jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Christian Hinte | Pia Michelle Müller | Oluwaseyi Oluwabi | Jan Frenzel | Sebastian Herbst | Hans Jürgen Maier
Source: Shape Memory and Superelasticity (article, 2026-03-16)
Field: Materials Science — Materials Chemistry

Advancements in High Entropy Shape Memory Alloys: Thermo-mechanical Processing of Ti16.6Zr16.6Hf16.6Co10Ni20Cu20 Abstract High entropy shape memory alloys (HE-SMAs) combine unique high entropy-based properties with the functional advantages of shape memory alloys. Specifically, they feature enhanced strength, adjustable transition temperatures, high recoverable stresses and thermal stability. However, common challenges in multicomponent alloy design such as segregation and secondary phases hinder their functionality. The effectiveness of conventional heat treatments in overcoming these challenges is often limited, resulting in sub-optimal performance of promising alloy systems. This study investigates the benefits of thermo-mechanical processing (TMP) as a strategy to control the homogeneity and microstructure of HE-SMAs and thereby increasing their functionality. It focusses on the NiTi-related alloy Ti 16.6 Zr 16.6 Hf 16.6 Co 10 Ni 20 Cu 20 , evaluating the effects of TMP on its microstructural evolution and mechanical performance with the goal to establish reliable functionality. By employing TMP via hot-extrusion, significant improvements in microstructural homogeneity and both mechanical and functional properties were achieved. The effects of TMP included enhanced structural integrity after forming, a 25% increase in ultimate compressive stress, a 20% increase in transformation energy and a significantly improved functional fatigue resistance compared to solely heat-treated states. These findings underscore the critical importance of controlled TMP in overcoming existing limitations and positioning HE-SMAs as next-generation, high-performance materials. Graphical Abstract Shape-memory alloy ; Homogeneity (statistics) ; High entropy alloys ; Alloy ; Microstructure ; High energy ; Entropy (arrow of time) Shape Memory Alloy Transformations ; High Entropy Alloys Studies ; Metallic Glasses and Amorphous Alloys
Authors: Yao Lu | Jingbo Xu | Songbiao Xue | Xiaodi Zhou | Hongbo Zhang
Source: Scientific Reports (article, 2026-01-06)
Field: Materials Science — Biomaterials

A comparative study of the structural-mechanical and porosity characteristics of multi-structure vascular scaffolds The geometry of vascular scaffolds is a critical determinant of their clinical performance. However, the decoupled control over structural parameters (e.g., pore size, pore shape, and metal coverage) by different manufacturing processes (e.g., knitting, weaving, and stamping) and their systematic effects on mechanical properties remain unclear. This study aims to systematically compare multi-structured scaffolds fabricated by three distinct processes within a unified testing framework, revealing the intrinsic "process-structure-property" relationship. We designed and fabricated three series, totaling eight types, of tubular scaffolds from 316 L stainless steel: the S1 series (weft-knitted integrally formed), the S2 series (woven and rolled, with four mesh gradients: 30, 60, 90, and 120 mesh), and the S3 series (stamped and rolled, with three stamping-stretching ratios). Image analysis was employed to quantitatively characterize the pore area, pore shape (aspect ratio, circularity), and metal coverage of all scaffolds. Subsequently, their axial compression, axial tension, and radial support properties were systematically evaluated using an electronic universal testing machine. The results demonstrate that the different manufacturing processes successfully created a scaffold library with highly diverse structural parameters. he pore area spanned a wide range (from 0.22 mm² to 5.10 mm²). The S3 series (stamped structures) exhibited significantly anisotropic rhombic pores (aspect ratio 1.47-1.69), whereas the S1/S2 series featured near-isotropic elliptical/square pores (aspect ratio < 1.1). A core finding was the lack of a direct correlation between pore size and metal coverage across the series, confirming that structural parameters can be decoupled through different processes. Mechanical testing revealed that the S3 series exhibited the highest radial support force (peak force > 130 N), axial tensile strength (peak force up to 2447.75 N), and Apparent Compressive Stiffness (up to 135.36 N/mm). Conversely, the S1 (weft-knitted structure) showed the lowest stiffness and highest compliance (Apparent Compressive Stiffness 1.91 N/mm). The mechanical properties of the S2 (woven structures) were intermediate and varied systematically with increasing mesh count. Porosity ; Series (stratigraphy) ; Anisotropy ; Integrally closed ; Scaffold ; Core (optical fiber) Electrospun Nanofibers in Biomedical Applications ; Coronary Interventions and Diagnostics ; Bone Tissue Engineering Materials
Authors: Nicholas Yama | Chun-Chi Wu | Fariba Hatami | Kai-Mei C. Fu
Source: ArXiv.org (article, 2026-01-08)
Field: Materials Science — Materials Chemistry

A scalable gallium-phosphide-on-diamond spin-photon interface The efficient interfacing of quantum emitters and photons is fundamental to quantum networking. Quantum defects embedded in integrated nanophotonic circuits are promising for such applications due to the deterministic light-matter interactions of high-cooperativity ($C>1$) cavity quantum electrodynamics and potential for scalable integration with active photonic processing. Silicon-vacancy (SiV) centers embedded in diamond nanophotonic cavities are a leading approach due to their excellent optical and spin coherence, however their long-term scalability is limited by the diamond itself, as its suspended geometry and weak nonlinearity necessitates coupling to a second processing chip. Here we realize the first high-cooperativity coupling of quantum defects to hybrid-integrated nanophotonics in a scalable, planar platform. We integrate more than 600 gallium phosphide (GaP) nanophotonic cavities on a diamond substrate with near-surface SiV centers. We examine a particular device with two strongly coupled SiV centers in detail, confirming above-unity cooperativity via multiple independent measurements. Application of an external magnetic field via a permanent magnet enables optical resolution of the SiV spin transitions from which we determine a spin-relaxation time $T_1>0.4$ ms at 4 K. We utilize the high cooperativity coupling to observe spin-dependent transmission switching and the quantum jumps of the SiV spin via single-shot readout. These results, coupled with GaP's strong nonlinear properties, establish GaP-on-diamond as a scalable planar platform for quantum network applications. Nanophotonics ; Photonics ; Quantum network ; Photon ; Coupling (piping) ; Quantum computer ; Quantum information ; Quantum ; Coherence (philosophical gambling strategy) Diamond and Carbon-based Materials Research ; Mechanical and Optical Resonators ; Quantum Information and Cryptography
Authors: Kyriaki Kiskira | Sofia Plakantonaki | Dimitrios Nikolopoulos | Emmanouela Sfyroera | Nikitas Gerolimos | Georgios Priniotakis | Georgios Zakynthinos
Source: Preprints.org (preprint, 2026-01-27)
Field: Materials Science — Polymers and Plastics

Valorization of Fruit and Nut Agricultural Residues for Sustainable Biomaterials and Biotextiles: A Strategic Opportunity for Greece The growing environmental impacts associated with conventional plastics and textiles have intensified interest in bio-based and circular material alternatives. This study examines the feasibility of valorizing fruit and nut agricultural residues as sustainable feedstocks for biomaterials and biotextiles, with a strategic focus on Greece. Drawing on an extensive review of international literature, regional agricultural production data, and validated processing technologies, the work evaluates residue availability, conversion routes, environmental performance, and economic potential. Methods include analysis of mechanical, chemical, and biological preprocessing techniques; polymer and fiber isolation pathways; fabrication routes for fibers, films, and composites; and comparative life cycle assessment (LCA) evidence. Results indicate that residues such as grape pomace, olive by-products, citrus peels, and nut shells are technically suitable for cellulose-, lignin-, and pectin-based materials, offering substantially lower water use, greenhouse gas emissions, and land-use intensity than conventional cotton and synthetic textiles. The analysis further highlights emerging opportunities for multifunctional textiles, improved end-of-life performance, and decentralized biofabrication models. The study concludes that Greece can position itself as a regional circular bioeconomy hub by developing integrated residue-to-biomaterial value chains, provided that coordinated policy support, research investment, standards development, and stakeholder engagement are implemented. Agriculture ; Sustainability ; Life-cycle assessment ; Nut ; Work (physics) ; Biofabrication ; Sustainable agriculture ; Circular economy Natural Fiber Reinforced Composites ; Bioeconomy and Sustainability Development ; Agriculture Sustainability and Environmental Impact
Authors: Quanzhen Huang | Jinxing Wei | Jiale Cheng | Mingdong Zhu | Wei Nie | Xingping Wang | Mai Hu | Zhenyu XU | Ruifeng KAN | Wenqing Liu
Source: Photonics (article, 2026-02-26)
Field: Chemistry — Analytical Chemistry

Non-Destructive Assessment of Rice Seed Vigor and Extraction of Characteristic Spectra Based on Near-Infrared Spectroscopy Rice seed vigor is one of the critical factors determining rice yield and quality. Identifying substances related to seed vigor and rapidly assessing seed vigor by non-destructive methods are of great significance for increasing rice production. This study employed near-infrared diffuse reflectance spectroscopy (NIR-DRS) and transmission spectroscopy (NIR-TS) to evaluate the vigor of naturally aged rice seeds. The NIR-DRS failed to establish a reliable relationship between spectral data and seed vigor, proving ineffective in distinguishing seed vigor. After enhancing the spectral differences between viable and non-viable seeds, the NIR-TS successfully identified high-vigor and non-viable seeds, with a partial least squares discriminant analysis (PLS-DA) model achieving accuracy and germination rates of 84.52% and 88.57% on the test set, respectively. Furthermore, three algorithms, including interval partial least squares (iPLS), genetic algorithm (GA), and competitive adaptive reweighted sampling (CARS), were applied to extract characteristic spectral wavelengths associated with seed vigor. Among these, the CARS algorithm performed the best, identifying 38 characteristic wavelengths. Wavelength analysis indicated that rice seed vigor is primarily influenced by molecules such as starch, protein, moisture, and lipids. Using the characteristic wavelengths selected by the CARS algorithm, a PLS-DA prediction model for rice seed vigor was constructed, achieving high accuracy and germination rates of 90.47% and 95.38% on the test set, respectively. This study demonstrates that NIR-TS outperforms NIR-DRS in assessing rice seed vigor. Moreover, wavelength selection techniques can effectively identify characteristic spectral features related to seed vigor and significantly enhance the prediction accuracy of the model. Germination ; Partial least squares regression ; Linear discriminant analysis ; Sampling (signal processing) ; Wavelength ; Extraction (chemistry) ; Spectroscopy Spectroscopy and Chemometric Analyses ; Soil Geostatistics and Mapping ; Remote Sensing in Agriculture
Authors: Ling Qin | Kang Xiang | Iakovos Tzanakis | Dmitry Eskin | Samuel J. Clark | Kamel Fezzaa | Jiawei Mi
Source: ArXiv.org (article, 2026-01-20)
Field: Materials Science — Materials Chemistry

Revealing mesoscale bubble and particle dynamics in ultrasound-driven multiphase fluids by ultrafast synchrotron X-ray radiography and hybrid modelling Multiphase fluid flows comprising of mesoscale solid particles, liquid droplets, or gas bubbles are common in both natural and man-made systems, but quantifying the energy transfer is challenging due to complex bubble-particle interactions. In this study, we used ultrafast synchrotron X-ray imaging to study the mesoscale dynamic interactions among ultrasonic cavitation bubbles and hydrophobic particles or clusters. Critical dynamic information and data were extracted from the vast amount of X-ray images and then fed into the hybrid analytical-numerical model for calculating the energy transfer from the oscillating bubble and the imploding bubble to the nearby hydrophobic particles. Using the Ni spherical microparticles as an example, at bubble oscillation approximately 16% (80-320 nJ) of the local energy was transferred to the particle. At bubble implosion, the transferred energy increased approximately 26% (0.135-1.09 uJ). Local energy transfer occurred on timescales of 1 us to 1 ms and length scales of 1 um to 1 mm. Within each ultrasound cycle, kinetic and potential energy underwent complex exchanges, with local energy exhibiting a stepwise decay at the end of each cycle. The transferred energy was mainly consumed for enabling highly efficient particle dispersion. This research provides quantitative insights into optimizing hydrophobic nanomaterial dispersion and has broader implications for interfacial energy transfer processes such as making suspensions, composite materials and exfoliated 2D materials. Bubble ; Synchrotron ; Mesoscale meteorology ; Particle (ecology) ; Dispersion (optics) ; Oscillation (cell signaling) ; Cavitation ; Kinetic energy ; Ultrashort pulse Ultrasound and Cavitation Phenomena ; Ultrasound and Hyperthermia Applications ; Pickering emulsions and particle stabilization
Authors: A. Zeleckytė | A. Merkys | A. Vaitkus | S. Gražulis
Source: Acta Crystallographica Section A Foundations and Advances (article, 2026-03-30)
Field: Materials Science — Materials Chemistry

Raw data and external links in the Crystallography Open Database Raw data ; Data format ; Data structure ; Key (lock) X-ray Diffraction in Crystallography ; History and advancements in chemistry ; Enzyme Structure and Function
Authors: Kristin Thoney-Barletta | Keysi Barrios | Rishika Vontela | Yu Chen | Rong Yin | Kavita Mathur | Minyoung Suh
Source: Eng—Advances in Engineering (article, 2026-02-03)
Field: Materials Science — Polymers and Plastics

Conductive Yarn Properties and Predicting Machine Sewability The objective of this research is to enable the engineered manufacturing of sewn and embroidered e-textiles. It is achieved by conducting sewability assessments of commercially available conductive yarns and providing optimal sewing parameters to ensure electrical performance and mechanical suitability. Our approach includes yarn sampling, measurements, sewing experiments, statistical modeling, and performance tests of sewn sensors. We have scrutinized a range of conductive yarns with different formation mechanisms and electrical conductivities. Highly conductive, flexible, and fine count yarns are of particular interest in this proposed research. The physical properties of selected conductive yarns have been characterized and sewing experiments have been followed to evaluate the machine sewability of these conductive yarns under diverse sewing conditions. Using multiple logistic regressions and machine learning, these empirical observations are generalized and sewability models are established. Yarn ; Electrical conductor ; Electrically conductive ; Range (aeronautics) Textile materials and evaluations ; Advanced Sensor and Energy Harvesting Materials ; Thermoregulation and physiological responses
Authors: Anke B. G. M. Ten Berge | Robin Temmink | Maud Kuppen | Maaike B. van Slagmaat | Sven Kamphuis | Richard A. J. Groeneveld | A. Luiken | Jens Oelerich | J. Mahy
Source: Scientific Reports (article, 2026-02-13)
Field: Materials Science — Polymers and Plastics

An analytical toolbox to verify the presence, quantity and origin of recycled cotton fibres in textile garments The textile industry is one of the most polluting industries. To reduce its environmental impact, the entire supply chain must transition from a linear to a circular economy, making textile recycling at end-of-life critical. Stimulated by new regulations, the industry is increasingly incorporating recycled – mainly mechanically – cotton fibres into new garments. However, producing garments with recycled fibres is costlier than using virgin fibres. Currently, there is no independent way to assess the quantity of mechanically recycled cotton claimed by producers. As a result, “greenwashing” is frequently encountered. In this study, an analytical toolbox was developed to enable independent verification of the claimed mechanically recycled cotton content in garments. For the toolbox three analysis methods were developed. Microscopy can be used to qualitatively confirm the presence of mechanically recycled cotton fibres. Measuring the fibre length distribution allows the amount of recycled fibres to be determined semi-quantitatively. Degree of polymerisation (DP) measurements can be used to distinguish the pre- and/or post-consumer origin of the recycled fibres. Once further enriched and developed into a standard, the toolbox will be an asset in reducing greenwashing and boosting the use of recycled fibres. Toolbox ; Textile ; Textile industry ; Clothing ; Supply chain ; Raw material ; Air permeability specific surface Textile materials and evaluations ; Dyeing and Modifying Textile Fibers ; Research in Cotton Cultivation
Authors: Yipeng Qiu | Tao Tang | Jiacheng Guo | Yan Zeng | Zihao Li | Qiaoyi Zhou | Dongxia Liang | Caijin Ling
Source: Foods (article, 2026-02-03)
Field: Chemistry — Analytical Chemistry

Prediction of Quality Substance Content of Hakka Stir-Fried Green Tea Based on Multiple Features of Near-Infrared Spectroscopy The contents of biochemical components, such as theanine, tea polyphenols, water extract, and soluble sugar in Hakka stir-fried green tea (HSGT), serve as important indicators reflecting the intrinsic quality of tea leaves. In this study, 171 HSGT samples are collected, and their near-infrared spectroscopy (NIRS), together with the contents of the four indicators, are determined. The aim is to establish prediction models for these four indicators by extracting multiple features from the NIRS data. First, the NIRS data is preprocessed. Then, multiple features are extracted using competitive adaptive reweighted sampling (CARS), adaptive Fourier decomposition (AFD), fast Fourier transform (FFT), continuous wavelet transform (CWT), and band combination (BC). Finally, ridge regression (RR) and partial least squares regression (PLSR) models are constructed based on the NIRS features to predict the four indicators. Experimental results show that the model combining multiple features, namely CARS + AFD + BC, delivers the best overall performance. Specifically, the RR model based on multiple features provides the most accurate predictions for theanine, tea polyphenols, and soluble sugar, while the PLSR model performs better for water extract. This study provides a rapid and accurate method for detecting the substance content in HSGT. Partial least squares regression ; Green tea ; Regression ; Pattern recognition (psychology) ; Regression analysis ; Black tea ; Principal component analysis ; Fourier transform ; Sampling (signal processing) Spectroscopy and Chemometric Analyses ; Tea Polyphenols and Effects ; Traditional Chinese Medicine Analysis
Authors: Kripa S | Jeyalakshmi V | Arunagiri R
Source: Research Square (preprint, 2026-03-10)
Field: Chemistry — Analytical Chemistry

Leakage-safe and repeat-stable reduced-band selection for VIS–NIR spectral regression with stability-gated explainability: mango TSS Hyperspectral imaging ; Pattern recognition (psychology) ; Preprocessor ; Selection (genetic algorithm) ; Mean squared error ; Hyperparameter ; Regression Spectroscopy and Chemometric Analyses ; Smart Agriculture and AI ; Remote Sensing in Agriculture
Authors: Chao Zhao | Min Jia | Rong Lu | Yifan Ma | Ganlu Fan | Qing Guo | Yanhong Tian | Yu Sun
Source: Advanced Physics Research (article, 2026-02-22)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Software‐Defined Terahertz Beam Manipulation via Active Light‐Controlled Frequency Coding Information Metasurface ABSTRACT The revolutionary breakthrough of information metasurfaces lies in their deep integration of physical and information spaces, enabling simultaneous electromagnetic wave manipulation and digital information processing. However, most research focuses solely on temporal and spatial dimensions, facing challenges including underutilized spectral resources, complex electrical control systems, and difficulties in extending operations to terahertz and optical bands. To overcome these limitations, we propose an active light‐controlled frequency coding metasurface that breaks through existing constraints in frequency‐domain freedom manipulation. We develop a multifunctional terahertz active frequency coding unit dynamically reconfigured by spatially encoded structured light, which modulates the conductivity of photosensitive semiconductors on the metasurface through structural light encoding. This enables programmable control over the phase‐frequency sensitivity of individual units, achieving dynamic reconfiguration of frequency coding functionalities. Furthermore, we introduce a software‐defined terahertz beam control system for information metasurface applications. Its three‐tier “Decision‐Optimization‐Execution” architecture establishes a closed‐loop workflow from user intent to physical response. The hardware layer synergistically integrates frequency coding metasurfaces with spatially encoded structured light, providing robust physical support for complex beam manipulation demands and demonstrating innovative hardware–software co‐design. This work opens new avenues for intelligent beamforming in the terahertz regime and spectral efficiency optimization for 6G communications. Terahertz radiation ; Control reconfiguration ; Coding (social sciences) ; Workflow ; Beamforming ; Coherent control ; Beam (structure) Metamaterials and Metasurfaces Applications ; Advanced Wireless Communication Technologies ; Plasmonic and Surface Plasmon Research