Vibrational Properties Research Articles

Uncovering low-frequency vibrations in surface-enhanced Raman of organic molecules

Accessing the terahertz (THz) spectral domain through surface-enhanced Raman spectroscopy (SERS) is challenging and opens up the study of low-frequency molecular and electronic excitations. Compared to direct THz probing of heterogenous ensembles, the extreme plasmonic confinement of visible light to deep sub-wavelength scales allows the study of hundreds or even single molecules. We show that self-assembled molecular monolayers of a set of simple aromatic thiols confined inside single-particle plasmonic nanocavities can be distinguished by their low-wavenumber spectral peaks below 200 cm−1, after removal of a bosonic inelastic contribution and an exponential background from the spectrum. Developing environment-dependent density-functional-theory simulations of the metal-molecule configuration enables the assignment and classification of their THz vibrations as well as the identification of intermolecular coupling effects and of the influence of the gold surface configuration. Furthermore, we show dramatically narrower THz SERS spectra from individual molecules at picocavities, which indicates the possibility to study intrinsic vibrational properties beyond inhomogeneous broadening, further supporting the key role of local environment.

Damping properties of some tropical wood species determined by free transverse vibration method

ABSTRACT This article describes a non-destructive method for determining the damping properties of wood. It was based on the analysis of the attenuation of the free transverse vibrations of a fixed support-free specimen following excitation. Cameroonian forests abound important species that were much in demand for structural applications and were often subjected to dynamic loads. However, in the literature and in the available databases, very little information was available on the vibration properties of these wood species. To solve this problem, three specimens of twenty-four wood species with a cross-section of 10 × 20 mm, with a length of 1600 mm were prepared and subjected to a free vibration test in the fixed support-free configuration. The accelerations as a function of time were obtained. By transforming the recorded accelerations into displacements, it was allowed to determine the logarithmic decrement by mean the first twenty-one amplitudinal peaks. Thanks to the interrelationships, the viscous damping ratio, loss factor, quality factor and specific damping ratio were deduced. The results obtained were relatively variable between species. Compared with the data available in the literature for the same species, there was a considerable difference.

Machine‐learning interatomic potentials for pyrolysis of polysiloxanes and properties of SiCO ceramics

AbstractWe present machine‐learning interatomic potentials (MLIPs) for simulations of Si–C–O–H compounds. The MLIPs are constructed from moment tensor potentials (MTPs) and were trained to a library of configurations that included polysiloxane structures, hypothetical crystalline and amorphous SiCOH structures, and trajectories of Si–C–O–H systems obtained via ab initio molecular dynamic (aiMD) simulations at elevated temperatures. Passive, active, and hybrid learning strategies were implemented to develop the MLIPs. The MLIPs reproduce vibrational properties of polymers and SiCOH structures obtained from aiMD simulations, thus providing a tool to identify chemical units and distinct structural characteristics through their vibrational properties. Simulations of the polymer‐to‐ceramic transformation show the development of mixed tetrahedra in SiCO ceramics and align with experimental observations. Million‐atom simulations for several nanoseconds highlight the precipitation of graphitic nanosheets from a carbon‐rich SiCO precursor. Atomistic simulations with the MLIPs deliver details of chemical reaction mechanisms during the pyrolysis of polysiloxanes, including methane abstraction and Kumada‐like rearrangements that transform the siloxane backbone. While the MLIPs still leave room for systematic improvement, they deliver simulations with “density functional theory (DFT)‐like” quality at low and high temperatures.

Magnetic transition magnetocaloric and supercapacitor behavior in synthesized Sn0.6Mn0.1Ge0.3Te alloys

This study comprehensively investigates the structural, microstructural, vibrational, magnetic, and magnetocaloric properties of novelty Sn0.6Mn0.1Ge0.3Te alloys synthesized using the sealed tube solid-state reaction method. The observed magnetic behavior showcases a transition from paramagnetic (PM) to ferromagnetic (FM) phases at the Curie temperature TC = 29 K. Notably, magnetic entropy change (−ΔSM), relative cooling power (RCP), and refrigerant capacity (RC) are calculated as 1.5 J/kg-K, 42.05 J/kg, and 37.39 J/kg, respectively, under a magnetic field of 60 kOe. Arrott curve analysis further validates the magnetic phase transition, affirming a second-order transition between FM and PM phases. Critical exponents (β, γ, and δ) are derived from field-dependent magnetic entropy changes around the second-order transition and strongly agree with the mean field model. These critical exponents establish a clear correlation between critical behavior and magnetocaloric effects, reinforcing the potential of Sn0.6Mn0.1Ge0.3Te alloys for magnetocaloric applications. Investigations into the electrochemical properties of the alloy have indicated that it exhibits a specific capacitance of 152.9 F/g at a scan rate of 20 mV/s, demonstrating a predominantly pseudocapacitive charge storage mechanism. Additionally, the alloy has proven to be highly stable, retaining 94.2 % of its specific capacitance after 10,000 cycles.

Performance and sensitivity mechanism of the 1,3,5-trinitro-2,4,6-trinitroaminobenzene (TNTNB)

Recently, a new type of high-energy explosive (TNTNB) has been synthesized. Before fully understanding its detonation performance and safety features, it is necessary to conduct certain studies on its basic physical properties. For this purpose, we have employed first-principles methods to investigate the structural, electronic, vibrational, and thermal properties of TNTNB. The optimized lattice parameters of TNTNB crystals differ from the experimental values by less than 2 %. The electronic properties calculation results show that TNTNB has an indirect bandgap of 2.1508 eV. The phonon dispersion and density of phonon states indicate that its phonon bath modes region is 0–245 cm−1, and the doorway modes region is 245–735 cm−1. Additionally, the calculated energy transfer rate is 3.460 × 1012 J/K/mol, and the phonon-vibration coupling coefficient is 3.31. The zero-point energy calculated from the density of phonon states is 1669.06 kJ/mol, and the isochoric heat capacity at 300 K is 1441.48 J/K/mol.

Revealing vibrational, elastic, electro-optic, and thermoelectric aspects of double perovskites Na2ScCuX6 (X=Cl, Br) for energy harvesting applications by implementing DFT approach

Currently, the novel combination of double perovskites Na2ScCuX6 (X = Cl, Br) is being investigated as a potential solution to fulfil the energy requirements. For this purpose, the stability, vibrational, mechanical, electro-optic, and transport properties are addressed systematically. The tolerance factor and Born mechanical criteria ensure structural and mechanical stabilities. The calculated formation and Gibbs free energies ensure the thermal stabilities. Thermodynamic properties against temperature and pressure are explored by discussing entropy, thermal expansion, and Debye temperature. The elastic characteristics have provided insight into anisotropy and mechanical strength. Meanwhile, ductile nature is characterized by the Poisson ratio and Pugh's ratio. The electronic aspects have estimated the band gaps of Na2ScCuCl6 and Na2ScCuBr6, which yielded values of 1.63 and 1.58 eV, respectively. The materials demonstrated substantial light absorption (order of 105 cm−1) and minimal reflectivity (below 25 %) in the visible range. The thermoelectric performance has been evaluated in the temperature range of 100–600K using the Seebeck effect, conductivities, and figure of merit. Lastly, the superior figure of merit (ZT) values ranging between 0.78 and 0.84 demonstrate the suitability of materials for thermal energy conversion. Therefore, Na2ScCuCl6 and Na2ScCuBr6 have the potential to be considered feasible candidates for energy harvesting applications.

Density functional theory and spectroscopic analysis of stigmasterol from Garcinia wightii: Deciphering its inhibitory potential against drug-resistant tuberculosis via insilico molecular docking and molecular dynamics simulations

This study investigates the molecular structure and electronic properties of stigmasterol, isolated from Garcinia wightii, using density functional theory (DFT) alongside experimental techniques including FT-IR, FT-Raman, UV–Vis, 1H and 13C NMR spectroscopy. Theoretical predictions are compared with experimental results, facilitated by vibrational energy distribution analysis for unambiguous vibrational wavenumber assignments. Natural bond orbitalanalyzes reveal donor-acceptor bond energies and electron densities, while Fukui functions identify reactive sites susceptible to electrophilic and nucleophilic attacks. Electronic properties are further explored through various analyzes, unveiling reactive surface sites. Non-covalent interactions are examined using reduced density gradient analysis. Assessment of absorption, distribution, metabolism, and excretion attributes aids in drug discovery efforts. Molecular docking studies against 20 target proteins for antitubercular screening show a stable glide score of -9.52 kcal/mol for the protein 4FDO (Mycobacterium tuberculosis DprE1 in complex with CT319). Molecular dynamics simulations over 100 ns indicate the stability of the ligand-protein complex, suggesting its potential as an antituberculosis agent. Stigmasterol's structural, vibrational, electronic, and topological properties are thoroughly investigated, revealing its ring skeleton with a flexible isooctyl side chain, adhering to C1 point group symmetry. Steric and stereo electronic interactions play crucial roles in conformation and binding to target proteins. Theoretical and experimental analyzes align, confirming the compound's bioactive properties. This comprehensive investigation underscores stigmasterol's potential as a tuberculosis treatment option, providing valuable insights into its structural characteristics and therapeutic possibilities.

Vibration analysis of Ti-SiC composite airfoil blade based on machine learning

In this study, machine learning (ML) methods are integrated with Rayleigh-Ritz method and first-order shear deformation theory (FSDT) to predict the vibration properties of Ti-SiC fiber-reinforced composite airfoil blade. The natural vibration characteristics of airfoil blade are largely determined by various geometric and material parameters, which leads to the high computational cost of numerical methods. Therefore, the low-cost ML models in conjunction with Ti-SiC fiber-reinforced composite material is developed to replace traditional numerical methods in order to predict the vibration characteristics of airfoil blade. Random Forest (RF), Gradient Boosting Decision Tree (GBDT) and Back Propagation (BP) neural network models are utilized to compare the predicted results with existing data. Among these models, the BP neural network demonstrates superior performance. Additionally, the SHapley Additive exPlanation (SHAP) method is utilized to elucidate BP neural network model, facilitating the prioritization of input features. This approach offers a feasible auxiliary solution for investigating the vibration characteristics of airfoil blade.

Machine-learned interatomic potentials for transition metal dichalcogenide Mo1−xWxS2−2ySe2y alloys

Machine Learned Interatomic Potentials (MLIPs) combine the predictive power of Density Functional Theory (DFT) with the speed and scaling of interatomic potentials, enabling theoretical spectroscopy to be applied to larger and more complex systems than is possible with DFT. In this work, we train an MLIP for quaternary Transition Metal Dichalcogenide (TMD) alloy systems of the form Mo1−xWxS2−2ySe2y, using the equivariant Neural Network (NN) MACE. We demonstrate the ability of this potential to calculate vibrational properties of alloy TMDs including phonon spectra for pure monolayers, and Vibrational Density of States (VDOS) and first-order Raman spectra for alloys across the range of x and y. We show that we retain DFT level accuracy while greatly extending feasible system size and extent of sampling over alloy configurations. We are able to characterize the first-order Raman active modes across the whole range of concentration, particularly for the “disorder-induced” modes.

Effect of Nanoscale Surface Roughness and Electron-Phonon Interaction on Vibrational Modes of Cadmium Telluride Using Resonant Raman Spectroscopy.

This study investigates the combined effects of nanoscale surface roughness and electron-phonon interaction on the vibrational modes of cadmium telluride (CdTe) using resonant Raman spectroscopy. Raman spectra simulations aided in identifying the active phonon modes and their dependence on roughness. Our results reveal that increasing surface roughness leads to an asymmetric line shape in the first-order longitudinal optical (1LO) phonon mode, attributed to an increase in the electron-phonon interaction. This asymmetry broadens the entire Raman spectrum. Conversely, the overtone (second-order longitudinal optical [2LO]) mode exhibits a symmetrical line shape that intensifies with roughness. Additionally, we identify and discuss the contributions of surface optical phonon mode and multiphonon modes to the Raman spectra, highlighting their dependence on roughness. This work offers a deeper understanding of how surface roughness and electron-phonon scattering influence the line shape of CdTe resonant Raman spectra, providing valuable insights into its vibrational properties.

Halide tuning in derivative organic–inorganic perovskites, MAPb(Br1-xClx)3 (x = 0–1): exploring structural, optical and vibrational characteristics

Organic–inorganic metal halide perovskites (OIMHP’s), particularly CH3NH3PbX3 (X = I, Br, Cl) and their derivatives shows favorable properties for energy harvesting such as high absorption coefficients, adjustable band gaps, and low charge recombination rate. The structure and hence nature of bonding between different atoms of these perovskites is known to affect their properties significantly. Tuning of band gap can be achieved in these systems with the help of compositional variation. These systems are studied extensively in the single halide compositions (MAPbI3, MAPbBr3 and MAPbCl3); while, their derivatives seem to have gained less attention though being important for various applications. So, in this work, halide tuning is achieved in derivative perovskite, MAPb(Br1-xClx)3 (x = 0 to 1) and further studied for structural and optical properties along with vibrational properties using X-ray diffraction (XRD), diffuse reflectance spectroscopy, and Raman spectroscopy techniques, respectively. A decrease in the lattice parameter is observed as the Chlorine content increases in the MAPb(Br1-xClx)3 (x = 0 to 1) perovskite. The substitution of Chlorine with Bromine also results in significant increase in the band gap value. In contrast to previous reports, it was clearly observed that the Urbach energy strongly depends on the composition. For the first time, appearance of two features for torsional mode of methylammonium (MA) is discussed even at room temperature, indicative of disorder. It is observed that although the band gap tuning is achieved with the help of halide mixing (Br and Cl), it is also found to introduce disorder in the intermediate compositions; while, the stability increases toward Chlorine compositions. Interestingly, the information of disorder is found to be contained in both the global as well as local measurements which opens up new pathways for studying these materials. This study will lay down a pathway for better understanding of key properties of these hybrid mix halide perovskites which are promising material for futuristic energy applications.

Mechanical property and damage mechanism of ultrasonic vibration assisted tensile Cf/SiC composites

Ceramic matrix composites (CMCs) have a wide range of applications in key areas, such as aerospace and defense, and to study the mechanical properties and damage mechanisms of fiber-reinforced CMCs under different tensile conditions. Firstly, an ultrasonic vibration tensile device was designed, based on stress superposition and softening effect, the ontological relationship of materials under ultrasonic vibration-assisted stretching was established to study the damage mechanism of materials under different vibration conditions. The results show that tensile damage has multiple damage mechanisms occurring, i.e., matrix multiple cracking, interfacial debonding, and fiber fracture, and is also the main cause of nonlinear characteristics. Under high-frequency alternating load, the tensile strength decreased by up to 32 MPa, and the strain at break increased by up to 0.24 %; the tensile damage mechanism changed, the interfacial strength of the fiber and matrix decreased, the fiber toughness increased significantly, and the fracture morphology became flatter.

Electronic and vibrational spectroscopic study complemented with the computational evaluation of hydroxychloroquine mixed with silver nanoparticles

Synthesized silver nanoparticles via laser liquid ablation were characterized using XRD, TEM, EDS, UV–Vis, and Raman spectroscopy. The AgNPs were then conjugated with HCQ at different concentrations. The study aimed to explore the effectiveness of HCQ against malaria and autoimmune diseases as well as how conjugating AgNPs with HCQ would broaden its activity against various infections and diseases, owing to the antimicrobial activity of AgNPs. The electronic and vibrational study of HCQ and its mixture showed a successful conjugation of the two, which would increase the potent of HCQ against SARS Coronavirus (SARS-COV-2) infection. Steady-state absorption measurements revealed a broadband peak at around 337.4 nm (3.68 eV), corresponding to a π to π* transition in the quinoline ring of the HCQ molecule. In addition, the AgNPs Localized Surface Plasmon Resonance (LSPR) band centred around 408 nm exhibited an intensity decrease with an increase in the concentration of HCQ. The experimental Raman spectra exhibited bands similar to the density function theory (DFT) calculated spectra centred at 392 cm−1, 768 cm−1, 1392 cm−1, 2928 cm−1, 3224 cm−1, 3656 cm−1, and 3808 cm−1. TEM, EDS, and XRD analysis confirmed the formation of 8.75 nm AgNPs. Understanding the electronic and vibrational spectroscopic properties of the interaction between HCQ and AgNPs, as deduced from the spectroscopic results supported by DFT, can significantly benefit researchers in the pharmaceutical industry. Researchers could apply this knowledge to overcome drug resistance, repurpose existing drugs, and reduce the side effects of conventional clinically approved drugs.

Modulation of dielectric and antibacterial properties of Zn0.5Mn0.5O nanoparticles by post growth annealing method

In this manuscript, we have investigated the dielectric and antibacterial potential of hydrothermally synthesized ZnMnO nanoparticles. The synthesized nanoparticles were annealed at various temperatures ranging from 450 to 650 °C with a step of 50 °C to modulate the structural, vibrational, dielectric, and antibacterial properties. XRD data confirmed the hexagonal structure of the synthesized samples and crystalline size was decreased to 4.8 nm at annealing temperature 600 °C. The lattice structure was further verified by Raman spectroscopy measurements, which strongly verified the XRD data due the presence of ZnMnO vibrational modes. The dielectric measurements revealed that the dielectric constant and los tangent were found to be increased with the increase annealing temperature and decreased with frequency, while a.c conductivity has an increasing trend with both parameters (temperature and frequency). The plot of real and complex parts of impedance against frequency demonstrated that both parameters decrease with the increased in frequency. But when we analyzed the behavior of the real part of impedance against the annealing temperature, a degradation in real part behavior is observed. The antibacterial activity of ZnMnO nanoparticles was determined by using the disc diffusion method against E. coli bacteria, which was grown on a Petri dish at room temperature for 24 h. This observation revealed that the samples annealed at 450 °C and 550 °C show remarkable antibacterial sensitivity as compared to other samples. It is concluded that crystalline size of 20 nm is found to be optimal value for good anti-baterial behavior.

Constraints on the spin-state transition of siderite from laboratory-based Raman spectroscopy and electrical conductivity under high temperature and high pressure

The vibrational and electrical transport properties of natural siderite are systematically investigated by means of in-situ Raman spectroscopy and alternating current impedance spectroscopy under conditions of 0.6–55.6 GPa, 298–873 K and different hydrostatic environments using a diamond anvil cell (DAC). Upon non-hydrostatic compression, all of these observable characteristic variations of siderite including the appearance of three absolutely new Raman peaks (L’, v4′ and v1′), the disappearance of Raman peaks (T, L and v4) and the discontinuity in the pressure-dependent electrical conductivity can provide robust evidence of electronic spin transitions of Fe2+ from high-spin to mixed-spin to low-spin states at the respective pressures of 42.5 GPa and 48.5 GPa. As far as hydrostatic condition, the electronic spin states from high-spin to mixed-spin to low-spin states occurred at the higher pressures of 45.7 GPa and 50.4 GPa, respectively, which implied the highly sensitive hydrostaticity of electronic spin transition pressures. Upon decompression, the reverse electronic spin transitions from low-spin to mixed-spin to high-spin states were detected at the respective pressures of 47.2 GPa and 28.7 GPa under non-hydrostatic condition, and as well as at the pressures of 49.4 GPa and 25.1 GPa under hydrostatic condition, respectively. The huge pressure hysteresis of 13.8 GPa and 20.6 GPa for the electronic spin state transition was revealed under non-hydrostatic and hydrostatic environments, respectively. In order to explore the effect of temperature on the electronic spin transition, a series of electrical conductivity experiments on siderite were performed over the temperature range of 323–873 K under conditions of three typical pressures of 47.7, 49.8 and 51.6 GPa. Furthermore, the functional relationships between the temperature and pressure describing the high-spin to mixed-spin to low-spin transitions for siderite were successfully established: P1 (GPa) = 39.318 + 0.015 T (K) and P2 (GPa) = 41.277 + 0.018 T (K), respectively. In conclusion, our acquired phase diagram of the electronic spin transition on siderite is beneficial to deep insight into the electronic spin behavior for those of iron-bearing carbonate minerals under high-temperature and high-pressure conditions.

Sunlight-activated dye degradation of ZnO/CdO-decorated graphene oxide and its antibacterial activity

The pollution of water sources by hazardous substances such as sulfates, cyanides, and heavy metals represents a major environmental challenge. Addressing these issues requires the degradation of pollutants in wastewater to mitigate our environmental crises. Graphene oxide (GO) significantly enhances the mechanical and functional properties of GO-ZnO and GO-CdO nanocomposites, making them promising materials for applications in both sensors and catalysts. In this context, two optically active metal oxide-decorated graphene oxides (GO-ZnO and GO-CdO) were synthesized, and their photocatalytic efficacy against methylene blue (MB) was evaluated. Using an FT-IR spectrophotometer, the vibrational modes of hydroxyl (OH), carbonyl (C]O), and carboxylic (COOH) groups were identified. Raman spectroscopy analysis provided additional insights, confirming these vibrational properties. These materials exhibited peak photon absorption (λmax) at 242 nm and an optical band gap of 3.7 eV. Frontier molecular orbital (FMO) analyses indicated significant electronic charge transfer on the materials' surfaces, demonstrating their excellent capacity for adsorbing MB. An optimal catalyst dosage of 50 mg was found to be most effective in accelerating the degradation of MB. Additionally, variations in the initial pH of the solution showed a direct correlation, with higher pH levels leading to enhanced degradation efficiency, reaching up to 97 % after 120 min. Quantum Theory of Atoms in Molecules (QTAIM) analyses revealed that MB is extensively adsorbed and degraded through a series of hydrogen bonding interactions. Moreover, experimental results indicate that both materials have a significant impact on bacterial destruction, suggesting their potential as novel antibacterial agents.

Exploring Structural, Electronic, Vibrational, and Thermophysical Properties of Fe–Pt, Fe3–Pt, and Fe–Pt3 Alloys: A Density Functional Theory Study

Utilizing density functional theory, the structural, electronic, vibrational, and thermophysical properties of L10 FePt, L12 Fe3Pt, and L12 FePt3 alloys are meticulously analyzed. Employing projected augmented wave pseudopotentials alongside the Perdew–Burke–Ernzerhof exchange‐correlation function, equilibrium lattice constants are computed, aligning closely with existing data, thus validating our approach. To ascertain the dynamical stability of these alloys, phonon frequencies and density of states across high symmetry directions of the Brillouin zone are computed, affirming their stability with positive phonon frequencies throughout. Furthermore, the electronic band structure, the total and projected density of states, electronic charge density, and Fermi surfaces of the alloys are delved. The thorough analysis of phonon dispersion curves, electronic band structures, and the density of states, charge densities, and Fermi surfaces provides conclusive insights into the properties and behavior of the alloys. In essence, comprehensive investigation offers valuable insights into the thermophysical properties of L10 FePt, L12 Fe3Pt, and L12 FePt3 alloys, spanning equilibrium lattice constants, phonon characteristics, and electronic properties. These findings significantly augment the understanding of the structural stability, phonon dynamics, and electronic behavior exhibited by these alloys.

Ultraviolet active novel chalcogenides AScSe2 (A= K, Cs): The structural, optoelectronic, mechanical, vibrational, and thermodynamical properties for energy harvesting applications

It is essential nowadays to investigate some unique and appropriate materials for optoelectronic applications. We deliberate here for the first time, the structural, optoelectronic, mechanical, vibrational, and thermodynamical properties of hexagonal structured selenium-based ternary chalcogenides AScSe2 (A = K, Cs) by using Perdew-Burke-Ernzerhof Generalized-Gradient-Approximation (PBE-GGA). The lattice angles for these materials are found as α = β = 90° and γ = 120°. KScSe2 is optimized with lattice parameters a = b = 4.3 (Å), c = 7.81 (Å) whereas, CsScSe2 is relaxed at a = b = 4.43 (Å) and c = 8.51 (Å). The hybrid Heyd-Scuseria-Ernzerhof (HSE06) functional overestimates the lattice parameters to the extent that for KScSe2 these are found as a = b = 4.92 (Å), c = 7.10 (Å) and for CsScSe2 a = b = 5.15 (Å), c = 7.09 (Å). The energy band gap confirms the semiconducting nature of these materials. Born's criteria endorses the mechanical stability of these materials. Moreover, the temperature dependence of thermodynamic potentials and specific heat at constant volume is also determined using the harmonic approximation. The negative value of free energy ensures their thermodynamical stability. The vibrational modes are calculated by plotting the phonon dispersion and the vibrational density of states (VDOS) where infrared (IR) and Raman spectroscopy are used to characterize the vibrational modes. The optical parameters are examined at a smearing value of 0.5 eV that portray good absorptivity of the incident light from the Ultraviolet (UV) region. Thus, these materials may be potential ones to be utilized for energy harvesting applications via photovoltaic.

Comprehensive analysis of Indacaterol and Theophylline molecules: insights from DFT, FTIR, Raman, UV, molecular docking, and ADMET studies

In this study, the structural, vibrational, and biological properties of Indacaterol and Theophylline were thoroughly investigated using quantum chemical and spectroscopic methods, and then compared with experimental FTIR, Raman, and UV–Vis data. The analysis revealed that electronegative oxygen and nitrogen atoms in both molecules facilitate charge transfers, resulting in the shortening of C–C bonds. The HOMO–LUMO energy gaps were found to be 4.298 eV for Indacaterol and 5.170 eV for Theophylline, indicating that Indacaterol is more bioactive. The electrophilic index values suggest that Indacaterol is more electrophilic, potentially offering a higher affinity for protein binding. Molecular electrostatic potential surface maps indicated that electrophilic regions are concentrated near the oxygen and nitrogen atoms, which was corroborated by molecular docking analysis. Binding affinities of Indacaterol and Theophylline to COVID-19 main protease proteins were calculated, showing higher affinities for Indacaterol. Drug likeness, physicochemical, and ADMET results suggest that both molecules have favorable pharmacokinetic profiles and comply with Lipinski’s Rule of Five, indicating effective absorption and distribution. Overall, the study suggests that Indacaterol and Theophylline could function as inhibitors against SARS-CoV-2 and COVID-19 proteins, with Indacaterol potentially being more effective.

Machine learning prediction models for investigating vibration properties of epoxy resin under moisture conditions

Epoxy resins used in engineering applications are commonly exposed to wet environment during intended service life, which causes vibration property degradation and increasing risk of structural failure. In this work, vibration properties of epoxy resin plate under different moisture conditions are predicted with various sizes and boundary conditions using developed machine learning (ML) models. The dataset of epoxy vibration is established first, where values in the dataset are calculated with five moisture contents using previously developed meshless model. The dataset from meshless simulation is used to train ML models of epoxy vibration using six different algorithms, including support vector machine, decision tree, random forest, gradient boosting decision tree, extreme gradient boosting, and artificial neural network. It is found that the prediction model developed using extreme gradient boosting algorithm shows the highest accuracy of 99.9% and strong reliability. Using this model, vibration properties of epoxy resin with a series of sizes and boundary conditions are predicted under various moisture contents from dry case to saturated case, which deepens the understanding of the effects of wet environments on the vibration responses of epoxy resins. The results could be used for analysis of durability of epoxy resin, and the developed ML prediction models contribute to investigating vibration property of epoxy resin under different moisture conditions, which is crucial for ensuring durability of epoxy resin in wet environment.