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Conversion of Natural Biowaste into Energy Storage Materials and Estimation of Discharge Capacity through Transfer Learning in Li-Ion Batteries

To simultaneously reduce the cost of environmental treatment of discarded food waste and the cost of energy storage materials, research on biowaste conversion into energy materials is ongoing. This work employs a solid-state thermally assisted synthesis method, transforming natural eggshell membrane...

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Autores principales: Nanthagopal, Murugan, Mouraliraman, Devanadane, Han, Yu-Ri, Ho, Chang Won, Obregon, Josue, Jung, Jae-Yoon, Lee, Chang Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674660/
https://www.ncbi.nlm.nih.gov/pubmed/37999316
http://dx.doi.org/10.3390/nano13222963
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author Nanthagopal, Murugan
Mouraliraman, Devanadane
Han, Yu-Ri
Ho, Chang Won
Obregon, Josue
Jung, Jae-Yoon
Lee, Chang Woo
author_facet Nanthagopal, Murugan
Mouraliraman, Devanadane
Han, Yu-Ri
Ho, Chang Won
Obregon, Josue
Jung, Jae-Yoon
Lee, Chang Woo
author_sort Nanthagopal, Murugan
collection PubMed
description To simultaneously reduce the cost of environmental treatment of discarded food waste and the cost of energy storage materials, research on biowaste conversion into energy materials is ongoing. This work employs a solid-state thermally assisted synthesis method, transforming natural eggshell membranes (NEM) into nitrogen-doped carbon. The resulting NEM-coated LFP (NEM@LFP) exhibits enhanced electrical and ionic conductivity that can promote the mobility of electrons and Li-ions on the surface of LFP. To identify the optimal synthesis temperature, the synthesis temperature is set to 600, 700, and 800 °C. The NEM@LFP synthesized at 700 °C (NEM 700@LFP) contains the most pyrrolic nitrogen and has the highest ionic and electrical conductivity. When compared to bare LFP, the specific discharge capacity of the material is increased by approximately 16.6% at a current rate of 0.1 C for 50 cycles. In addition, we introduce innovative data-driven experiments to observe trends and estimate the discharge capacity under various temperatures and cycles. These data-driven results corroborate and support our experimental analysis, highlighting the accuracy of our approach. Our work not only contributes to reducing environmental waste but also advances the development of efficient and eco-friendly energy storage materials.
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spelling pubmed-106746602023-11-16 Conversion of Natural Biowaste into Energy Storage Materials and Estimation of Discharge Capacity through Transfer Learning in Li-Ion Batteries Nanthagopal, Murugan Mouraliraman, Devanadane Han, Yu-Ri Ho, Chang Won Obregon, Josue Jung, Jae-Yoon Lee, Chang Woo Nanomaterials (Basel) Article To simultaneously reduce the cost of environmental treatment of discarded food waste and the cost of energy storage materials, research on biowaste conversion into energy materials is ongoing. This work employs a solid-state thermally assisted synthesis method, transforming natural eggshell membranes (NEM) into nitrogen-doped carbon. The resulting NEM-coated LFP (NEM@LFP) exhibits enhanced electrical and ionic conductivity that can promote the mobility of electrons and Li-ions on the surface of LFP. To identify the optimal synthesis temperature, the synthesis temperature is set to 600, 700, and 800 °C. The NEM@LFP synthesized at 700 °C (NEM 700@LFP) contains the most pyrrolic nitrogen and has the highest ionic and electrical conductivity. When compared to bare LFP, the specific discharge capacity of the material is increased by approximately 16.6% at a current rate of 0.1 C for 50 cycles. In addition, we introduce innovative data-driven experiments to observe trends and estimate the discharge capacity under various temperatures and cycles. These data-driven results corroborate and support our experimental analysis, highlighting the accuracy of our approach. Our work not only contributes to reducing environmental waste but also advances the development of efficient and eco-friendly energy storage materials. MDPI 2023-11-16 /pmc/articles/PMC10674660/ /pubmed/37999316 http://dx.doi.org/10.3390/nano13222963 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nanthagopal, Murugan
Mouraliraman, Devanadane
Han, Yu-Ri
Ho, Chang Won
Obregon, Josue
Jung, Jae-Yoon
Lee, Chang Woo
Conversion of Natural Biowaste into Energy Storage Materials and Estimation of Discharge Capacity through Transfer Learning in Li-Ion Batteries
title Conversion of Natural Biowaste into Energy Storage Materials and Estimation of Discharge Capacity through Transfer Learning in Li-Ion Batteries
title_full Conversion of Natural Biowaste into Energy Storage Materials and Estimation of Discharge Capacity through Transfer Learning in Li-Ion Batteries
title_fullStr Conversion of Natural Biowaste into Energy Storage Materials and Estimation of Discharge Capacity through Transfer Learning in Li-Ion Batteries
title_full_unstemmed Conversion of Natural Biowaste into Energy Storage Materials and Estimation of Discharge Capacity through Transfer Learning in Li-Ion Batteries
title_short Conversion of Natural Biowaste into Energy Storage Materials and Estimation of Discharge Capacity through Transfer Learning in Li-Ion Batteries
title_sort conversion of natural biowaste into energy storage materials and estimation of discharge capacity through transfer learning in li-ion batteries
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674660/
https://www.ncbi.nlm.nih.gov/pubmed/37999316
http://dx.doi.org/10.3390/nano13222963
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