MENENTUKAN ENTROPI PADA PERISTIWA SOLVASI LITIUM HEKSAFLUOROFOSFAT DAN ETILEN KARBONAT DI DALAM SISTEM ENSEMBEL DENGAN JUMLAH PARTIKEL, VOLUME DAN ENERGI SEBAGAI VARIABEL KONTROL
DOI:
https://doi.org/10.22437/jop.v10i3.45615Keywords:
entropi, distribusi Boltzmann, simulasi MC, rantai MarkovAbstract
Tujuan penelitian adalah mencari variabel entropi. Akhir dari peristiwa simulasi Monte Carlo (MC) adalah tercapainya kesetimbangan termodinamika, yaitu saat entropi sistem mencapai nilai maksimum. Ketika entropi sistem maksimum maka distribusi probabilitas Boltzmann dapat diturunkan sehingga kita mendapat faktor Boltzmann. Penurunan faktor Boltzmann tersebut diambil dari variabel entropi dengan cara memaksimumkan variabel entropi tersebut. Entropi didefinisikan sebagai ukuran ketidakteraturan atau keacakan sistem. Sistem akan cenderung menuju keadaan dengan entropi maksimum. Pada saat garam berinteraksi dengan pelarut maka terjadi peristiwa solvasi dan peristiwa ini akan menyebabkan molekul-molekul secara acak. Pada simulasi MC dengan algoritma Metropolis, keseimbangan termal dapat dihubungkan dengan keadaan stasioner rantai Markov ketika mencapai keseimbangan termal maka didapatkan hasil untuk 2 atom yaitu litium dan karbon maka pada langkah yang ke-10.000, nilai entropi dengan nilai dan energi rata-rata adalah . Dengan penambahan atom oksigen maka entropi bernilai dan energi rata-rata adalah . Dengan demikian terlihat bahwa ada kenaikan entropi dan energi rata-rata jika atom oksigen ditambahkan. Entropi yang didefinisikan sebagai ukuran ketidakteraturan atau keacakan sistem akan semakin meningkat jika atom ditambahkan begitu pula dengan energi rata-rata.
Downloads
References
Bharat Raj Pant , Yao Ren, Ye Cao, Dendrite Growth and Dead Lithium Formation in Lithium Metal Batteries and Mitigation Using a Protective Layer: A Phase-Field Study, ACS Appl Mater Interfaces, 2024, doi: 10.1021/acsami.4c08605.
Evan Walter, Ronald Kam, Daniel Barter, Xiaowei Xie Toward a Mechanistic Model of Solid–Electrolyte Interphase Formation and Evolution in Lithium-Ion Batteries
Guangsheng Xu, Mingxi Jiang, Jinliang Li, Xiaoyang Xuan, Machine learning-accelerated discovery and design of electrode materials and electrolytes for lithium ion batteries. Energy Storage Materials, 2024, https://doi.org/10.1016/j.ensm.2024.103710
Hanson R.M, Green S. Introduction to Molecular Thermodynamics. University Science Books, 2008
Jamil Hossain, Gorakh Pawar, Boryann Liaw, Kevin Gering, Lithium-electrolyte solvation and reaction in the electrolyte of a lithium ion battery: A ReaxFF reactive force field study J Chem Phys. 2020. doi: 10.1063/5.0003333
Jianxin Tian, Taiping Hu, Shenzhen Xu, Rui Wen, Molecular dynamics simulations of the Li-ion diffusion in the amorphous solid electrolyte interphase. Chinese Chemical Letters 2023, https: //doi.org/ 10.1016/ j.cclet.2023.108242
Jorn, R.; Kumar, R.; Abraham, D. P.; Voth, G. A., Atomistic Modeling of the Electrode–Electrolyte Interface in Li-Ion Energy Storage Systems: Electrolyte Structuring. J. Phys. Chem. C 2013.
Kai Chen, Gang Huang , Jin-Ling Ma, Jin Wang Angew, The Stabilization Effect of CO2 in Lithium–Oxygen/CO2 Batteries Chem. Int. Ed. 2020, 59, 16661– 16667 doi.org/10.1002/anie.202006303
Koutarou Aoyagi, Minoru Otani, Molecular Dynamics Simulations of Lithium Ion Battery Anode Interface in Battery Charging Process. 2019, doi: 10.1149 /MA2019-01/40/1952
Mabrouk, N. Safaei, F. Hanke, J. M. Carlsson, D. Diddens, Heuer, Reactive molecular dynamics simulations of lithium-ion battery electrolyte degradation, Scientific Reports 2024. https://doi.org/10.1038/s41598-024-60063-0
Masia, M.; Probst, M.; Rey, R., Ethylene Carbonate−Li : A Theoretical Study of Structural and Vibrational Properties in Gas and Liquid Phases. J. Phys. Chem. B 2004.
Mcquarrie, D.A. Statistical Mechanics. Univ Science Books, 1st edition, 2000
Navaratnarajah Kuganathan, DFT Modelling of Li6SiO4Cl2 Electrolyte Material for Li-Ion Batteries. Department of Materials, Faculty of Engineering, Imperial College
London, 2022, https://doi.org/10.3390/batteries8100137
Ngaderman H, Sinaga E, 2024. Identification Of The Interaction Of Lithium Hexafluorophosphate Salt And Ethylene Carbonate (Ec) Solvent In Lithium Ion Battery Redox Events Using Classical Molecular Dynamics (Md) Simulation. Jurnal Neutrino:Jurnal Fisika dan Aplikasinya, Vol. 16, No. 2, April 2024 (p.60-70).
Prateek Kumar Jha, 2023. Advanced Thermodynamics and Molecular Simulations. Department of Chemical Engineering, IIT Roorkee, India.
R appé, A. K.; Casewit, C. J.; Colwell, K.; Goddard III, W.; Skiff, W., Uff, a Full Periodic Table Force Field for Molecular Mechanics and Molecular Dynamics Simulations. J. Am. Chem. Soc. 1992.
R appé, A.; Colwell, K.; Casewit, C., Application of a Universal Force Field to Metal Complexes. Inorg. Chem. 1993.
Saul Perez-Beltran, Dacheng Kuai, Perla B. Balbuena, SEI Formation and Lithium-Ion Electrodeposition Dynamics in Lithium Metal Batteries via First-Principles Kinetic Monte Carlo Modeling. https://pubs.acs.org/ doi/10.1021/acsenergylett.4c02019. ACS Energy Letters 2024
Simon, Chiara Panosetti, Maria Voronenko, Dario Mauth, Accessing Structural, Electronic, Transport and Mesoscale Properties of Li-GICs via a Complete DFTB Model with Machine-Learned Repulsion Potential. Materials (Basel). 2021. doi: 10.3390/ma14216633.
Srivajawaty Sinaga, Hubertus Ngaderaman, Kezia Anou, Simulasi Reaksi Antara Kation Litium dan Anion Heksafluorofosfat dengan Pelarut Ethylene Carbonate menggunakan Potensial Lennard Jones 12-6. JoP, Vol.10 No.1, November 2024: 43 – 54, ISSN: 2502-2016
Sophie Kantonen, Hari Muddana, Michael Schauper, Data-Driven Mapping of Gas-Phase Quantum Calculations to General Force Field Lennard-Jones Parameters. J Chem Theory Comput. 2020, doi:10.1021/acs.jctc.9b00713.
Sun, H., Compass: An Ab Initio Force-Field Optimized for Condensed-Phase Applicationsoverview with Details on Alkane and Benzene Compounds. J. Phys. Chem. B 1998.
Zhang, Solid electrolyte interphase in lithium-ion batteries: A review. Electrochimica Acta, 2022.
Zhu G, Liang P, Huang CL, Huang CC, Li YY, Wu SC, Li J, Wang F, Tian X, Huang WH, High-Capacity Rechargeable Li/Cl(2) Batteries with Graphite Positive Electrodes. Am Chem Soc. 2022. doi: 10.1021/jacs.2c07826.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Hubertus Ngaderman, Ego Srivajawaty Sinaga

This work is licensed under a Creative Commons Attribution 4.0 International License.





