Electrochemical Impedance Spectra Research Articles

Experimental and computational study of imidazole-pyridine and its derivatives as corrosion inhibitors on brass in sulfuric acid solution

Purpose This paper aims to study the corrosion inhibition behavior of imidazopyridine and its three derivatives on brass. Design/methodology/approach The authors performed weight loss experiments, electrochemical experiments including the polarization curve and electrochemical impedance spectrum, corrosion morphology observation using scanning electron microscope (SEM) and atomic force microscope (AFM) and surface composition analysis via X-ray photoelectron spectroscopy (XPS) to analyze the corrosion inhibition behavior of imidazopyridine and its three derivatives on brass by using quantum chemical calculation (Gaussian 09), molecular dynamics simulation (M-S) and Langmuir adsorption isotherm. Findings According to the results, imidazole-pyridine and its derivatives were found to be modest or moderately mixed corrosion inhibitors; moreover, they were spontaneously adsorbed on the metal surface in a single-layer, mixed adsorption mode. Originality/value The corrosion inhibition properties of pyrazolo-[1,2-a]pyridine and its derivatives on brass in sulfuric acid solution were analyzed through weight loss and electrochemical experiments. Moreover, SEM and AFM were simultaneously used to observe the corrosion appearance. Furthermore, XPS was used to analyze the surface. Then, Gaussian 09 and M-S were combined along with the Langmuir adsorption isotherm to investigate the corrosion inhibition mechanism of imidazole-[1,2-a]pyridine and its derivatives.

Tuning of interfacial HGO@CLS nanohybrid S-scheme heterojunction with improved carrier separation and photocatalytic activity towards RhB degradation

Herein, we premeditated and invented the innovative hybrid photocatalyst 2D/2D CuLa2S4 on holey graphene oxide (HGO) (HGO@CLS) via the hydrothermal method. Electrochemical techniques demonstrate the action of HGO in the HGO@CLS photocatalyst as an effective medium for electron transfer. Combining bimetallic sulfides on porous HGO synergistically provides a higher negative conduction band edge (−0.141 V), greater photo response (10.8 mA/cm2), smaller charge transfer resistance (Rct = 1.79Ω), and lower photoluminescence (PL) spectral intensity. According to our research, the catalytic recitals are sped up when HGO is assimilated into CLS photocatalyst hetero-junction. Additionally, it lowers the reassimilation rate due to the combined mesh nanostructures and functionality of CLS and HGO. UV–Vis DRS, Mott-Schottky, PL, and Electrochemical impedance spectra (EIS) results manifested that the CuLa2S4/HGO makes the spatial separation competent and transference of charge carriers due to the photon irradiation and exhibits superior photocatalytic ability. Electron spin resonance (ESR) analysis confirmed that •OH and h+ were the predominant radical species responsible for Rhodamine B(RhB) degradation. Moreover, conceivable degradation ways of RhB were deduced according to the identified intermediates which are responsible for the degradation of recalcitrant products. To check the stability of the photocatalyst, revival tests were also carried out. Similarly, the oxidative byproducts created in the deprivation courses were looked at, and a thorough explanation for the mechanism of degradation was given.

Battery leakage fault diagnosis based on multi-modality multi-classifier fusion decision algorithm

With the rapid development of the new energy vehicle industry and the overall number of electric vehicles, the thermal runaway problem of lithium-ion batteries has become a major obstacle to the promotion of electric vehicles. During actual usage, the battery leakage problem leads to the degradation of the system performance, which may cause arcing, external short circuit or even thermal runaway. Therefore, it is essential to analyze the internal mechanism of electrolyte leakage phenomenon and design the corresponding fault diagnosis algorithm. This work tests the disassembled leaking battery module of the practical vehicle. The incremental capacity analysis of the charging process indicated that the battery had capacity loss, and the voltage signal trend analysis of the discharging process found that the leaking battery had higher voltage difference slope. The detection results based on the electrochemical impedance spectrum (EIS) test corroborate the anomaly internal impedance of the battery. Moreover, an incremental capacity bar graph analysis method based on cloud data is designed and the ohm resistance is calculated by a simplified subspace identification algorithm. On this basis, the threshold alarm information is incorporated to form a feature matrix, and a machine learning fault diagnosis algorithm based on multi-modality multi-classifier fusion decision framework is proposed, which is capable of scoring and quantifying the hazard level of fault types such as electrolyte leakage, and achieve up to 26 days advance warning on cloud-based real-vehicle data.

PbF2–CdF2–SrF2 Ternary Solid Solution: Crystal Growth and Investigation

Crystals based on alkaline earth metal difluorides are widely used optical materials. In this study, in order to expand the range of optical matrices, multicomponent Pb1−x−yCdxSryF2 (0.27 < x < 0.55, 0.06 < y < 0.18) solid solution crystals with a fluorite structure (sp. gr. Fm-3m) were grown from melt using the vertical directional crystallization technique for the first time. The densities and refractive indices of the grown crystals vary depending on the quantitative content components (x and y) in the ranges of 6.6039(5)–7.5232(5) g/cm3 and 1.6403–1.7084, respectively. The optical transmission and electrochemical impedance spectra were studied. The homogenous composition regions of non-cellular crystallization of this ternary solid solution at a crystallization rate of 6 mm/h and an interface temperature gradient of 80 deg/cm were experimentally determined as 0.30 < x < 0.35, 0 < y < 0.6. These grown crystalline materials may be of interest as high-density highly refractive cubic isomorphic hosts and low-temperature ionic conductors (~2 × 10−5 S/cm at room temperature) for various applications.

Plant impedance spectroscopy: a review of modeling approaches and applications.

Electrochemical impedance spectroscopy has emerged over the past decade as an efficient, non-destructive method to investigate various (eco-)physiological and morphological properties of plants. This work reviews the state-of-the-art of impedance spectra modeling for plant applications. In addition to covering the traditional, widely-used representations of electrochemical impedance spectra, we also consider the more recent machine-learning-based approaches.

Suppressing-accelerating effect of Nitrotetrazolium Blue chloride in boosting superconformal cobalt filling

Achieving cobalt superconformal (bottom-up) growth is significantly important. Electrochemical methods, including cyclic voltammetry, electrochemical impedance spectra and EQCM-derived Coulomb-voltage curves, were used to confirm the suppressing influence of new suppressor Nitrotetrazolium Blue chloride (NBT). In situ Raman spectroscopy was used confirm that NBT can effectively adsorb on cobalt surface. Besides, EQCM-derived Coulomb-voltage illustrates that it is more beneficial for cobalt electrodeposition at high pH. The NBT effect on hydrogen evolution reaction (HER) was studied by LSV and chronoamperometry. Finite element simulation is used to investigate the accelerating effect of NBT on HER and convection. Suppressing-accelerating effect is proposed to illustrate effect of NBT. NBT can not only suppress the cobalt deposition but also can accelerate local convection by intensifying HER, which can in turn strengthen NBT adsorption. SEM analysis demonstrates that convection and NBT can refine grain. High-quality cobalt is achieved with low SDT values ranging from 24 μm to 45 μm and high FP values (75.4 % for 150 μm, 88.9 % for 100 μm and 87.2 % for 50 μm).

Electrochemical enhanced heterogeneous activation of peroxymonosulfate by CoFe2O4 nanoparticles to degrade moxifloxacin

The catalytic mechanism of CoFe2O4 nanoparticles (NPs) was investigated in the system of electrochemical enhanced heterogeneous activation of peroxymonosulfate (EC/CoFe2O4/PMS) with moxifloxacin (MOX) as target contaminant. The removal efficiencies of MOX in PMS, CoFe2O4, EC, CoFe2O4/PMS, and EC/CoFe2O4/PMS system were 18.3%, 36.1%, 43.7%, 96.9%, and 98.3%, respectively. Although there was no synergy effect between EC and heterogeneous catalytic oxidation reaction (HCOR) on MOX removal, the value of apparent rate constant (karc) was much higher in EC/CoFe2O4/PMS system (0.24 min−1) compared with CoFe2O4/PMS system (0.13 min−1). Therefore, EC not only kept the structure of CoFe2O4 NPs stable, but also significantly accelerated the reaction rate of HCOR. Meanwhile, according to electrochemical impedance spectra of catalysts synthesized based on ion-substitution strategy and the EC-HCOR experimental results, the decisive role of Co in PMS activation and the electron transfer between Co and Fe were confirmed. The TOC removal efficiency was reached 74.4% as the ratio of PMS to CoFe2O4 NPs being 0.8 mM to 50 mg/L (30 min), and further improved to 87.6% with batch addition (0.25 mM per 30 min) of PMS (120 min, CoFe2O4 = 100 mg/L). The research results could improve the understanding of catalytic mechanism of spinel oxide in electrochemical system.

A comprehensive study on state-of-charge and state-of-health estimation of sodium-ion batteries

Nowadays, sodium-ion batteries (SIBs) are becoming another kind of potential energy storage batteries in the energy storage systems (ESS) with their unique advantages compared with the lithium-ion batteries. The accurate estimation of key battery states, especially state-of-charge (SOC) and state-of-health (SOH), ensures the safe and reliable operation of the ESS. In this paper, complete experimental tests on a commercial SIB are performed, and different SOC and SOH estimation methods of the SIB are compared comprehensively, which provides a basis for the selection of state estimation methods for the SIB. For SOC estimation, the battery is modeled with the third-order equivalent circuit model based on the electrochemical impedance spectra test results, and model parameters are identified by the particle swarm optimization algorithm. Moreover, three real-time model-based estimation algorithms, extended kalman filter, unscented kalman filter, and particle filter are adopted to estimate the SOC of the SIB. For SOH estimation, three health indicators that are strongly correlated with SOH are extracted. Furthermore, three lightweight data-driven estimation algorithms, multiple linear regression, ridge regression, and support vector regression are employed to estimate the SOH of the SIB. Through comprehensive comparison, experimental results indicate that unscented kalman filter and ridge regression are the most suitable algorithms for SOC and SOH estimation of the SIB respectively. Specifically, the mean absolute error (MAE) and root mean squared error (RMSE) of the SOC estimation are lower than 1.2% and 1.6% respectively. Both MAE and RMSE of the SOH estimation are lower than 0.06%. In addition, some unique characteristics of SIBs are found.

High energy density lithium-ion pouch cell with modified high voltage lithium cobalt oxide cathode and graphite anode: Prototype stabilization, electrochemical and thermal study

5G capable smart, lightweight, big-screen portable devices with a long standby time have growing demand as information and network technology developed. Lithium cobalt oxide, LiCoO2 (LCO) cathode material is extensively utilized in the portable electronics industry and needs further improvement. Here, a strategy to develop a high energy and high voltage 2 Ah (Amp-hour) LIBs (lithium-ion batteries) pouch cell is planned and excecated. The observed energy density of the designed cell is ∼248 Wh/kg (∼740 Wh/L) using graphite as a negative electrode and modified high voltage LCO (i.e., Li2CoMn3O8 (lithium cobalt manganese oxide) coated LCO), as a cathode with an areal capacity of ∼4.9 mAh/cm2. The developed pouch cells have cycled at a high rate (1C; up to 1000 cycles) and showed a minimum self-discharge rate (∼0.05% decay per day). An in-situ thermal mapping experiment and corresponding simulation analysis have been performed on the pouch cells at different charge and discharge stages to compare the thermal behavior. Furthermore, the effect of temperature on the SEI/CEI (solid electrolyte interface/cathode electrolyte interface) formation has been investigated by electrochemical impedance spectra (EIS) through MATLAB-based distribution of relaxation times (DRT) tool and understand different micro phenomena. The current approach may help in future generation LCO-based battery development.

Fabrication of g-C3N4@N-doped Bi2MoO6 heterostructure for enhanced visible-light-driven photocatalytic degradation of tetracycline pollutant

An effective catalyst for the removal of antibiotic pollutants which severely impact water bodies and the environment is most favorable. In this study, g-C3N4 (gCN) and nitrogen-doped Bi2MoO6 (gCN-NBM) heterostructures are developed using a solvothermal process with enhanced photocatalytic degradation of tetracycline (TC) pollutants under visible-light irradiation. The experimental results confirm that nitrogen-doped Bi2MoO6 (NBM) nanomaterials were dispersed on the gCN surface, and a close combination of NBM and gCN leads to the efficient photocatalytic performance of TC. The photocatalytic efficiency of the heterostructure catalysts is four-fold higher than those of the pristine Bi2MoO6 catalysts owing to the excellent photogenerated charge separation and reduced recombination rate. Photocurrent measurements and electrochemical impedance spectra results disclose that the prepared heterostructure catalysts exhibit efficient photo-induced charge transfer. The electron spin resonance spectra and quenching experiments results reveal that superoxide radicals (.O2−) play a major role in TC degradation. This study presents a promising approach for designing efficient visible-light photocatalysts for environmental remediation applications.

Investigation of the corrosion behavior of 6082 aluminum alloy in deicing salt

AbstractThe corrosion behavior of 6082 aluminum alloy in deicing salt was investigated by electrochemical impedance spectra combined with an X‐ray diffractometer, scanning electron microscopy, electron backscatter diffraction, and transmission electron microscope. The experiment results showed that the corrosion tendency of 6082 aluminum alloy in deicing salt strongly depends on its different matrix and grain boundary precipitates, which also show the characteristics of transformation during the corrosion process. The Nyquist plot exhibits the characteristics of double capacitive resistance arcs, and the capacitive resistance arcs were affected by corrosion characteristics and corrosion products on aluminum alloy surface. The nucleation and development of pitting and the formation of a passive film were closely related to the Si phase in the 6082 aluminum alloy.

Development of SnCo2O4 spinel supported on the rGO nanosheet with the improved electrochemical performance of OER activity

Alkaline water electrolysis is a promising fuel cell technique that holds the potential for sustainable energy production. This process involves the generation of hydrogen and oxygen gases. Efforts have been focused on creating efficient catalysts utilizing readily available elements for the kinetically challenged process of oxygen evolution reaction (OER). For the enhancement of OER kinetics, we developed the SnCo2O4/rGO (SCO/rGO) nanohybrid via a hydrothermal route for the oxygen evaluation process performed under an alkaline solution (1.0 M KOH). The SCO/rGO exhibited diverse morphology, such as nanoparticles of SCO anchored on the rGO nanosheets that provide greater adsorption surface area for electrolyte ions. The electrocatalyst comprising of SCO/rGO nanohybrid exhibits superior performance compared to its SCO and rGO counterparts, as evidenced by its overpotential of 299 mV at 10 mA cm−2 and impressive durability of 50 h. Furthermore, the SCO/rGO nanohybrid display the lowest Tafel slope of 31.71 mV dec−1 than rGO (58.93 mV dec−1) and SCO (47.31 mV dec−1). Experimental data on active sites and high conductivity can be obtained through electrochemical impedance spectra (EIS) and electrochemical active surface area (ECSA), contributing to improved electrocatalytic results. The hybridization of a metal oxide (MOx) with a carbon derived substance presents a promising initial approach for manufacturing an outstanding catalyst for applications in water electrochemistry.

Mixed polymerization approach to GO-derived carbon foil-supported porous SiO2/C random nanocomposite films for Li-ion battery anodes with extraordinarily enhanced capacities by cycle-dependent size-reduction effect

As starting materials, tetraethyl orthosilicate, resorcinol and formaldehyde were used to prepare a distinctive composite film of SiO2/C two-phase interpenetrated porous nanostructures on the surface of carbon foil ((SiO2/C)@Cf) when the mixed polymerizations (condensations) on the surface of graphene oxide and subsequent heat treatment were carefully manipulated. The microstructures of as-prepared films were characterized by FESEM, TEM, EDS element mapping, BET, etc and their charging/discharging behaviors and electrochemical impedance spectra were quantitatively analyzed. It has been found that (SiO2/C)@Cf shows extraordinary capacity enhancement featured with excellent cycling capacity and rate performance as anode materials of Li-ion batteries, such as 1274 mAh g−1 after 2000 cycles at 1 A g−1 and 463.5 mAh g−1 at 5 A g−1, in comparison with the layered SiO2/C composite films. More interestingly, the CV curves of (SiO2/C)@Cf before and after 2000 cycles of charge/discharge evidently shows a remarkable initial pseudo-capacitive capacity and its unusual enhancement with increasing number of cycles, which should be attributed to the small size effect of SiO2 domains embedded in carbon phase and their gradual refinement, leading to an increase in the effective electrochemical reaction area and apparent diffusivity of Li-ions.

CuS Nanoparticles Modified ZnO/CdS Dual Direct Z-type Heterostructure Nanocomposite for Efficient Visible-Light Photocatalytic Degradation RhB

The low-temperature hydrothermal and water bath methods are used to manufacture CuS@ZnO/CdS catalyst. The Rhodamine B degradation rate constant of CuS@ZnO/CdS is around 1.53 × 10−2 min−1, which is 3.9 times greater than that of ZnO. The coupling of CdS and loading of CuS onto ZnO surfaces were evaluated using XRD, SEM, TEM, and XPS. SEM demonstrated that 5 mg of CdS was the most effective in controlling the shape of ZnO nanoflakes. Ultraviolet-visible absorption (UV–vis) and Photoluminescence (PL) spectra reveal that CdS and CuS decreased the bandgap of ZnO and boosted its ability to absorb visible light. Transient photocurrent response (TPR) and electrochemical impedance spectra (EIS) display that CdS and CuS facilitate the quick separation of photoexcited carriers in ZnO. Notably, the optimal weight ratio of CuS was determined to be 15%, since excessive amounts of CuS would operate as recombination centers and cover active sites. Additionally, the dual Z-scheme carriers movement mechanism was proposed using sacrificed agent experiments, and TOC analyzed the mineralization rate of RhB after degradation. In this study, CuS@ZnO/CdS photocatalyst degraded RhB nearly 99% in 80 min, which is superior to the earlier photocatalysts. Therefore, this article holds great significance in the practical application of metal chalcogenide-modified ZnO-based photocatalysts with superior visible light-induced degradation performance in environmental purification.

Analysis of Impedance Spectra of a Lithium Electrode by the Distribution of Relaxation Times

The possibility of analyzing the electrochemical impedance spectra of lithium–lithium cells using the Distribution of Relaxation Times (DRT) function is studied. A comparative analysis of the electrochemical impedance spectra of lithium–lithium cells obtained during long-term storage at a constant temperature and at different temperatures was performed using the method of either equivalent electrical circuits or the DRT function. The analysis of the impedance of lithium–lithium cells by the DRT function is shown to allow estimating the number of layers in the surface film on the lithium electrodes and evaluating their physical parameters—the resistance and capacitance. It has been established that with a long exposure of lithium–lithium cells at the temperature of 30°C, the number of layers in the surface film and its resistance decreased. With the increase in the temperature, the physical properties of the layers of the surface film are differentiated and its total resistance decreased. The analysis of the electrochemical impedance spectra of lithium–lithium cells by the DRT functions is more informative than the method of equivalent electrical circuits.

Boosting photocatalytic nitrogen reduction reaction by Jahn-Teller effect

Compared with traditional the Haber-Bosch process, photocatalytic ammonia production has attracted a considerable attention due to its advantages of low energy consumption and sustainability. In this work, we mainly study the photocatalytic nitrogen reduction reaction (NRR) on MoO3·0.55H2O and α-MoO3. Structure analysis shows that compared to α-MoO6, the [MoO6] octahedrons in MoO3·0.55H2O obviously distort (Jahn-Teller distortion), leading to the formation of Lewis acid active sites that favors the adsorption and activation of N2. X-ray photoelectron spectroscopy (XPS) further confirms the formation of more Mo5+ as Lewis acid active sites in MoO3·0.55H2O. Transient photocurrent, photoluminescence and electrochemical impedance spectra (EIS) confirmed that MoO3·0.55H2O has a higher charge separation and transfer efficiency than α-MoO3. Density functional theory (DFT) calculation further confirmed that the N2 adsorption on MoO3·0.55H2O is more favorable thermodynamically than that on α-MoO3. As a result, under visible light irradiation (λ ≥ 400 nm) for 60 min, an ammonia production rate of 88.6 μmol·gcat-1 was achieved on MoO3·0.55H2O, which is about 4.6 times higher than that on α-MoO3. In comparison to other photocatalysts, MoO3·0.55H2O exhibits an excellent photocatalytic NRR activity under visible light irradiation without using sacrificial agent. This work offers a new fundamental understanding to photocatalytic NRR from the viewpoint of crystal fine structure, which benefits designing efficient photocatalysts.

Corrosion Protection Mechanism Study of Nitrite-Modified CaAl-LDH in Epoxy Coatings

In this work, nitrite and molybdate-modified CaAl layered double hydroxide(CaAl-LDH) was first synthesized, and the corrosion protection mechanism of CaAl-LDH intercalated with nitrites in epoxy coatings was investigated. Scanning electronic microscopy (SEM) and the energy dispersive spectroscopy (EDS) was used to characterize the morphology and element composition of the synthesized powder. Fourier transform infrared spectroscopy (FTIR) was used to characterize the information of chemical composition, and X-ray diffraction (XRD) was used to analyze the structure. The SEM and XRD results indicated that the LDH structure was destroyed in the molybdate modification process, and CaMoO4 precipitates were formed. Therefore, molybdates cannot be used to be loaded in CaAl-LDH interlayer space for synthesis of an active corrosion inhibition container. The nitrite release curve and the chloride concentration decreasing curve were measured to study the anion-exchange reaction by UV-Vis spectroscopy and a home-made Ag/AgCl probe, respectively. The corrosion protection effect of the CaAl-LDH loaded with nitrites towards the carbon steel was evaluated in 0.02 M NaCl solution by electrochemical impedance spectroscopy (EIS). Then the powder was added in the epoxy coating with 2% addition (weight vs. epoxy resin). The coating morphology and roughness were evaluated by SEM and laser microscopy, and the corrosion protection effect was investigated by EIS in an immersion period of 21 d. The fitted coating resistance of the sample with 2% LDH intercalated with nitrites was one order of magnitude higher than that with 2% LDH, and the latter one was two orders of magnitude higher than the blank sample. Local electrochemical impedance spectra (LEIS) was used to characterize the corrosion development process in micro-corrosion sites. The corrosion product of the scratched area after salt spray exposure was analyzed by EDS and Raman spectroscopy. The corrosion protection mechanism of the CaAl-LDH loaded with nitrites was proposed based on the above experimental results.

Efficient biodegradation of trimethoprim and transformation mechanism using the photoelectrocatalytic system

In this study, the coupling of a three-electrode photocatalytic microbial fuel cell system (PMFC) was established for trimethoprim (TMP) degradation, to achieve efficient degradation and electrical energy production simultaneously. The photocatalytic bioanode, degradation performance, electrochemical characteristics and microbial structure were analyzed to explore the degradation of TMP in PMFC. The results showed that rapid degradation and enhanced mineralization of TMP were obtained in the PMFC, which were 1.7 and 1.4 times higher than those of traditional microbial fuel cells (MFCs), respectively. Intermediates in the degradation process were identified in both systems, and three degradation pathways were inferred in the PMFC. The electricity characteristics were investigated and superior electrical production and higher electron transfer efficiency were observed in the PMFC, resulting in a maximum power density of 75.1 mW/m2 and a maximum voltage of 0.225 V. Additionally, the cyclic voltammetry test and electrochemical impedance spectra were used for electrochemical performance characterization, and the results showed the stronger oxidation ability of PMFC with half the charge transfer resistance of MFCs. The microbial community structure demonstrated that the dominant species were enriched and coexisted, involving degradation bacteria, exoelectrogens, and hydrocarbon removal bacterial. Furthermore, canonical correspondence analysis (CCA) revealed a mutual promotion of TMP degradation and electricity production with the involvement of these active genera. In conclusion, this novel technology is an excellent alternative in practical applications for the treatment of wastewater containing antibiotics.

A novel analysis method for electrochemical impedance spectra using deep learning

Recent advancements in electrochemical impedance spectroscopy has enabled to acquire large amounts of spectral data within shorter timeframes. However, the analysis methods designed to handle the increasing number of spectra cannot keep pace with instrumental developments. To address this challenge, a new method is proposed in this study, which applies deep learning techniques to analyze a set of electrochemical impedance spectra obtained upon changing potential. Specifically, the study utilizes an auto-encoder, a type of deep neural network, to process the impedance data. The auto-encoder effectively encodes the impedance as two-dimensional latent vectors, the key factor that represents the electrochemical processes that change in response to the electrode potential. The latent vectors contain information related to charge transfer, mass transfer, and electric double-layer charging, and produce quality-enhanced impedance spectra with improved quality when they are decoded. The results and conclusions of this study provide a proof of concept for the automated analysis of electrochemical impedance spectra using machine learning.

Fabrication of Zr-Ti-Si glassy metallic overlay on 3D printed Ti-6Al4V implant prototypes for enhanced biocompatibility

Implantable materials with enhanced corrosion resistance and bioactivity are highly desired for biomedical application. A 3D metal printed prototype surface was coated with amorphous alloy components of elements Zr, Ti and Si (Zr54Ti35 Si11) as a novel biomedical grade ternary system for the implants. A DC magnetron sputtering technique was used to sputter the films on Ti-6Al-4 V implant prototypes, exhibiting a smooth and denser coating with root means square surface roughness of 1.4 nm. Surface morphology and structural integrity of the thin film metallic glass (TFMG) was studied from electron microscopic techniques and X-ray diffraction analysis. The TFMG is thermally stable with a large supercooled liquid region (∆Tx) of 81.2 °C. Mechanical characteristics of the coatings were studied using the nanoindentation method to correlate the hardness and modulus of the implant materials. Under the simulated body fluid condition, Ti-6Al-4 V implant with 500 nm thickness coatings (Zr54Ti35Si11) exhibited the superior corrosion resistance rate 1 × 10−6 mpy with a charge transfer resistance of 34 kΩ promising for practical application. Electrochemical impedance spectra and Tafel analysis revealed that the corrosion resistance was prominent in the 500 nm thickness TFMG system than the 250 nm and uncoated bare counterparts. The in-vitro biocompatibility and cytotoxicity studies of the as-coated 3D printed implants were studied using the human osteoblast and L929 fibroblast cell lines, respectively. A hemocompatibility study on the implant materials revealed that erythrocytes remain biconcave without aggregation, platelet activation and thrombogenesis, supporting the biocompatibility of the implants. The integration of such unique properties makes these TFMG system ideal candidates for biomedical implants.