have further unveiled critical insights into microstructures, molecular-level interactions, and mechanisms underpinning both established and emerging lithium recovery processes. [ABSTRACT FROM AUTHOR] |
| Copyright of JOM: The Journal of The Minerals, Metals & Materials Society (TMS) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 190888658 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Advances in Lithium Recovery from Primary and Secondary Sources. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kim%2C+Jihye%22">Kim, Jihye</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jihyekim@mines.edu</i><br /><searchLink fieldCode="AR" term="%22Powell%2C+Adam%22">Powell, Adam</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Peng%2C+Hong%22">Peng, Hong</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Botelho+Junior%2C+Amilton+Barbosa%22">Botelho Junior, Amilton Barbosa</searchLink><relatesTo>4,5</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22JOM%3A+The+Journal+of+The+Minerals%2C+Metals+%26+Materials+Society+%28TMS%29%22">JOM: The Journal of The Minerals, Metals & Materials Society (TMS)</searchLink>. Feb2026, Vol. 78 Issue 2, p1146-1149. 4p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Lithium+industry%22">Lithium industry</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+vehicles%22">Electric vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Green+technology%22">Green technology</searchLink><br /><searchLink fieldCode="DE" term="%22Microstructure%22">Microstructure</searchLink><br /><searchLink fieldCode="DE" term="%22Clean+energy%22">Clean energy</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Separation+%28Technology%29%22">Separation (Technology)</searchLink><br /><searchLink fieldCode="DE" term="%22Solvents%22">Solvents</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This topic aims to provide a comprehensive overview of the current state-of-the-art technologies for lithium recovery from primary and secondary sources, while emphasizing key challenges and potential directions for advancing this rapidly evolving field. Lithium has emerged as one of the most critical metals driving revolutions in clean energy technologies. The surging demand for lithium, largely driven by the widespread adoption of electric vehicles, has intensified efforts to identify alternative sources and develop innovative recovery methods. Recent advancements have demonstrated significant progress in extracting lithium from unconventional sources, including consumer waste streams, industrial byproducts, and emerging natural resources. Notable breakthroughs include the adoption of environmentally sustainable chemical agents, such as ionic liquids and deep eutectic solvents, replacing traditional inorganic acids with high carbon footprints. Furthermore, innovations in thermal treatments, novel additives, and advanced separation techniques have contributed to the sustainable and economical recovery of lithium. In the meantime, the integration of computation modeling, supported by artificial intelligence and machine learning, has significantly improved our understanding of the material–structure–property–process relationships that govern lithium extraction and recovery. Advances in characterization techniques have further unveiled critical insights into microstructures, molecular-level interactions, and mechanisms underpinning both established and emerging lithium recovery processes. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of JOM: The Journal of The Minerals, Metals & Materials Society (TMS) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11837-025-08036-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 4 StartPage: 1146 Subjects: – SubjectFull: Lithium industry Type: general – SubjectFull: Electric vehicles Type: general – SubjectFull: Green technology Type: general – SubjectFull: Microstructure Type: general – SubjectFull: Clean energy Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Separation (Technology) Type: general – SubjectFull: Solvents Type: general Titles: – TitleFull: Advances in Lithium Recovery from Primary and Secondary Sources. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kim, Jihye – PersonEntity: Name: NameFull: Powell, Adam – PersonEntity: Name: NameFull: Peng, Hong – PersonEntity: Name: NameFull: Botelho Junior, Amilton Barbosa IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10474838 Numbering: – Type: volume Value: 78 – Type: issue Value: 2 Titles: – TitleFull: JOM: The Journal of The Minerals, Metals & Materials Society (TMS) Type: main |
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