Article
Engineering, Chemical
Mojtaba Sepehrnia, Kazem Mohammadzadeh, Mohammad Mehdi Veyseh, Emad Agah, Mohammad Amani
Summary: In this study, the rheological behavior and dynamic viscosity of a hybrid nanofluid based on 5 W30 engine oil with ZnO-MWCNT nanoparticles were experimentally evaluated. The results showed that the nanofluid exhibited non-Newtonian behavior and pseudoplastic behavior. The viscosity of the nanofluid increased with an increase in the volume fraction of nanoparticles, and decreased with an increase in temperature. A three-variable correlation and neural network modeling were developed to predict the viscosity, with the neural network modeling showing better accuracy.
Article
Chemistry, Physical
Mohammad Hemmat Esfe, Saeed Esfandeh, Sayyid Majid Motallebi, Davood Toghraie
Summary: This study compares the rheological behavior and viscosity of two hybrid nano-lubricants with different compositions. A new viscosity correlation relationship based on response surface methodology is proposed for higher accuracy and time-saving purposes.
COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS
(2022)
Article
Engineering, Mechanical
Mehdi Rahmati, Abbas Ayatizadeh Tanha, Seyedeh Khadijeh Abolfazli
Summary: In this study, a novel model based on Least Squares Support Vector Machines (LSSVM) was proposed to predict the viscosity of hybrid nano-lubricants. The reliability and high accuracy of the model were demonstrated through comparison with experimental data. This work highlights the need for a reliable approach to determine the viscosity of hybrid nano-lubricants and suggests one.
TRIBOLOGY INTERNATIONAL
(2023)
Article
Thermodynamics
Badis Meradi, Djamal Eddine Ghersi, Meriem Amoura, Khaled Loubar
Summary: This study proposes a methodology for assessing the utility of developing a new hybrid nanofluid based on its thermophysical properties. The results show that producing the new Fe-Si/water hybrid nanofluid is not recommended.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
Article
Green & Sustainable Science & Technology
Abdullah A. A. A. Al-Rashed, Abdulwahab A. Alnaqi, Jalal Alsarraf
Summary: A novel parabolic trough collector equipped with a non-circular absorber tube and solid insulation was numerically studied using a two-phase method. The study examined the impacts of various factors on the collector performance metrics. An artificial neural network model showed high potential in predicting the collector efficiency accurately.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Engineering, Chemical
Mohammad Hemmat Esfe, Fatemeh Amoozadkhalili, Davood Toghraie
Summary: This study investigated the prediction of viscosity of MWCNT-MgO/SAE40 engine oil nanofluid using artificial neural network (ANN) under different conditions. The optimal ANN structure consisted of two hidden layers with 10 neurons in the first layer and 4 neurons in the second layer. Concentration, shear rate, and temperature were considered as input parameters for the ANN modeling. The results showed that the optimal ANN with 8 neurons per layer had the least mean square error (MSE) and the maximum regression coefficient R close to 1 for predicting viscosity.
Article
Multidisciplinary Sciences
Mojtaba Sepehrnia, Hamid Maleki, Mahsa Karimi, Erfan Nabati
Summary: In this study, the rheological behavior and dynamic viscosity of 10W40 engine oil in the presence of ternary-hybrid nanomaterials of cerium oxide (CeO2), graphene oxide (GO), and silica aerogel (SA) were investigated experimentally. The results demonstrated that the viscosity of the nanofluid decreases with increasing temperature and decreasing volume fraction.
SCIENTIFIC REPORTS
(2022)
Article
Chemistry, Multidisciplinary
Ebrahem A. Algehyne, Haifaa F. Alrihieli, Muhammad Bilal, Anwar Saeed, Wajaree Weera
Summary: In this study, the pseudoplastic model is used to analyze the mass and energy transmission through a stretched permeable surface using trihybrid nanofluid. The influence of porosity is examined by employing the Darcy-Forchheimer relation in the momentum equation. The thermal efficiency of the nanocrystals is evaluated by integrating them with a pseudoplastic substrate. The findings show that the hybrid and trihybrid nanofluids have a greater tendency for fluid energy and velocity propagation rate compared to simple nanofluids, with an enhancement in velocity and heat transition rate.
Review
Chemistry, Physical
Akbar Maleki, Arman Haghighi, Ibrahim Mahariq
Summary: In recent years, models based on intelligence methods have been introduced to predict the thermophysical properties of hybrid nanofluids, with artificial neural networks considered a very attractive approach for modeling dynamic viscosity and thermal conductivity. Other intelligent methods such as support vector machine and adaptive neuro fuzzy interface system are also applicable for accurate modeling of the rheological properties of hybrid nanofluids. Confidence and accuracy of these models are influenced by factors such as the modeling algorithm used and the input parameters considered.
JOURNAL OF MOLECULAR LIQUIDS
(2021)
Article
Thermodynamics
Mohammad Hemmat Esfe, Saeed Esfandeh
Summary: The research focused on the rheological behavior of MWCNT (50%)-ZnO (50%)/5W50 nanofluid at temperatures ranging from 5 to 55 degrees C, different solid volume fractions (SVFs) between 0 and 1%, and shear rates (SRs) of 666.5-10,664 s(-1). The study concluded that an SVF of 0.05% is the most suitable for enriched nano-engine oil with the lowest viscosity influence level and sensitivity. Viscosity sensitivity analysis showed that the highest sensitivity occurs at higher temperatures and SVFs of 1%.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
Article
Thermodynamics
B. Paknezhad, M. Vakili, M. Bozorgi, M. Hajialibabaie, M. Yahyaei
Summary: The study predicts the thermal conductivity of silver nanofluid coated with PVP using a combinational model of multilayer perceptron artificial neural network and genetic algorithm, showing high accuracy and reliability.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Chemistry, Physical
Yu-Ming Chu, Muhammad Ibrahim, Tareq Saeed, Abdallah S. Berrouk, Ebrahem A. Algehyne, Rasool Kalbasi
Summary: The study experimentally examined the rheological behavior of MWCNT-TiO2/5W40 hybrid nanofluid, revealing that the presence of nanoparticles intensified the fluid viscosity by up to 790%. The neural network forecasting model also demonstrated acceptable results with a maximum error below 5% and R-2 = 0.999.
JOURNAL OF MOLECULAR LIQUIDS
(2021)
Article
Materials Science, Multidisciplinary
Mohammad Hemmat Esfe, Saeed Esfandeh, Soheyl Alidoust, Davood Toghraie
Summary: This study investigated the rheological behavior of MWCNT-Al2O3/SAE50 hybrid nano-lubricant, showing that it exhibits pseudo-plastic non-Newtonian flow. A three-variable-quadratic model was proposed to predict the data, and numerical simulations revealed an increase in pressure drop and applied shear stress with increasing phi.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2021)
Article
Automation & Control Systems
Xiaohong Dai, Hamid Taheri Andani, As'ad Alizadeh, Azher M. Abed, Ghassan Fadhil Smaisim, Salema K. Hadrawi, Maryam Karimi, Mahmoud Shamsborhan, D. Toghraie
Summary: This research studies the effect of volume fraction, shear rate, and temperature on the dynamic viscosity and torque of SiO2 nanoparticles/ethylene glycol nanofluid using an artificial neural network. The Gaussian Process Regression model with Matern covariance function provides the best results in predicting the rheological properties. The correlation results show high accuracy and power in predicting the dynamic viscosity and torque.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Thermodynamics
Syed M. Hussain, Rahimah Mahat, Nek Muhammad Katbar, Imran Ullah, R. S. Varun Kumar, B. C. Prasannakumara, Wasim Jamshed, Mohamed R. Eid, Waqar A. Khan, Rabha W. Usman, Rabha W. Ibrahim, Sayed M. El Din
Summary: This study aims to investigate the effects of radiation on the flow of nanofluid in a horizontal circular cylinder and uses a neural network with a back-propagation algorithm for numerical simulation. The results indicate that physical characteristics such as blended convection, thermal radiation, and stagnant movement have an impact on temperature, skin friction, thermal transfer, and velocity. The mixed convective and viscoelastic properties exhibit both rising and dropping developments.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Thermodynamics
Mohammad Hemmat Esfe
Summary: This study experimentally investigated the viscosity and rheological behavior of SAE 50 engine oil containing MWCNT-ZnO nanoparticles. The results demonstrated non-Newtonian behavior in nano-oil, similar to non-Newtonian shear-thinning fluids. A new mathematical correlation was proposed to improve prediction accuracy and reduce costs in future studies.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Thermodynamics
Mohammad Hemmat Esfe
Summary: In this study, natural heat transfer in a nanofluid cavity was investigated using a numerical method. Results showed that increasing the nanofluid volume fraction improved heat transfer, and as the Rayleigh number increased, the nanofluid flow became turbulent, leading to an increase in heat transfer efficiency. Additionally, the presence of porous media had a significant impact on the average Nu number, with increasing Rayleigh number drastically improving heat transfer efficiency.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Thermodynamics
Mohammad Hemmat Esfe, Mohammad Hassan Kamyab
Summary: In this study, a post-processing ANN and RSM-based method was used to investigate the relative thermal conductivity and relative viscosity of alumina nanoparticles in water as nanofluid. Mathematical models were developed using RSM and MLP methods based on experimental data, with the impact of different agglomeration modes and input variables explored. The results show that the behaviors of RTC and RV vary with pH, volume fraction, and agglomeration modes.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Review
Thermodynamics
Mohammad Hemmat Esfe, Mehdi Bahiraei, Amirhesam Torabi, Majid Valadkhani
Summary: This review provides an overview of pulsating flows with and without heat transfer, as well as the effects of using nanofluids. Combining pulsating flows with nanofluids shows promising results in improving thermohydraulic characteristics.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2021)
Article
Mathematics, Applied
Mohammad Hemmat Esfe, Sayyid Majid Motallebi
Summary: This study optimized the thermophysical properties of Cu/engine oil nanofluid using response surface methodology and non-dominated sorting genetic algorithm II. The results showed the highest TC and lowest viscosity occur when the temperature and solid volume fraction of the nanofluid are at their maximum values.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2021)
Article
Thermodynamics
Mohammad Hemmat Esfe, Saeed Esfandeh
Summary: The research focused on the rheological behavior of MWCNT (50%)-ZnO (50%)/5W50 nanofluid at temperatures ranging from 5 to 55 degrees C, different solid volume fractions (SVFs) between 0 and 1%, and shear rates (SRs) of 666.5-10,664 s(-1). The study concluded that an SVF of 0.05% is the most suitable for enriched nano-engine oil with the lowest viscosity influence level and sensitivity. Viscosity sensitivity analysis showed that the highest sensitivity occurs at higher temperatures and SVFs of 1%.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
Article
Multidisciplinary Sciences
Mohammad Hemmat Esfe, Davood Toghraie
Summary: This study successfully modeled and predicted the viscosity behavior of -Al2O3/10W40 nanofluid using an artificial neural network (ANN). By selecting the optimal ANN structure, the prediction error was minimized, and the experiment showed that the ANN estimated laboratory data more accurately.
SCIENTIFIC REPORTS
(2021)
Article
Materials Science, Multidisciplinary
Mohammad Hemmat Esfe, Ali Alirezaie, Davood Toghraie
Summary: This study investigated the thermal conductivity of hybrid nanofluids containing different ratios of nanoparticles in an ethylene glycol base fluid and established an artificial neural network model based on experimental data. The results showed that hybrid nanofluids with 1% nanoparticles exhibited over 40% increase in thermal conductivity, and were more cost-effective in energy management compared to mono nanofluids.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2021)
Article
Thermodynamics
Mohammad Hemmat Esfe, Davood Toghraie
Summary: In this study, thermal conductivity of functionalized Graphene-water nanofluids was estimated and predicted using experimental data with the help of Artificial Neural Network (ANN). The results showed acceptable precision of the modeling.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Thermodynamics
Mohammad Hemmat Esfe, Saeed Esfandeh, Davood Toghraie
Summary: This study investigated the impact of changing the thermoelectric cold surface temperature on water vapor condensation in an air-water generator system. The results showed that decreasing the temperature led to increased water production and condensation, with the highest production rate achieved at a minimum cold surface temperature of 0.323kg.m(-2).hr(-1). Furthermore, a reduction of 11 degrees C in the cold side of the thermoelectric cooling system resulted in a 36.8% increase in water production rate.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Thermodynamics
Mohammad Hemmat Esfe, Sayyid Majid Motallebi
Summary: Through experimental analysis and comparison with mathematical models, it was found that the ANN model provides higher accuracy and efficiency in predicting viscosity for the MWCNT-SiO2/SAE50 nanofluid system. The study also demonstrated the impact of factors such as SVF, SR, and temperature on the viscosity of nanofluids.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2021)
Article
Multidisciplinary Sciences
Mohammad Hemmat Esfe, Mahdi Mollamahdi
Summary: The study investigates the rheological behavior of ZnO-MWCNT/10W40 nanofluid and proposes a mathematical relation to calculate the NF viscosity. Results show a direct relationship between dynamic viscosity and VF, and an inverse relationship with temperature and SR. Sensitivity analysis indicates that viscosity is primarily dependent on temperature.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Mohammad Hemmat Esfe
Summary: In this study, the viscosity of a 10W40-based engine oil containing MWCNT and ZnO was experimentally investigated, showing pseudo-plastic behavior at all temperatures and solid volume fractions. The nanolubricant exhibited lower viscosity than the base fluid at certain conditions, indicating an optimal point for heat transfer applications. Sensitivity analysis revealed that the nanolubricant was more sensitive to concentration changes than temperature variations, with the highest sensitivity reported at SVF of 1% and temperature of 55 degrees C.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2021)
Article
Multidisciplinary Sciences
Mohammad Hemmat Esfe, Soheyl Alidoust
Summary: The study optimized the thermophysical properties of water-ethylene glycol mixture-based CNT nanofluid using the NSGA-II method, investigating the effects of temperature and volume fraction parameters. Results showed that the MLP model outperformed RSM in predicting relative thermal conductivity, viscosity, and specific heat, with the volume fraction parameter being more important than temperature.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2021)
Article
Multidisciplinary Sciences
Mohammad Hemmat Esfe, Mohammad Hassan Kamyab
Summary: This study focused on optimizing the viscosity of MWCNT-MgO(35-65%)/5W50 nanofluid and comparing experimental results with an artificial neural network (ANN). The ANN predictions were found to be more accurate compared to the mathematical correlations proposed in the study for viscosity prediction.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2021)
Article
Chemistry, Physical
Rajalaxmi Sahoo, C. Reshma, D. S. Shankar Rao, C. V. Yelamaggad, S. Krishna Prasad
Summary: This study investigates the influence of the flexible spacer parity of a guest photoactive liquid crystalline dimer on the photonic bandgap features of the cholesteric and twist grain boundary smectic C phases of the host molecule. The results show that the parity of the photoactive dimer affects the width of the photonic bandgap and the blue-shift of the cholesteric phase. Additionally, the parity of the dimer also affects the layer spacing and two-dimensional periodicity of the liquid crystalline phases.
JOURNAL OF MOLECULAR LIQUIDS
(2024)
Article
Chemistry, Physical
Sara Rozas, Alberto Gutierrez, Mert Atilhan, Alfredo Bol, Santiago Aparicio
Summary: This study presents a multiscale theoretical investigation on the use of bifunctional hydrophobic Deep Eutectic Solvent for carbon capture using tetrapropylammonium chloride, acetic acid, and ethanolamine. The characterization includes nanoscale analysis of CO2 absorption mechanisms and changes in liquid phase properties during gas capture.
JOURNAL OF MOLECULAR LIQUIDS
(2024)
Article
Chemistry, Physical
Tabouli Eric Da-yang, Alhadji Malloum, Jean Jules Fifen, Mama Nsangou, Jeanet Conradie
Summary: In this study, the potential energy of different glycine tautomers and their interaction with Cu2+ cations was investigated. The results showed that the solvation medium and the presence of Cu2+ cations influenced the stability of glycine tautomers.
JOURNAL OF MOLECULAR LIQUIDS
(2024)
Article
Chemistry, Physical
Xiaoliang Gou, Nan Ye, Qingqing Han, Junjie Cui, Long Yi Jin
Summary: In this study, amphiphilic rod-coil molecules with rigid DSA parts and flexible oligoether chains were designed and their assembly capacities were investigated. The morphology of the molecular aggregates was influenced by the pH of the solution and UV light, and the aggregates showed adsorption capacity for nitroaromatic compounds.
JOURNAL OF MOLECULAR LIQUIDS
(2024)
Article
Chemistry, Physical
Shuang Liu, Liyan Shan, Cong Qi, Wenhui Zhang, Guannan Li, Bei Wang, Wei Wei
Summary: Optimizing the design of styrene-butadiene-styrene copolymer (SBS) is crucial for producing cost-effective SBS modifiers and improving road quality. This study examined the influence of SBS content and molecular structure on viscosity and compatibility. The results showed that the viscosity contribution of SBS is determined by its molecular structure and phase morphology.
JOURNAL OF MOLECULAR LIQUIDS
(2024)
Article
Chemistry, Physical
Artem A. Petrov, Ekaterina A. Titova, Aydar A. Akhmadiyarov, Ilnaz T. Rakipov, Boris N. Solomonov
Summary: This work focuses on the thermochemistry of solvation of azeotropes. The enthalpies of dissolution of azeotropes in different mediums were determined, and the impact of the structure of the azeotropes on their properties in solution was discussed. A correlation between enthalpies of solvation and molar refraction was used to determine the vaporization enthalpies of azeotropes for the first time. The results were found to be consistent with literature data, obtained using direct and calculated methods. These findings contribute to the analysis of the structure-property relationships of azeotropes.
JOURNAL OF MOLECULAR LIQUIDS
(2024)
Article
Chemistry, Physical
L. V. Kamaeva, E. N. Tsiok, N. M. Chtchelkatchev
Summary: Understanding the correlations between liquids and solids allows us to predict the thermodynamic parameter range favorable for the formation of intriguing solid phases by studying liquids. In this study, we experimentally and theoretically investigated an Al-Cu-Co system within different composition ranges, and identified high-temperature solid phases. Our findings demonstrated the correlation between the boundaries of different solid phases and undercooling and viscosity in the concentration area.
JOURNAL OF MOLECULAR LIQUIDS
(2024)
Article
Chemistry, Physical
R. Aneesh Kumar, S. Jamelah Al-Otaibi, Y. Sheena Mary, Y. Shyma Mary, Nivedita Acharjee, Renjith Thomas, Renjith Raveendran Pillai, T. L. Leena
Summary: In this study, the interactions between doped and pristine coronenes and adenine nucleobases were investigated using Density Functional Theory. The optimal configurations, adsorption energies, charge transfer, and electrical properties of each complex were calculated. It was found that doped coronene had stronger adsorption strength and charge transfer compared to pristine coronene. The stability of the complexes was attributed to non-covalent interactions in the interactive region. The change in electrical conductivity of coronenes after adsorption suggested their sensitivity towards DNA bases. The predicted energy gap and prolonged recovery time for adenine-coronene configurations indicated the potential application of pristine/doped coronene in DNA detection.
JOURNAL OF MOLECULAR LIQUIDS
(2024)
Article
Chemistry, Physical
Gang Zhou, Yongwei Liu, Biao Sun, Zengxin Liu, Cuicui Xu, Rulin Liu, Qi Zhang, Yongmei Wang
Summary: The CFD-DEM method was used to simulate the dust deposition pattern in the bronchus of anchor digging drivers, revealing the highest dust concentration in the vortex region of the working face. The study also found a positive correlation between dust particle diameter and bronchial deposition rate, and a negative correlation with alveolar deposition rate.
JOURNAL OF MOLECULAR LIQUIDS
(2024)
Article
Chemistry, Physical
Yan Zhang, Yafei Luo, Lingkai Tang, Mingyan E, Jianping Hu
Summary: This study investigates the effects of different transition metal decorations on B12N12 nanocages on the adsorption properties of nitrosourea drugs using computational methods. The results reveal the presence of weak non-covalent interactions between metals and nanocages, and the interaction between drugs and nanocages plays a significant role in drug adsorption. Compared to free drugs, the adsorption of drugs on nanocages can facilitate electron transfer, reduce energy gaps and chemical hardness, indicating activity at the target site.
JOURNAL OF MOLECULAR LIQUIDS
(2024)
Article
Chemistry, Physical
C. I. Alcolado, J. Poblete, L. Garcia-Rio, E. Jimenez, F. J. Poblete
Summary: In this study, the selective oxidation of aromatic aldehydes was investigated using Ru(VI) as a catalyst and hexacyanoferrate (III) as a cooxidant in an alkaline medium. The reaction mechanism involves complex reaction orders for the oxidant and the aromatic aldehyde, while the reaction order for Ru(VI) is one. The proposed mechanism includes two catalytic cycles and the formation and decomposition of complexes. Quantitative structure-activity relationship analysis showed that deactivating groups in the para-position enhance the process.
JOURNAL OF MOLECULAR LIQUIDS
(2024)
Article
Chemistry, Physical
Inez A. Barbieri, Marcos L. S. Oliveira, Franciele S. Bruckmann, Theodoro R. Salles, Leonardo Zancanaro, Luis F. O. Silva, Guilherme L. Dotto, Eder C. Lima, Mu. Naushad, Cristiano R. Bohn Rhoden
Summary: This study evaluated the adsorption of zolpidem on magnetic graphene oxide and synthesized magnetic graphene oxide adsorbents for zolpidem removal. The best magnetic nanoadsorbent was found to have a removal percentage of 87.07% at specific pH and temperature conditions. The results suggest that the removal of zolpidem is related to the surface chemistry of the adsorbent rather than the surface area of graphene oxide. The adsorbent showed excellent adsorption efficiency and magnetic behavior, making it a promising material for removing zolpidem from aqueous solutions.
JOURNAL OF MOLECULAR LIQUIDS
(2024)
Article
Chemistry, Physical
Hongyan Huang, Chunquan Li, Siyuan Huang, Yuling Shang
Summary: This study examines the sensitivity of the thermal conductivity of water-based alumina nanofluids to changes in concentration, sphericity, and temperature. The results show that volume fraction and temperature have a significant impact on the thermal conductivity, while sphericity also needs to be considered. A support vector machine regression model was created to analyze the sensitivity of the thermal conductivity to different parameters. The findings indicate that temperature, sphericity, and volume fraction are the most sensitive variables.
JOURNAL OF MOLECULAR LIQUIDS
(2024)
Correction
Chemistry, Physical
V. M. Pergamenshchik, T. Bryk, A. Trokhymchuk
JOURNAL OF MOLECULAR LIQUIDS
(2024)
Article
Chemistry, Physical
Valentyn Rudenko, Anatolii Tolochko, Svitlana Bugaychuk, Dmytro Zhulai, Gertruda Klimusheva, Galina Yaremchuk, Tatyana Mirnaya, Yuriy Garbovskiy
Summary: This paper reports on the synthesis, structural characterization, spectral and nonlinear-optical properties of glass nanocomposites made of glass forming ionic liquid crystals and nanoparticles. The study reveals that by exciting the nanocomposites within their absorption band, a control over effective optical nonlinearities can be achieved, allowing the modification of the magnitude and sign of the effective nonlinear absorption coefficient. The proposed strategy using metal-alkanoates based glass-forming ionic liquid crystals and nanoparticles shows great potential for the development of nanophotonics and plasmonics technologies.
JOURNAL OF MOLECULAR LIQUIDS
(2024)