A. Mohseni Armaki
Please Note
10 records found
1
Zirconium carbide (ZrC) is a candidate material for extreme environments due to its exceptional thermal and mechanical properties. However, its oxidation behavior, particularly the formation of the Zr–C–O layer, requires further clarification. In this study, we investigated the oxidation of spark plasma sintered ZrC under varying temperatures and oxygen partial pressures, revealing a double-layer oxide scale. At the interface between ZrC and the Zr–C–O layer, we identified previously unreported oxidation front stripes composed of cubic zirconia, along which elliptical submicropores formed, suggesting preferential CO2 release pathways. The Zr–C–O layer itself was significantly enriched with amorphous free carbon. Based on these findings, we developed a phenomenological model that incorporated the formation of the compact Zr–C–O layer to predict oxide scale growth. This multiscale approach provides new insights into ZrC oxidation mechanisms and supports the design of oxidation-resistant ceramics for aerospace and nuclear applications.
Molybdenum disulfide (MoS 2) has emerged as a promising electrocatalyst for the electrochemical reduction of CO 2, primarily yielding carbon monoxide. However, product selectivity is known to be highly sensitive to structural features such as edge termination and defect density. In this work, we report the formation of higher hydrocarbons (C 2+ products) enabled by the presence of inherent sulfur vacancies in MoS 2 when combined with various ionic liquids as co-catalysts. While MoS 2 has traditionally shown limited hydrocarbon output, our findings demonstrate for the first time that native defect sites, interacting synergistically with the electrolyte environment, can facilitate the production of significant amounts of C 2+ species. These results provide new insights into defect-mediated catalytic pathways and highlight the importance of electrolyte design in tuning product distribution during CO 2 electroreduction.
Reagent-Free Ion Sensing through Interfacial Processes
Physical Origins and Data-Driven Interpretation of Electrochemical Impedance Non-Ideality
The central premise of this work is that ions actively reshape the structure of the electric double layer (EDL), and that these ion-dependent interfacial changes influence measurable electrochemical observables such as capacitance and impedance. The dissertation therefore treats ion sensing as an interfacial-physics problem, linking electrolyte composition to electrical response through the physicochemical organization of the interface. To establish this perspective, the thesis first reviews the interfacial electrochemical origins of reagent-free sensing, with emphasis on ion-dependent EDL structure, solvent organization, adsorption, crowding, diffuse screening, and nanoconfinement.
A continuum modeling framework is then developed to connect interfacial structure to measurable impedance response. This framework provides a physically grounded description of how ion properties, interfacial permittivity, ion distribution, and local conductivity shape the frequency-dependent electrochemical response, and it is later extended to include temperature-dependent behavior. Within this framework, impedance non-ideality is interpreted not as a mere fitting artifact, but as a physically meaningful consequence of distributed interfacial processes. In particular, constant phase element behavior and the transition-frequency regime are shown to carry ion-specific information that can be used for sensing.
Building on this physical interpretation, the dissertation further demonstrates that full-spectrum impedance data can be used for ion detection and quantification through machine learning-assisted analysis. Rather than relying on isolated scalar features alone, the work shows that the broader spectral response contains structured information related to electrolyte composition, enabling data-driven interpretation of reagent-free electrochemical measurements.
The dissertation also introduces temperature as an active perturbation of the interface and demonstrates that thermal modulation provides an additional source of compositional information. By analyzing how temperature alters capacitance, impedance non-ideality, and transition-frequency behavior, the work shows that controlled thermal variation can improve the interpretability and discriminatory power of reagent-free sensing.
In addition, the thesis includes in situ XPS characterization of the electric double layer, providing direct experimental access to the buried electrode–electrolyte interface. This part of the work supports the physical picture developed in the main chapters by offering interfacial evidence complementary to the electrochemical and modeling results, and by demonstrating the value of direct characterization for understanding ion-dependent interfacial organization.
Taken together, this dissertation advances reagent-free electrochemical ion sensing as a physically grounded strategy that combines interfacial theory, continuum modeling, impedance spectroscopy, data-driven interpretation, temperature modulation, and direct interfacial characterization. In doing so, it contributes both to the fundamental understanding of electrode–electrolyte interfaces and to the development of broadly applicable sensing concepts for complex aqueous systems. ...
The central premise of this work is that ions actively reshape the structure of the electric double layer (EDL), and that these ion-dependent interfacial changes influence measurable electrochemical observables such as capacitance and impedance. The dissertation therefore treats ion sensing as an interfacial-physics problem, linking electrolyte composition to electrical response through the physicochemical organization of the interface. To establish this perspective, the thesis first reviews the interfacial electrochemical origins of reagent-free sensing, with emphasis on ion-dependent EDL structure, solvent organization, adsorption, crowding, diffuse screening, and nanoconfinement.
A continuum modeling framework is then developed to connect interfacial structure to measurable impedance response. This framework provides a physically grounded description of how ion properties, interfacial permittivity, ion distribution, and local conductivity shape the frequency-dependent electrochemical response, and it is later extended to include temperature-dependent behavior. Within this framework, impedance non-ideality is interpreted not as a mere fitting artifact, but as a physically meaningful consequence of distributed interfacial processes. In particular, constant phase element behavior and the transition-frequency regime are shown to carry ion-specific information that can be used for sensing.
Building on this physical interpretation, the dissertation further demonstrates that full-spectrum impedance data can be used for ion detection and quantification through machine learning-assisted analysis. Rather than relying on isolated scalar features alone, the work shows that the broader spectral response contains structured information related to electrolyte composition, enabling data-driven interpretation of reagent-free electrochemical measurements.
The dissertation also introduces temperature as an active perturbation of the interface and demonstrates that thermal modulation provides an additional source of compositional information. By analyzing how temperature alters capacitance, impedance non-ideality, and transition-frequency behavior, the work shows that controlled thermal variation can improve the interpretability and discriminatory power of reagent-free sensing.
In addition, the thesis includes in situ XPS characterization of the electric double layer, providing direct experimental access to the buried electrode–electrolyte interface. This part of the work supports the physical picture developed in the main chapters by offering interfacial evidence complementary to the electrochemical and modeling results, and by demonstrating the value of direct characterization for understanding ion-dependent interfacial organization.
Taken together, this dissertation advances reagent-free electrochemical ion sensing as a physically grounded strategy that combines interfacial theory, continuum modeling, impedance spectroscopy, data-driven interpretation, temperature modulation, and direct interfacial characterization. In doing so, it contributes both to the fundamental understanding of electrode–electrolyte interfaces and to the development of broadly applicable sensing concepts for complex aqueous systems.
In the search for effective high-tech materials for energy conversion and storage devices, spinel-structured nickel ferrite (NiFe2O4) has been identified as a promising anode material for lithium-ion batteries (LIBs). However, the influence of different morphologies and surface properties of NiFe2O4 nanoparticles on battery performance is hardly addressed. To understand the effect of different morphologies and surface properties on the lithium-ion storage performance, NiFe2O4 nanoparticles were synthesized through four different synthesis conditions: NFO-S, NFO-U, NFO-G, and NFO-C. The formation of polycrystalline inverse spinel NiFe2O4 was confirmed through XRD, FTIR, and Raman spectroscopy. The morphologies of the obtained samples were studied using FESEM, and it was found that the four different synthesis conditions employed here enabled us to obtain NiFe2O4 with four different morphologies. The surface chemistry, surface area and porosity of the NiFe2O4 samples were respectively characterized using XPS and BET. The electrochemical performance of the four NiFe2O4 samples as anode material was studied by fabricating lithium-ion half-cells. NiFe2O4 sample obtained from surfactant-free synthesis condition (NFO-S) displayed a high initial discharge and charge capacity of 2258 mAh/g and 1815 mAh/g, respectively at the current density of 100 mA/g. Even after 100 cycles, NFO-S showed a better discharge capacity of 116 mAh/g at the current density of 100 mA/g, compared to the other samples studied here. The observed higher capacity of the NFO-S sample is attributed to the higher surface area (40.8 m2/g) and pore volume (0.190 cm3/g). The NiFe2O4 sample prepared with cationic CTAB surfactant (NFO-C) showed better cyclic stability with a stable coulombic efficiency of 98.5% at the 100th cycle, mainly attributed to its nanocube morphology with lower surface area (16.1 m2/g) and pore volume (0.087 cm3/g).
The development of advanced catalysts with innovative nanoarchitectures is critical for addressing energy and environmental challenges such as the electrochemical CO2 reduction reaction (CO2 RR). Herein, the synthesis of an innovative copper–sulfur planar structure, Cu–S–BDC, within a metal–organic framework (MOF) catalyst is presented, which demonstrates 100% selectivity toward formate as the sole carbon product. Structural analysis and surface characterizations reveal that Cu–S–BDC exhibits quasi-2D inorganic building units, with Cu bonded to two S-CH (Formula presented.) groups and one BDC linker, while carboxylate groups adopt a bridging coordination mode. This unique arrangement not only imparts remarkable structural stability but also enhances the electronic properties of the MOF, as evidenced by a narrow bandgap of 1.203 eV that facilitates efficient charge transfer and increased electrochemical current density in CO (Formula presented.) RR. Notably, it offers a Faradaic efficiency of 92% for formate at an overpotential as low as −0.4 V versus the reversible hydrogen electrode (RHE) in an aqueous electrolyte of 1 m KOH, as well as a current density of −25.8 mA cm2 at −0.9 V versus RHE, averaged over 24 h of electrolysis. This study highlights a fresh perspective in the field of MOF electrocatalysts by demonstrating that engineering the metal coordination environment can significantly enhance the electronic properties and consequently improve the electrocatalytic performance of these materials.
The dream corrosion inhibitor would work for every substrate–environment combination, and the protection would be sustained indefinitely with an irreversible barrier layer when exposed to aggressive and changing environmental conditions. However our prior electrochemical experiments on AA2024-T3 have shown that despite the initial inhibition, all of the tested molecules had reversible bonds that limit their inhibition performance and applicability in dynamic environments, with the exception of 3-amino-1,2,4-triazole-5-thiol, which still showed 42% inhibition efficiency after being exposed to 0.1M NaCl only for three days. To our knowledge, this is the first mechanistic study that explains the origin of such quasi-sustained inhibition by an organic molecule under dynamic and aggressive conditions relevant to aerospace alloys. Potentiodynamic polarization, atomic force microscopy and scanning Kelvin probe force microscopy (AFM/SKPFM), X-ray photoelectron spectroscopy (XPS), attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR), shell-isolated nanoparticle-enhanced Raman spectroscopy (SHINERS), and time-of-flight secondary ion mass spectrometry (ToF-SIMS) complemented by density functional theory (DFT) calculations were used to identify the molecular mechanism responsible for the quasi-stable adsorption provided by 3-amino-1,2,4-triazole-5-thiol. Our findings suggest that a sulphatization of the Al-(hydr)oxide is the key contributor to the quasi-sustained corrosion inhibition. Sustained molecule adsorption over intermetallics in trace amounts was also observed, but their presence was insufficient to inhibit corrosion.
2D materials, characterized by their extensive surface area and customizable chemical and electronic properties, offer compelling advantages as advanced materials. These unique attributes pave the way for the development of next-generation electronics and optoelectronics, photo- and electro-catalysis, energy storage and conversion devices, and sensors. The most prominent and commonly available 2D transition metal dichalcogenide, molybdenum disulfide (MoS2), has already shown its potential for advanced applications. However, its relatively unfavorable electronic structure and limited intrinsic conductivity lower its suitability for applications that require high conductivity, such as electrocatalysts. One way to enhance its conductivity is by electrochemically intercalating alkali metal ions, e.g., Na+ and K+, into its layered structure, potentially adjusting its electronic structure. Here, we present a comprehensive investigation into the atomic-scale intercalation mechanism using molecular dynamics simulations, complemented by experimental analysis of structural and electronic properties at the macro scale through various characterization techniques. It is demonstrated that the hydration shell of ions serves as an energy barrier to intercalation as it undergoes a structural change during the intercalation. When alkali metal ions are intercalated into MoS2, they introduce more defects and enhance conductivity. Notably, these effects are more pronounced for potassium than for sodium.