jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: A. Ahmad Mohamed Yusof | Ahmad Fairuzabadi Mohd Mansor | Muhammad Khairul Faisal Muhamad Atan | Rosminazuin Ab Rahim | A Razali A Ralib | Anis Nurashikin Nordin
Source: Journal of Food Measurement & Characterization (article, 2026-01-20)
Field: Chemistry — Analytical Chemistry

Portable device for dual impedance and mass measurement in fruit ripening assessment Quality assessment of fruit ripeness is essential for reducing postharvest losses and ensuring consumer satisfaction. Conventional methods for evaluating fruit maturity are often destructive, labour-intensive, and unsuitable for continuous monitoring. This study presents a portable, low-cost dual-sensor device capable of simultaneously measuring electrical impedance and mass to enable non-destructive tracking of fruit ripening. The system integrates an AD5933-based impedance spectroscopy module and a strain-gauge load cell (HX711 amplifier) with an Arduino UNO for real-time data acquisition and storage. Impedance spectroscopy was performed across 4–30 kHz with a 400-mV excitation voltage, while the load cell provided high-resolution weight measurements. Electrical validation using a 1 kΩ–1 µF parallel RC circuit demonstrated good agreement between measured and theoretical impedance and phase responses, and load cell calibration exhibited relative error below approximately 2%. A seven-day proof-of-concept experiment on Musa acuminata bananas demonstrated measurable changes associated with ripening; impedance magnitude at 12 kHz decreased from roughly 6.5 kΩ on Day 0 to 5.5 kΩ by Day 7, accompanied by a progressive phase shift toward more resistive behaviour and a steady reduction in fruit mass due to moisture loss. The combined trends show that the dual-parameter measurements captured ripening-related physiological changes under the tested conditions. These results indicate that the proposed device offers a practical platform for non-destructive fruit quality monitoring and provides a foundation for further development toward broader agricultural applications. Phase angle (astronomy) ; Electrical impedance ; Ripeness ; Resistive touchscreen ; Calibration ; Ripening ; Dielectric spectroscopy ; Load cell Spectroscopy and Chemometric Analyses ; Electrical and Bioimpedance Tomography ; Microwave and Dielectric Measurement Techniques
Authors: Jiake Zhi | Yao Wen | Jiajie Chen | Chuanyang Cai | Shoufeng Yang | Hao Zhu | Ruiqing Cheng | Lei Yin | Shiheng Liang | Jun He
Source: Nature Communications (article, 2026-03-14)
Field: Materials Science — Materials Chemistry

Ferroelectricity-modulated asymmetric van der Waals heterostructure for ultralow-power neuromorphic synapse and logic-in-memory operations Vertical integration of two-dimensional materials holds tremendous potential for integrated sensing, memory, and computing applications, yet it still confronts challenges such as single device functionality, limited in-memory logic capability, and high power consumption. To address these issues, we propose an asymmetric van der Waals integration strategy based on an In₂Se₃/MoOₓ/MoS₂/graphene heterojunction, which integrates five reconfigurable logic gates (AND, OR, NOT, NOR, and NAND), dual-mode photodetection (~10 fA dark current, a high responsivity of 89.3 mA/W and a specific detectivity of 1.4 × 10¹¹Jones), and low-power neurosynaptic functions (7-bit conductance states, subfemtojoule energy consumption) into a single device. By virtue of these characteristics, the device enables high-precision image recognition, simulation of classical Pavlovian conditioning and single-pixel dual-band optical imaging. This work paves a feasible path for the development of multifunctionally integrated sensor-memory-computing devices. Neuromorphic engineering ; Heterojunction ; van der Waals force ; Synapse 2D Materials and Applications ; Advanced Memory and Neural Computing ; Ferroelectric and Negative Capacitance Devices
Authors: Ramesh Ganugapenta | V.V. Anantha Chakravarthy | Ch. Hemadri | Mark Sudarsanam | Matavalam Dorababu
Source: Springer Link (Chiba Institute of Technology) (article, 2026-01-07)
Field: Materials Science — Metals and Alloys

Micro structural and mechanical characterization of SS32750 welded using GTAW and CO Stainless steel 32750 (SS32750) is a duplex stainless steel renowned for its exceptional corrosion resistance and mechanical properties, making it ideal for demanding applications, particularly in harsh environments such as offshore and marine industries. This study examines the microstructure and mechanical properties of SS32750 weldments produced using two distinct welding techniques: Gas Tungsten Arc Welding (GTAW) and Laser Welding. The investigation focuses on the effect of various welding parameters, including heat input, welding speed, and shielding gas composition, on the resulting microstructure. Mechanical properties such as tensile strength, surface roughness, distortion, and weld integrity were evaluated using methods like tensile load testing, X-ray radiography, and wire-cut EDM. The study provides critical insights into the relationship between welding techniques, process parameters, and the resulting performance of SS32750 weldments. Welding ; Gas tungsten arc welding ; Ultimate tensile strength ; Heat-affected zone ; Microstructure ; Gas metal arc welding ; Arc welding ; Corrosion ; Shielding gas Hydrogen embrittlement and corrosion behaviors in metals ; Welding Techniques and Residual Stresses ; Structural Integrity and Reliability Analysis
Authors: Md. Omarsany Bappy | Guoyue Xu | Kaidong Song | qiang jiang | Paribesh Acharyya | Berardo Matalucci | A.L. Gray | Mercouri G Kanatzidis | Tengfei Luo | Yanliang Zhang
Source: Materials Horizons (article, 2026-01-01)
Field: Materials Science — Materials Chemistry

Scalable, low-cost ink-based processing of high-performance silver selenide thermoelectrics The growing global energy demand and its accelerating contribution to climate change emphasize the urgent need for sustainable energy conversion/harvesting technologies. Thermoelectric (TE) devices offer a compelling route to directly convert waste heat into electricity and enable solid-state cooling without moving parts or harmful refrigerants. Achieving their full potential requires not only higher TE performance (<i>zT</i>) but also scalable, low-cost manufacturing processes. Here, we introduce a transformative ink-based processing approach for scalable manufacturing of high-performance silver selenide-based TE materials and devices. Using a simple, high-throughput ink-mixing and blade coating strategy, our Ag<sub>2</sub>Se-based materials under the optimized composition and processing conditions yield an ultrahigh room-temperature power factor of 2.8 mW m<sup>-1</sup> K<sup>-2</sup>, over 100% higher than baseline samples and a reproducible figure of merit <i>zT</i> of 1 at room temperature. A thermoelectric generator (TEG) achieves a very competitive power density of 112 mW cm<sup>-2</sup> at a 90 °C temperature difference between the hot and cold sides of the device, which is among the highest reported for silver selenide-based TE devices to date. This facile, scalable ink-based processing establishes a practical pathway toward industrial-scale manufacturing and widespread adoption of thermoelectric devices, advancing sustainable energy technologies. Thermoelectric materials ; Thermoelectric effect ; Sustainable energy ; Thermal management of electronic devices and systems ; Selenide ; Energy (signal processing) ; Thermoelectric cooling Advanced Thermoelectric Materials and Devices ; Nanomaterials and Printing Technologies ; Chalcogenide Semiconductor Thin Films
Authors: Thomas Boele | Stephen McBride | Megan Pike | Erica Curran | Patrick TomHon | Hester Braaksma | Sheng Shen | Néha Koonjoo | David E. Korenchan | Eduard Chekmenev | Thomas Theis | David E. J. Waddington | Matthew S. Rosen
Source: Communications Chemistry (article, 2026-03-18)
Field: Chemistry — Spectroscopy

Ultra-low field 13C MRI of hyperpolarized pyruvate Medicine is evolving beyond therapy largely predicated on anatomical information and towards incorporating patient-specific molecular biomarkers of disease for more accurate diagnosis and effective treatment. The complementary combination of hyperpolarization by spin-lock induced crossing signal amplification by reversible exchange (SLIC SABRE) and low field magnetic resonance imaging (MRI) can enable accessible metabolic imaging to advance personalized medicine. Hyperpolarized <sup>13</sup>C-enriched pyruvate has demonstrated promise for imaging metabolism in cancer, heart disease and neurodegenerative disorders; however, broader clinical adoption awaits validated clinical indications, and is further constrained by the cost and limited availability of current hyperpolarization technology. Parahydrogen-based polarization techniques, paired with low-cost high-performance MRI at millitesla fields, offer a means of broadening the reach of metabolic imaging. Here we show results demonstrating in situ hyperpolarization of pyruvate at 6.5 mT by SLIC SABRE, followed by immediate readout without field cycling or sample shuttling. We achieve <sup>13</sup>C signal enhancements several million times above thermal equilibrium at 6.5 mT, corresponding to polarization levels of approximately 3%. Leveraging this enhancement, we perform <sup>13</sup>C MRI and acquire NMR spectra with resolution sufficient to distinguish chemical shifts between pyruvate isotopomers. These results show a viable pathway towards accessible metabolic imaging with hyperpolarized <sup>13</sup>C MRI at ultra-low field. Hyperpolarization (physics) ; Magnetic resonance imaging ; Polarization (electrochemistry) ; Magnetic resonance spectroscopic imaging ; Nuclear magnetic resonance spectroscopy ; Induced polarization Advanced NMR Techniques and Applications ; Atomic and Subatomic Physics Research ; Advanced MRI Techniques and Applications
Authors: Nur Athirah Syafiqah Noramli | Noor Aida Syakira Ahmad Sabri | Muhammad Ikhsan Roslan | Nurlaila Ismail | Zakiah Mohd Yusoff | Mohd Nasir Taib
Source: Bulletin of Electrical Engineering and Informatics (article, 2026-02-01)
Field: Chemistry — Organic Chemistry

Data-driven modelling of Aquilaria essential oils via dual GC profiling and multicollinearity diagnostics Aquilaria-derived essential oils are chemically diverse and hold significant value in pharmaceuticals, fragrances, and traditional medicine. However, the complexity of their chemical composition presents challenges in statistical modelling, particularly due to multicollinearity among biosynthetically related compounds. This study investigates the extent of multicollinearity in Aquilaria essential oil data using multiple linear regression (MLR) and variance inflation factor (VIF) analysis. A regression model was constructed using three compounds, ? -guaiene, 10-epi ? -eudesmol, and ? -eudesmol, across 360 samples, with VIF and collinearity diagnostics applied to assess model validity. The model explained 93% of the variance in species classification, which is substantially higher than values typically reported in earlier chemometric studies of Aquilaria oils. This demonstrates that even a limited number of carefully selected compounds, when supported by diagnostic safeguards, can achieve strong classification accuracy. These findings emphasize the importance of applying multicollinearity diagnostics to improve the interpretability and reliability of chemometric analyses. The study contributes a robust analytical framework for future research and practical applications in species authentication, essential oil quality control, and conservation of Aquilaria resources. Multicollinearity ; Variance inflation factor ; Interpretability ; Collinearity ; Chemometrics ; Linear regression ; Partial least squares regression Wood and Agarwood Research ; Ginger and Zingiberaceae research ; Advanced Chemical Sensor Technologies
Authors: Ben X. Wang | Ziwen Cheng | Chaoyin She | Jiahui Zhang | Lin Lv | Hongwen Zhu | Lizhuang Liu | Yan Fu | Xinpei Yi
Source: bioRxiv (Cold Spring Harbor Laboratory) (article, 2026-03-10)
Field: Chemistry — Spectroscopy

PhosSight: a Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries Abstract Protein phosphorylation is a key regulator of signaling, with mass spectrometry (MS) based phosphoproteomics serving as the premier technology for its analysis. However, phosphorylation profiling is hindered by acquisition biases: Data-Dependent Acquisition (DDA) suffers from stochastic undersampling and missing values, while Data-Independent Acquisition (DIA) faces computational bottlenecks and inefficiencies from vast spectral libraries. We present PhosSight, a unified deep learning framework designed to augment identification depth and accelerate search efficiency. PhosSight features PhosDetect, a model that explicitly encodes phosphorylation specific physicochemical features to accurately predict peptide detectability. For DDA, PhosSight leverages predicted retention time, fragment intensity, and detectability to refine site localization and rescoring, recovering marginal, low-abundance spectra. For DIA, PhosSight utilizes detectability-guided library pruning to remove non-detectable noise, accelerating search speeds without compromising sensitivity. Benchmarking on synthetic and real world datasets confirms PhosSight’s superior performance in both modes. Applying PhosSight to a large-scale Uterine Corpus Endometrial Carcinoma (UCEC) cohort significantly reduced missing values and expanded the quantifiable phosphoproteome. This enhanced completeness enabled the discovery of novel prognosis associated kinase targets, such as MARK2, underscoring PhosSight as a powerful tool for biological discovery in precision oncology. Boosting (machine learning) ; Phosphoproteomics ; Deep learning ; Profiling (computer programming) ; Missing data ; Identification (biology) ; Annotation ; Undersampling Advanced Proteomics Techniques and Applications ; Cell Image Analysis Techniques ; Single-cell and spatial transcriptomics
Authors: Lili Jin | Hai Wu | Xinliang Zhang
Source: Metals (article, 2026-03-18)
Field: Materials Science — Materials Chemistry

Simulation of Large-Strain Tensile Necking in Single-Crystal Copper Specimens The mechanical behavior, the necking process and the geometry of the neck in rectangular cross-section single-crystal copper specimens under macroscopic uniaxial large-strain tensile conditions were numerically simulated and analyzed using the classical Chaboche combined hardening model and the crystal plasticity constitutive model including the effect of back stress. The simulation results show that, although the classical Chaboche model can simulate the load–displacement curve during the tensile process, it cannot simulate the geometric shape change in the cross-section of the single-crystal copper specimen during the necking process. However, simulation using the crystal plasticity model can not only accurately simulate the macroscopic load–displacement mechanical curves of specimens with different crystal orientations (considering eight off-axis states) but also successfully displays the complex necking morphologies, consistent with experimental observations in the literature for various orientations. The research indicates that the classical Chaboche model lacks the ability to describe the deformation characteristics of single-crystal copper specimens; meanwhile, the crystal plasticity model has a significant advantage in simulating the necking process and characteristics of single-crystal materials under slip mechanisms and can effectively capture the differences in necking morphology caused by the crystal orientation, revealing, to a certain extent, the plastic deformation mechanism in single-crystal metallic materials. Necking ; Ultimate tensile strength ; Plasticity ; Copper ; Crystal plasticity ; Deformation (meteorology) ; Slip (aerodynamics) ; Crystal (programming language) Microstructure and mechanical properties ; Metal Forming Simulation Techniques ; High-Velocity Impact and Material Behavior
Authors: Luca C. Greiner | Freddy A. Bernal | Sasikala Thavam | Maite Brachthäuser | Sonja Sievers | Slava Ziegler | Herbert Waldmann
Source: ChemMedChem (article, 2026-02-12)
Field: Chemistry — Organic Chemistry

Design, Synthesis, and Biological Evaluation of Pseudo‐Natural Products Inspired by Aryloctahydroindole Alkaloids We report the design, synthesis, and biological characterization of a pseudo-NP (PNP) collection inspired by the mesembrine alkaloid scaffold. A scalable, microwave-assisted intramolecular Diels-Alder furan cyclization enabled efficient access to the 3a-aryloctahydroindole (AOHI) core, which served as a versatile intermediate for diversification through NP-fragment fusion. The resulting AOHI-based PNPs explore chemical space bridging properties of NPs and drug-like molecules. Morphological and bioenergetic profiling revealed distinct mitochondrial phenotypes, including altered morphological features and respiration consistent with complex I perturbation. These findings highlight the AOHI scaffold as a versatile and synthetically accessible alkaloid-derived fragment for PNP design and as a valuable source for novel biologically active compound classes. Chemical space ; Intramolecular force ; Scaffold ; Biological activity ; Alkaloid ; Drug discovery Advanced Synthetic Organic Chemistry ; Chemical synthesis and alkaloids ; Berberine and alkaloids research
Authors: Qianqian Ding | Xueyan Chen | Yunlu Jia | Hong Liu | Xiaochen Zhang | Ningtao Cheng | Shikuan Yang
Source: Opto-Electronic Advances (article, 2026-01-01)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Timeshare surface-enhanced Raman scattering platform with sensitive and quantitative mode The sensitivity and quantification capability of surface-enhanced Raman scattering (SERS) substrates are mutually exclusive, because the ultrasensitive SERS sites (hottest spots) necessary for the sensitivity will significantly magnify the SERS signals of the analyte molecules and thus each of these molecules will be miscounted to be hundreds during the quantification process. We demonstrate a concept to circumvent the above contradiction by engineering a timeshare SERS platform capable of working at the quantitative or the sensitive mode on demand. The timeshare SERS platform was constructed by transferring a monolayer gold nanosphere film onto elastic substrates (e.g., hydrogel). The volume change of the hydrogel could adjust the inter-nanosphere distance, dynamically controlling the formation or extinction of the SERS hottest spots on the same SERS substrate without influencing the spatial distribution of the analyte molecules. The timeshare SERS platform without the SERS hottest spots showed strong quantification capability, while when equipped with a substantial number of the SERS hottest spots exhibited ultrahigh sensitivity. We demonstrated quantitative and ultrasensitive detection of various analyte molecules using the quantitative and the sensitive mode of the timeshare SERS platform, respectively. We opened an avenue towards designing SERS substrates with both high sensitivity and strong quantification capability. Analyte ; Raman scattering ; Substrate (aquarium) ; Monolayer ; Sensitivity (control systems) ; Raman spectroscopy Gold and Silver Nanoparticles Synthesis and Applications ; Innovative Microfluidic and Catalytic Techniques Innovation ; Spectroscopy Techniques in Biomedical and Chemical Research
Authors: Poonkodi Sathiyamoorthy
Source: Journal on Materials and its Characterization (article, 2026-03-24)
Field: Materials Science — Polymers and Plastics

Assessing Natural Fibers: A MCDM Methodological Approach to Sustainable Resource Evaluation Scientists are actively exploring eco-friendly options to synthetic fibers because of their persistent pollution problems. Natural fibers, derived from plants and animals like bamboo, hemp, jute, and oil palm, are emerging as viable replacements for synthetics in making biodegradable, lightweight composites with enhanced mechanical characteristics. Chemical modifications have the potential to improve these properties, and treatments can change the structure of fibers to enhance mechanical interlocking. This review explores the characteristics of these natural fibers and their possible uses to promote sustainability and economic viability. The environmentally friendly qualities, cost-effectiveness, superior life cycle, and lightweight attributes are propelling the adoption of natural fibers in cement-based composites. A research study utilizes experimental and finite element analysis to create a sustainable cementitious composite reinforced with natural fibers. The choice of materials is critical to avoid premature failures and associated losses. In this study, the WASPAS method is applied to choose the most suitable natural fiber for durable composites from a selection of eight options based on six criteria. The results indicate that Basalt is the preferred choice, followed by flax and cotton. Sustainability ; Multiple-criteria decision analysis ; Natural (archaeology) ; Natural resource ; Environmentally friendly ; Natural fiber ; Environmental pollution ; Resource (disambiguation) ; Sustainable development Natural Fiber Reinforced Composites ; Bamboo properties and applications ; Hygrothermal properties of building materials
Authors: Sandeep Kumar | Munkhshur Myekhlai | Subin Lim | Hyunchul Oh
Source: Sustainable Energy & Fuels (article, 2026-01-01)
Field: Materials Science — Materials Chemistry

Understanding factors affecting storage capacity and reproducibility in realistic ambient-temperature hydrogen physisorption Porous materials show high H 2 uptake via physisorption at cryogenic temperatures, while ambient storage remains limited. To get reliable storage capacity, H 2 reproducibility, and standardized measurements are critical for realistic performance. Physisorption ; Reproducibility ; Hydrogen storage ; Hydrogen ; Porosity Covalent Organic Framework Applications ; Metal-Organic Frameworks: Synthesis and Applications ; Aerogels and thermal insulation
Authors: Amrita Shaw | C. Narayana | Sai Muthukumar V | Deepak L N Kallepalli | Bhanu Prakash Rachaiah | Jhinuk Gupta
Source: Research Square (preprint, 2026-02-24)
Field: Chemistry — Organic Chemistry

Raman-Chemometric Framework for Rapid Authentication of Edible Oils in Processed Foods Using a Validated One Step Sampling Technique Authentication (law) ; Multivariate statistics ; Edible oil ; Food processing ; Food quality ; Principal component analysis ; Repeatability ; Probabilistic logic ; Pattern recognition (psychology) Edible Oils Quality and Analysis ; Nuts composition and effects ; Potato Plant Research
Authors: Jéssica Silva Reis | Marcos Henrique André Deus | Carlos Melo Silva-Neto | Everton Tizo-Pedroso
Source: Research Square (preprint, 2026-02-18)
Field: Chemistry — Organic Chemistry

Overcoming Structural and Environmental Challenges in Identifying Brazilian Savanna Tree Species Using Deep Learning Biodiversity ; Deep learning ; Tree (set theory) ; Bark (sound) ; Identification (biology) ; Convolutional neural network ; Taxon Wood and Agarwood Research ; Species Distribution and Climate Change ; Remote Sensing and LiDAR Applications