jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Zsigmond Pollner | Tímea Nóra Török | László Pósa | Miklós Csontos | S. Schmid | Zoltán Balogh | András Bükkfejes | Heungsoo Kim | Alberto Piqué | Jeurg Leuthold | János Volk | András Halbritter
Source: ArXiv.org (preprint, 2025-06-01)
Field: Materials Science — Polymers and Plastics

VO$_2$ oscillator circuits optimized for ultrafast, 100 MHz-range operation Oscillating neural networks are promising candidates for a new computational paradigm, where complex optimization problems are solved by physics itself through the synchronization of coupled oscillating circuits. Nanoscale VO$_2$ Mott memristors are particularly promising building blocks for such oscillating neural networks. Until now, however, not only the maximum frequency of VO$_2$ oscillating neural networks, but also the maximum frequency of individual VO$_2$ oscillators has been severely limited, which has restricted their efficient and energy-saving use. In this paper, we show how the oscillating frequency can be increased by more than an order of magnitude into the 100 MHz range by optimizing the sample layout and circuit layout. In addition, the physical limiting factors of the oscillation frequencies are studied by investigating the switching dynamics. To this end, we investigate how much the set and reset times slow down under oscillator conditions compared to the fastest switching achieved with single dedicated pulses. These results pave the way towards the realization of ultra-fast and energy-efficient VO$_2$-based oscillating neural networks. Memristor ; Realization (probability) ; Oscillation (cell signaling) ; Artificial neural network ; Synchronization (alternating current) ; Control theory (sociology) ; Electronic circuit ; Reset (finance) ; Relaxation oscillator Transition Metal Oxide Nanomaterials ; GaN-based semiconductor devices and materials ; Optical Wireless Communication Technologies
Authors: Zsigmond Pollner | Tímea Nóra Török | László Pósa | Miklós Csontos | S. Schmid | Zoltán Balogh | András Bükkfejes | Heungsoo Kim | Alberto Piqué | Juerg Leuthold | János Volk | András Halbritter
Source: Advanced Electronic Materials (article, 2025-10-23)
Field: Materials Science — Polymers and Plastics

VO <sub>2</sub> Oscillator Circuits Optimized for Ultrafast, 100 MHz‐Range Operation Abstract Oscillating neural networks are promising candidates for a new computational paradigm, where complex optimization problems are solved by physics itself through the synchronization of coupled oscillating circuits. VO 2 Mott memristors are particularly promising building blocks for such oscillating neural networks. Until now, however, not only the maximum frequency of VO 2 oscillating neural networks, but also the maximum frequency of individual VO 2 oscillators is severely limited, which has restricted their efficient and energy‐saving use. In this study, it is showed how to increase the oscillating frequency by more than an order of magnitude into the 100 MHz range utilizing ultrasmall, ≈30 nm wide active volume VO 2 devices and optimizing the circuit layout for high frequency operation. In addition, the physical limiting factors of the oscillation frequencies are studied by investigating the complex switching dynamics of our nanoscale VO 2 devices. These dynamical studies, together with simulations, provide a clear conclusion on the maximum achievable operating frequencies and the optimal operating parameters under which these can be reached. Oscillation (cell signaling) ; Memristor ; Synchronization (alternating current) ; Limiting ; Relaxation oscillator ; Electronic circuit ; Artificial neural network ; Control theory (sociology) Transition Metal Oxide Nanomaterials ; Advanced Memory and Neural Computing ; Optical Wireless Communication Technologies
Authors: Bijish Babu
Source: Communications on Applied Nonlinear Analysis (article, 2025-03-26)
Field: Materials Science — Materials Chemistry

Enhancing Performance through Geometry and Structure Optimization in Thermoelectric Systems This study aims to create and simulate a highly advantageous device is the thermoelectric generator for the waste heat recovery by optimizing its geometric configuration for high efficiency. Each thermoelectric module operates based on the Seebeck effect. Electrons move from the hot junction to the cold junction through thermoelectric materials due to variations in electron density. This movement generates an electric field, linked to the temperature difference via the Seebeck effect caused by hole and electron motion. The potential difference V is proportional to the α temperature difference across the thermoelectric device ∆T, and the Seebeck coefficient is defined as α = V∆T.[4] Although To enhance the efficiency, the figure of merit and in this work mainly focus on the impact of geometry design factors, including the cross sectional area and height of the device using TE materials Bi2Te3(P,N Type) on the Thermoelectric Generator performance. Geometric module Geometry studies are carried out using the Comsol Multiphysics to optimize the TEG’s performance of the Efficiency [2]. The results show that employing Bi2Te3(P,N-Type at different hot side temperatures and cold side at different temperatures, different TEG modules designed, one particular geometry of TEG module increases TEG efficiency by 17.4% at ∆T = 323˚K compared different geometry cases of the TEG modules. However, a maximum power output of 7.3W was Achieved by varying the Geometry of Thermoelectric Generator modules with different cases, at particular case-III of Geometry TEG got high conversion efficiency. Thermoelectric effect ; Geometry ; Energy minimization ; Mechanical engineering ; Materials science ; Computer science ; Engineering drawing ; Mathematics ; Engineering ; Physics ; Thermodynamics Advanced Thermoelectric Materials and Devices
Authors: Alexey V. Kruglov | Evgeny S. Telegin | Pavel A. Kruglov | Aleksey Yu. Matrohin | Natalia A. Gruzintseva
Source: Technologies & Quality (article, 2025-12-18)
Field: Materials Science — Polymers and Plastics

An automated approach to determining the coefficient of drapery of textile fabrics The modern textile industry requires objective methods for evaluating fabric drape, which is crucial for designing products with specific properties. This article addresses the limitation of existing methods, which primarily focus on static measurements. The study aims to develop an automated approach for the comprehensive analysis of both static and dynamic drape parameters. An original hardware-software complex, Drapetester, is proposed, utilising computer vision to measure the drape coefficient, fold geometry, amplitude, and transparency. The system’s architecture and image processing algorithm are detailed. The system’s functionality is experimentally confirmed on fabrics of different structures. As a further development, the use of a CatBoost machine learning model to predict the dynamic behaviour of fabric is proposed, which might significantly reduce testing time. Textile ; Focus (optics) ; Measure (data warehouse) ; Image processing ; Machine vision ; Textile industry Textile materials and evaluations ; Industrial Vision Systems and Defect Detection ; Engineering and Agricultural Innovations
Authors: Yuantong Zhang | Xiufeng Zhang | Bingbing Yu | Bo Wang | Bing Zhou | Yang Chen
Source: Processes (article, 2025-11-28)
Field: Materials Science — Materials Chemistry

Dynamic Response of Gradient Composite Rock Masses Under Explosive Plane Waves This study investigates the dynamic mechanical characteristics of strength-gradient composite rock masses under one-dimensional explosive plane waves by integrating digital image correlation (DIC) and Lagrangian inverse analysis. Using a one-dimensional explosive plane wave generator, high-spatiotemporal resolution displacement and strain data were acquired from specimen surfaces via an ultra-high-speed camera and DIC. The study compared the decay patterns of blast stress waves and deformation features of rock under two loading paths (forward and backward gradients) for three explosive charges, and employed Lagrangian inverse analysis to determine the strength-gradient distribution within the composite rock mass. The Lagrange inverse analysis method was employed to derive the constitutive relationship of the strength-gradient composite rock mass. The results indicate that in forward gradient rock masses, stress waves undergo stress jumps at joint surfaces, leading to increased wave amplitudes. In backward gradient rock masses, stress wave attenuation is more pronounced. In forward gradient coarse sandstone, stress attenuation rates are significantly higher than in the other two sandstone types. In backward gradient gray sandstone, attenuation rates are markedly greater than in the other two sandstones. However, under identical charge conditions, coarse sandstone exhibits a higher attenuation coefficient than gray sandstone. This indicates that stress waves decay more rapidly in the immediate vicinity of the explosion and that weaker media exhibit faster decay rates. The findings reveal the propagation patterns of explosive stress waves in layered gradient materials, providing a theoretical basis for engineering blasting in layered rock formations. Explosive material ; Attenuation ; Plane wave ; Displacement (psychology) ; Rock mass classification ; Stress (linguistics) ; Plane stress ; Composite number ; Lagrangian analysis ; Shock wave Nonlocal and gradient elasticity in micro/nano structures ; Rock Mechanics and Modeling ; Structural Response to Dynamic Loads
Authors: Jakub Harvanec | Miloš Mičian | Martin Frátrik
Source: Technológ (article, 2025-01-01)
Field: Materials Science — General Materials Science

Study of local mechanical properties and deformation mechanisms of the soft zone of welded joints of high-strength steels High-strength steels (HSS) are crucial in the production of lightweight structures. Their welding creates a distinct heterogeneous heat-affected zone (HAZ) in which a softened zone with locally lower mechanical properties forms. This critical zone acts as a weak point, concentrates strain, and can initiate failure, thereby compromising the structural integrity of the welded joint. Detailed understanding of the local behaviour of this zone is insufficiently investigated. Standard tests provide only basic data, which limits the reliability of simulations and the integrity assessment of steel structures. The article deals with the characterization of the local mechanical properties and deformation behaviour of the HAZ softened zone using the DIC (Digital Image Correlation) and nanoindentation techniques. The combined approach enables a comprehensive understanding of the mechanical properties of the HAZ subzones, crucial for assessing the reliability and integrity of welded structures. Welding ; Materials science ; Deformation (meteorology) ; Mechanical strength ; Composite material ; Structural engineering ; Engineering Material Properties and Applications ; Material Properties and Failure Mechanisms ; Microstructure and Mechanical Properties of Steels
Authors: Mong Hien Thi Nguyen | Phuong N. Le
Source: EAI Endorsed Transactions on Sustainable Manufacturing and Renewable Energy (article, 2025-08-25)
Field: Materials Science — Polymers and Plastics

Research into the Influence of the Ease Coefficient on the Fit of Torso Dresses This approach offers an alternative method for size selection, one that accounts for the inherent variability in body measurements, thus providing a more tailored and accurate fit for consumers. This study aims to establish a dataset of ease coefficients for torso pattern design across various fabric types and body shapes to ensure proper garment fit. Data were collected from 120 women aged 18–30 in Ho Chi Minh City. Using principal component analysis, K-means clustering, discriminant analysis, and ANOVA via SPSS, participants were classified into four distinct body shape groups. A basic dress pattern was developed based on the average measurements of each group and simulated on different woven fabrics to assess fit and make necessary adjustments. The correlation between body-specific and average-group patterns was analyzed, resulting in a table of ease coefficients for multiple fabric types. Fit evaluations were conducted through 3D simulation and wearer feedback. The study provides ease coefficient data for the bust, waist, and hip areas of Vietnamese women aged 18–30, offering a foundation for the design of dresses and blouses in the fashion industry. Torso ; Computer science ; Engineering ; Anatomy ; Medicine Textile materials and evaluations ; 3D Shape Modeling and Analysis ; Fashion and Cultural Textiles
Authors: Aswarina Nasution | Puji Prastowo | Nurul Huda Panggabean | Ayu Putri Ningsih | Susilawati Amdayani
Source: Digital Repository Universitas Negeri Medan (Universitas Negeri Medan) (article, 2025-11-05)
Field: Chemistry — Inorganic Chemistry

PENDAMPINGAN PENGEMASAN PRODUK VIRGIN COCONUT OIL (VCO) PADA MASYARAKAT DESA TELAGA TUJUH, KABUPATEN DELI SERDANG Kemasan yang menarik tentunya akan mempengaruhi penjualan produk, kemasan produk merupakan suatu hal yang penting dalam industri makanan dan minuman. Kemasan tidak hanya berfungsi sebagai wadah atau tempat, namun juga melindungi produk agar kualitasnya terjaga dan tentunya lebih higienis. Virgin Coconut Oil (VCO) merupakan hasil produksi kelapa menjadi minyak murni berwarna bening, berfungsi untuk Kesehatan seperti menguriangi lemak dan kolestrol, mencegah kanker dan penyakit jantung. Biaya produksi VCO cukup terjangkau dan bahan bakunya mudah diperoleh, Desa Telaga Tujuh Dusun III mayoritas memiliki perkebunan kelapa sehingga produksi VCO tidak terkendala bahan baku, hanya saja produk VCO masih memiliki kemasan yang sederhana dan kurang menarik. Tujuan dilaksanakan kegiatan ini yakni mendampingi para petani dan masyarakat untuk menjaga kualitas VCO salah satunya dengan kemasan yang baik dan higienis. Kegiatan ini diawali dengan kegiatan sosialisasi dan edukasi tentang pengaruh kemasan terhadap kualitas dan daya tarik konsumen terhadap pembelian produk, pendampingan dalam menciptakan ide atau logo produk dan pendampingan terhadap pengemasan yang baik agar kualitas VCO terjaga dan tidak terkontaminasi. Kegiatan ini diharapkan dapat membantu petani kelapa dan masyarakat dalam produksi VCO yang berkualitas dan menambahkan identitas produk pada kemasan sehingga bernilai jual. Coconut oil Coconut Research and Applications ; Agricultural and Environmental Management ; Food and Agricultural Sciences
Authors: Ochuko G. Utu | Arinzechukwu H. Madukasi | Ifeanyichukwu U. Onyenanu | Ephraim C. Joseph
Source: Journal of Sustainable Engineering & Renewable Energy (article, 2025-09-16)
Field: Chemistry — Inorganic Chemistry

Multi-Objective Optimization of a Coconut Dehusking Machine Using Response Surface Method (RSM) Coconut dehusking is a labour-intensive process, necessitating efficient mechanized solutions to enhance productivity and reduce physical strain, this study aimed to optimize a coconut dehusking machine using Design Expert v13.0, a labour-intensive process. A CAD-based model was developed and simulated, and mathematical models were derived using dimensional analysis. The I-Optimal custom design of Response Surface Methodology (RSM) was validated through 22 experimental runs. The results showed strong agreement between the experimental and predicted dehusking efficiencies. The machine achieved a maximum efficiency of 89.5% and a grating capacity of 189 nuts/hr. In comparison, the I-Optimal model predicted an optimal efficiency of 85.7% and a capacity of 179 nuts/hr at 121.014 rpm, spike angle of 57°, and spike length of 12.7 mm. Frame deformation under maximum load was minimal at 0.05289 mm. The RSM-based approach effectively optimized the coconut dehusking machine, supporting the design of efficient, durable dehusking systems for agricultural applications. Response surface methodology ; Frame (networking) ; Minification ; Surface (topology) ; Productivity Coconut Research and Applications ; Agricultural Engineering and Mechanization ; Date Palm Research Studies
Authors: Swantje Plambeck | Ali Salamati | Eyke Huellermeier | Görschwin Fey
Source: ArXiv.org (preprint, 2025-08-20)
Field: Materials Science — Materials Chemistry

Data-Driven Probabilistic Evaluation of Logic Properties with PAC-Confidence on Mealy Machines Cyber-Physical Systems (CPS) are complex systems that require powerful models for tasks like verification, diagnosis, or debugging. Often, suitable models are not available and manual extraction is difficult. Data-driven approaches then provide a solution to, e.g., diagnosis tasks and verification problems based on data collected from the system. In this paper, we consider CPS with a discrete abstraction in the form of a Mealy machine. We propose a data-driven approach to determine the safety probability of the system on a finite horizon of n time steps. The approach is based on the Probably Approximately Correct (PAC) learning paradigm. Thus, we elaborate a connection between discrete logic and probabilistic reachability analysis of systems, especially providing an additional confidence on the determined probability. The learning process follows an active learning paradigm, where new learning data is sampled in a guided way after an initial learning set is collected. We validate the approach with a case study on an automated lane-keeping system. Probabilistic logic ; Abstraction ; Reachability ; Set (abstract data type) ; Process (computing) ; Probably approximately correct learning ; Probabilistic CTL ; Event (particle physics) Machine Learning in Materials Science ; Machine Learning and Algorithms ; Ferroelectric and Negative Capacitance Devices
Authors: Wei-Chuan Lin | Yu-Wen Hsu | Wei Yu
Source:  (article, 2025-09-12)
Field: Materials Science — Polymers and Plastics

Smart Customizable Spinning System As global obesity rates rise, cardiovascular diseases increase, and stress-related issues become more severe. This increases the public awareness of health and exercise. However, existing spinning fitness equipment lacks personalized customization for individual needs. To address this, we developed a smart customizable spinning system that enables health monitoring, central computation, flywheel, voice interaction, notification, and query subsystems. Users can set fitness goals based on their personal needs, monitor workout data via sensors, and utilize voice interaction and control to track their exercise status in real time. The system notifies users of workout progress through a buzzer and message queuing telemetry transport, while the Web interface provides access to past workouts and health records. Additionally, the system supports bilingual functionality (Chinese and English), allowing users to operate it in their preferred language, enhancing global usability. Message queue ; Personalization ; Buzzer ; Interface (matter) ; Set (abstract data type) ; Gateway (web page) ; Control (management) ; Web application Textile materials and evaluations
Authors: Egor Larionov | Igor Santesteban | Hsiao-yu Chen | Gene Wei-Chin Lin | Philipp Herholz | Ryan Goldade | Ladislav Kavan | Doug Roble | Tuur Stuyck
Source: ArXiv.org (preprint, 2025-06-17)
Field: Materials Science — Polymers and Plastics

SkinCells: Sparse Skinning using Voronoi Cells For decades, real-time skinning has been the cornerstone of character animation in visual effects and games. Despite its importance, the creation of animatable digital assets remains a labor-intensive manual process. Existing automated tools frequently struggle with intricate geometries, often necessitating significant manual refinement to reach production standards. We present a robust, fully automated method for generating high-quality skinning weights from a standard mesh and skeleton in a canonical A- or T-pose. Unlike traditional approaches, our framework offers direct sparsity controls to limit bone influences per vertex -- a critical requirement for maintaining performance in large-scale mobile environments. Furthermore, we address the challenge of Level-of-Detail (LoD) management by optimizing weights within a continuous spatial volume rather than on discrete vertices. This allows a single optimization pass to be applied seamlessly across multiple asset resolutions and variations. Central to our approach is a novel parameterized family of functions, we call SkinCells. We demonstrate that our method consistently produces stable, high-quality results even in complex scenarios where standard biharmonic weight computations fail. Skinning ; Parameterized complexity ; Smoothing ; Computation ; Voronoi diagram ; Animation ; Limit (mathematics) ; Character animation ; Polygon mesh Textile materials and evaluations ; Animal Vocal Communication and Behavior
Authors: Vega Aditama | Sri Murni Dewi | Ari Wibowo | Ming Narto Wijaya
Source: Eastern-European Journal of Enterprise Technologies (article, 2025-06-27)
Field: Materials Science — Polymers and Plastics

Identification of optimal bamboo fiber content to enhance impact resistance of reinforced concrete This research focuses on the impact resistance of reinforced concrete enhanced with bamboo fibers, aiming to evaluate the influence of varying bamboo fiber content on impact energy, deflection, and impact force. Reinforced concrete beams were prepared with bamboo fiber contents of 1.25%, 2.5%, and 3.75%, representing a range of low to high volume fractions. The primary objective was to examine how bamboo fiber addition improves the concrete’s mechanical performance under repeated impact loads and to determine the optimal fiber dosage for structural efficiency. The results indicate that the incorporation of bamboo fibers significantly reduces both maximum deflection and peak impact force. Notably, the 1.25% fiber content exhibited the highest increase in the Toughness Modulus (MoT), reflecting superior energy absorption capacity. Conversely, higher fiber contents (2.5% and 3.75%) led to a noticeable decline in MoT values, likely due to poor fiber dispersion and agglomeration effects. Graphical analysis of polynomial regression curves revealed that although bamboo fiber generally enhances energy absorption, each energy parameter exhibits a different trend. Released energy shows a moderately increasing trend with higher fiber content, but with high variability at elevated percentages, indicating inconsistency. Absorbed energy displays minor and inconsistent fluctuations across all fiber contents, suggesting limited fiber influence. In contrast, deformation energy peaked at 1.25% fiber content and declined sharply beyond 2.5%, implying that excessive fiber reduces the material’s deformation ability. These findings confirm that bamboo fibers are a viable, sustainable additive to improve the impact resistance of concrete Bamboo ; Impact resistance ; Fiber ; Identification (biology) ; Resistance (ecology) ; Materials science ; Composite material ; Agronomy ; Botany Natural Fiber Reinforced Composites ; Bamboo properties and applications ; Innovations in Concrete and Construction Materials