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Record W2345208135 · doi:10.1149/ma2016-01/4/400

Thermophysical Properties of LiFePO<sub>4</sub>: DFT+U Computations Combined with a Thermodynamically Self-Consistent (TSC) Method

2016· article· en· W2345208135 on OpenAlexaffabout
Ali Seifitokaldani, Aïmen E. Gheribi, M. Dolle, Patrice Chartrand

Bibliographic record

VenueECS Meeting Abstracts · 2016
Typearticle
Languageen
FieldChemistry
TopicAdvanced Physical and Chemical Molecular Interactions
Canadian institutionsPolytechnique MontréalUniversité de Montréal
Fundersnot available
KeywordsThermodynamicsDensity functional theoryHeat capacityMaterials scienceGround stateDebyeDebye modelAb initioStatistical physicsChemistryPhysicsComputational chemistryCondensed matter physicsAtomic physicsQuantum mechanics

Abstract

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Introduction LiFePO 4 (LFP) was proposed by Padhi et al. 1 in 1997 as a promising cathode material for Li-ion batteries and very soon became the center of attention for researchers and industries in energy fields. Nowadays, it is commercialized and available in mass production through different methods. A lot of improvements in terms of material and production process have been achieved since its nascence. Nevertheless, our thermodynamic knowledge about LFP is limited to handful experimental works 2 on heat capacity and few computational studies 3 to estimate elastic properties at ground state condition. Enlarging our knowledge about thermophysical properties of LFP such as elastic properties, Debye temperature, heat capacity and also thermal expansion at higher temperatures is a crucial key to expand the thermodynamic information, and consequently to answer the arising questions about phase equilibrium in production process. Methodology Here, we present the abovementioned thermophysical properties of LFP in a wide range of temperature by Density Functional Theory (DFT) and a new Thermodynamically Self-Consistent ( TSC) method 4 . The TSC method is, in summary, an extension of the quasi-harmonic approximation (QHA) satisfying the Maxwell relations and thus ensuring thermodynamic consistency. For future, we assay the effect of vacancy and also elemental substitution on thermophysical and electrochemical properties of LFP. Computational Details. We use Vienna ab initio Simulation Package (VASP) 5 to address our aim. Projected Augmented Wave (PAW) approach 6 and the General Gradient Approximation (GGA) of Perdew, Burke and Ernzerhof (PBE) 7 are used to represent the electron-ion core and electron-electron interactions, respectively. The Hubbard U correction to the GGA (GGA+U) equal to 5.3 eV for Fe in oxide systems is employed to address a correct band structure and binding energies. Our results indicate that, a cut-off energy of 520 eV and 3×4×5 Γ-centered k-points grid in first Brillouin zone with a Gaussian smearing parameter σ of 0.02 eV ensure the accuracy in energy of the system to be more than 0.01 meV. Acknowledgement. The authors would like to thank the Natural Science and Engineering Research Council of Canada (NSERC) for the financial support awarded to this project as part of the Automotive Partnership Canada (APC) program. References 1. Padhi, A. K.; Nanjundaswamy, K. S.; Goodenough, J. B., Phospho‐olivines as Positive‐Electrode Materials for Rechargeable Lithium Batteries. Journal of The Electrochemical Society 1997, 144 (4), 1188-1194. 2. (a) Loos, S.; Gruner, D.; Abdel-Hafiez, M.; Seidel, J.; Hüttl, R.; Wolter, A. U. B.; Bohmhammel, K.; Mertens, F., Heat capacity (Cp) and entropy of olivine-type LiFePO4 in the temperature range (2 to 773) K. The Journal of Chemical Thermodynamics 2015, 85 (0), 77-85; (b) Nanda, J.; Martha, S. K.; Porter, W. D.; Wang, H.; Dudney, N. J.; Radin, M. D.; Siegel, D. J., Thermophysical properties of LiFePO4 cathodes with carbonized pitch coatings and organic binders: Experiments and first-principles modeling. Journal of Power Sources 2014, 251 (0), 8-13. 3. (a) Maxisch, T.; Ceder, G., Elastic properties of olivine LixFePO4 from first principles. Physical Review B 2006, 73 (17), 174112; (b) Shang, S. L.; Wang, Y.; Mei, Z. G.; Hui, X. D.; Liu, Z. K., Lattice dynamics, thermodynamics, and bonding strength of lithium-ion battery materials LiMPO4 (M = Mn, Fe, Co, and Ni): a comparative first-principles study. Journal of Materials Chemistry 2012, 22 (3), 1142-1149. 4. (a) Seifitokaldani, A.; Gheribi, A. E., Thermodynamically self-consistent method to predict thermophysical properties of ionic oxides. Computational Materials Science 2015, 108, Part A (0), 17-26; (b) Gheribi, A. E.; Seifitokaldani, A.; Wu, P.; Chartrand, P., An ab initio method for the prediction of the lattice thermal transport properties of oxide systems: Case study of Li2O and K2O. Journal of Applied Physics 2015, 118 (14), 145101. 5. Kresse, G.; Hafner, J., Ab initio molecular dynamics for liquid metals. Physical Review B 1993, 47 (1), 558-561. 6. Blöchl, P. E., Projector augmented-wave method. Physical Review B 1994, 50 (24), 17953-17979. 7. Perdew, J. P.; Burke, K.; Ernzerhof, M., Generalized Gradient Approximation Made Simple [Phys. Rev. Lett. 77, 3865 (1996)]. Physical Review Letters 1997, 78 (7), 1396-1396.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.689

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.225
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2016
Admission routes2
Has abstractyes

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