1 Introduction

Mobile autonomous microelectronic devices are already indispensable to our daily life. Applications based on wireless radio-frequency identification devices (RFID) have reached a high degree of sophistication and pervasiveness, ranging from smart cards and tracking devices to advanced medical technologies. Significant issues and limitations are hitherto related to powering the RFID devices [1]. Besides the possibility of energy harvesting, e.g., via photovoltaic cells or by using the interrogation RF radiation itself, the most commonly used power sources are batteries [2, 3]. In the case of microelectronics, the use of lithium-ion batteries requires miniaturized integrated units. Lithium-ion (micro-)batteries with solid electrolytes can be prepared via high temperature processing techniques; they are, however, limited in power density [4,5,6,7,8]. Alternatively, one may consider miniaturized batteries with liquid electrolytes [9, 10]; these systems may provide pulsed currents as high as 100 mA cm−2.

Independent from the electrolyte used, the high power capability of a battery relies on the fast transport of lithium ions through its various components. Indeed, owing to the small ionic radius and low mass of lithium ions they tend to diffuse in many materials, including silicon. The corresponding diffusion coefficient values span over many orders of magnitude. Lithium ion transport by diffusion, even in minute quantities, represents a permanent risk for the functioning and reliability of semiconductor products. If contaminated with lithium ions from the battery region, the whole device is expected to suffer damage. Furthermore, if directly integrated on a chip, the loss of Li+ through diffusion across the boundaries of a battery would cause an irreversible decrease of the charge capacity. Therefore, when placing a lithium-ion battery onto a semiconductor substrate an efficient barrier is needed to prevent the mobile Li ions to diffuse into the regions outside the battery. In particular, this prevention is of high importance if the housing material is identical with the active material [11]. This combination occurs whenever Si is used as both the negative electrode [12] and the housing material, i.e., the battery is directly encapsulated into the Si wafer on which the microelectronics device is also realized.

There are three types of possible diffusion barriers [13]. (i) The first and most important group is called a passive diffusion barrier. Materials constituting such a barrier are chemically inert with respect to both sides of the diffusion couple, that is, the host material (Si) and the diffusing species (Li+). (ii) The second group can be specified as stuffed barrier systems; stuffing the interfacial regions with other atoms or molecules can greatly reduce the diffusivity of other species. Tungsten-titanium alloys (W–Ti), sometimes with N2 as stuffing agent, are usually used in microelectronic device fabrication to prevent diffusion of, e.g., Cu. (iii) The third group is based on sacrificial materials; the barrier layer, such as titanium, is sacrificed to prevent the reaction of Li with Si. The function of this type of barrier is limited in lifetime because it consumes Li ions and thus reduces the capacity of a battery.

Earlier studies focused on adequate barriers for solid-state systems rather than lithium-ion batteries relying on liquid electrolytes [10]. Virtually no experimental information is available about what would be best suited for on-chip Li-ion microbatteries. Depending on the characteristics of a given battery, the barrier has to satisfy certain requirements in terms of effectiveness, producibility, i.e., implementation, and lifetime. The overall ion dynamics of a microbattery with Li+ as charge carrier, meaning both the desired and undesired transport phenomena as well as the underlying reaction kinetics, strongly depends on the materials chosen to construct the battery and to encapsulate it. As it has been shown by Notten et al. [14], TiN and TaN turned out to be promising blocking materials. Cyclic voltammetry has revealed that nitrides seem to be indeed electrochemically stable against Li metal. We know from semiconductor industry that W–Ti is an excellent barrier with respect to in-diffusion of Cu ions. To our knowledge, there is, however, no information available about its ability to block Li ion diffusion effectively.

Here we evaluated the properties of Ta, TaN, TiN and a W–Ti alloy to act as barriers in miniaturized Si-based lithium-ion batteries having a liquid electrolyte. The barrier materials were characterized electrochemically using cyclic voltammetry and time-of-flight secondary ion mass spectroscopy (ToF SIMS) depth profiling, in particular.

2 Experimental

2.1 Sample preparation

Boron doped (100) Si with a nominal resistivity of 8 mΩ cm was used as substrate. The substrates were cleaned and thinned to 400 µm. A copper current collector was applied to the backside via sputtering (see Fig. 1) Ta, TaN, and TiN as well as a tungsten–titanium alloy with an atomic ratio W:Ti of 80:20 respectively were used as potential barrier layers. These layers were deposited with PVD-sputter equipment and had a thickness of 50 nm. The sputtering base pressure was less than approximately 3 × 10−7 mbar, with an argon or argon/nitrogen process gas flow for reactive sputtering. The procedure is described in Table 1 in more detail.

Fig. 1
figure 1

Setup of the Li ion half-cell used to test the blocking property of several barrier layers. The barrier layer (50 nm in thickness) is shown in green; it was placed on top of the Si electrode (400 µm, grey). Backside: sputtered Cu layer (1 µm in thickness, yellow color), between this thin Cu layer and the cathode piston a Cu foil (orange) secures electrical contact. The whole system was placed in a stainless steel Swagelok®-type cell. See text for further explanation. (Color figure online)

Full size image
Table 1 Processing parameters used for the deposition of the barrier layers (W–Ti, TiN, TaN and Ta) with a TRIKON “Sigma fxP PVD” sputtering tool
Full size table

Mechanical as well as structural properties of the barrier layers deposited were investigated with a film stress measurement according to Stoney Eq. [15] using an MX-NT bow measurement tool (Eichhorn Hausmann GmbH, Karlsruhe). This method is commonly employed in semiconductor industry to characterize deposited layers by measuring the wafer bow caused by internal layer stress. To characterize the bulk behavior of the materials, cross sections of the samples were prepared with a FEI Vion™ Plasma focused ion beam (FIB) system or simply by breaking the sample. Scanning electron microscopy (SEM) pictures were taken with a S-5200 Ultra-High Resolution Hitachi FE SEM. For all experiments round samples with a diameter of 12 mm were used. These samples were obtained from the 8-inch wafers by mechanical drilling.

2.2 Electrochemical testing

Electrochemical cells were assembled inside an Argon filled glove box. Water and oxygen impurity levels were kept below 1 ppm. All samples, namely bare Si as well as the Si samples with barrier layers, were mounted as working electrode in stainless steel Swagelok® cells. In the two-electrode cell setup used, a lithium metal disc (12 mm in diameter, 380 µm in thickness) with a copper current collector foil (12 mm in diameter, 20 µm in thickness) was used as counter electrode. A stack of 12 layers of separator discs (8 mm in diameter, total thickness of 2 mm, Freudenberg 2190) saturated with 80 µL of electrolyte solution (1 M LiPF6 in EC:EMC 3:7) was positioned between the electrodes. The final configuration of the whole stack is shown in Fig. 1.

Cyclic voltammetry (CV) measurements were carried out using a VMP3 instrument (BioLogic Science Instruments). The cells were charged and discharged galvanostatically between 1.5 and 0.05 V versus Li/Li+. The CV measurements of the barrier samples were performed at a scan rate of 30 µV s−1.

2.3 Electrochemical Li ion stressing

The Swagelok® cell was connected to a Maccor Series 4000 automated test system. Table 2 displays the various steps of the Maccor program to charge and discharge the cells. Charging experiments were done with at least four samples investigated in parallel whereas all of them were prepared from the same wafer. The samples were carefully chosen in order to avoid scratches of the barrier layers which often occurred because of the mechanical sample cutting process.

Table 2 Test program (12 steps altogether) to study the samples with Li-ion blocking barriers on a MACCOR battery tester
Full size table

An initial 12 h rest step was used to ensure homogeneous saturation of the separator with electrolyte. Then an initial reducing current I of 140 µA was applied while an additional condition was used to limit the voltage across the cell to 20 mV. When the voltage limit is reached the initially constant current is lowered so that the voltage limitation is obeyed. A voltage limitation of 20 mV avoided the growth of lithium dendrites at the surface. In the case of an ideal barrier a final value I = 0 would be expected while the voltage across the cell would stay at 20 mV. This step was limited to 1 h. Another rest step ensured equilibration of the cell. After that another charging step (attempted lithiation through the barrier layer) was performed (6 h, 5 mAh). The subsequent discharging step (I max = 140 µA, upper voltage limitation of 1 V) complements the formation procedure. The procedure applied ensured a homogeneous formation of the solid electrolyte interface (SEI) [16]. Furthermore, it represents a standardized sequence allowing for a reasonable comparison with the reference sample using silicon without any barrier material.

The main part of the Li stressing procedure begins with step 8; the steps 8–10 were repeated ten times. The sample was again exposed to a current of maximum 712 µA up with a limitation in voltage of 20 mV for 6 h, i.e., until 5 mAh was reached. Subsequently, a discharging step with a voltage limitation of 1 V was applied. By analyzing the overall charge capacity, information on the performance of the barrier can be gathered. After the stressing procedure the cells were allowed to rest for 24 h, then they were disassembled; after that the samples were washed with diethyl carbonate solvent and dried. All electrochemical tests were carried out at a temperature of 22 °C.

Depth profiles. Li depth profiles were observed by means of secondary ion mass spectroscopy with a time-of-flight detector from ION-TOF GmbH (Münster, Germany). In Table 3 the measurement parameters for the barrier investigations are summarized.

Table 3 ToF-SIMS measurement conditions for the barrier investigations in positive ion measurement mode at room temperature
Full size table

Fitting. The Li profile in the W–Ti barrier was fitted via a numerical analysis following the Crank-Nicolson method; the diffusion coefficient was optimized via the Levenberg–Marquardt algorithm [17]. Assuming a thin film as Li source the initial condition for non-steady state diffusion in x dimension is given by

$$c\left( {x,t} \right)=M \times \delta \left( x \right)~~{at~}~t~=~0$$

M denotes the number of diffusion particles per area and δ(x) represents the Dirac delta function. If the diffusion source is deposited initially onto the sample surface and diffuses into bulk material the solution of the underlying diffusion equation is

$$c\left( {x,t} \right)=\frac{M}{{\sqrt {\pi Dt} }}{{\text e}^{ - \frac{{{x^2}}}{{4Dt}}}}$$
(1)

In case that at t = 0 the diffusing species has an initial distribution with c = c 0 for x < 0 and c = 0 for x > 0 it can be interpreted as continues distribution of an instantaneous, planar source. The solution can be thought as the integral of all infinitesimal planes resulting from the spatial distribution of the diffusing species. With introduction of the complementary error function the diffusion equation is given by

$$c\left( {x,t} \right)={c_0}~{\text{erfc}~}\left( {\frac{x}{{2\sqrt {Dt} }}} \right)$$
(2)

3 Results and discussion

Figure 2 shows SEM cross-sections of the three barrier materials as deposited. For all materials investigated, a homogeneous coverage with a thickness of 50 nm was achieved. The W–Ti layer showed maximal roughness of R a = 2.5 nm. The other layers are characterized by smaller R a values being below the sensitivity of the profilometer used. Figure 1a shows the TaN barrier deposited, for which polycrystalline structure could be identified from SEM. The microstructure of TiN is depicted in Fig. 1b whereas the W–Ti alloy layer (Fig. 1c) shows a more pronounced columnar structure. Such columnar microstructures might provide efficient pathways for the lithium ions near the grain boundaries deteriorating the respective properties of the barrier.

Fig. 2
figure 2

SEM cross-sections of a the TaN layer (50 nm in thickness) revealing a microcrystalline structure, b the TiN layer (50 nm) and c the W–Ti alloy layer (50 nm in thickness)characterized by a columnar structure. The barriers were deposited on a (100) oriented silicon substrate

Full size image

The surface stress of the barrier layers was determined by wafer bow measurements and evaluated by means of the Stoney equation as mentioned above. Measurements of the stress of the layers lead to pressure values ranging from +3.2 × 108 to −1.9 × 109 Pa (see Table 4). High positive (tensile stress) or negative (compressive stress) values indicate a high concentration of dislocations or defects introduced during the deposition process [18]. Consequently, this might lead to reduced performance of the barrier. Whereas W–Ti and TiN showed compressive stress, TaN exhibited values pointing to tensile stress.

Table 4 Summary of the structural and mechanical properties of the barrier layers tested
Full size table

3.1 Cyclic voltammetry

To determine the electrochemical activity of the barrier materials cyclic voltammetry (Fig. 3) measurements between 50 mV and 1.5 V versus Li/Li+ were carried out. The two refractory metal nitrides (cf. the curves drawn in black and blue color) showed no distinct peaks up to 1.5 V. This points to a sufficiently high electrochemical stability of the corresponding surfaces. On the other hand, for the tungsten titanium alloy (see the red curve in Fig. 3) two shallow reduction peaks were detected. As no corresponding oxidation reaction can be determined at the step speed of 30 µV s−1 applied, a CV measurement with increased scan rate was performed: peaks showed up at 0.37 and 0.65 V, respectively; moreover, an oxidation peak was detectable. In contrast to the nitride, the pure metallic tantalum revealed two pronounced reduction peaks and a broad oxidation peak directly pointing to lithiation and de-lithiation of the barrier. It is worth to mention that in both cases the voltage difference between oxidation and reduction peak is relatively large pointing to slow charge transfer kinetics; the peak current ratio, being much larger than one, as well as the dependence of the peak current on the scan rate points to irreversible processes taking place [19].

Fig. 3
figure 3

Cyclic voltammograms of the Li ion test cells equipped with the four barrier materials tested. The scan rate was 30 µ Vs−1; in each case the voltammograms show the 3rd cycle. The inset displays the cyclic voltammograms for W–Ti recorded at an increased scan rate of 1 m Vs−1. See text for further details

Full size image

3.2 Charging/discharging

To evaluate the efficiency of the barrier materials to block Li ion migration across the different layers the materials were subjected to charge/discharge tests in Si-based batteries. We used the standardized battery cycling program mentioned above. The capacities referring to charging and discharging the cells were recorded as a function of cycle number. Figure 4 shows the change of the current (a) and the voltage (b) of the test cells (see step 8 of Table 2). At a process time of 121 h a charging current of 712 µA was applied with a maximum allowed decrease in voltage of 20 mV. For all samples the limit in current could not be reached and the 20 mV threshold applied limits the corresponding currents. After another 6 h the discharging step was started with the potential limited to 1 V. The silicon sample remained at this potential for several hours before relaxation to the open circuit voltage (OCV) took place. Although the samples with the barriers revealed very small voltage drops, their electrical relaxation behavior turned out to be differently. After the final charge/discharge cycle a 24-h rest step was applied after which all samples reached their OCVs.

Fig. 4
figure 4

Illustration of the voltage response after the 8th charging/discharging cycle of the Li cells; a current and b voltage profiles as a function of time. See text for further explanation

Full size image

Figure 5 shows the charge and the discharge capacities of the cells with the barriers as well as those of the reference cell without any barrier. The (charge) capacities directly correspond to the efficiency of the barrier materials tested. The lower the capacities measured the more efficient the barrier is, i.e., the more effectively the barrier blocks Li ion transfer. The reference cell without any barrier layer (Si, see right axis of Fig. 5) served to illustrate the blocking effect of the barriers. The cell having no barrier inside shows a continuous increase in capacity during cycling finally reaching values of ca. 235 µAh cm−2 (cycle no. 10). Upon discharge (see the dotted line) a very similar behavior is seen although the corresponding capacities are slightly lower (216 µAh cm−2). This difference can be explained by a partially irreversible uptake of Li ions by silicon as well as the formation of the passivating SEI [20]. Mechanical destruction, i.e., detachment of lithiated silicon could also lead to irreversible capacity losses. All cells equipped with barriers showed charging capacities below 9 × 10−3 µAh cm−2 (see left axis in Fig. 5), i.e., almost two orders of magnitude lower than the charge capacity of the cell without any barrier. Generally speaking, expect for the W–Ti and Ta system the barriers are able to block Li ion transport but there are noteworthy differences.

Fig. 5
figure 5

Charge and discharge capacities (see left axis) of the cells equipped with the barriers investigated (Ta, TaN, TiN, W–Ti) that should block lithiation of Si. The cell without any barrier is shown for comparison, too (see the capacities on the right axis). The lines represent guides to the eye. Note the huge difference in charge capacities indicated by the two axis

Full size image

Despite its columnar microstructure the best performance in terms of any ability to block Li ion transfer was observed for the TiN barrier (see Fig. 2b). In the first cycle the capacity observed under charging conditions shows a larger irreversible value as compared to the other cycles. This behavior can be explained by the formation of a passivating layer that consumes some electrolyte, conductive salt and, thus, lithium ions. It is, thus, not necessarily related to the efficiency of the barrier. Most likely, the composition of the layer formed cannot be compared with the SEI at Si surfaces [21]. The corresponding discharge curve of the cell equipped with TiN reveals a capacity being lower than 1 × 10−3 µAh cm−2; because of the restrictions in sensitivity of the test equipment used; the limit was 75 nA, thus, very low currents cannot be determined with high precision. The capacity of a TiN layer is supposed to depend linearly on the layer thickness, for TiN values of 0.02 Li per formula were calculated [14]. Here, considering the discharge capacity experimentally a value of 0.002 Li atoms per TiN formula unit was found which is significantly lower than the calculated result (see Table 5). The value corresponding to the charge capacity turned out to be only slightly higher (0.003 Li). The difference points to some irreversible loss of Li at the barrier. These ions might reduce the efficiency of the blocking layer.

Table 5 Charge and discharge capacities (average values) and Li uptake per formula unit
Full size table

Cells with Ta and TaN show higher capacities while the discharge capacities are, at least for TaN, again below the detection limit. Once again some amount of Li was irreversibly consumed during charging. In both cases the charge capacity slightly increases when the cells are cycled for more than three times. We found that during charging the Li uptake of Ta is ca. 0.09 Li, this value is in good agreement with literature data [14]. During discharging the value reduces to 0.02 Li per Ta. Thus, we assume that the charging-discharging procedure is only partially reversible affecting the overall efficiency of the barrier. For TaN, values of 0.05 Li per TaN (charging) and 0.009 Li (discharging) were found.

Compared to the other barrier layers W–Ti shows the highest charge and discharge capacities. Also in this case an irreversible redox reaction took place. Up to 25% of the charge carriers can be reversibly stored in the cell with a W–Ti barrier. Therefore, W–Ti seems to be an inadequate barrier in lithium-ion batteries; the uptakes for Li per formula unit are 0.15 (charging) and 0.04 (discharging), respectively.

Mass Spectrometry. Time of flight-secondary ion mass spectroscopy is a powerful tool to determine diffusion profiles in thin (<1 µm) layers. Most importantly, measurement artifacts have to be carefully excluded. For example, the roughness of the surface may broaden interfaces. Another more problematic measurement failure is the so-called tailing caused by ion mixing during sputtering [22]. To distinguish which profile originates from diffusion and which one stems from ion mixing comparative measurements on samples with a non-diffusive component are necessary. An inherent behavior of a silicon surface being in contact with an electrolyte is the SEI formation. The SEI is a mixture of organic and inorganic components. Especially for organic components diffusion into the layer material can be regarded as negligible. Therefore, such components can be used as an internal reference to study and to rule out the influence of ion mixing.

There is still another artefact known for its high impact for measurements of positively charged secondary ions. Because of the positive charge of the primary ions the analyte is pushed deeper into the bulk material. In particular, this is the case when one deals with an electric isolator, as TaN is. An increasing signal at the subsequent interface gives a hint to this phenomenon. In the next section we will present the results of ToF SIMS experiments on samples which were electrochemically charged and discharged for 10 cycles.

In the case of TaN (see Fig. 6a) a high intensity for Li+ and CHF+, which represents the SEI layer, can be found at the beginning, see the sputter time up to 40 s. While the Si signal is negligible the intensity for the barrier layer Ta+ continuously increases and reaches a plateau at 180 s. A sputter period of approximately 140 s corresponds to the 50-nm thick TaN layer. In general, each material each material behaves differently which makes a correct depth calibration almost impossible.

Fig. 6
figure 6

ToF-SIMS depth profile of layers of a TaN, (50 nm) b the W–Ti alloy (50 nm) and c TiN (50 nm) deposited on a silicon substrate (100 nm)

Full size image

Note that the Li+ intensity remains on a relatively high level in the region of the TaN barrier; this behavior has, most probably, ascribed to the artefact described above and seems to be caused by the low conductivity of TaN. A slight peak at the silicon interface can be noticed before the Li+ signal decreases to the noise level. The slope of the Li+ signal at about 50 s is very similar to that of the signal corresponding to the SEI, which reached the noise level shortly after the Ta signal has reached its plateau regime. The observations indicates that the barrier material seems to effectively block Li ion transport. Thus, ToF SIMS indeed gives evidence that TaN might be used as a suitable barrier.

For the TiN barrier (see Fig. 6c) we observed a sharp drop of both the Li+ signal and the SEI signal after ca. 30 s; simultaneously a rise of the Ti+ signal is seen. This drop points to a narrow interface region. The Li+ level in the barrier is significantly lower compared to the situation seen for TaN. Most likely, this difference has to be ascribed to the different conductivities of the two barrier materials; the electrical resistance is 20 µΩcm for TiN and 135 µΩcm for TaN, respectively. Based on the ToF-SIMS traces we identify both TaN and TiN, in particular, as relatively dense barrier materials.

For W–Ti (see Fig. 6b) the ToF-SIMS signal for Li+ behaves quite different compared to tantalum nitride (Fig. 6a) and titanium nitride (Fig. 6c). We noticed that the signal does not follow the SEI signal in shape; in particular, the slopes of the two signals differ at the beginning. Most importantly, the Li+ signal does not reach the noise level neither in the barrier nor in the region of bulk silicon.

For the Ta layer our CV experiments indicate that Ta reacts with Li. After the electrochemical test procedure the surface showed planar dendrites. The visualization of the ion signal of our ToF SIMS experiments (cf. Fig. 7a) also reveals that tantalum electrochemically reacts with Si as a high silicon concentration could be determined. From the corresponding ToF-SIMS depth profile shown in Fig. 7b it can, thus, be concluded that Ta is not a suitable barrier since it reacts with both parts of the diffusion couple.

Fig. 7
figure 7

a The sputter crater after ToF-SIMS measurement and ion distribution of Si (green), Ta (red) and Li (blue). b ToF-SIMS measurement of the initial tantalum layer (left) and the transformed tantalum layer (right). (Color figure online)

Full size image

To quantify Li in-diffusion for the W–Ti layer in Fig. 8 the smoothed Li profile determined via ToF-SIMS (see black line) is plotted. For comparison, the profiles obtained by approximating the signal with a Gaussian solution of Fick′s second law (see red line) as well as the complementary error function (see blue line) is also shown. As expected, the experimentally probed Li ion diffusion profile cannot be approximated by these functions properly. They represent profiles with ideal boundary conditions. Several origins may explain the deviation from, e.g., an ideal Gaussian profile. For instance, the ToF-SIMS measurement itself might lead to a distorted shape of the signal as mentioned above. Moreover, the charge/discharge loop used to simulate battery conditions is another source of trouble. During each discharge step Li ions are pulled back leaving areas depleted in Li behind. Hence, the Li profile becomes steeper as one would expect for a pure bulk diffusion process. The fits shown in Fig. 8 were used to roughly estimate the underlying diffusion coefficients. The two functions shown are characterized by the following values D = 1.6 × 10−19 cm2 s−1 (error function) and D = 2.2 × 10−19 cm2 s−1 (Gaussian function), respectively. Taken together, in contrast to TaN and TiN the results for W–Ti clearly show that it is not a suitable barrier to block lithium ion migration in silicon-based microbatteries. For comparison, Li self-diffusion in amorphous Li1.5Si prepared electrochemically has to be characterized by D values in the order of 10−9 cm2 s− 1 [23].

Fig. 8
figure 8

Comparison of the ToF-SIMS depth profile of Li diffusion in W–Ti alloy with two solutions of Fick′s law. For comparison, the solid lines represent profiles according to Eqs. (1) and (2), see above. Both profiles, although considerably different from the experimental response, suggest that the diffusion coefficient is in the order of 10−19 cm2 s−1

Full size image

4 Conclusions

For the development of integrated lithium-ion batteries for Si-based devices the encapsulation of the active battery components is mandatory. Tantalum, tantalum nitride, titanium nitride as well as a tungsten titanium alloy were tested for their capability to serve as efficient barriers against Li-ion in-diffusion. By means of Swagelok cell assemblies the barrier materials were electrochemically stressed and characterized. The suppression of Li diffusion and reaction with the help of these barriers was determined with cyclic voltammetry and ToF-SIMS, in particular.

Although used as barrier against Cu in-diffusion, here electrochemical tests and ToF-SIMS showed that the W–Ti alloy layer with a thickness of 50 nm does not serve as a reasonable barrier to protect the device from Li ion contamination. The corresponding coefficient estimated from SIMS was in the order of 2 × 10−19 cm2 s−1. In the case of tantalum, electrochemical activity with lithium was clearly revealed; therefore, it is also not suitable to act as barrier material. TiN and TaN layers (50 nm), on the other hand, were identified as promising barriers for lithium-based microbatteries with Si anodes. The current results and findings presented may enable the integration of such miniaturized batteries as power supplies for microelectromechanical systems in single crystalline silicon.