Materials science applications of Neutron Depth Profiling at the PGAA facility of Heinz Maier-Leibnitz Zentrum

Trunk, Markus; Wetjen, Morten; Werner, Lukas; Gernhäuser, R.; Märkisch, Bastian; Révay, Zs.; Gasteiger, Hubert A.; Gilles, Ralph

doi:10.1016/j.matchar.2018.09.030

Cited by 22 publications

(44 citation statements)

References 24 publications

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“…All signals are cut at a depth of about 5.7 mg•cm −2 , which is the maximum depth limit for detection of 3 H charged particles in this setup. The inflection point, which resembles the anode-Cu current collector interphase [29], is situated around 6.0 ± 0.7 mg•cm −2 and lies outside of the detection range. In the bulk regime (0.5-3 mg•cm −2 ), a homogenous Li distribution was observed, indicating a homogenous distribution of the SEI.…”

Section: Sei Growth Phenomenamentioning

confidence: 88%

“…All depth profiles reveal a similar shape. An increase of lithium is detected at the anode surface, i.e., the anode-separator interphase, which might arise from surface orientation aspects or from direct lithium accumulations [29]. In deeper anode regions (>3 mg•cm −2 ) the signal decreased, resembling the Gaussian shape of the NDP detection response function.…”

Section: Sei Growth Phenomenamentioning

confidence: 91%

“…Lithium immobilized in the SEI was revealed by detecting the energy of the 3 H particle of the 6 Li(n, 3 H) 4 He reaction. As described by Trunk et al [29], the lithium depth profiles were extracted from the NDP energy spectra using the SRIM software [41] taking into account the Kapton ® separation foil and the composition of the pristine graphite anodes. The lithium depth profiles are shown in Figure 2.…”

Section: Sei Growth Phenomenamentioning

confidence: 99%

“…Comparison of the measured capacity losses during cycling and lithium immobilization losses driven by SEI growth via NDP, are presented in Figure 4. NDP detection range was corrected via Gaussian extrapolation as described in previous studies [29]. For precise analysis, the active lithium loss of the exemplary cell series studied post mortem (Figure 3c,d) was compared to the averaged active lithium loss signals (Figure 3a,b) arising from the analysis of all cycled cells at the respective assembly mode, formation rate and cycling rate.…”

Section: Sei Growth Phenomenamentioning

confidence: 99%

“…Comparison of the measured capacity losses during cycling and lithium immobilization losses driven by SEI growth via NDP, are presented in Figure 4. NDP detection range was corrected via Gaussian extrapolation as described in previous studies [29]. Lithium immobilization lay at similar levels for all formation and cycling rates, and increased with cycling analogous to the total irreversible capacity loss signals.…”

Section: Sei Growth Phenomenamentioning

confidence: 99%

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SEI Growth Impacts of Lamination, Formation and Cycling in Lithium Ion Batteries

et al. 2020

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The accumulation of solid electrolyte interphases (SEI) in graphite anodes related to elevated formation rates (0.1C, 1C and 2C), cycling rates (1C and 2C), and electrode-separator lamination is investigated. As shown previously, the lamination technique is beneficial for the capacity aging in graphite-LiNi1/3Mn1/3Co1/3O2 cells. Here, surface resistance growth phenomena are quantified using electrochemical impedance spectroscopy (EIS). The graphite anodes were extracted from the graphite NMC cells in their fully discharged state and irreversible accumulations of lithium in the SEI are revealed using neutron depth profiling (NDP). In this post-mortem study, NDP reveals uniform lithium accumulations as a function of depth with lithium situated at the surface of the graphite particles thus forming the SEI. The SEI was found to grow logarithmically with cycle number starting with the main formation in the initial cycles. Furthermore, the EIS measurements indicate that benefits from lamination arise from surface resistance growth phenomena aside from SEI growth in superior anode fractions.

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Section: Sei Growth Phenomenamentioning

confidence: 88%

Section: Sei Growth Phenomenamentioning

confidence: 91%

Section: Sei Growth Phenomenamentioning

confidence: 99%

Section: Sei Growth Phenomenamentioning

confidence: 99%

“…Comparison of the measured capacity losses during cycling and lithium immobilization losses driven by SEI growth via NDP, are presented in Figure 4. NDP detection range was corrected via Gaussian extrapolation as described in previous studies [29]. Lithium immobilization lay at similar levels for all formation and cycling rates, and increased with cycling analogous to the total irreversible capacity loss signals.…”

Section: Sei Growth Phenomenamentioning

confidence: 99%

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SEI Growth Impacts of Lamination, Formation and Cycling in Lithium Ion Batteries

et al. 2020

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Unraveling the Role and Impact of Alumina on the Nucleation and Reversibility of β‐LiAl in Aluminum Anode Based Lithium‐Ion Batteries

Wells,

Pham,

Eshetu

et al. 2024

ChemElectroChem

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Aluminum, due to its high abundance, very attractive theoretical capacity, low cost, low (de−) lithiation potential, light weight, and effective suppression of dendrite growth, is considered as a promising anode candidate for lithium‐ion batteries (LIBs). However, its practical application is hindered due to multiple detrimental challenges, including the formation of an amorphous surface oxide layer, pulverization, and insufficient lithium diffusion kinetics in the α‐phase. These outstanding intrinsic challenges need to be addressed to facilitate the commercial production of Al‐based batteries. The native passivation layer, Al2O3, plays a critical role in the nucleation and reversibility of lithiating aluminum and is thoroughly investigated in this study using high precision electrochemical micro calorimetry. The enthalpy of crystallization of β‐LiAl is found to be 40.5 kJ mol−1, which is in a strong agreement with the value obtained by calculation using Nernst equation (40.04 kJ mol−1). Surface treatment of the active material by the addition of 25 nm of alumina increases the nucleation energy barrier by 83 % over the native oxide layer. After the initial nucleation, the added alumina does not negatively impact the reversibility at 0.1 C rate, suggesting the removal of alumina is not necessary for improving the cyclability of aluminum anode based lithium‐ion batteries. Moreover, the coulombic efficiencies are also found to be slightly higher in the alumina treated samples compared to the untreated ones.

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Prompt-Gamma Activation Analysis and Its Application to Cultural Heritage

Kasztovszky

Stieghorst

Chen-Mayer

et al. 2022

Handbook of Cultural Heritage Analysis

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Materials science applications of Neutron Depth Profiling at the PGAA facility of Heinz Maier-Leibnitz Zentrum

Cited by 22 publications

References 24 publications

SEI Growth Impacts of Lamination, Formation and Cycling in Lithium Ion Batteries

SEI Growth Impacts of Lamination, Formation and Cycling in Lithium Ion Batteries

Unraveling the Role and Impact of Alumina on the Nucleation and Reversibility of β‐LiAl in Aluminum Anode Based Lithium‐Ion Batteries

Prompt-Gamma Activation Analysis and Its Application to Cultural Heritage

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