jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Nuno Rodrigues | M.F. Peres | Susana Casal | Arantzazu Santamaria‐Echart | Maria Filomena Barreiro | António M. Peres | José Alberto Pereira
Source: Food Chemistry (article, 2022-08-12)
Field: Chemistry — Organic Chemistry

Geographical discrimination of olive oils from Cv. ‘Galega Vulgar’ Tyrosol ; Principal component analysis ; Hydroxytyrosol ; Olive oil ; Food science ; Composition (language) ; Geographical indication ; Chemical composition ; Chemistry ; Botany ; Biology ; Mathematics ; Geography ; Antioxidant ; Biochemistry ; Statistics ; Polyphenol ; Organic chemistry Edible Oils Quality and Analysis ; Spectroscopy and Chemometric Analyses ; Essential Oils and Antimicrobial Activity
Authors: Chen Qu | Qi Yu | Riccardo Conte | Paul L. Houston | Apurba Nandi | Joel M. Bomwan
Source: Digital Discovery (article, 2022-01-01)
Field: Materials Science — Materials Chemistry

A Δ-machine learning approach for force fields, illustrated by a CCSD(T) 4-body correction to the MB-pol water potential In this paper we proposed a Δ-machine learning approach to correct general many-body force fields. We illustrate this approach by adding a 4-body correction to the MB-pol water potential to bring it to a higher level of accuracy. Water body ; Force field (fiction) ; Computer science ; Artificial intelligence ; Machine learning ; Engineering Machine Learning in Materials Science ; Protein Structure and Dynamics ; Quantum many-body systems
Authors: Bin Li | Hai Yin | Yande Liu | Feng Zhang | Akun Yang | Cheng‐tao Su | Aiguo Ouyang
Source: Journal of Analytical Science & Technology (article, 2022-07-02)
Field: Chemistry — Analytical Chemistry

Detection storage time of mild bruise’s yellow peaches using the combined hyperspectral imaging and machine learning method Abstract To deduce the process of bruise and reduce the number of bruised fruits from the source, the storage time of yellow peaches after bruise should be identified. In order to distinguish the different storage times of mild bruise’s yellow peaches more effectively than current detection methods, the combined hyperspectral imaging and machine learning method was proposed. Firstly, the sample bruise region spectrum was extracted as spectral features, and then, the hyperspectral images were processed by Principal Component Analysis (PCA), and eight single-wavelength images were selected according to the weight coefficient curve of PC1 images, and the gray values of the selected images were calculated as image features. Finally, in order to find the optimal discriminative model, random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGBoost) models were built based on spectral features, image features, and spectral features combined with image features, respectively. The results show that the XGBoost models based on spectral features, image features, and spectral features combined with image features are the optimal models with the overall accuracy of 77.50%, 87.50% and 90.00%, respectively. To simplify the model, Competitive Adaptive Reweighted Sampling (CARS) algorithm was used to screen the wavelength of the normalized spectral data, and then they were fused with the image feature data again and the XGBoost model with an overall model accuracy of 95.00% was built. To sum up, the combined hyperspectral imaging and machine learning method can be used to distinguish the different storage times (2 h, 8 h, 24 h and 48 h) of mild bruise’s yellow peaches effectively. It provides a certain theoretical basis for hyperspectral imaging technology in fruit bruise detection. Bruise ; Hyperspectral imaging ; Artificial intelligence ; Support vector machine ; Pattern recognition (psychology) ; Discriminative model ; Computer science ; Principal component analysis ; Random forest ; Computer vision ; Mathematics Spectroscopy and Chemometric Analyses ; Spectroscopy Techniques in Biomedical and Chemical Research ; Bee Products Chemical Analysis
Authors: Zhaoxia Tian | Zifeng Tan | Yanjie Li | Zhiling Yang
Source: Plant Methods (article, 2022-04-02)
Field: Chemistry — Analytical Chemistry

Rapid monitoring of flavonoid content in sweet tea (Lithocarpus litseifolius (Hance) Chun) leaves using NIR spectroscopy The conclusion indicated that NIR spectroscopy has the ability to determine the flavonoid content of sweet tea quickly and conveniently. Near-infrared spectroscopy ; Partial least squares regression ; Flavonoid ; Principal component analysis ; Chemistry ; Chemometrics ; Sugar ; Mathematics ; Food science ; Chromatography ; Statistics ; Biology Spectroscopy and Chemometric Analyses ; Spectroscopy Techniques in Biomedical and Chemical Research ; Essential Oils and Antimicrobial Activity
Authors: Bingshan Hu | Fengchen Liu | Binghao Mao | Zhiwei Chen | Hongliu Yu
Source: Micromachines (article, 2022-01-25)
Field: Materials Science — Materials Chemistry

Modeling and Position Control Simulation Research on Shape Memory Alloy Spring Actuator The shape memory alloy (SMA) actuator is widely used in aerospace, medical and robot fields because of its advantages of low driving voltage, large driving force, no noise and high-power-weight ratio. Therefore, it is of great significance to establish the theoretical model of the SMA actuator and analyze the driving characteristics of the SMA actuator. On the basis of summarizing the constitutive model of the shape memory alloy spring, the phase transformation dynamics model of SMA including the minor hysteresis loop is established using the Duhem model in this paper, and the theoretical models of the bias and differential SMA spring actuator are established. At the same time, a PID position controller including anti-saturation and anti-overheating functions is proposed to control the position of the SMA actuator. Finally, the position control simulation model of the SMA spring actuator is established and simulated. Simulation results show that the position of the SMA actuator can be well controlled by using the model and control method established in this paper. SMA* ; Actuator ; Shape-memory alloy ; Control theory (sociology) ; Position (finance) ; Engineering ; Computer science ; Artificial intelligence ; Control (management) ; Electrical engineering Shape Memory Alloy Transformations ; Piezoelectric Actuators and Control ; Topology Optimization in Engineering
Authors: Hanyu Zheng | Mingze He | You Zhou | Ivan I. Kravchenko | Joshua D. Caldwell | Jason Valentine
Source: ACS Nano (article, 2022-08-26)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Compound Meta-Optics for Complete and Loss-Less Field Control Optical metasurfaces offer a compact platform for manipulation of the amplitude, phase, and polarization state of light. Independent control over these properties, however, is hindered by the symmetric transmission matrix associated with single-layer metasurfaces. Here, we utilize multilayer birefringent meta-optics to realize high-efficiency, independent control over the amplitude, phase, and polarization state of light. High-efficiency control is enabled by redistributing the wavefront between cascaded metasurfaces, while end-to-end inverse design is used to realize independent complex-valued functions for orthogonal polarization states. Based on this platform, we demonstrate spatial mode division multiplexing, optical mode conversion, and universal vectorial holograms, all with diffraction efficiencies over 80%. This meta-optic platform expands the design space of flat optics and could lead to advances in optical communications, quantum entanglement, and information encryption. Wavefront ; Optics ; Polarization (electrochemistry) ; Birefringence ; Multiplexing ; Holography ; Physics ; Phase control ; Optoelectronics ; Phase (matter) ; Computer science ; Telecommunications Metamaterials and Metasurfaces Applications ; Advanced Antenna and Metasurface Technologies ; Orbital Angular Momentum in Optics
Authors: Xiaohui Wang | Lijia Xu | Heng Chen | Zhiyong Zou | Peng Huang | B. Xin
Source: Agriculture (article, 2022-02-01)
Field: Chemistry — Analytical Chemistry

Non-Destructive Detection of pH Value of Kiwifruit Based on Hyperspectral Fluorescence Imaging Technology Non-destructive detection of the pH value of kiwifruit has important practical significance for its quality classification. In this study, hyperspectral fluorescence imaging technology was proposed to quantitatively predict the pH value of kiwifruit non-destructively. Firstly, the SPXY algorithm was used to divide samples into training and prediction sets and three different algorithms were used to preprocess the raw spectral data. Secondly, algorithms such as the iteratively retaining information variables (IRIV), the variable iterative space shrinkage approach (VISSA), the model adaptive space shrinkage (MASS), the random frog (RF), and their combination (i.e., IRIV + VISSA + MASS + RF, IVMR) were used to extract effective variables from the preprocessed spectral data. Moreover, the second extractions, such as IRIV-VISSA and IRIV-MASS, and the third extraction (i.e., IVMR-VISSA-IRIV) were used to further reduce the redundant variables. Based on the effective variables, four regression models—random forest (RF), partial least square (PLSR), extreme learning machines (ELM), and multiple-kernel support vector regression (MK-SVR)—were built and compared for predicting. The results show that IVMR-VISSA-IRIV-MK-SVR had the best prediction results, with RP2, RC2 and RPD of 0.8512, 0.8580, and 2.66, respectively, which verifies that hyperspectral fluorescence imaging technology is reliable for predicting the pH value of kiwifruit non-destructively. Hyperspectral imaging ; Support vector machine ; Algorithm ; Computer science ; Mathematics ; Random forest ; Artificial intelligence ; Pattern recognition (psychology) ; Biological system ; Statistics ; Biology Spectroscopy and Chemometric Analyses ; Water Quality Monitoring and Analysis ; Advanced Chemical Sensor Technologies
Authors: Zhuohuai Guan | Haitong Li | Xu Chen | Senlin Mu | Tao Jiang | Min Zhang | Chongyou Wu
Source: Sensors (article, 2022-12-06)
Field: Chemistry — Analytical Chemistry

Development of Impurity-Detection System for Tracked Rice Combine Harvester Based on DEM and Mask R-CNN Impurity rate is one of the key performance indicators of the rice combine harvester and is also the main basis for parameter regulation. At present, the tracked rice combine harvester impurity rates cannot be monitored in real time. Due to the lack of parameter regulation basis, the harvest working parameters are set according to the operator's experience and not adjusted during the operation, which leads to the harvest quality fluctuating greatly in a complex environment. In this paper, an impurity-detection system, including a grain-sampling device and machine vision system, was developed. Sampling device structure and impurity extraction algorithm were studied to enhance the impurity identification accuracy. To reduce the effect of impurity occlusion on visual recognition, an infusion-type sampling device was designed. The sampling device light source form was determined based on the brightness histogram analysis of a captured image under different light irradiations. The effect of sampling device structures on impurity visualization, grain distribution, and mass flow rate was investigated by the discrete element method (DEM). The impurity recognition algorithm was proposed based on Mask R-CNN, which mainly includes an impurity feature extraction network, an ROI generation network, and a target segmentation network. The test set experiment showed that the precision rate, recall rate, average precision, and comprehensive evaluation indicator of the impurity recognition model were 92.49%, 88.63%, 81.47%, and 90.52%, respectively. The conversion between impurity pixel number and its actual mass was realized according to the pixel density calibration test and impurity rate correction factor. The bench test result showed that the designed system has a good detection accuracy of 91.15~97.26% for the five varieties. The result relative error was in a range of 5.71~11.72% between the impurity-detection system and manual method in field conditions. The impurity-detection system could be applied to tracked rice combine harvesters to provide a reference for the adjustment of operating parameters. Artificial intelligence ; Impurity ; Brightness ; Histogram ; Pixel ; Sampling (signal processing) ; Computer vision ; Computer science ; Biological system ; Materials science ; Analytical Chemistry (journal) ; Chemistry ; Optics ; Physics ; Image (mathematics) Spectroscopy and Chemometric Analyses ; Agricultural Engineering and Mechanization ; Industrial Vision Systems and Defect Detection
Authors: Yong Liu | Hao Wang | Han Zhang | Boxue Du
Source: Polymers (article, 2022-08-02)
Field: Materials Science — Materials Chemistry

Thermal Aging Evaluation of XLPE Power Cable by Using Multidimensional Characteristic Analysis of Leakage Current Thermal aging is a common form of cable deterioration. In this paper, the effect of thermal aging on cables is evaluated by analyzing the harmonic characteristics in cable leakage currents. Cable samples were first fabricated and subjected to accelerated thermal aging tests at 120 °C. The experimental circuits were built to test the dielectric loss factor and the AC leakage current of the cable at different aging times. Then, the improved variational modal decomposition (VMD) algorithm was used for the time-frequency analysis of the leakage current, and the relationship between thermal aging and leakage current harmonics was investigated. Thermal aging was discovered to increase the capacitance and dielectric loss factor of the cable as well as generate harmonics in the leakage current, with harmonics at 150, 450, and 650 Hz being particularly sensitive to thermal aging. The multidimensional characteristic parameters such as the time-domain, frequency-domain, and relative energy and the sample entropy of the leakage current harmonics were calculated. The results demonstrated thermal aging increased the relative energy and power spectrum energy of the harmonics and increased the disorder of the harmonic sequence. Materials science ; Current (fluid) ; Power cable ; Leakage (economics) ; Nuclear engineering ; Thermal analysis ; Reliability engineering ; Electrical engineering ; Forensic engineering ; Thermal ; Composite material ; Structural engineering ; Engineering ; Physics ; Thermodynamics High voltage insulation and dielectric phenomena ; Thermal Analysis in Power Transmission ; Power Transformer Diagnostics and Insulation
Authors: K. Sunil Kumar | Sumathy Muniamuthu | A. Mohan | P. Amirthalingam | M. Anbu Muthuraja
Source: Journal of Ecological Engineering (article, 2022-01-01)
Field: Materials Science — Polymers and Plastics

Effect of Charging and Discharging Process of PCM with Paraffin and Al&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt; Additive Subjected to Three Point Temperature Locations This analysis focused on investigating thermal storage behaviour on phase change material along with Al 2 O 3 as an additive. The experimental investigation was performed by three set temperature points, i.e. 40 C, 50 C and 60 C with the mass circulation rate through the tank of 5 kg/min, 3 kg/min and 2 kg/min. The forced circulation method was used to circulate the liquid, water was used as a working medium and Al 2 O 3 as nano particle. Paraffin acts a phase change material to conduct the experimental procedure. The combination of paraffin with Al 2 O 3 improves the latent heat storage of the material. The performance, with respect to charging and discharging of the material, was investigated and it was observed that the temperature location point of 50 C shows the best results in terms of charging and discharging phenomena, compared to other two temperature location points. During the process of charging, the maximum rate of heat transfer can be achieved by Al 2 O 3 nanofluids. Paraffin along with Al 2 O 3 are characterized by the best thermal storage behaviour during the latent heat storage at charging process and dissipation of heat during discharge process. The rapid cooling comparison for three set location points has been studied and best solidification was achieved at the point of 60 C; this is due to the rapid cooling at higher elevation temperatures. The energy that was stored in thermal form is to be transferred with the aid of heat exchanger, a special type heat exchanger employed in this analysis to transfer the heat. From this analysis it is concluded that paraffin with Al 2 O 3 are characterized by the best performance in terms of the charging and discharging phenomenon. Process (computing) ; Materials science ; Chemistry ; Waste management ; Nuclear chemistry ; Engineering ; Computer science Polymer composites and self-healing
Authors: Maria Morga | Piotr Batys | Dominik Kosior | Piotr Bonarek | Zbǐgniew Adamczyk
Source: International Journal of Environmental Research and Public Health (article, 2022-03-17)
Field: Chemistry — Physical and Theoretical Chemistry

Poly-L-Arginine Molecule Properties in Simple Electrolytes: Molecular Dynamic Modeling and Experiments Physicochemical properties of poly-L-arginine (P-Arg) molecules in NaCl solutions were determined by molecular dynamics (MD) modeling and various experimental techniques. Primarily, the molecule conformations, the monomer length and the chain diameter were theoretically calculated. These results were used to interpret experimental data, which comprised the molecule secondary structure, the diffusion coefficient, the hydrodynamic diameter and the electrophoretic mobility determined at various ionic strengths and pHs. Using these data, the electrokinetic charge and the effective ionization degree of P-Arg molecules were determined. In addition, the dynamic viscosity measurements for dilute P-Arg solutions enabledto determine the molecule intrinsic viscosity, which was equal to 500 and 90 for ionic strength of 10<sup>-5</sup> and 0.15 M, respectively. This confirmed that P-Arg molecules assumed extended conformations and approached the slender body limit at the low range of ionic strength. The experimental data were also used to determine the molecule length and the chain diameter, which agreed with theoretical predictions. Exploiting these results, a robust method for determining the molar mass of P-Arg samples, the hydrodynamic diameter, the radius of gyration and the sedimentation coefficient was proposed. Radius of gyration ; Molecule ; Chemistry ; Ionic strength ; Electrokinetic phenomena ; Intrinsic viscosity ; Hydrodynamic radius ; Viscosity ; Molar mass ; Sedimentation coefficient ; Electrophoresis ; Electrolyte ; Diffusion ; Analytical Chemistry (journal) ; Ionic bonding ; Thermodynamics ; Chemical physics ; Polymer ; Physical chemistry ; Chromatography ; Ion ; Aqueous solution ; Organic chemistry Electrostatics and Colloid Interactions ; Microfluidic and Capillary Electrophoresis Applications ; Nanopore and Nanochannel Transport Studies
Authors: C. Abinash Bhuyan | Kishore K. Madapu | K. Prabakar | Arindam Das | S. R. Polaki | Shyam Kanta Sinha | Sandip Dhara
Source: Advanced Materials Interfaces (article, 2022-03-23)
Field: Materials Science — Materials Chemistry

A Novel Methodology of Using Nonsolvent in Achieving Ultraclean Transferred Monolayer MoS<sub>2</sub> Abstract The transfer of monolayer molybdenum disulfide (1L‐MoS 2 ) onto any target substrates is inevitable for the next generation of optoelectronic devices such as flexible electronics. However, the existing post‐transfer treatments are ineffective for the complete removal of poly(methyl methacrylate) (PMMA) polymer, which is usually used as carrier polymer in the wet‐transfer method. The presence of PMMA residues seriously degrades the intrinsic properties of any 2D materials. Several new cleaning methods such as annealing, ozone cleaning, and acetone treatment adopted in this report are found to be ineffective for the complete removal of PMMA residues on the transferred 1L‐MoS 2 film. A new chemical route is developed and demonstrated with a PMMA nonsolvent, ethanol, and ultraclean transferred 1L‐MoS 2 is obtained after 96 h hot ethanol treatment. An interfacial diffusion model is proposed for the mechanism of PMMA removal from the 1L‐MoS 2 surface. To observe the effect of cleaning process on electrical properties, 1L‐MoS 2 field‐effect transistor (FET) devices are fabricated. An enhancement of 80%–85% in the electron mobility is achieved for ultraclean 1L‐MoS 2 . One order improvement in the FET parameters such as ON/OFF ratio and the subthreshold slope is also observed. It is believed that this novel method can also be applicable for other 2D materials. Materials science ; Monolayer ; Molybdenum disulfide ; Polymer ; Transistor ; Annealing (glass) ; Optoelectronics ; Chemical engineering ; Field-effect transistor ; Nanotechnology ; Composite material ; Voltage ; Electrical engineering 2D Materials and Applications ; Perovskite Materials and Applications ; Advanced Sensor and Energy Harvesting Materials
Authors: Cristina E. Almeida‐Naranjo | Vladimir Valle | Alex Darío Aguilar | Francisco Cadena | Jerónimo Kreiker | Bárbara Belén Raggiotti
Source: Materials (article, 2022-07-19)
Field: Materials Science — Polymers and Plastics

Water Absorption Behavior of Oil Palm Empty Fruit Bunch (OPEFB) and Oil Palm Kernel Shell (OPKS) as Fillers in Acrylic Thermoplastic Composites In recent years, the use of oil palm wastes has been an interesting approach for the development of sustainable polymer matrix composites. Nevertheless, the water absorption behavior of these materials is one of the most critical factors for their performance over time. In this study, the water uptake characteristics of acrylic thermoplastic matrix composites reinforced separately with oil palm empty fruit bunch (OPEFB) and oil palm kernel shell (OPKS) were evaluated through immersion test in distilled water. The specimens of both composites were manufactured using the compression molding technique at three temperatures (80, 100, and 120 °C) using different particle sizes (425−600 and 600−850 µm). The composites, before and after the absorption test, were characterized by means of Fourier transform infrared spectroscopy, thermogravimetry, and scanning electron microscopy. The evaluation was complemented by the application of the Fickian diffusion model. Overall results showed that water absorption capacity decreased at a higher processing temperature and a larger particle size. In particular, it was observed that the type of reinforcement also influenced both water absorption and diffusivity. OPKS/acrylic and OPEFB/acrylic composites reached a maximum absorption of 77 and 86%, with diffusivities of 7.3 × 10−9 and 15.2 × 10−9 m2/min, respectively. Experimental evidence suggested that the absorption mechanism of the composites followed a non-Fickian model (n < 1.0). Composite material ; Absorption of water ; Materials science ; Palm oil ; Palm kernel ; Thermoplastic ; Palm kernel oil ; Shell (structure) ; Palm ; Thermoplastic composites ; Chemistry ; Food science Natural Fiber Reinforced Composites ; Advanced Cellulose Research Studies ; Nanocomposite Films for Food Packaging