Thermodynamic Conditions Research Articles

Effects of boundary conditions on flash boiling ammonia sprays from a twin-fluid atomizer

Ammonia is a carbon-free fuel with a high hydrogen capacity (17.8 wt%) and well-established production and distribution infrastructures, making it a viable option for decarbonized and dispatchable power. In addition, ammonia combustion in its liquid phase is preferred for simplified storage, higher energy density, and compatibility with high-pressure industrial conditions. However, ammonia fuel has drawbacks that must be addressed. This work aims to investigate experimentally the effect of the boundary conditions on the dynamics of an ammonia spray injected by a commercial twin-fluid atomizer in a chamber at room pressure and temperature. A flash boiling analysis was conducted to assess the thermodynamic conditions that promote this phenomenon and the accuracy of existing correlations to predict this transition to flash boiling. The result showed that low injection pressures and preheated atomizing flow promote the formation of bubbles and the subsequent collapse inside the atomizer, creating an unstable spray. Such instabilities are significantly reduced when the injection pressure is increased. Additionally, increasing the atomizing air flow, injection pressure, and atomizing flow temperature improves the fuel breakup, widening the spray angle. However, the spray angle decreases at a certain point, indicating that atomization is more sensitive to thermodynamic conditions than a mechanical breakup.

Diversity of 10–20-day propagation of genesis potential index and its roles in tropical cyclogenesis over the South China Sea

The genesis potential index (GPI) is used to quantify the major large-scale environmental parameters associated with tropical cyclogenesis (TCG). It is demonstrated that the 10–20-day GPI dominates the intraseasonal variability of the GPI over the South China Sea (SCS) from June to September during 1979–2021. The spatiotemporal evolutions of the 10–20-day GPI in the TCG processes show distinct diverse characteristics. Through extended empirical orthogonal function (EEOF) analysis and spatial correlation coefficients, the 10–20-day GPI propagation characteristics of the TCG processes are mainly classified into 3 categories: WN-Pattern, N-Pattern, and W-Pattern. The WN-Pattern originates from the tropical western North Pacific (WNP), then gradually intensifies and propagates northwestward to the northern SCS. The N-Pattern moves northward from Indonesia to the central-northern SCS and distinctly strengthens from 2 days before the cyclogenesis. The W-Pattern features westward propagation from the subtropical WNP to the northern SCS. These three propagating patterns correspond to the respective locations of SCS TCG. In the GPI terms of these three patterns, the low-level absolute vorticity and mid-level relative humidity are considered as the dominant environmental factors. Furthermore, the significant cyclonic circulation anomalies and water vapor flux anomalies are well coordinated with the 10–20-day GPI in all the three patterns, constituting favorable dynamical and thermodynamic conditions for the SCS TCG. This study may be beneficial for deeper comprehension of the subseasonal large-scale environmental factors about SCS TCG.

The Impact of Temperature on the Adiabaticity and Coverage of a Single Shallow Cumulus Cloud

AbstractThe uncertainty of climate projection is significantly related to warm cloud feedback, which involves a complex interplay of various mechanisms. However, it is hard to unentangle temperature's impact on a single cloud with experiments, since the cloud dynamics always covary with environmental thermodynamical conditions. In this study, we investigate a simulated single shallow cumulus cloud's response to temperature using two perturbation methods, namely “uniform” and “buoyancy‐fixed”, the latter of which keeps the buoyancy profile unchanged in temperature perturbation. High‐resolution large eddy simulations show that uniform warming significantly increases cloud buoyancy, reducing cloud adiabaticity. If buoyancy is fixed, warming only reduces cloud area, leaving adiabatic fraction almost unchanged. Such a response can be explained by the Clausius‐Clapeyron effect with an idealized 1D diffusion model, showing that warming increases the cloud‐environment absolute humidity difference more than the increase in cloud liquid water content, resulting in a faster loss in both cloud coverage and total liquid water solely by lateral mixing. The responses of cloud coverage and total liquid water counteract, making adiabatic fraction insensitive to temperature change. Our work shows that the cloud adiabatic fraction's response to temperature is sensitive to the perturbed structure of the boundary layer, and the cloud coverage reduction by diffusion acts as a positive cloud feedback mechanism in addition to the adjustment processes of the boundary layer.

Quantum rotational dynamics of linear C5 at low interstellar temperatures for H2 collision.

The quantum dynamics of carbon chains through H2 and He collisions in the interstellar medium (ISM) is an important step toward accurate modeling of their abundance in non-local thermodynamic equilibrium conditions. The C5(Σg+1) molecule is the longest pure carbon chain detected in the ISM to date. While He collisions are computationally easy to perform, the collision with much more abundant H2 is both complicated and computationally demanding. Using templates for approximating p-H2 collisional rates, such as scaling He rates and using a reduced 4D → 2D potential energy surface (PES), has limited applicability. On the other hand, any such approximation does not exist for o-H2. Therefore, a full rotational dynamics of C5 with both p- and o-H2 is performed considering both molecules as rigid-rotors. The PES is calculated using CCSD(T)-F12a/AVTZ, and a neural network fitting model has been carefully chosen to strictly obey spectroscopic accuracy and augment the PES. The augmented PES is then expanded into radial terms using the bispherical harmonics function, and close coupling calculations have been done to get the cross sections and, subsequently, rate coefficients for various rotational transitions of C5.

Impact of Surface Turbulent Fluxes on the Formation of Roll Vortices in a Mediterranean Windstorm

AbstractRoll vortices can have a significant influence on the exchanges of momentum, sensible heat and moisture throughout the boundary layer. They have been shown to reinforce air‐sea interactions under strong wind conditions. This raises the question of how air‐sea exchanges can, in turn, affect the roll vortices. However, representing surface turbulent fluxes during extreme wind conditions is a major challenge in numerical weather prediction and can lead to large uncertainties in surface wind speed. The sensitivity of rolls to different representations of surface fluxes is investigated using large eddy simulations. The study focuses on Mediterranean windstorm Adrian, where rolls are responsible for the transport of strong winds to the surface. Considering the effects of sea spray increases surface heat fluxes and significantly influences the roll morphology. The rolls become narrower and extend over a greater height, while the downward transport of momentum is intensified and results in higher wind speed near the surface. Roll vortices vanish within a few minutes in the absence of momentum fluxes, which maintain the wind shear necessary for their organization. They also quickly weaken without sensible heat fluxes, which sustain the near‐neutral stratification required for their development. In contrast, latent heat fluxes play a minor role. These findings emphasize the necessity of precisely representing the processes occurring at the air‐sea interface, which do not only affect the thermodynamic surface conditions but also the vertical transport of momentum within the windstorm.

The disorder-order transition of FeCuPt nanoparticles with various Cu content

The effect of adding a third-element on disorder-order transition of FePt has been demonstrated using FeCuPt alloy as a model. The introduction of Cu leads to an increase in the ordering degree, and a moderate amount of Cu enhancing the most. Density Functional Theory calculations indicate that the disorder-order transition in FePt is influenced by the ordering temperature and vacancy formation energy. FePtCu alloy with a moderate Cu content exhibits the lowest vacancy formation energy in the L10-phase, which promotes the atom diffusion during annealing and resulting in a higher ordering degree. This study summarizes the annealing temperature, time, and thermodynamic or kinetic conditions required to achieve L10-FePtX alloy with superior ordering degrees. The findings offer valuable insights for selecting suitable third-elements and annealing parameters to produce L10-FePtX alloy with enhanced ordering degrees.

Catalyst-free and wavelength-tuned glycosylation based on excited-state intramolecular proton transfer

The chemoselectivity of organic reactions is a fundamental topic in organic chemistry. In the long history of chemical synthesis, achieving chemoselectivity is mainly limited to thermodynamic conditions by an exogenous activation strategy. Here, we design an endogenous activation method, which can be used to control the chemoselectivity of phenol and naphthol through the photo-induced excited-state intramolecular proton transfer (ESIPT). A wavelength-tuned glycosylation is developed to showcase the penitential of this new strategy. Traditionally, an exogenous activator (electrophilic promoters) is essential to induce the cleave of a polar single bond, and this strategy has been extensively studied and used in the glycosylation chemistry, for the formation of oxocarbenium cation intermediate. In our systems, the oxocarbenium cation intermediates can be selectively formed from glycosyl donors bearing tunable chromophoric groups under mild conditions of acid-base free and redox neutrality, which enables continuous synthesis of oligosaccharides.

Corrected thermodynamics and stability of magnetic charged AdS black holes surrounded by quintessence

In this study, we explore the corrected thermodynamics of non-linear magnetic charged anti-de Sitter (AdS) black holes surrounded by quintessence, incorporating thermal fluctuations and deriving the corrected thermodynamic potentials. We analyze the effects of corrections due to thermal fluctuations on various thermodynamic potentials, including enthalpy, Helmholtz free energy, and Gibbs free energy. Our results show significant impacts on smaller black holes, with first-order corrections destabilizing them, while second-order corrections enhance stability with increasing parameter values. The specific heat analysis further elucidates the stability criteria, indicating that the large black holes ensure stability against phase transitions. However, the thermal fluctuations do not affect the physical limitation points as well as the second-order phase transition points of the black hole. Our findings highlight the intricate role of thermal fluctuations in black hole thermodynamics and their influence on stability, providing deeper insights into the behaviour of black holes under corrected thermodynamic conditions.

Model-based assessment of a feedforward-feedback control strategy for ORC-based unit in waste heat recovery application

Research in the automotive sector is driven by the need to reduce the greenhouse gases emissions, while maintaining the expected vehicle performances. The electrification and hybridization ensure to achieve this goal, anyway, some issues still limit their full development in the international panorama. For this reason, the technological improvement of Internal Combustion Engines (ICEs) plays a crucial role in this transition period, also considering the opportunities related to sustainable fuels. Among the technological solutions allowing to improve ICEs performances, the energy recovery from the exhaust gases through Organic Rankine Cycle (ORC)-based power units are one of the most attractive alternatives, due to the high enthalpic content of the hot source. Despite these benefits, the ICE exhaust gases usually have considerable fluctuation of thermodynamic conditions. For this reason, it is necessary the adoption of a reliable and robust control system to keep the main operating ORC quantities (superheating degree, expander intake pressure and temperature) within a suitable and safe range. ORC control strategies for transportation applications are often based on detailed models that predict the unit behaviour, making use of Proportional-Integrative-Derivative (PID) regulators, whose coefficients are generally tuned through theoretical approaches and dedicated software. In the present work, an innovative control system has been developed, based on the integration of a feedforward (FF) and proportional feedback (FDB) regulating strategies. Despite the simplicity of the proposed approach, it ensures the proper plant operation even under severe fluctuations of the hot source. Particularly, the gain of FDB is based on a constitutive relationship between the expander intake pressure and working fluid mass flow rate. Such gain, indeed, is universally valid, not requiring to be tuned as generally done. The benefits of the proposed strategy are assessed thanks to a comprehensive model of the whole ORC unit, validated through experimental data carried out on a fully instrumented test bench in dynamic working conditions. Results demonstrate the robustness of the feedforward-proportional regulating approach: a superheating degree of 15–20 °C is ensured, keeping the plant power and efficiency close to the design value (1 to2 kW and 4 to6% respectively) even in off-design conditions. Moreover, the safe operating of the expander is guaranteed limiting the maximum temperature excursion under the safety limit of 160 °C.

Numerical Investigation of Two-Phase Shock Waves in CO2 Flows Using a Modified Hertz–Knudsen Model

Abstract Understanding the complex behavior of two-phase shocks in CO2 flows is essential for a variety of applications, including carbon capture and storage () and transcritical refrigeration cycles. This study presents a comprehensive numerical investigation of two-phase shock waves using the multispecies user-defined real gas model in Ansys Fluent. The simulations are performed for de-Laval nozzles, exploring the two-phase shock features for three-dimensional (3D), two-dimensional (2D), and two-dimensional axisymmetric geometries. The nonequilibrium condensation, subsequent evaporation, and denucleation occurring across the shock are modeled through a set of user-defined scalar transport equations implemented within Ansys Fluent. The two-phase computational fluid dynamics (CFD) simulations are carried out in proximity to the critical point where real gas effects are relevant. The CO2 real gas properties are computed using an in-house Python code and integrated into the solver via user-defined functions as external look-up tables. This study provides valuable insights into the physical processes underlying two-phase shocks in CO2 flows and their sensitivity to geometric variations and thermodynamic conditions. The findings contribute to the development and modification of predictive models and optimized designs for systems involving two-phase CO2 flows. The results highlight the influence of geometry configurations and thermodynamic conditions on shock location and intensity, providing comparisons for shock waves occurring in two-phase flows and supercritical single-phase flows.

Visible-light-mediated deoxygenative transformation of 1,2-dicarbonyl compounds through energy transfer process

Through the energy transfer process, mild transformations can be achieved that are often difficult to realize under thermodynamic conditions. Herein, a visible-light-driven deoxygenative coupling of 1,2-dicarbonyl compounds for C–O, C–S, and C–N bonds construction is developed via triplet state 1,2-dicarbonyls, affording a wide range of α-functionalized ketones/esters under transition-metal and external photocatalyst free conditions. The usefulness of this method is demonstrated by gram-scale synthesis, late-stage functionalization of various carboxylic acid drugs, and the synthesis of natural products and drug molecules.

Optical study on the auto-ignition and knocking behaviors of ammonia/PODE RCCI mode

Employing high-reactivity fuels such as polyoxymethylene dimethyl ethers (PODE) are effective ways to improve ammonia-based engine performance. However, abnormal combustion (i.e., knocking combustion) may be encountered at reactivity-controlled compression ignition (RCCI) mode. In this study, the auto-ignition and knocking behaviors of ammonia/PODE RCCI mode were studied in a highly-strengthened optical engine at different injection timing conditions, with synchronization measurement of in-cylinder pressure and high-speed photography. The port-injection of ammonia and direct injection of PODE were employed at an energy ratio of 80/20. Results shows that knock intensity is significantly increased with the advancement of injection timings under elevated thermodynamic conditions, accompanied by steep pressure peaks and pressure oscillations. Combustion visualization elucidates the relationship between auto-ignition (AI) progress and knock intensity. Pressure oscillations under knocking combustion are closely correlated to the interplay between different AI flame fronts. Further analysis identifies two distinct combustion characteristics, manifested in the most AI locations and the initial AI flame speed. Numerical results indicate that different AI behaviors are primarily determined by the degree of inhibition in PODE pre-flame reactions by ammonia dehydrogenation, which affects AI kernel development. The slow initial auto-ignition flame results in the formation of a sufficiently active premixed mixture in the unburned region before the initial AI flame front arrives. Once the second AI flame occurs, the active premixed mixture undergoes rapid combustion, leading to strong pressure waves.

Amplification and Attenuation of Asymmetry via Kinetically Controlled Seed-Induced Supramolecular Polymerization.

The amplification of asymmetry in supramolecular polymers has recently garnered significant attention. While asymmetry amplification has predominantly been explored under thermodynamic conditions, the kinetic aspect of this process unveils intriguing observations, yet is scarcely reported in the literature. Herein, drawing inspiration from macromolecular systems, we propose a novel strategy for enhancing asymmetry in supramolecular polymers through a seed-induced supramolecular polymerization approach under kinetic conditions, employing a naphthalene diimide-derived monomer (ANSG) for template-induced supramolecular polymerization, utilizing adenosine triphosphate (ATP) and pyrophosphate (PPi) as templates. A chiral seed comprising [ANSG-ATP]S effectively amplifies the overall supramolecular asymmetry when exposed to a mixture of achiral templates (PPi) and monomers (ANSG), owing to its efficient seeding characteristics under kinetic conditions. As a result of efficient co-operativity, conversely, employing an achiral seed [ANSG-PPi]S in a mixture of chiral templates (ATP) and monomers (ANSG) results in the attenuation of asymmetry, highlighting the effective modulation achievable through the seeding approach, an unprecedented observation in the field. Exploiting the efficient aggregation-induced emission enhancement (AIEE) of the resultant supramolecular polymers further extends the amplification and attenuation of circularly polarized luminescence (CPL) as a potential function.

Influence of large-scale free-stream turbulence on bypass transition in air and organic vapour flows

The free-stream turbulence (FST) induced transition in perfect and non-ideal gas zero-pressure-gradient flat-plate boundary layers is investigated by means of large-eddy simulations. The study focuses on the influence of large incoming disturbances over the laminar-to-turbulent transition, by comparing two different integral length scales $L_f$ , which differ by a factor of seven, at different FST intensities $T_u$ . High-subsonic dense-gas boundary layers of the organic vapour Novec649, representative of organic Rankine cycle applications, are compared with air flows at Mach numbers 0.1 and 0.9. Compressibility and non-ideal gas effects are shown to be of minor importance in comparison to the influence of the FST integral length scale $L_f$ . An increase of the inlet turbulent intensity always promotes transition, whereas an increase of $L_f$ has a double effect on the transition onset. At $T_u=2.5\,\%$ , increasing $L_f$ promotes the transition, while it tends to delay transition for an FST intensity of 4 %. Larger FST integral scales tend to increase the spanwise distance between laminar streaks generated in the boundary layer. Two competing transition scenarios are observed. When the incoming turbulence intensity and length scale are moderate, the classical bypass route consists in the linear non-modal growth of streaks, which then experience secondary instabilities (sinuous or varicose) and lead to the generation of turbulent spots. The second scenario is characterized by the appearance of $\Lambda$ -shaped structures near the inlet, which are further stretched to hairpin vortices before breaking down to turbulence. Spot inceptions can therefore occur at earlier locations than the streak growth. We are then faced with a competition between the classical bypass transition and nonlinear response mechanisms that ‘bypass’ this route. The present case at high $L_f$ and low $T_u$ is an example of a competing scenario, but even for the higher $T_u$ and $L_f$ conditions, only approximately one-third of turbulent spots are due to the $\Lambda$ -shaped events. The nonlinear alternative route has strong similarities with scenarios described previously in the literature in the presence of leading edge effects or due to passing wakes. Such a path is governed by the turbulence intensity, but also by the integral length scale, with both parameters playing a critical role in the generation of the $\Lambda$ -shaped structures near the inlet. This alternative mechanism is found to be robust under varying flow and thermodynamic conditions.

A methodology to replicate LTGC engine conditions in a single-zone model and validate gasoline surrogate formulations versus experimental measurements

In this work, surrogate fuels for three premium-grade gasoline fuels were formulated and its autoignition behavior was validated, together with that of an existing surrogate for E10 regular gasoline, by comparison to experimental data measured in the Sandia Low-Temperature Gasoline Combustion research engine facility. Surrogate fuels have been previously designed by matching fuel properties such as octane number, fuel/air stoichiometric ratio and hydrogen/carbon ratio. However, similar octane rating can be obtained with several blends that will show different ignition characteristics. To avoid this issue, the surrogate fuels shown in this paper have been formulated by matching the main components of the fuel detailed hydrocarbon analysis. Validation of the surrogates was performed by replicating engine experiments run with the real fuel in a 0-D internal combustion engine reactor model with detailed chemistry. A fitted heat-loss model had to be implemented to properly replicate the experimental in-cylinder thermodynamic conditions, which invalidates the adiabatic assumption sometimes applied to engine simulations. Furthermore, minor species present in the EGR and residuals, such as CO and NOx, had to be taken into account to replicate the experimental low-temperature heat release (LTHR) trends. Therefore, accounting for heat losses and detailed in-cylinder composition are essential to accurately simulate the engine data. The bottom dead center temperature deviation required to obtain the same combustion timing as in the experiments was used as a metric to evaluate the accuracy of simulations. The surrogates gave good performance for the whole explored range, and replication of LTHR is a key factor in matching the experimental data. Chemical kinetic analyses showed that replication of LTHR is controlled by the ability of the surrogate to properly balance radical generation from low-temperature chain branching decomposition with radical consumption from stable species. Surrogate components that act as a sink of radicals tend to suppress the LTHR of the fuel, which may lead to large deviations between simulations and experiments. Especial attention should be paid to these fuel species when selecting the surrogate components.

Current Status of the MB-pol Data-Driven Many-Body Potential for Predictive Simulations of Water Across Different Phases.

Developing a molecular-level understanding of the properties of water is central to numerous scientific and technological applications. However, accurately modeling water through computer simulations has been a significant challenge due to the complex nature of the hydrogen-bonding network that water molecules form under different thermodynamic conditions. This complexity has led to over five decades of research and many modeling attempts. The introduction of the MB-pol data-driven many-body potential energy function marked a significant advancement toward a universal molecular model capable of predicting the structural, thermodynamic, dynamical, and spectroscopic properties of water across all phases. By integrating physics-based and data-driven (i.e., machine-learned) components, which correctly capture the delicate balance among different many-body interactions, MB-pol achieves chemical and spectroscopic accuracy, enabling realistic molecular simulations of water, from gas-phase clusters to liquid water and ice. In this review, we present a comprehensive overview of the data-driven many-body formalism adopted by MB-pol, highlight the main results and predictions made from computer simulations with MB-pol to date, and discuss the prospects for future extensions to data-driven many-body potentials of generic and reactive molecular systems.

Phenomenological models of ferroelastics with a fully symmetric order parameter: classification by methods of equivariant catastrophe theory

Using the methods of the catastrophe theory, which take into account the symmetry of the thermodynamic system, phenomenological models of phase transitions in proper and pseudo-proper ferroelastics have been constructed for interacting order parameters, one of which is fully symmetric, invariant with respect to all symmetry transformations of the crystal. A classification of models based on the number of control parameters, which depend on external thermodynamic conditions, has been carried out. A phase diagram of one of the models has been constructed, and the theoretical temperature dependence of the heat capacity has been calculated. The comparison of theoretical and experimental data showed satisfactory qualitative agreement.

Modeling and design for metal hydride-based hydrogen storage systems in underwater PEMFC applications

Utilizing metal hydride materials presents a promising avenue for establishing a highly concentrated hydrogen medium suitable for onboard vehicle applications, including underwater contexts. This paper introduces a design solution devised to estimate the characteristics of a metal hydride-based hydrogen storage system tailored for underwater vehicle deployment. The solution facilitates sensitivity analysis across various parameters by offering system mass and volume estimations. The findings highlight the significance of thermodynamic properties and operational conditions in determining the suitability of metal hydrides for compact and efficient hydrogen storage. The study underscores the importance of refueling time, L/D ratio, cooling fluid temperature and velocity, and hydrogen storage capacity in influencing system mass, volume, and thermal management. The model provides insights into the design and optimization of metal hydride-based hydrogen storage systems, offering a comprehensive approach to enhancing performance and reliability for underwater applications.

Molecular simulation of gas entrapment near a nanoscale cavity: The interplay of surface wettability, cavity shape, and gas type

Surface cavities play a crucial role in trapping and stabilizing gases, a phenomenon that can be used to facilitate applications in separation and drying processes. Understanding surface characteristics in relation to fluid-surface interactions is essential for designing interfacial properties that enable effective processes. In this work, we adopt a molecular simulation approach to investigate gas adsorption and entrapment in surface defects (cavities), focusing on the influence of surface wettability, cavity shape, and gas type. For this purpose, two types of silica-based surfaces with different levels of wettability (methylated and hydroxylated, with the former having lower water wettability), two cavity shapes with identical opening width and depth (V-shaped and square-shaped), and two types of gas (carbon dioxide and nitrogen) are considered. Our observations indicate that a stable gas nanobubble forms when a methylated surface combines with a square-shaped cavity, regardless of the gas type. In contrast, for hydroxylated surface, gas type becomes important; in a square-shaped cavity, nitrogen forms a stable nanobubble while CO2 is trapped in a monolayer fashion. The interfacial forces between the gas and surface which affects gas configuration near the surface, along with the gas molecules’ self-interaction manifested by solubility, are key to the different entrapment modes for N2 and CO2. Moreover, the square-shaped cavity exhibits better capability in trapping gas compared to the V-shaped cavity due to its higher surface area and smaller opening-to-interior ratio. The results of our molecular simulations can guide the design of surface features and processing systems to modify gas entrapment modes and stabilize nanoscale gas bubbles without altering thermodynamic conditions or fluid properties.

An Investigation of Oxides of Tantalum Produced by Pulsed Laser Ablation and Continuous Wave Laser Heating.

Recent progress has seen multiple Ta2O5 polymorphs generated by different synthesis techniques. However, discrepancies arise when these polymorphs are produced in widely varying thermodynamic conditions and characterized using different techniques. This work aimed to characterize and compare Ta2O5 particles formed at high and low temperatures using nanosecond pulsed laser ablation (PLA) and continuous wave (CW) laser heating of a local area of tantalum in either air or an 18O2 atmosphere. Scanning electron microscopy (SEM) and Raman spectroscopy of the micrometer-sized particles generated by PLA were consistent with either a localized amorphous Ta2O5 phase or a similar, but not identical, crystalline β-Ta2O5 phase. The Raman spectrum of the material formed at the point of CW laser impingement was in good agreement with the previously established ceramic "H-Ta2O5" phase. TEM and electron diffraction analysis of these particles indicated the phase structure matched an oxygen-vacated superstructure of monoclinic H-Ta2O5. Further from the point of laser impingement, CW heating produced particles with a Raman spectrum that matched β-Ta2O5. We confirmed that the high-temperature ceramic phase characterized in previous work by Raman spectroscopy was the same monoclinic phase characterized in different work by TEM and could be produced by direct laser heating of metal in air.