Advancing our understanding of optoionic effects for the design of solar batteries: a theoretical perspective
Optoionics, a promising new field that aims at controlling ion dynamics using light, links photovoltaic power generation with electrochemical charge storage. This has the potential to drive and accelerate the energy revolution by utilizing materials that integrate the functionality of batteries and...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2025-01-01
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| Series: | JPhys Materials |
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| Online Access: | https://doi.org/10.1088/2515-7639/adeaec |
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| author | Matteo Rinaldi Matthias Kick Karsten Reuter Christian Carbogno |
| author_facet | Matteo Rinaldi Matthias Kick Karsten Reuter Christian Carbogno |
| author_sort | Matteo Rinaldi |
| collection | DOAJ |
| description | Optoionics, a promising new field that aims at controlling ion dynamics using light, links photovoltaic power generation with electrochemical charge storage. This has the potential to drive and accelerate the energy revolution by utilizing materials that integrate the functionality of batteries and photovoltaic cells. Finding, optimizing, and customizing these materials is a complex task, though. Computational modeling can play a crucial role in guiding and speeding up such developments, particularly when the acting atomic mechanisms are not well understood. This does however require expertise in various areas, including advanced electronic-structure theory, machine learning, and multi-scale approaches. In this perspective, we shed light on the intricacies of modeling optoionic effects for solar battery materials. We first discuss the underlying physical and chemical mechanisms, as well as the computational tools that are available to date for describing these processes. Furthermore, we discuss the limits of these approaches and identify key challenges that need to be tackled to advance this field. |
| format | Article |
| id | doaj-art-0bca110d881b4f4d90518e3a6065a10c |
| institution | Matheson Library |
| issn | 2515-7639 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | JPhys Materials |
| spelling | doaj-art-0bca110d881b4f4d90518e3a6065a10c2025-07-16T09:14:39ZengIOP PublishingJPhys Materials2515-76392025-01-018303100310.1088/2515-7639/adeaecAdvancing our understanding of optoionic effects for the design of solar batteries: a theoretical perspectiveMatteo Rinaldi0https://orcid.org/0000-0001-9837-8383Matthias Kick1https://orcid.org/0000-0003-3408-9886Karsten Reuter2https://orcid.org/0000-0001-8473-8659Christian Carbogno3https://orcid.org/0000-0003-0635-8364Fritz-Haber-Institut der Max-Planck-Gesellschaft , Faradayweg 4-6, 14195 Berlin, GermanyFritz-Haber-Institut der Max-Planck-Gesellschaft , Faradayweg 4-6, 14195 Berlin, GermanyFritz-Haber-Institut der Max-Planck-Gesellschaft , Faradayweg 4-6, 14195 Berlin, GermanyFritz-Haber-Institut der Max-Planck-Gesellschaft , Faradayweg 4-6, 14195 Berlin, GermanyOptoionics, a promising new field that aims at controlling ion dynamics using light, links photovoltaic power generation with electrochemical charge storage. This has the potential to drive and accelerate the energy revolution by utilizing materials that integrate the functionality of batteries and photovoltaic cells. Finding, optimizing, and customizing these materials is a complex task, though. Computational modeling can play a crucial role in guiding and speeding up such developments, particularly when the acting atomic mechanisms are not well understood. This does however require expertise in various areas, including advanced electronic-structure theory, machine learning, and multi-scale approaches. In this perspective, we shed light on the intricacies of modeling optoionic effects for solar battery materials. We first discuss the underlying physical and chemical mechanisms, as well as the computational tools that are available to date for describing these processes. Furthermore, we discuss the limits of these approaches and identify key challenges that need to be tackled to advance this field.https://doi.org/10.1088/2515-7639/adeaecoptoionic effectsolar battery materialfirst-principles calculationsmachine-learning methodsmulti-scale models |
| spellingShingle | Matteo Rinaldi Matthias Kick Karsten Reuter Christian Carbogno Advancing our understanding of optoionic effects for the design of solar batteries: a theoretical perspective JPhys Materials optoionic effect solar battery material first-principles calculations machine-learning methods multi-scale models |
| title | Advancing our understanding of optoionic effects for the design of solar batteries: a theoretical perspective |
| title_full | Advancing our understanding of optoionic effects for the design of solar batteries: a theoretical perspective |
| title_fullStr | Advancing our understanding of optoionic effects for the design of solar batteries: a theoretical perspective |
| title_full_unstemmed | Advancing our understanding of optoionic effects for the design of solar batteries: a theoretical perspective |
| title_short | Advancing our understanding of optoionic effects for the design of solar batteries: a theoretical perspective |
| title_sort | advancing our understanding of optoionic effects for the design of solar batteries a theoretical perspective |
| topic | optoionic effect solar battery material first-principles calculations machine-learning methods multi-scale models |
| url | https://doi.org/10.1088/2515-7639/adeaec |
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