Effect Of Temperature Research Articles

Elastic-plastic behavior of nickel-based single crystal superalloys with γ-γ′ phases based on molecular dynamics simulations

Abstract In this paper, the effects of temperature and Re content on the mechanical properties, dislocation morphology, and deformation mechanism of γ-γ′ phases nickel-based single crystal superalloys are investigated by using the molecular dynamics method through the model of γ-γ′ phases containing hole defect. The addition of Re makes the dislocation distribution tend towards the γ phase. The higher the Re content, the earlier the γ phase yields, while the γ' phase yields later. Dislocation bends under the combined action of the applied force and the resistance of the Re atoms to form a bend point. The Re atoms are located at the bend points and strengthen the alloy by fixing the dislocation and preventing it from cutting the γ′ phase. Dislocations nucleate first in the γ phase, causing the γ phase to deform plastically before the γ′ phase. As the strain increases, the dislocation length first remains unchanged, then increases rapidly, and finally fluctuates and changes. The dislocation lengths in the γ phase are larger than those in the γ′ phase at different temperatures. The dislocation length shows a decreasing tendency with the increase of the temperature. Temperature can affect movement of the dislocation, and superalloys have different plastic deformation mechanisms at low, medium and high temperatures.

MICROBIAL CONTAMINATION IN MIXED SYRUP CONTAINING ERDOSTEIN AND CETIRIZIN STORED AT DIFFERENT STORAGE TEMPERATURE

Pharmaceutical services include drug dispensing activities, including drug compounding. Drug compounding is the process of mixing or changing ingredients to produce drugs that suit patient needs. Unmonitored storage conditions for compounded drugs in the community can affect the evaluation of the physical, chemical, and microbial contamination stability. The aim of this study was to determine the effect of storage temperature on the results of the evaluation of microbial contamination in compounding syrup pharmaceuticals, so it can provide education to the public about the storage patterns that have been carried out so far. Evaluation of microbial contamination in this study included contamination of the Total Yeast and Mold Count (TYMC) and Total Plate Count (TPC). The objective of this study was a mixture of Erdostein syrup and cetirizine tablets. The research materials used for the microbial contamination test were mineral water, sterile water, Plate Count Agar (PCA) media, and Potato Dextrose Agar (PDA). The results of the study in the form of TYMC and TPC on day 0 were 0 cfu/mL. After 7 days of storage, microorganisms, namely TYMC, grew at room temperature (<30°C) 4.98x102 cfu/mL and cold temperature (2-8°C) 2.2x102 cfu/mL. The TPC results at room temperature storage (<30°C) were 8.33x102 cfu/mL and at cold temperatures (2-8°C) were 3.67x102 cfu/mL ...

Predictable ecological dynamics over incredibly small spatial scales influence early-life phenotypes in a species with temperature-dependent sex determination.

Phenotype-environment associations in neonatal animals may arise in wild environments by virtue of ecological dynamics within the nest. Such dynamics may be of special importance to the evolution of temperature-dependent sex determination (TSD), an enigmatic trait which can be adaptive when the incubation temperatures that affect sexual differentiation also have differential effects on fitness of the sexes. To infer causal effects of the nest environment on fitness-relevant phenotypes, we apply structural equation modeling (SEM) to a 14-year dataset of 3085 individual embryos whose position in 179 wild snapping turtle nests could be estimated. We find that temperature has a positive effect on hatchling size, and that the same temperatures that predict hatchling size also predict sex of hatchlings. Further, the probability that embryos develop as males is correlated with hatchling size in the wild, where across all environments, males are slightly and significantly larger than females at hatching. Our SEM reveals that the covariance between size and sex arises because of temperature effects on size, and because of a predictable covariance between egg placement within the nest coupled with maternal effects on egg size. Finally, embryos deep in the nest have a high probability of becoming male even in the hottest years. Our study suggests ecological dynamics occurring within the nest are an interesting and underappreciated source of phenotypic variation. Our study also supports the view that TSD is an adaptive trait, rather than a neutral trait, by showing consistent associations between phenotype and temperature in wild nests of a TSD reptile.

Effects of temperature and food availability on feeding behaviour and cloacal movements in the sea cucumber Cucumaria frondosa

Effects of temperature and food availability on feeding behaviour and cloacal movements in the sea cucumber Cucumaria frondosa

Size-specific strategies of sympatric cetaceans to reduce heat loss.

Maintaining a stable core body temperature is essential for endotherms. Cetaceans live in a highly thermally conductive medium, requiring special adaptations to reduce heat loss and maintain homeothermy. We employed a combination of aerial photogrammetry and existing data sources to estimate heat loss rates in five sympatric cetaceans of varying sizes, inhabiting the sub-arctic waters (∼3.7 °C) of NE-Iceland: harbour porpoises (Phocoena phocoena, 1.0 - 1.6 m, n=50), white-beaked dolphins (Lagenorhynchus albirostris, 1.1 - 2.9 m, n=294), minke whales (Balaenoptera acutorostrata, 4.4 - 8.6 m, n=30), humpback whales (Megaptera novaeangliae, 6.0 - 14.2 m, n=282) and blue whales (Balaenoptera musculus, 13.2 - 24.2 m, n=29). Further, we investigated the effect of body size (length), body shape (surface-area-to-volume ratio, SVR), body temperature, and blubber thermal conductivity and thickness on heat loss for all species. Smaller species had higher volume-specific heat loss compared to larger species due to their higher SVRs, a fundamental consequence of scaling. Apart from body size, blubber thickness had the largest effect on heat loss, followed by thermal conductivity. Smaller cetaceans seem to rely primarily on physiological and morphological adaptations to reduce heat loss, such as increased blubber thickness and lower thermal conductivity, whereas larger species offset heat loss by having larger bodies and lower SVRs. Our findings provide valuable insights into the thermal biology of these species and its implications for habitat use and prey requirements.

Temperature-adaptive artificial neural network model for enhanced fault detection in railway tracks using acoustic emission sensor data

ABSTRACT Maintaining railway infrastructure integrity is essential for global trade and transportation, as heavy traffic and adverse environments heighten the risk of creep and fatigue-related failures. Acoustic Emission (AE) techniques, widely used in non-destructive testing (NDT), enable real-time health monitoring by detecting stress waves generated during fault nucleation. However, temperature variations significantly influence the wave propagation velocity, affecting the accuracy of fault localisation by altering the Time of Arrival (TOA). This study addresses these challenges by developing an Artificial Neural Network (ANN) model that incorporates dynamic temperature variations to enhance fault localisation accuracy. The ANN is trained using laboratory data at standard temperatures and tested on field data collected across a wide temperature range (28°C to 65°C). The initial results revealed discrepancies in fault prediction accuracy, prompting model refinement by including temperature as a critical input alongside conventional AE parameters. The enhanced model demonstrates significant improvements in fault localisation accuracy, emphasising the importance of accounting for temperature effects. This research contributes to the advancement of AI-driven solutions for reliable real-time fault detection, promoting safer and more efficient railway operations under diverse environmental conditions.

(In)stability of symbiotic vortex-bright soliton in holographic immiscible binary superfluids

Symbiotic vortex-bright soliton structures with non-trivial topological charge in one component are found to be robust in immiscibel two-component superfluids, due to the effective potential created by a stable vortex in the other component. We explore the properties of symbiotic vortex-bright soliton in strongly coupled binary superfluids by holography, which naturally incorporates finite temperature effect and dissipation. We show the dependence of the configuration on various parameters, including the winding number, temperature and inter-component coupling. We then study the (in)stability of symbiotic vortex-bright soliton by both the linear approach via quasi-normal modes and the full non-linear numerical simulation. Rich dynamics are found for the splitting patterns and dynamical transitions. Moreover, for giant symbiotic vortex-bright soliton structures with large winding numbers, the vortex splitting instability might be rooted in the Kelvin-Helmholtz instability. We also show that the second component in the vortex core could act as a stabilizer so as to suppress or even prevent vortex splitting instability. Such stabilization mechanism opens possibility for vortices with smaller winding number to merge into vortices with larger winding number, which is confirmed for the first time in our simulation.

Exploring the interactions in the mixtures of cationic Gemini and biologically significant anionic surfactant sodium cholate in presence of drug proponolol hydrochloride

Abstract The objective of the present study is to evaluate the binding properties of active pharmaceutical ingredients with mixture of surfactants with the aim of reducing the amount of the surfactants as well as the excipient for the pharmaceutical formulations and drug delivery applications. Therefore, a study of the interactions between the ionic surfactant sodium cholate (SC) and a cationic Gemini surfactant (12-2-12) in the presence of the drug propanolol hydrochloride (PH) in aqueous solution was carried out using conductance measurements. The effect of temperature and composition of the mixture was evaluated using critical micelle concentration (CMC) and other related parameters. For the mixture of SC + 12-2-12 in aqueous PH solution, the CMC of the mixed systems (CMCexp) decreases with increasing temperature. However, at a fixed temperature, CMCexp tends to decrease with increasing mole fraction (α 1), reaching a minimum at α 1 ≈ 0.7 and increasing thereafter. The ideal value of the CMC (CMCid) is always higher than the experimental CMCexp, revealing synergistic interactions among the amphiphilic molecules studied. The free energy of micellization (ΔG o m) is negative, while the enthalpy and entropy of micellization (ΔH o m and ΔS o m) suggest the existence of hydrophobic interactions as the main driving force for micellization.

Temperature effects on the physiology, growth and survival of the apple snail Pomacea sp. (Perry, 1810)

Temperature effects on the physiology, growth and survival of the apple snail Pomacea sp. (Perry, 1810)

Stress-Free Two-Way Shape Memory Polymers with Dual-Crystalline Phase Based on Poly(Tetramethylene Ether Glycol) and Poly(ε-Caprolactone).

Two-way shape memory polymers (2W-SMPs) are a class of smart materials and can undergo spontaneously reversible deformation after specific stimuli. It is crucial to develop 2W-SMPs to achieve precise control of two-way shape memory behavior without external forces and reveal their structure-property relationships. In this study, dual-crystalline phase crosslinked polymer networks based on poly(tetramethylene ether glycol) (PTMEG) and poly(ε-caprolactone) (PCL) are fabricated via thiol-ene click reactions. The networks with two independent melting temperatures are gained by adjusting the ratio of the two segments and the two-way shape memory is enabled using the temperature difference between the two phases. The effects of network composition, pre-tensile strain, and actuation temperature on the two-way shape memory properties are investigated and the two-way shape memory mechanism of dual-crystalline phase polymers is further elucidated. Among the various compositions of networks, PTMEG8-PCL2 exhibits the optimal two-way shape memory properties, with the actuation strain of 24.25% and reversible strain of up to 10.35% at the actuation temperature and pre-stretch strain of 45°C and 15%, respectively, which is potential for soft robotics applications. It is believed that this work guides the design of semicrystalline networks with two-way shape memory properties.

Flow and Corrosion Analysis of CO2 Injection Wells: A Case Study of the Changqing Oilfield CCUS Project

In carbon dioxide capture, utilization and storage (CCUS) technology, CO2 flooding and storage is currently the most effective geological storage method and the flow law of the gas injection wellbore is the key to achieving safe and efficient CO2 injection. The existing wellbore flow model lacks research on the corrosion law. To this end, this paper established a gas injection wellbore flow-heat transfer-corrosion coupling model based on the actual situation of Huang 3 District of the CCUS Demonstration Base of Changqing Oilfield. The field measured data verification showed that the relative average error of the model in predicting pressure and temperature was less than 7.5% and the R2 of the predicted value and the measured value was greater than 0.99. The model was used for sensitivity analysis to evaluate the effects of different gas injection temperatures (15–55 °C), pressures (15–55 MPa), displacements (10–500 t/d) and CO2 contents (50–100%) on wellbore temperature, pressure and corrosion rate, and the wellbore flow law under different gas injection conditions was clarified. The results show that the wellbore temperature, pressure and corrosion rate are significantly affected by gas injection parameters. The wellbore temperature increases with the increase of gas injection temperature and decreases with the increase of gas injection displacement. The wellbore pressure is positively correlated with the gas injection pressure and CO2 content and the gas injection temperature and displacement have little effect on the pressure. The corrosion rate increases with the increase of gas injection temperature and displacement and decreases with the increase of gas injection pressure. In the wellbore, it shows a trend of first increasing and then decreasing with depth. The wellbore corrosion rate is affected by many factors. Reasonable adjustment of gas injection parameters (lowering temperature, increasing pressure, controlling displacement and CO2 content) can effectively slow down the wellbore corrosion loss. The research results can provide a theoretical basis for the optimization of gas injection system.

Accurate operando measurement of AlGaN/GaN HEMTs channel temperature and optimization of thermal design

The accurate estimation of the temperature distribution of the GaN based power devices and optimization of the device structure is of great significance to possibly solve the self-heating problem, which hinders the further enhancement of the device performances. We present here the operando temperature measurement with high spatial resolution using Raman spectroscopy of AlGaN/GaN high electron mobility transistors (HEMTs) with different device structures and explore the optimization of the device thermal design accordingly. The lateral and depth temperature distributions of the single-finger HEMT were characterized. The channel temperature and self-heating effect of the device under different bias voltages were investigated. By incorporating the two-dimensional electrothermal simulation, the hotspot position can be clearly observed under the gate edge near the drain side. The channel temperature of the multi-finger HEMT was further measured and the experiment results were in agreement with the three-dimensional finite element analysis simulation results. The device structure of the multi-finger device, including the gate width, gate pitch, structure layout, substrate materials, and thickness, were then theoretically optimized to improve the heat dissipation. The peak channel temperature of the device can be reduced by 70 °C when the substrate is substituted from silicon carbide to a single crystalline diamond. These results are of great interest for the thermal management of GaN HEMT power devices and further device performance improvement.

Temperature influences resource selection and predation risk tolerance in a climate generalist

ContextThermal conditions can influence animal behavior and predator–prey dynamics. Understanding the effects of temperature on animals and their interactions is of increasing importance given predictions for global warming.ObjectivesWe determined how temperature influenced avoidance of risky areas and habitat selection in a climate generalist, white-tailed deer (Odocoileus virginianus; hereafter “deer”), and how the effect varied between night and day in a system characterized by extreme heat and high predation risk from Florida panther (Puma concolor coryi).MethodsWe collected GPS locations of 224 (79 M, 145F) deer from June through September 2015–2018 in southwestern Florida, USA. We fit step-selection functions with interactions between ambient temperature and covariates including landcover and a spatial model of predation risk informed by panther kill sites.ResultsAvoidance of high-risk areas decreased with rising temperatures during night and day, indicating deer were less predation risk averse when balancing higher thermoregulatory costs. As temperatures increased during the day, deer increased avoidance of marshes and hardwood hammocks. However, temperature had weaker effects on habitat selection at night with only a moderate increase in selection of marshes with increasing temperatures.ConclusionsIn systems characterized by extreme heat, thermal conditions can have strong effects on animal behavior and species interactions. While climate generalists like deer have high tolerances to thermal stress, temperature still influenced predation risk tolerance and habitat selection of deer during both day and night periods. These responses are likely even stronger in species with narrower thermal tolerances (i.e., climate specialists). Thermal conditions are an important and potentially underappreciated driver of species interactions that is likely to become more significant with climate change.

The impacts of climate and the extreme drought in 2018 on population growth in Swedish moth species

Abstract Insects are pivotal to ecosystem diversity and functionality, yet they face increasing threats from anthropogenic climate change impacts. A growing body of studies reports the effects of changing temperature and precipitation patterns, but relatively few studies focus on the consequences for insect populations because of extreme weather events. Here, we examine population growth responses to temperature, precipitation and the extreme summer drought in Sweden in 2018. For this purpose, we used longitudinal data for 54 moth species collected between 2005 and 2023 using light traps at three sites in southeastern Sweden. We found a positive relationship between temperature and population growth rates across all study sites, while precipitation showed a positive relationship at two sites and no effect at the third. The results indicated a negative time‐lag effect on population growth, at two of the sites, of precipitation the previous year, while there were no significant effects of temperature the previous year. Despite the extreme drought in 2018, moth populations remained resilient, with no dramatic decline in population growth between 2018 and 2019. Our results contrast earlier studies reporting severe declines in population growth in response to extreme drought events. The discrepancy may reflect a combination of region‐specific effects of extreme weather events and that selected species in this study predominantly consist of range‐expanding and migratory species, better able to withstand adverse conditions due to a higher climatic tolerance and being habitat and food plant generalists. Our findings underscore the importance of an increased knowledge of site‐specific responses and effects of extreme weather events such as droughts when outlining conservation efforts.

Hydrothermally grown cobalt phosphate hydrate microflowers for supercapacitors: Effect of reaction temperature

In this work, cobalt phosphate hydrate (Co3(PO[Formula: see text]8H2O) was deposited on Ni-foam using the facile hydrothermal method with varied reaction temperatures as 120°C, 150°C and 180°C. The X-ray diffraction analysis reveals the C2/m space group of cobalt phosphate hydrate (CoPH) with a monoclinic crystal structure. Scanning electron microscopy (SEM) evaluates the effect of different reaction temperatures on the morphology of deposited thin film. The change in morphology from microflakes to three-dimensional (3D) microflowers is observed due to temperature variation. In the electrochemical study, the C2 (150°C) electrode delivers a specific capacitance of 8798[Formula: see text]mF/cm2 (specific capacity 1.466[Formula: see text]mAh cm–2) at 30[Formula: see text]mA cm[Formula: see text] current density. Here, 70.65% of coulombic efficiency was observed over 1500 cycles. The energy density of 0.439[Formula: see text]Wh/cm2 and power density of 9[Formula: see text]mW/cm2 were delivered by optimized CoP electrodes, respectively. EIS study reveals the Rs values of C1, C2 and C3 electrodes are 1.49, 0.97 and 1.3 [Formula: see text], respectively.

Numerical simulation of fluid–structure interaction for solid rocket engine nozzle ablation

When a solid rocket engine is ignited, the throat lining of the nozzle is prone to chemical ablation owing to high-temperature gas erosion, resulting in thrust loss. In this paper, a coupled fluid–solid model for thermochemical ablation on the nozzle wall is established based on the multi-component Navier–Stokes equations, SST k-ω turbulence model, finite-rate chemical reaction model on the nozzle wall, variable transport properties of the nozzle material, and the heat conduction equation. Compared with the experimental data, the maximum error of the calculated ablation rate was 4.37%, validating the effectiveness of the model. Subsequently, the effects of different combustion chamber components, pressures, and temperatures on the ablation rate of the carbon–carbon (C/C) throat lining were studied. The results indicate that the temperature at the nozzle throat was the highest, resulting in the maximum ablation rate. As the Al mass fraction at the nozzle inlet increased, the thermochemical ablation rate of the nozzle decreased with a lower oxidizer mass fraction. The inlet pressure and temperature of the nozzle were positively correlated with the ablation rate, with the temperature having a more significant impact than the pressure. These findings provide theoretical guidance for the thermal protection design of rocket engine nozzles.

Cost–effective additive manufacturing of metal parts using pneumatic extrusion: investigation of the sintering process

Purpose The purpose of this study is to develop a low-cost and efficient method for 3D printing CuSn15 bronze alloy parts using a pneumatic extrusion system. By avoiding complex processes such as filament preparation and solvent/catalytic debinding, the study aims to streamline the low-cost production process of metallic components while maintaining high mechanical performance. The research also seeks to evaluate the effects of different sintering temperatures and times on the mechanical properties of the printed parts. Design/methodology/approach A simple and cost-effective pneumatic extrusion system was designed to 3D print a metal paste containing CuSn15 alloy powders. The metal paste was prepared by manually mixing of CuSn15 powders, carboxymethyl cellulose and distilled water. The printed parts were subsequently dried and sintered at various temperatures and times to study the effects of these parameters on the material properties. Tensile test and scanning electron microscope analysis were conducted to assess the structural integrity and mechanical performance of the samples. Findings The study found that the pneumatic extrusion system enabled the successful 3D printing of CuSn15 bronze alloy parts without the need for complex processes. Increasing sintering temperature led to improved mechanical properties and decreased porosity. Increasing the sintering time at 820 °C led to a reduction in mechanical performance. The study demonstrated that the sintering parameters significantly influence the porosity and mechanical properties of the printed parts. Originality/value This study introduces a novel approach to 3D printing CuSn15 bronze alloy using a pneumatic extrusion system, eliminating the need for traditional filament preparation and solvent/catalytic debinding processes. The research provides new insights into the effect of sintering parameters on the mechanical properties of additively manufactured metal parts. By simplifying the production process, this study offers a low-cost, efficient method for producing complex-shaped metallic components, potentially expanding the applicability of 3D printing in industries such as electronics, marine and mechanical engineering.

Effects of Extraction Temperature of Protein from Date Palm Pollen on the Astringency Taste of Tea

The astringency of tea, predominantly attributed to epigallocatechin gallate (EGCG), plays a crucial role in shaping its overall quality, and plant-based proteins are gaining popularity as a preferred alternative to milk-based proteins for enhancing the flavor profile of tea. This study investigated the impact of extraction temperature on date palm pollen (DPP) protein quality and tea astringency, comparing temperatures of 30 °C and 80 °C. Results indicated that higher extraction temperatures yield more protein and improve the thermal and surface properties of DPP. The molecular interaction between DPP and EGCG was investigated in an aqueous solution, and spectroscopic analyses (FTIR, UV, and CD) revealed that EGCG interactions at a 1:1 molar ratio induced structural changes in α-helix and β-sheet content in secondary structures in DPP, particularly at 80 °C, which strengthened and enhanced the hydrophobic interactions and hydrogen bonds between DPP molecules as EGCG concentration increased. A sensory evaluation using quantitative descriptive analysis (QDA) confirmed a significant reduction in astringency in DPP–tea polyphenol solutions extracted at 80 °C. This research highlights the potential of DPP as a functional ingredient in the food industry, creating a protein-polyphenol complex that reduces tea’s astringency while maintaining its unique flavor profile, thus offering a novel approach to enhance tea beverages.

The effect of storage time and temperature on the proteomic analysis of FFPE tissue sections

Formalin-fixed paraffin-embedded (FFPE) tissues present an important resource for cancer proteomics. They are more readily available than fresh frozen (FF) tissues and can be stored at ambient temperature for decades. FFPE blocks are largely stable for long-term preservation of tumour histology, but the antigenicity of some proteins in FFPE sections degrades over time resulting in deteriorating performance of immunohistochemistry (IHC). It is not known whether FFPE sections that have previously been cut from blocks and used for liquid chromatography-mass spectrometry (LC–MS) analysis at a later time are affected by storage time or temperature. We determined the stability of FFPE sections stored at room temperature (RT) versus − 80 °C over 48 weeks. The stored sections were processed at different timepoints (n = 11) and compared to sections that were freshly cut from FFPE blocks at each timepoint (controls). A total of 297 sections (rat brain, kidney and liver stored at RT, − 80 °C or freshly cut) were tryptically digested and analysed on TripleTOF 6600 mass spectrometers in data-dependent acquisition (DDA) mode. Kidney and liver digests were also analysed in data-independent acquisition (DIA) mode. The number of proteins and peptides identified by DDA with ProteinPilot and some common post-translational modifications (PTMs) were unaffected by the storage time or temperature. Nine of the most common FFPE-associated modifications were quantified using DIA data and all were unaffected by storage time or temperature. Therefore, FFPE tissue sections are suitable for proteomic studies for at least 48 weeks from the time of sectioning.

Effect of fine-tuned growth temperature on structural, morphological, optical, and electrical properties of Cu2O nanoparticles as candidates for supercapacitor applications

Abstract Cuprous oxide (Cu2O) nanoparticles are promising candidates for optoelectronic and energy applications due to their unique p-type semiconducting nature, optical and electrical properties. This work studies the impact of carefully controlled growth temperature on the structural and morphological, and electrical characteristics of Cu2O nanoparticles synthesized via a coprecipitation method under various temperatures (45°, 55°, 65°, and 75°C). The X-ray diffraction (XRD) analysis indicated a high crystallinity for the fabricated Cu2O nanoparticles with an average crystallite size of approximately (~29 nm), The TEM observations indicate an average particle size of approximately (~50 nm) nanometres. SEM results demonstrated a morphological transition from spherical-cubic to cubic as the aging temperature increased. The electrical properties of the prepared nanoparticles were investigated through AC conductivity and dielectric measurements were taken between 300 K and 550 K temperature range and frequencies ranged from 100 Hz to 5 MHz. Cu2O nanoparticles enhance supercapacitor performance by providing high dielectric constant at low frequencies, improving energy storage, and increasing AC conductivity for efficient charge transport. Their temperature-dependent behaviour and ability to minimize energy losses make them ideal for high-frequency and high-temperature applications. Our findings highlight the exceptional dielectric properties of Cu2O nanoparticles and their remarkable sensitivity to subtle changes in growth temperature. This fine-tuning of the growth conditions allows for the optimization of nanoparticle properties, these characteristics make them suitable candidates for supercapacitor energy applications and other emerging optoelectronic devices.