Article
Thermodynamics
Yingxue Fu, Yuqiu Chen, Chuntao Zhang, Yang Lei, Xinyan Liu
Summary: A database was established to collect surface tension data for IL-H2O hybrid systems, and an ANN-GC model was proposed to predict the surface tension. The model showed reliable predictions for both the hybrid system and pure IL systems.
FLUID PHASE EQUILIBRIA
(2022)
Article
Mechanics
D. Zrnic, P. Berglez, G. Brenn
Summary: Theoretical investigation is conducted on the nonlinear axisymmetric shape oscillations of a Newtonian drop in a vacuum, revealing phenomena such as surface deformation, frequency decrease, and quasi-periodicity of motion. Viscosity is found to dampen nonlinear behavior and enhance the coupling of different oscillation modes.
Article
Chemistry, Analytical
Ting Yan Li, Huan Xiang, Yang Yang, Jiawei Wang, Guray Yildiz
Summary: This study analyzed the characteristics of char production from lignocellulosic biomass using regression and artificial neural networks. The predictive models were able to reasonably predict char yield, fixed carbon content, volatile matter content, ash content, and HHV. The artificial neural network models showed higher accuracy compared to the regression models.
JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS
(2021)
Article
Engineering, Marine
Peng Li, Conglin Jin, Gang Ma, Jie Yang, Liping Sun
Summary: In this study, a deep learning model based on LSTM neural network is proposed for real-time monitoring of the mooring safety of floating structures. Through numerical simulation and experiments, the effectiveness of the model in predicting mooring line tension is validated.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Chemistry, Physical
E. Mossavi, M. Hosseini Sabzevari, M. Ghaedi, M. H. Ahmadi Azqhandi
Summary: This study compared the predictive power of response surface methodology, general regression neural network, and artificial neural network in modeling the adsorption of an azo dye from aqueous solutions using a newly developed nanocomposite. The results showed that all three models accurately predicted the adsorption performance, with the artificial neural network achieving the highest precision and accuracy.
JOURNAL OF MOLECULAR LIQUIDS
(2022)
Article
Computer Science, Interdisciplinary Applications
Kefu Yao, Zhiping Wen, Lifu Yang, Jian Chen, Huiwei Hou, Huaizhi Su
Summary: A novel multipoint prediction model (MPM) for concrete dam displacement is proposed, which combines partition method and support vector machine to predict dam displacement more accurately. The feasibility and effectiveness of the model are verified using actual monitoring data.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2022)
Article
Environmental Sciences
Girma Moges, Kevin McDonnell, Mulugeta Admasu Delele, Addisu Negash Ali, Solomon Workneh Fanta
Summary: In this study, two advanced machine learning models were developed for pesticide drift prediction, showing better predictive power compared to traditional regression models. The ability to model complex relationships is beneficial in addressing the variability in pesticide drift.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Engineering, Mechanical
Attasit Wiangkham, Atthaphon Ariyarit, Prasert Aengchuan
Summary: This study created a model using artificial intelligence methods to predict the fracture toughness of sugarcane leaf composite materials. The Artificial Neural Network, Generalized Regression Neural Network, and Gaussian Process Regression models all showed good performance in predicting fracture toughness. Despite some decline in performance with changing predictive factors, the models remained within an acceptable range.
THEORETICAL AND APPLIED FRACTURE MECHANICS
(2022)
Article
Construction & Building Technology
Fizza Hussain, Yasir Ali, Muhammad Irfan, Murtaza Ashraf, Shafeeq Ahmed
Summary: This study proposes a data-driven model based on Convolutional Neural Network (CNN) to predict the phase angle behavior of AC mixtures, which captures 90% of the variance in the test data. The model significantly improves upon other machine learning models and linear regression, providing a surrogate to tedious laboratory testing for transport agencies and practitioners.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Engineering, Civil
Plaban Deb, Sujit Kumar Pal
Summary: The study focuses on the load sharing and interaction behavior of piled raft foundation (PRF) in a double-layer soil system, utilizing finite element (FE) models and statistical analysis with nonlinear multiple regression (NMR) and artificial neural network (ANN) modeling. Prediction models were proposed for PRF design strategy, and factor of safety (FS) was estimated using the NMR and ANN models developed.
FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING
(2021)
Article
Food Science & Technology
Onder Kabas, Mehmet Kayakus, Georgiana Moiceanu
Summary: Hazelnut culture originated in Turkey, which has the highest volume and area of production. Understanding the aerodynamic properties of hazelnuts is crucial for equipment and structure design in hazelnut operations. This study used various independent variables to estimate the terminal velocity and drag coefficient of hazelnuts, and machine learning methods, such as logistic regression, support vector regression, and artificial neural networks, were employed. The results showed that ANN, SVR, and LR were the most successful models in terms of R-2, MSE, and MAE metrics.
Article
Environmental Sciences
Saad U. Khan, Hammad Khan, Sajjad Hussain, Lilian D. M. Torquato, Sabir Khan, Raul G. Miranda, Danielle P. Oliveira, Daniel J. Dorta, Joao A. Lima Perini, Hyeok Choi, Maria Boldrin Zanoni
Summary: Photocatalytic activation of persulfate (PS) using Fe2O3 nanoparticles has shown to efficiently degrade reactive red 120 (RR120) dye. Among the different facets of Fe2O3, beta-Fe2O3 exhibited the highest photocatalytic activity due to enhanced charge carrier separation and greater active sites for PS activation. Optimization experiments achieved nearly 100% color removal and 82% organic removal. Scavenger test suggested the involvement of sulfate and hydroxyl radicals in the degradation process. However, the treatment did not significantly reduce the cytotoxicity of the wastewater. Overall, beta-Fe2O3/PS at low doses showed great potential for decomposing and mineralizing recalcitrant dyes in wastewater under visible light.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Energy & Fuels
Ahad Ghaemi, Alireza Hemmati, Mehdi Asadollahzadeh, Milad Molaee
Summary: This study evaluates the characteristics of three liquid-liquid systems in a pilot column through different modeling methods, and investigates the impact of various factors on these systems. High prediction accuracy is achieved in both RSM and ANN modeling, with the confirmation of the optimum network structure.
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
(2021)
Article
Multidisciplinary Sciences
Sheng Lin, Long Zhang, Liang Cong
Summary: This study proposes a method for direct ink write printing of gallium-indium (Ga-In) alloys using micro-vibration-driven extrusion. Micro-vibration reduces the surface tension of Ga-In alloy droplets and avoids the appearance of random droplets during printing. By optimizing suitable micro-vibration parameters, the growth process of droplets is significantly slowed down, allowing for high moldability and improved printability of Ga-In alloy droplets.
SCIENTIFIC REPORTS
(2023)
Article
Engineering, Multidisciplinary
Shoubing Liu, Songkai Duan, Renzhou Xing, Wenke Lu
Summary: This study investigates a nonlinear compensation scheme based on the sparrow search algorithm (SSA) and support vector regression (SVR) models to improve the detection accuracy of a yarn tension sensor using surface acoustic wave devices. The SSA-SVR model shows the best linearity, highest compensation accuracy, and highest robustness compared to the multiple regression model and BP neural network. A novel nonlinear compensation scheme is proposed based on the findings.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2023)
Article
Chemistry, Physical
Mahsa Mohammadi, Milad Massoudifarid, Mohammad Hojaji, Arash Karimipour, Jungho Hwang, Massoud Massoudi Farid
Summary: In this study, particle resolved calculations were used to investigate the laminar, incompressible, unsteady oscillatory flow and convective heat transfer of nanofluid around a porous cuboid. The effects of various factors such as Reynolds number, volume fraction of nanoparticles, aspect ratio of the cuboid, Darcy number and inlet velocity profile were examined. The results demonstrated that increasing Reynolds number enhanced thermal performance, increasing volume fraction of nanoparticles increased Nusselt number but also led to a stronger increase in pressure drop coefficient, and increasing aspect ratio of the cuboid improved both heat transfer and pressure drop coefficient. The optimal frequency for heat transfer and pressure drop was found to be 9.
ZEITSCHRIFT FUR NATURFORSCHUNG SECTION A-A JOURNAL OF PHYSICAL SCIENCES
(2022)
Article
Physics, Multidisciplinary
Nidal H. Abu-Hamdeh, Khaled O. Daqrouq, Arash Karimipour, Osama K. Nusier
Summary: This study aims to find the optimized volume fraction of hydroxyapatite bio-ceramic and its composite in human blood plasma and investigate its potential application in relieving tooth thermal pain. The results show that time has an effect on the heat transfer rate in simulated body fluid solution.
EUROPEAN PHYSICAL JOURNAL PLUS
(2022)
Article
Energy & Fuels
Muhyaddin J. H. Rawa, Nidal H. Abu-Hamdeh, Arash Karimipour, Osama K. Nusier, Ferial Ghaemi, Dumitru Baleanu
Summary: The study investigated the impact of phase change material on walls and roofs in Jeddah, Saudi Arabia, showing that adding phase change material to the western wall and roof can lead to energy savings.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Multidisciplinary
Xiaoluan Zhang, Xinni Liu, Xifeng Wang, Shahab S. Band, Seyed Amin Bagherzadeh, Somaye Taherifar, Ali Abdollahi, Mehrdad Bahrami, Arash Karimipour, Kwok-Wing Chau, Amir Mosavi
Summary: The dynamic viscosity of CuO/liquid paraffin nanofluids was obtained experimentally, and different methods were modeled and compared to predict the viscosity. Feed-Forward Neural Networks (FFNNs) and Recursive Least Squares (RLS) Fuzzy model were found to be the most effective methods for viscosity prediction.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS
(2022)
Article
Thermodynamics
Mostafa Mahjoory, Mohamad Shahgholi, Arash Karimipour
Summary: Reinforcing calcium phosphate cement with magnesium ion nanoparticles enhances its initial strength and reduces porosity. Molecular dynamics simulation is used to investigate the mechanical and thermal properties of the samples. The study finds that lower temperatures result in higher strength, while higher temperatures lead to softer and weaker materials. Increasing the initial pressure enhances the strength and thermal stability.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2022)
Article
Chemistry, Physical
Jianjing Gao, Jie Liu, Hongjia Yue, Yuzhen Zhao, Iskander Tlili, Arash Karimipour
Summary: Due to the presence of fluid flow inside channels in many natural and artificial systems and their widespread applications in recent years, attention to improving heat transfer is growing. The study examines the hydrodynamic and thermal performances of liquid water in the presence of graphene nanosheets and carbon nanotubes. Molecular dynamics simulation is used to investigate the atomic behavior and the coefficient of conductivity and phase alteration duration under different initial conditions. The results show that the thermal conductivity and phase change duration change with increasing initial temperature, and the oscillation amplitude and mobility of particles play a role. The pressure in the structures affects the oscillation amplitude and atomic mobility.
JOURNAL OF MOLECULAR LIQUIDS
(2022)
Article
Chemistry, Physical
Xinglong Liu, Ahmad Razi Othman, Nidal H. Abu-Hamdeh, Abdullah M. Abusorrah, Arash Karimipour, Zhixiong Li, F. Ghaemi, Dumitru Baleanu
Summary: The study investigates the atomic behavior of LL-37 peptide in an aqueous environment inside metallic nanochannels, revealing the atomic stability of the protein under these conditions. Using MD simulations, changes in protein volume and profiles of density, velocity, and temperature were analyzed.
JOURNAL OF MOLECULAR LIQUIDS
(2022)
Article
Environmental Sciences
Rasool Kalbasi, Bijan Samali, Masoud Afrand
Summary: Adding phase change materials (PCMs) into building envelopes is an effective way to reduce energy consumption and CO2 emissions. However, the presence of phase change in PCMs may not always lead to better energy savings. Installing PCMs near the uppermost layer can enhance energy-saving performance.
Article
Energy & Fuels
Ahmad H. Milyani, Elias M. Salilih, Mohammed N. Ajour, Hesham A. Alhumade, Nidal H. Abu-Hamdeh, Arash Karimipour
Summary: By 2050, renewables are expected to account for 70% of electricity generation, with solar energy leading the way. The study focuses on a concrete solar plant that utilizes solar cells and battery systems to generate electricity. A heat exchanger model is developed to analyze the heat transfer characteristics of melted salt and steam/water. The results show that battery cooling is effective under certain conditions.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Elias M. Salilih, Nidal H. Abu-Hamdeh, Ahmed Khoshaim, Arash Karimipour
Summary: This paper investigates the transient thermal performance of a single u-tube vertical ground heat exchanger using n-octadecane PCM material as a backfill grout material. The analysis is performed using the Crank-Nicolson finite difference numerical method, and the transient thermal characteristics of the battery borehole heat exchanger are presented.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Mohammed N. Ajour, Ahmad H. Milyani, Nidal H. Abu-Hamdeh, Meshari A. Al-Ebrahim, Arash Karimipour
Summary: This paper investigates the impact of phase change materials on the thermal management system of lithium-ion batteries and presents numerical analysis results. The findings include the decrease of PCM melt volume fraction over time and the influence of different distances between battery rows on temperature and PCM melt volume fraction.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Green & Sustainable Science & Technology
Saeed Aghakhani, Masoud Afrand, Arash Karimipour, Rasool Kalbasi, Mohammad Mehdi Razzaghi
Summary: This study investigates the performance of a flat plate solar collector with a spiral pipe containing water through numerical and experimental research. The results show that increasing the outer diameter of the spiral and the diameter of the collector pipe enhances the average temperature and heat transfer coefficient, while reducing the flow rate decreases these parameters. Moreover, the pressure drop and pumping power are influenced by the flow rate, outer diameter of the spiral, and pipe diameter.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Construction & Building Technology
Sultan M. Alghamdi, Mohammed N. Ajour, Nidal H. Abu-Hamdeh, Arash Karimipour
Summary: In this study, PCM was used to delay and regulate heat transfer in a building, and a new PID control system was introduced. By accurately evaluating PCM performance through adjusting the wall structure, it was found that PCM could reduce electricity demand by 15.3% annually. Other strategies, such as disconnecting the main chiller during summer, further reduced electricity demand.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Construction & Building Technology
Mohammed N. Ajour, Mohammed J. Abduaal, Fahd A. Hariri, Nidal H. Abu-Hamdeh, Arash Karimipour
Summary: This article proposes two solutions for reducing energy consumption in air handling unit. The first solution focuses on a sustainable pack consisting of a ground heat exchanger and two PCM-filled heat exchangers. The second solution involves using PCM to reduce energy exchange. Both solutions effectively reduce energy consumption and CO2 emissions.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Construction & Building Technology
Elias M. Salilih, Nidal H. Abu-Hamdeh, Ahmed Khoshaim, Radwan A. Almasri, S. Mohammad Sajadi, Arash Karimipour
Summary: This study presents a numerical transient heat transfer analysis on a deep vertical double u-tube ground heat exchanger with phase change material as backfill, showing that using PCM enhances the performance of the ground heat exchanger.
JOURNAL OF BUILDING ENGINEERING
(2022)
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)