Dominant Properties Research Articles

Flow Shop Scheduling with Shortening Jobs for Makespan Minimization

This paper deals with a two-machine flow shop problem with shortening jobs. A shortening job means that the job’s processing time is a decreasing function of its starting time. The aim is to find a sequence that minimizes the makespan of all the jobs. several dominance properties, some lower bounds, and an initial upper bound are derived, which are applied to propose a branch-and-bound algorithm to solve the problem. We also propose some heuristics and mathematical programming. Computational experiments are conducted to evaluate the performance of the proposed algorithms.

Finding the Dominant Properties of Porous Media: An Example of Fluid Flow

Finding the Dominant Properties of Porous Media: An Example of Fluid Flow

Dominant species modulates nitrogen effects on the temporal stability of above- and below-ground biomass in a temperate desert steppe.

The temporal stability of above-ground biomass (AGB) and below-ground biomass (BGB) in grasslands is crucial for maintaining a continuous supply of ecosystem functions and services, particularly in the context of global changes. Nitrogen (N) addition is well known to affect AGB stability, however, we still lack knowledge of how N addition affect BGB stability. Furthermore, a crucial knowledge gap remains regarding which underlying mechanisms drive AGB and BGB stability, which obstructs our comprehensive awareness of biomass stability from both above- and below-ground perspectives simultaneously. Through a five-year manipulative experiment with seven N addition levels, we tested how AGB and BGB stability responded to N addition and which factors modulated the effects of N addition on stability. Using a framework developed to quantify changes in biomass stability, we investigated the relative contributions of dominant species, taxonomic diversity, functional diversity, species asynchrony, species stability and soil properties in driving AGB and BGB stability. We found that N addition enhanced AGB stability directly and indirectly through the modulatory effects of dominant species. N addition increased dominance of fast species, causing high community-weighted mean (CWM) fast-slow and further high species asynchrony. Large increases in species asynchrony and weak decreases in dominant species stability, rather than decreases in species richness, were crucial factors driving AGB stability. Additionally, increased CWM fast-slow enhanced BGB stability, although this positive effect was partially offset by a slight decrease in soil water content (SWC). Our results broaden the insurance hypothesis and the mass ratio hypothesis, providing new insights into how N addition affects biomass stability and underlying driving mechanisms in a temperate desert steppe. These findings emphasize that dominant species and CWM fast-slow play crucial modulatory roles in driving biomass stability. Therefore, it is very necessary to pay attention to dominant species and functional diversity, in order to provide guidance for the sustainable functions and services in species-poor drylands.

Evaluation of the Effect of Precursor NMC622@TiO2 Core-Shell Powders Using a Prelithiated Anode from Fig Seeds: Spotlight on Li-ion Full-Cell Performance.

In this study, innovative electrode materials for lithium-ion batteries (LIBs) were developed and characterized, demonstrating significant performance enhancements. Initially, NMC622@TiO2 was synthesized using a wet-chemical method with titanium(IV) ethoxide as the Ti source. Advanced structural investigations confirmed the successful formation of a core@shell structure with negligible cation mixing (Li+/Ni2+) at the NMC622 surface, contributing to enhanced electrochemical performance. Subsequently, carbon-based anode materials were produced from biomass, specifically fig seeds, and subjected to high-temperature heat treatment. The resulting powders exhibited dominant graphitic properties, evidenced by a Raman ID/IG ratio of 0.5. Electrochemical evaluations of both electrode materials were conducted using half-cell configurations. The optimization of the TiO2 coating process was assessed through half-cell performance metrics and diffusion rates calculated from galvanostatic intermittent titration technique (GITT) experiments. The final phase focused on full-cell design, employing a prelithiation strategy for anodes using a direct contact technique. Optimization of the prelithiation process led to the assembly of full cells combining NMC622/prelithiated fig-seed anodes and NMC622@TiO2/prelithiated fig-seed anodes. The results revealed that TiO2-coated NMC622, paired with prelithiated carbon anodes derived from fig seeds, delivered superior performance compared to uncoated NMC622 full cells. This study underscores the potential of biomass-derived carbon anodes and TiO2 coatings in enhancing the efficiency and performance of LIBs.

A multi-objective artificial bee colony algorithm for single machine scheduling with family setup under TOU tariffs

Time-of-use (TOU) electricity tariffs have been widely implemented in the manufacturing industry in many countries. This paper investigates a single machine scheduling problem involving incompatible job families with sequence-dependent setup times to minimise total electricity cost and total tardiness simultaneously. To tackle this problem, we propose a multi-objective artificial bee colony (MABC) algorithm. Utilising the dominance properties of the problem, we develop tailored heuristics aimed at improving the quality of initial food sources, and design multi-directional neighbourhood structures to explore desirable neighbour solutions along each objective direction. We construct a novel fitness function that not only considers Pareto rank but also incorporates the hypervolume contribution indicator to identify the promising solution space. Moreover, local integer programming is embedded into the MABC algorithm to intensify the search towards Pareto solutions. The experimental results indicate that the MABC algorithm performs significantly better than NSGA-II, SPEA2, and MOEA/D algorithms.

(Invited) Achieving Erosion Less Designing Cu- and Isolation-Film Polishing-Rate Selectivity in Cu-Film Chemical Mechanical Planarization

Design of logic devices has been scaled down up to several nm (i.e., 5, 4, 3, 2, and 1.8 nm). This scale-down has accompanied a rapid scale-down of the Cu-line width, increasing Cu-line pattern density. The Cu-line formation essentially requires Cu-film CMP, producing the detrimental defects such as dishing, erosion, and edge over erosion (E.O.E) after Cu-film CMP. Particularly, erosion and E.O.E intensively depend on the Cu-line width, and Cu-line pattern density, degrading device operating speed and yield. However, erosion and E.O.E have not been reported clearly.In this study, unlike conventional Cu-film CMP slurries, for achieving erosion- and E.O.E-less in nanoscale Cu-line pattern CMP, 1-step Cu-line CMP process was designed using a Cu bulk CMP slurry performing remarkably high polishing-rate via surface chemical oxidation layer formation using halide oxidant (i.e., H5IO6) and a Cu barrier-metal (BM) slurry conducting hindrance layer formation using inhibitor (i.e., BTA). Using designed Cu bulk and BM slurries with 100-nm-diameter colloidal silica abrasives could achieve erosion-less for the Cu-line pattern density of 5 ~ 55%, but a high amount of E.O.E remained for all Cu-line pattern density after CMP, as shown in Fig. 1. Thus, the dependencies of erosion and EOE on polishing-rate selectivity between Cu- and Isolation-films were investigated for achieving both erosion- and EOE-less. In our presentation, we will prove the mechanism of the selectivity on Cu- and Isolation-film. In addition, we will present the dependencies of the chemical dominant polishing properties (i.e., OH radical, chemical oxidation degree of the Cu- and Isolation-film surface, chemical composition of chemical oxidation, slurry absorption degree, and corrosion potential and current) as well as the mechanical dominant polishing properties (i.e., electrostatic force between abrasives and Cu- and Isolation-film surface) on the inhibitor concentration. Acknowledgment This research was supported by the MOTIE(Ministry of Trade, Industry & Energy (1415180388) and KSRC(Korea Semiconductor Research Consortium) (20019474) support program for the development of the future semiconductor device, and by the Brain Korea 21 PLUS Program and the Samsung Electronics’ University R&D program. Figure 1

Sulfate Radical Oxidation for Enhancing Polishing-Rate Forhardmask-Film Chemical–Mechanical-Planarization

Recently, to scale down semiconductor devices less than several nm (i.e.,m 5, 4, and 3 nm), lithography using a 193 nm ArF excimer laser, extreme ultraviolet lithography (EUVL), and 13.8 nm laser-produced plasma were applied. However, since photoresist patterns with a high aspect ratio could easily result in collapse of photoresist patterns, a carbon polymer hardmask between the photoresist and the substrate film has been introduced. The carbon polymer hardmask produces a high surface topography induced by pattern density, requiring chemical-mechanical planarization (CMP) for removing such surface topography. Although, the demand for hardmask-film CMP slurries performing high polishing-rate has been increased, the improving the carbon polymer hardmask-film polishing-rate has been considered difficult because of its hardenss caused by C-C sp3 and C-C sp2 covalant bonds. In this study, as a solution, unlike conventional oxidizing agent such as hydrogen peroxide(H2O2), sulfate radical oxidant (i.e., Patassium persulfate) was used in the hardmask-film CMP slurry for acheiving high quality surface roughness and enhancing hardmask-film polishing-rate. The new designed CMP slurry evidently accomplished hardmask surface oxidation via transformation from C-C sp3 and C-C sp2 covalent bonds to C-O bond during CMP, resulting an extremely high polishing-rate (i.e., 300 Å/min) and high quality surface roughness (i.e., 0.36 nm at 5x5 um2) at the sulfate radical oxidant concentration of 1 wt%. In our presentation, we will prove the mechanism of the sulfate radical oxidation on the polished hardmask-film surface. In addition, we will present the dependencies of the chemical dominant polishing properties (i.e., OH radical, chemical oxidation degree of the Ag-film surfcae, chemical composition of chemical oxidation, and slurry adsortion degree) as well as the mechanical dominant polishing properties (i.e., electrostatic force between abrasives and hardmask-film surface) on the surfate oxidant concentration. Acknowledgment This research was supported by the MOTIE(Ministry of Trade, Industry & Energy (1415180388) and KSRC(Korea Semiconductor Research Consortium) (20019474) support program for the development of the future semiconductor device, and by the Brain Korea 21 PLUS Program and the Samsung Display Co. Ltd. Figure 1

QUASI-ERGODICITY OF COMPACT STRONG FELLER SEMIGROUPS ON $L^2$

Abstract We study the quasi-ergodicity of compact strong Feller semigroups $U_t$ , $t> 0$ , on $L^2(M,\mu )$ ; we assume that M is a locally compact Polish space equipped with a locally finite Borel measue $\mu $ . The operators $U_t$ are ultracontractive and positivity preserving, but not necessarily self-adjoint or normal. We are mainly interested in those cases where the measure $\mu $ is infinite and the semigroup is not intrinsically ultracontractive. We relate quasi-ergodicity on $L^p(M,\mu )$ and uniqueness of the quasi-stationary measure with the finiteness of the heat content of the semigroup (for large values of t) and with the progressive uniform ground state domination property. The latter property is equivalent to a variant of quasi-ergodicity which progressively propagates in space as $t \uparrow \infty $ ; the propagation rate is determined by the decay of . We discuss several applications and illustrate our results with examples. This includes a complete description of quasi-ergodicity for a large class of semigroups corresponding to non-local Schrödinger operators with confining potentials.

Polyurethanes Made with Blends of Polycarbonates with Different Molecular Weights Showing Adequate Mechanical and Adhesion Properties and Fast Self-Healing at Room Temperature.

Dynamic non-covalent interactions between polycarbonate soft segments have been proposed for explaining the intrinsic self-healing of polyurethanes synthesized with polycarbonate polyols (PUs) at 20 °C. However, these self-healing PUs showed insufficient mechanical properties, and their adhesion properties have not been explored yet. Different PUs with self-healing at 20 °C, acceptable mechanical properties, and high shear strengths (similar to the highest ones reported in the literature) were synthesized by using blends of polycarbonate polyols of molecular weights 1000 and 2000 Da (CD1000 + CD2000). Their structural, thermal, rheological, mechanical, and adhesion (single lap-shear tests) properties were assessed. PUs with higher CD1000 polyol contents exhibited shorter self-healing times and dominant viscous properties due to the higher amount of free carbonate groups, significant carbonate-carbonate interactions, and low micro-phase separation. As the CD2000 polyol content in the PUs increased, slower kinetics and longer self-healing times and higher mechanical and adhesion properties were obtained due to a dominant rheological elastic behavior, soft segments with higher crystallinities, and greater micro-phase separation. All PUs synthesized with CD1000 + CD2000 blends exhibited a mixed phase due to interactions between polycarbonate soft segments of different lengths which favored the self-healing and mobility of the polymer chains, resulting in increased mechanical properties.

Excessive Pharmaceutical Pricing and Repercussions on Paediatric Health Services

Context: Paediatric pharmaceutics have a significant share in expensive drugs. Recent years have seen significant calls for intervention against high prices for pharmaceutical products. The prohibition of prices that are excessive as a form of abuse of dominance is considered as Competition law violation in the European Union Law and national legal orders of its Member States. Majority of the Organization for Economic Cooperation and Development (OECD) member countries have similar prohibitions in their respective Competition laws with important exemption of United States (US) Antirust Law, although there is some indication of change in US exactly in the area of pharmaceutical sector. Regulation of excessive prices also exists in Competition laws of all BRICS (Brazil, Russian Federation, India, China, and South Africa) countries. The problem of excessive prices in pharmaceutics is one of the emerging themes in Competition law literature and case law development. This is the area where intellectual property rights, usually patent protection, collide with competition rules. Costs of research and development for such pharmaceutics are often very high emphasizing the need for balance between colliding legitimate interests: access to health and research development. Aim: To present regulatory and case law development of application of excessive prices as form of abuse of dominance in pharmaceutical sector with emphasis on paediatric health services. Data source: OECD, PubMed, Google Scholar, Scopus. Conclusion: Balance between competition rules on excessive prices as form of abuse of dominance and intellectual property rights in the area of expensive paediatric pharmaceutics can be regarded as suboptimal. Thus, there is a need for further regulatory development and application of rules on excessive prices in that field.

A Thermal Model for a Hybrid Gas Bearing System in Oil-Free Turbochargers

Abstract With little drag friction, gas bearings operate at high rotor speed and high temperature and thus enable long operating life along with material damping for mechanical energy dissipation. However, most computational tools for modeling gas bearings are not accessible to bearing manufacturers or potential end-users, and the models are restricted to specific geometries and operating conditions or are missing important features, thus limiting their utility. This paper presents the thermal energy transport in a hybrid gas bearing (HGB) for oil-free turbochargers (TCs) with integrated heat and fluid flow models to produce a comprehensive thermohydrodynamic analysis predictive tool and to design and evaluate air-lubricated gas bearings by predictions and experiments. An efficient algorithm couples the solution of the Reynolds equations and the thermal energy transport equations in the film between the rotor and a pad of the hybrid gas bearing and updates the temperature-dependent viscosity and film thicknesses during the iterative process. The balance of the bulk-flow thermal energy transport is that the summation of drag power losses plus heat convection into the film equals to the thermal energy advected by the film. The predictions show that the film temperature varies along circumferential and axial directions by following the balance of the energy flows and shows high film temperatures corresponding to the small film thicknesses and thus large film pressures. The predicted result also shows that the peak temperature of the film occurs at the exit side of the film near the trailing edge of each pad. Thermocouples installed axially at the leading and trailing edges of each pad measure temperature of the film to validate the thermal module. The test repeats and averaged for each rotor speed from 2 krpm to 22 krpm at intervals of 2 krpm, for supply pressure varying along 25 psi to 100 psi, and predicted film temperature matches well with the measured one. The parameters of interest in this analysis include the gas supply condition, bearing configuration, and the gas properties at high altitudes and high rotation speeds. The parametric study results show that the density and kinematic viscosity are the most dominant properties of the gas lubrication for the film temperature.

A spectral dominance approach to large random matrices: Part II

This paper is the second of a series devoted to the study of the dynamics of the spectrum of large random matrices. We precise and extend some results of the first part. We study general extensions of the partial differential equation arising to characterize the limit spectral measure of the Dyson Brownian motion. We provide a regularizing result for those generalizations. We also show that several results of part I extend to cases in which there is no spectral dominance property. We then provide several modeling extensions of such models as well as several identities for the Dyson Brownian motion.

Effects of manure and nitrogen fertilization on soil microbial carbon fixation genes and associated communities in the Loess Plateau of China

The effects of long-term fertilization on soil carbon (C) cycling have been a key focus of agricultural sustainable development research. However, the influences of different fertilization treatments on soil microbial C fixation profiles are still unclear. Metagenomics technology and multivariate analysis were employed to inquire changes in soil properties, soil microbial C fixation genes and associated bacterial communities, and the influence of dominant soil properties on C fixation genes. The contents of soil C and nitrogen fractions were signicficantly higher in manure or combined with nitrogen fertilization (NM) than other treatments. The composition of soil microbial C fixation genes and associated bacterial communities varied among different fertilization treatments. Compared with other treatments, the total abundance of microbial C fixation genes and the abundance of Proteobacteria were significantly higher in NM than in other treatments, as well as the abundances of C fixation genes involved in dicarboxylate/4-hydroxybutyrate cycle and reductive citrate cycle. Key functional genes and main bacterial communities presented in the middle of the co-occurrence network. Soil organic carbon, total nitrogen, and microbial biomass nitrogen were the dominant soil properties influencing microbial C fixation genes and associated bacterial communitis. Fertilization increased the abundance of C fixation genes by affecting the changes in bacterial communities abundance mediated by soil properties. Overall, elucidating the responses of soil microbial C fixation genes and associated communities to different fertilization will enhance our understanding of the processes of soil C fixation in farmland.

Effect of gamma and neutron irradiations on the physical, magnetic and electrical properties of Ni–Cu–Cd nano-ferrites

The physical, magnetic and electrical properties variations for the sol-gel auto combustion synthesized Ni0.3Cu0.2Cd0.5Fe2O4 by gamma (γ) and neutron irradiations dose applications are studied in this research. The irradiation have been done through 2.0 × 1011 and 1.9 × 1012 cm−2s−1 per min fast neutron flux and γ rays from the research reactor of TRIGA MARK-II and 64 KCi cylindrical 60Co source respectively within room temperature. The rate of 1 Mrad and 3 Mrad dose is 1.067 Mrad/h. XRD results show greater intensities for the irradiation doses. Due to the redistribution of ions, changes in the lattice constant have been found by the irradiation through the results of XRD and Rietveld Refinement process. The saturated magnetization obtained from the VSM is found to decrease first by the irradiation and then increase drastically. This analysis is performed by the popular pulse field technique of hysteresis loop for nano ferrites and further analyzed by LAS. The frequency dependent characteristics such as dielectric constant, electric modulus, impedance analysis and ac conductivity are inspected for all samples with both types of irradiation process. The electrical modulus Cole-Cole plots insure the dominant property as electric stiffness for investigated ferrties. Extreme decrease has been found in the dielectric natures which also show good agreement in the higher ac conductivity nature at the higher frequencies. Electrical parametric dependent overlapping two semicircles which are not complete have been found in the plots of Cole-Cole for impedance data. The energy of activation for the process of diffusion decreases by the irradiation.

A note on the U-Dunford-Pettis operators

The purpose of this note is to give a correct proof of the theorem that concerns the domination property of the class of U-Dunford-Pettis operators obtained by O. Aboutafail, K. El Fahri, J. H’Michane and L. Zraoula [On the class of U-Dunford-Pettis operators, Quaestiones Mathematicae 45(4) (2022), 655–666]. Also, we investigate necessary and sufficient conditions under which U-Dunford–Pettis operators between Banach lattices must be Dunford–Pettis.

Secure equitable subdivision number of graphs

A dominating set S of a graph G(V, E) is called a secure dominating set, if for each vertex x belongs to V(G) \ S there exists at least one vertex y in S such that y belongs to the neighbourhood of x and a vertex y can be replaced by a vertex x without losing domination property. A secure dominating set S is a secure equitable dominating set if for each x in V(G) \ S and the vertex y in S, which replaces x, we have |deg(x)-deg(y)| is less than or equal to 1. In this paper, we initiate the study of a new domination parameter, the secure equitable subdivision number of graphs. Also, we introduce the definitions of the secure equitable subdivision critical graphs and the secure equitable subdivision stable graphs. Further, we study the construction of a secure equitable subdivision critical graph.

Theoretical Strong-line Metallicity Diagnostics for the JWST Era

The ratios of strong rest-frame optical emission lines are the dominant indicators of metallicities in high-redshift galaxies. Since typical strong-line-based metallicity indicators are calibrated on auroral lines at z = 0, their applicability for galaxies in the distant Universe is unclear. In this paper, we make use of mock emission-line data from cosmological simulations to investigate the calibration of rest-frame optical emission lines as metallicity indicators at high redshift. Our model, which couples the simba cosmological galaxy formation simulation with cloudy photoionization calculations, includes contributions from H ii regions, post-asymptotic-giant-branch stars, and diffuse ionized gas (DIG). We find mild redshift evolution in the 12 indicators that we study, which implies that the dominant physical properties that evolve in our simulations do have a discernible impact on the metallicity calibrations at high redshifts. When comparing our calibrations with high-redshift auroral line observations from the James Webb Space Telescope, we find a slight offset between our model results and the observations and find that a higher ionization parameter at high redshifts can be one of the possible explanations. We explore the physics that drives the shapes of strong-line metallicity relationships and propose calibrations for hitherto unexplored low-metallicity regimes. Finally, we study the contribution of DIG to total line fluxes. We find that the contribution of DIG increases with metallicity at z ∼ 0 for singly ionized oxygen and sulfur lines and can be as high as 70%, making it crucial to include their contribution when modeling nebular emission.

Mulching drive changes in soil microbial community assembly processes and networks across aggregate fractions

Soil microbial community assembly processes and networks in croplands have been widely explored; however, their dynamics and how they regulate winter wheat yield across distinct soil aggregate fractions under the combined effects of mulching and soil horizons have not been comprehensively understood. Therefore, based on a 9-y field experiment, the responses of soil bacterial and fungal community assembly processes and interkingdom association networks to mulching were specifically investigated at the soil aggregation level. Soil properties and microbial biomass were separated into distinct mulching in the topsoil (0–10 cm), and soil water content was considered the most critical factor. The soil bacterial community was affected mainly by mulching and soil horizon compared with the fungal community in microaggregates (<0.25 mm). Notably, the bacterial community displayed more robust stochastic processes than the fungal one, and microbial interkingdom association networks were more complex and stable in micro-than macroaggregates. Soil potential carbon mineralization, pH, and total nitrogen were the dominant properties regulating winter wheat grain yield in combination with microbial community composition, assembly processes, and networks in each soil aggregate class. Wheat yield decreased under straw mulching and was mainly regulated by bacterial community composition and assembly processes. Thus, this study enhanced our understanding of the regulations for wheat yield, which could facilitate soil microbial community management at the aggregation level for sustainable crop production in mulching conservation agroecosystems.

Hub production scheduling problem with mold availability constraints

This research delves into a scheduling challenge inherent in the wheel hub casting process, a critical stage in automotive wheel manufacturing. The process involves shaping molten metal into specific wheel hub designs using dedicated molds. Diverse customer demands necessitate a unique mold for each wheel hub design, posing a scheduling challenge due to the limited availability of these expensive and long-lasting molds. There are 2 machines available for casting. Each wheel hub design requires a specific mold. These molds are expensive, long-lasting, and need periodic maintenance. The objective function is to minimize the total time (makespan) to complete all casting jobs. Only one job requiring a specific mold can be processed at a time (due to mold limitations). Molds are unavailable during maintenance periods. The challenge lies in scheduling jobs considering both machine availability and mold constraints to minimize the overall production time. We formulate a mathematical model using mixed integer programming to precisely represent the problem and its constraints. Inspired by the Longest Processing Time (LPT) rule, we propose a heuristic named LRTPT to efficiently schedule jobs on the two machines. For large-scale problems, we employ a novel SIAIS algorithm to find near-optimal solutions effectively. We also present a dedicated branch and bound algorithm specifically tailored to solve smaller-sized instances of the problem. This algorithm leverages two lower bounds and several dominance properties to expedite the search for the optimal solution. To evaluate the effectiveness of our proposed approaches, we conduct a series of comprehensive experiments. The results demonstrate that the branch and bound algorithm significantly outperforms the widely used optimization solver CPLEX for smaller problems. Furthermore, the SIAIS algorithm proves to be more efficient than existing scheduling heuristics.

Unveiling the potency of tetrahydropalmitine as a green anticorrosion material for 2024 aluminum alloy in acid-chloride environments

2024 aluminum alloy has garnered attention from researchers because of its numerous applications in the oil and gas, aerospace, and marine sectors. However, its constituent high Cu content (the primary alloying element) poses a significant challenge to its use, particularly in applications that demand high corrosion resistance. This is particularly troubling in oxygen-containing chloride systems. Herein, we developed a protection strategy for 2024 Al alloy in an acid-chloride environment (composed of 0.5 M NaCl and 0.25 M H2SO4) using natural tetrahydropalmitine (THP) isolated from Corydalis yanhusuo. THP was effectively characterized from its 1H NMR, 13C NMR, and FTIR spectra, and its anticorrosion potentials were methodically investigated by electrochemical, gravimetry and theoretical experiments. Upon the addition of THP to the test system, EIS measurements revealed a steady increase in the Nyquist semicircles, as well as the Bode impedance and phase angle plots, attaining an optimum inhibition efficiency of 91.5 % at 2.0 g/L THP. Tafel plots manifested mixed-type anticorrosion effects with dominant cathodic properties, ascribed to the ordered shielding effect of both the hydrogen evolution reaction and the oxidation of oxide-free ions. According to gravimetric corrosion assessment, the 2024 Al alloy mainly retained its protection over time in the presence of THP, exhibiting only minor decline in its protectability. This is attributed to the combined effect of stable oxide film formation and the adsorbed THP on the alloy surface. SEM afforded the proof of THP adsorption on 2024 Al while XPS offered clarity into its anticorrosion mechanism. Conceptual DFT parameters, molecular electrostatic potential and molecular dynamics simulation were used to comprehend the inhibition process of THP on Al surface. Generally, THP was proven to be a viable and sustainable bio-based anticorrosion material for the protection of 2024 Al alloy.