jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Urban Kotnik | Alen Oseli | Jože Kutin | Miroslav Halilovič | Lidija Slemenik Perše
Source: Repository of the University of Ljubljana (University of Ljubljana) (article, 2026-03-24)
Field: Materials Science — Polymers and Plastics

Vrednotenje merilne negotovosti pri določanju viskoelastičnih materialnih funkcij polipropilena na osnovi preizkusov lezenja Modern numerical models use time-dependent material parameters as input data to simulate the viscoelastic response of polymers. Reliable numerical predictions therefore depend on the accurate determination of these parameters. Understanding the measurement uncertainty associated with their identification is essential for assessing the expected range and reliability of the simulation results. Although creep-based uncertainty analyses have been reported for other materials, uncertainty evaluations for polymers that require the determination of multiple viscoelastic material functions remain scarce, with existing polymer studies primarily relying on relaxation tests. This study experimentally analyzes the viscoelastic behavior of polypropylene at 60 °C through tensile and shear creep tests based on extensional and rotational rheometry. The tensile, shear, and bulk compliance functions were determined together with their corresponding standard and expanded measurement uncertainties in accordance with the JCGM 100:2008 guideline. Type A uncertainties were found to dominate the overall uncertainty, with relative expanded uncertainties of approximately 3 percent for shear compliance and up to 25 percent for bulk compliance. The study identifies the main sources of uncertainty and proposes strategies for their reduction, including increasing the number of measurement repetitions and improving environmental control. Overall, a comprehensive uncertainty evaluation of the creep-based determination of viscoelastic material functions is presented, leading to more reliable input data for numerical simulations. Viscoelasticity ; Creep ; Measurement uncertainty ; Reliability (semiconductor) ; Shear (geology) ; Material properties ; Range (aeronautics) ; Numerical analysis Polymer crystallization and properties ; Rheology and Fluid Dynamics Studies ; Material Dynamics and Properties
Authors: Xiantao He | Yong Li | Jinting Zhu | Ceang Wen | Dawei Sun | Li Yang | G. F. Xu | Tao Cui | Kailiang Zhang | Ying Deng
Source: Sensors (article, 2026-02-19)
Field: Chemistry — Analytical Chemistry

Energy-Efficient and Economy-Sustainable Technology for Online Seed Viability Detection Using Hyper Spectrum The seed viability detection before sowing is indispensable in the agricultural production of mung beans. The conventional detection methods for seed viability are destructive, carry a risk of contamination, and fail to identify individual non-viable seeds. In this study, an efficient and sustainable method for online viability detection of mung bean seeds was developed, which utilized hyperspectral techniques and had characteristics of rapid speed, non-destructive analysis, and the ability to detect the viability status without pollution to the environment. A sample holder for mung bean seeds was designed to stably collect spectral data. The effects of different optimal spectral bands and modeling algorithms on the detection accuracy of seed viability were analyzed. Compared to the support vector machine (SVM) and the extreme learning machine (ELM) algorithms, the partial least squares (PLS) algorithm based on the visible and near-infrared spectra (380~980 nm) had better performance. The accuracy for the identification of non-viable seeds was 98.8%, and the error of viability prediction was 20.71%. The cost of a one-time viability test is $0.25 with energy consumption of 0.05 kWh<sup>-1</sup>, which is much lower than the germination test with a cost of $80.2 and energy consumption of 50.4 kWh<sup>-1</sup>. Furthermore, individual non-viable seeds can be identified and removed, and the revenue increases by $286.9 per hectare after sorting the non-viable seeds from the seeds with an 85% germination rate. This will promote the cleaner production of mung beans without additional chemical solutions added in the process. Germination ; Support vector machine ; Sorting ; Hyperspectral imaging ; Viability assay ; Sowing ; Energy consumption Spectroscopy and Chemometric Analyses ; Smart Agriculture and AI ; Agricultural Engineering and Mechanization
Authors: M. Ramakumaresan | V. Kornev | P. Kartha | I. F. Nahmad | S. Ravindran
Source: Journal of Dynamic Behavior of Materials (article, 2026-02-17)
Field: Materials Science — Materials Chemistry

Automated Split Hopkinson Pressure Bar for High-Throughput Dynamic Experiments The design of novel, impact-resistant materials require extensive datasets to support data-driven design and predictive modeling. While high throughput characterization is feasible at the sample micro and nanoscale, there remains a critical need for an experimental tool capable of facilitating high-throughput measurements at the macroscale. This paper presents the design and development of a fully automated split Hopkinson pressure bar (SHPB) with full-field diagnostics for performing dynamic compression experiments on different materials. The automated SHPB consists of four main components: (1) striker launch and retrieval system, (2) bar repositioning mechanism, (3) automated sample placement system, and (4) diagnostics. Each system integrates electromechanical devices and actuators, enabling fully automated SHPB experiments with minimal human intervention, increasing reproducibility and throughput. A data analysis tool has been developed to automate the post-processing of the data obtained from the setup. The setup also incorporates automated high-speed imaging, enabling full-field strain measurement capabilities. To benchmark the setup, fully automated dynamic compression experiments were conducted on 45 Copper 101 samples, 20 samples made with 1100 aluminum and 20 samples of polycarbonate. Stress-strain curves were extracted from the raw data using the automated data analysis tool and validated against conventional SHPB analysis techniques, ensuring both speed and reliability in high-throughput testing. Full-field strain measurements in experiments show strain values comparable to those obtained with strain gages. This automated SHPB system enables dynamic compression experiments at an unprecedented rate of 60 samples per hour, significantly accelerating data generation for high-strain-rate materials research. Split-Hopkinson pressure bar ; Bar (unit) ; Dynamic range compression ; Compression (physics) ; Solid mechanics ; Benchmark (surveying) ; Reliability (semiconductor) ; Dynamic testing ; Reproducibility High-Velocity Impact and Material Behavior ; Energetic Materials and Combustion ; Boron and Carbon Nanomaterials Research
Authors: Bohan Zhang | Hao Zhang | Fei Zhang | Wei Liu | Yuanmu Yang
Source: eLight (article, 2026-02-12)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Far-field superresolution imaging via k-space superoscillation Abstract The resolution of an imaging system has long been constrained by the Abbe-Rayleigh diffraction limit. While significant progress has been made in developing superresolution techniques, many approaches rely on near-field scanning, fluorescence labeling, and are hindered by trade-offs among resolution, field-of-view, and energy efficiency. Here, we introduce a conceptually new approach that enables far-field, label-free superresolution imaging while avoiding the image-plane sidebands inherent to real-space superoscillatory imaging systems. By exploiting a 3D-patterned metalens with a topology-optimized response in both real- and k (wavevector)-space, we disrupt the spatially shift-invariance assumption in classical imaging systems, significantly expanding the effective lens aperture through a mechanism we term k -space superoscillation. This achieves resolution beyond the Rayleigh criterion. Prototype experiments at microwave frequencies demonstrate a twofold resolution enhancement over the diffraction limit without computational post-processing. This work opens avenues for applications ranging from biology, astronomy, and materials science. Superresolution ; Diffraction ; Lens (geology) ; Resolution (logic) ; Limit (mathematics) ; Synthetic aperture radar ; Image resolution ; Microwave imaging ; Aperture (computer memory) Metamaterials and Metasurfaces Applications ; Near-Field Optical Microscopy ; Plasmonic and Surface Plasmon Research
Authors: Qiyang Shui | Fajun Miao | Senping Liu | Liang Cao | Huanyu Jiang | Jinzhu Lu
Source: Food Science & Nutrition (article, 2026-01-01)
Field: Chemistry — Analytical Chemistry

A Fast and Real‐Time Machine Vision Evaluation System for Size Grading of <i>Agaricus bisporus</i> Based on Video Automatic grading in factory production is a key component for improving production efficiency and ensuring product quality. As one of the most widely consumed edible mushrooms in the world, the cap diameter of <i>Agaricus bisporus</i> is a key factor affecting the market selling price. In addition to the high labor cost, manual grading is subjective and prone to human assessment errors. Therefore, this study proposes a video-based fast real-time machine vision evaluation system for size grading of <i>Agaricus bisporus</i> mushrooms. The designed grading system consists of a conveyor belt to achieve transportation of <i>Agaricus bisporus</i> and an overhead color camera to perform size quality assessment. Considering deployment on edge devices, we have optimized the YOLOv5 model for lightweight performance by adopting ShuffleNetV2 as the backbone network, significantly improving the model's lightweight performance and processing speed. At the same time, we investigated the balance between transport speed and recognition accuracy to ensure that the system maintains a high recognition rate while producing efficiently. The results show that the size of the improved model is reduced by 86.1%, FPS is increased by 9.8%, and mAP is 97.1%. The experimental field results show that the grading can still be performed at a high speed with a transmission speed of 130.17 mm/s. The grading speed can reach 1066.67 mushrooms/min with an accuracy of 97.87%, and it also has strong adaptability and stability in low resolution and low light conditions. The video-based model can detect <i>Agaricus bisporus</i> mushrooms that are always in motion, which is more suitable for practical detection than a single image-based detection model. Adaptability ; Grading (engineering) ; Machine vision ; Evaluation methods ; Transmission system Spectroscopy and Chemometric Analyses ; Smart Agriculture and AI ; Cell Image Analysis Techniques
Authors: G. Nakkeeran | L. Krishnaraj | Uzoma Ibe Iro | George Uwadiegwu Alaneme | Mutiu Shola Bakare
Source: Discover Applied Sciences (article, 2026-02-24)
Field: Materials Science — Polymers and Plastics

Development of thermal-resistant and eco-efficient insulation boards from agro-waste using alkali-activated binders The investigation examined the production of particleboards using sugarcane bagasse and rice husk, along with hydrated lime, sodium hydroxide, and sodium silicate. Traditionally sourced from fresh wood, particleboard manufacture contributes to deforestation and health hazards from formaldehyde-based adhesives. This study investigates the feasibility of agro-waste particleboard, enhanced with modern binding agents to improve its structural integrity. Common agricultural byproducts, such as rice husk and sugarcane bagasse, present promising avenues for sustainable materials. Hydrated lime acts as reinforcement, while sodium silicate and hydroxide serve as effective binders. The study examined how variations in processing parameters influence key material properties, including dry density, pH, moisture content, water absorption, and bending strength. Notably, particleboard blends M3 exhibited favourable characteristics, including a dry density of 685.8 kg/m3, a moisture content of 10.8%, a water absorption rate of 78.7%, a pH of 9.89, and a static bending strength of 11.5 kg. The pursuit of eco-friendly alternatives aims to mitigate environmental impact and advocate for efficient waste management, potentially yielding particleboards with superior performance and ecological benefits. Agro-waste–based particleboards produced from sugarcane bagasse and rice husk, bonded with hydrated lime and alkaline activators, demonstrated viable mechanical and physical performance as sustainable alternatives to wood-based boards. Processing parameters significantly influenced dry density, moisture content, water absorption, pH, and bending strength, with the M3 blend achieving optimal performance and structural integrity. The findings highlight the potential of agricultural waste valorization to reduce deforestation, eliminate formaldehyde-related health risks, and promote environmentally responsible particleboard production. Bagasse ; Moisture ; Husk ; Lime ; Absorption of water ; Raw material ; Sodium hydroxide ; Water content Natural Fiber Reinforced Composites ; Lignin and Wood Chemistry ; Wood Treatment and Properties
Authors: Wael A. Altabey
Source: Journal of Polymer Science and Engineering (article, 2026-03-23)
Field: Materials Science — Materials Chemistry

A novel material model of BFRP laminated composite diaphragms for nano electro mechanical sensors Understanding the mechanical properties of diaphragms is crucial for the reliability and performance of Nano Electro Mechanical Sensors (NEMS). There are various methods documented for characterizing micro materials. One well-established nondestructive approach is the bulge test, which is effective for examining the mechanical traits of diaphragms. This study aims to enhance NEMS performance by exploring how a Nano rectangular diaphragm (NRD), created from a new material within NEMS, behaves mechanically through an improved bulge test technique. The NRD is made from layers of basalt fiber reinforced polymer (BFRP) laminate composites, sized at the nanoscale, and was tested at room temperature for plane-strain bulging. Before applying any loads, the NRD is pre-stressed to eliminate any initial deflection and then securely clamped between two plates. A differential pressure is applied, causing deformation in the laminated composite NRD. This setup makes the plane-strain bulge test well-suited for analyzing the mechanical properties of the laminated composite NRD in both elastic and plastic states. We derived an exact solution to the governing equations for the symmetric cross-ply BFRP laminated composite NRD, taking into account the impact of residual strength from the pre-stressed condition. The relationship between stress and strain for the BFRP laminated composite NRD was determined through hydraulic bulging tests, and we analyzed the gradual thickness changes at different points of the hemisphere formed during the bulge test. We can also extend a finite element model (FEM) to analyze the BT outcomes and look into how pre-stress influences the pressure testing, comparing results from the FEM with those derived from analytical calculations. The relative error (E_r) for w_max between the analytical and numerical results is less than 0.336%. We ran simulations using ANSYS, MATLAB and its PDE toolbox to get our results. Composite number ; Basalt fiber ; Finite element method ; Deflection (physics) ; Rivet ; Ultimate tensile strength ; Residual stress ; Tensile testing Carbon Nanotubes in Composites ; Nonlocal and gradient elasticity in micro/nano structures ; Nanotechnology research and applications
Authors: Shuangshuang Yan | Dongying An | Yutian Zhou | Xinli Guo | Zhihang Qin | Li Yuan | Mengmeng Wang | Yong Zhang
Source: Research Square (preprint, 2026-02-02)
Field: Materials Science — Materials Chemistry

Engineering a BSA-templated Iridium Oxide Nanozyme for Colorimetric Evaluation of Total Antioxidant Capacity in Food Samples Antioxidant ; Bovine serum albumin ; Colorimetry ; Iridium ; Antioxidant capacity ; Reproducibility ; Peroxidase Advanced Nanomaterials in Catalysis ; Biosensors and Analytical Detection ; Electrochemical sensors and biosensors
Authors: Fransiskus Xaverius Maradona Manteiro | Tavio | Hosta Ardhyananta
Source: Open Journal Systems (Taiwan Association of Engineering and Technology Innovation) (article, 2026-02-13)
Field: Materials Science — Polymers and Plastics

Assessment of Hot-Water-Alkali Treated Bagasse Fiber in Metakaolin-Based Geopolymer Using Machine Learning This study aims to develop metakaolin-based geopolymers reinforced with sugarcane bagasse fiber (BF) and to evaluate the effect of BF treatment on the composite's performance. The BF is pretreated with hot water and sodium hydroxide before being incorporated into the geopolymer matrix. Metakaolin-based geopolymer specimens containing 0%, 3%, 4%, and 5% BF by weight are prepared, and their mechanical properties and water absorption are analyzed. Scanning electron microscopy and Fourier transform infrared spectroscopy analyses reveal that the combined hot-water-alkali treatment significantly modifies the fiber surface. The treatment removes impurities and increases surface roughness, thereby enhancing fiber–matrix bonding. As a result, this treatment improves compressive and splitting tensile strength (STS) while reducing water absorption compared to untreated BF. Furthermore, machine learning algorithms, including random forest, AdaBoost, and XGBoost, are applied to predict STS. Among the three models, XGBoost demonstrates the highest predictive accuracy (R^² = 0.95, MAE = 0.28), indicating reliable predictions of mechanical strength. Geopolymer ; Absorption of water ; Sodium hydroxide ; Ultimate tensile strength ; Bagasse ; Compressive strength ; Fiber ; Fourier transform infrared spectroscopy Natural Fiber Reinforced Composites ; Concrete and Cement Materials Research ; Innovative concrete reinforcement materials
Authors: Mohsen Mehregan | Ebrahim Alinia-Ahandani | Sahebe Hajipour | Samra Mededovic | Zeliha Selamoğlu
Source: Wah Academia Journal of Health and Nutrition (article, 2026-03-30)
Field: Materials Science — Biomaterials

A review of the analysis of the effects of nanoparticle morphology on intracellular drug delivery Nanoparticles have been used as promising carriers for targeted and controlled drug delivery by researchers due to their unique physicochemical properties, such as size, surface charge, and especially shape. Among these parameters, the shape of nanoparticles has attracted increasing attention because it significantly affects their interactions with biological barriers, including blood vessels, cell membranes, and extracellular matrix. The aim of this study is to investigate and analyze the effects of nanoparticle shape on drug delivery efficiency and to classify related articles based on clinical and experimental findings. A comprehensive review was conducted on 30 scientific articles, from which 22 studies published between 2010 and 2025 were selected that directly investigated the role of particle shape in drug delivery systems. While spherical nanoparticles have received the most attention, recent evidence suggests that rod-shaped, disc-like, and elongated structures may provide increased circulation time, improved tumor penetration, and more controlled drug release profiles. The findings suggest that precise engineering of nanoparticle morphology, along with size variations, is crucial for optimizing drug delivery performance. Overall, controlling the shape of nanoparticles offers a powerful strategy for improving therapeutic outcomes in the treatment of cancer and other complex diseases. Drug delivery ; Nanoparticle ; Drug ; Targeted drug delivery ; Drug carrier ; Nanomedicine ; Blood circulation ; Cancer therapy Nanoparticle-Based Drug Delivery ; Advanced Drug Delivery Systems ; Curcumin's Biomedical Applications
Authors: Nan Deng | Yu Xiao | Srilok Srinivasan | Subramanian K. R. S. Sankaranarayanan | X. Y. Zhang | David A. Czaplewski | Daniel López | Haogang Cai
Source: Moore and More (article, 2026-02-16)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Transfer, integration, and inverse design of metasurfaces in suspended membranes The online version contains supplementary material available at 10.1007/s44275-026-00041-y. Inverse ; Inverse problem ; Membrane ; Suspension (topology) Metamaterials and Metasurfaces Applications ; Plasmonic and Surface Plasmon Research ; Advanced Wireless Communication Technologies
Authors: Leon D. da Silva | Marcelo P. Santos
Source: arXiv (Cornell University) (article, 2026-03-22)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Lie-algebraic incompleteness of symmetry-adapted VQE for non-Abelian molecular point groups Symmetry-adapted variational quantum eigensolvers (VQE) based on the Unitary Coupled-Cluster ansatz (SymUCCSD) effectively reduce the parameter count for Abelian molecular point groups, yet they systematically fail for non-Abelian groups without a fully established theoretical explanation. In this work, we prove that the Abelian-subgroup restriction induces a spurious splitting of multidimensional irreducible representations, prematurely discarding cross-component excitations. At the Lie-algebraic level, this filter confines the Dynamical Lie Algebra (DLA) to the Abelian subalgebra $\mathfrak{u}(1)^{d_λ}$, restricting the reachable state manifold to a measure-zero torus $\mathbb{T}^{d_λ}$. However, completing the algebra is insufficient on its own due to a critical numerical trap: when standard molecular orbitals adapted solely to an Abelian subgroup are utilized, cross-component integrals vanish identically, creating an artificial zero-gradient plateau along non-Abelian algebraic directions. Numerical experiments on NH$_3$/STO-3G ($C_{3v}$, 16 qubits) confirm both the predicted DLA confinement and the gradient plateau, with SymUCCSD converging to an error of $21.8$~mHa above the FCI energy despite full optimizer convergence. Our analysis provides a rigorous algebraic and geometric diagnosis for the observed numerical breakdown, establishing that recovering full equivariant dynamics fundamentally necessitates both the inclusion of complete off-diagonal generators and the strategic parametrization of non-Abelian degrees of freedom. Abelian group ; Covariant transformation ; Ansatz ; Algebraic number ; Subalgebra ; Algebra over a field ; Torus ; Lie group Magnetism in coordination complexes ; Spectroscopy and Quantum Chemical Studies ; Advanced Chemical Physics Studies