jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Di Wang | Qian Huang | Chao Liu | Yi Zheng | Yu-Cheng Lin | Fan‐Chuan Lin | Yi-Long Li | Xin‐Ru Zheng | Yi‐Wei Zheng | Xin Xie | Kun Song | Shaowei Wang | Wei Lü | Ruonan Ji | Baohua Jia | Qiong‐Hua Wang
Source: Nature Communications (article, 2025-11-28)
Field: Materials Science — Electronic, Optical and Magnetic Materials

A 0.18 cubic centimeter 3D meta-holographic zoom micro-projector Meta-holography has become a frontier hot spot of photonics, thanks to the rapid advancement of nanofabrication. Tunable meta-holography significantly enhances information capacity and meets the growing demands of adaptive imaging, offering tremendous application prospects in fields such as optical storage, augmented and virtual realities, and biology. However, the existing meta-holography predominantly relies on 2D projection, with a small and non-adjustable image size. Here, we propose a 3D meta-holographic zoom micro-projector by integrating a high-resolution metasurface with a tailored liquid lens, and the size of the demonstrated micro-projector is only 0.18 cm<sup>3</sup>. A 3D Fourier meta-hologram generation method is proposed, which overcomes the limitation of the traditional Fourier meta-hologram in realizing 3D projection. By proposing a small-sized zoom liquid lens, the projector achieves 3D zoom projection, with the size and projection distance of the meta-holographic image extending to the decimeter scale, a feat unattainable by previous meta-holographic projection. This flexible and miniaturized 3D fingertip zoom micro-projector is anticipated to have broad applications in portable and wearable devices as well as biomedical apparatus. Zoom ; Projector ; Augmented reality ; Projection (relational algebra) ; Wearable computer ; Fourier transform Metamaterials and Metasurfaces Applications ; Advanced Optical Imaging Technologies ; Photorefractive and Nonlinear Optics
Authors: Matheus Fernandes Sousa Lemes | A. C. S. Pimenta | G. Lozano C. | Marcelo A. Pereira‐da‐Silva | Alessandra Ames | M. D. Teodoro | Guilherme Migliato Marega | Riccardo Chiesa | Z. Wang | András Kis | E. Marega
Source: ACS Nano (article, 2025-01-10)
Field: Materials Science — Materials Chemistry

Polarization-Dependent Plasmon-Induced Doping and Strain Effects in MoS<sub>2</sub> Monolayers on Gold Nanostructures Monolayers of transition-metal dichalcogenides, such as MoS<sub>2</sub>, have attracted significant attention for their exceptional electronic and optical properties, positioning them as ideal candidates for advanced optoelectronic applications. Despite their strong excitonic effects, the atomic-scale thickness of these materials limits their light absorption efficiency, necessitating innovative strategies to enhance light-matter interactions. Plasmonic nanostructures offer a promising solution to overcome those challenges by amplifying the electromagnetic field and also introducing other mechanisms, such as hot electron injection. In this study, we investigate the vibrational and optical properties of MoS<sub>2</sub> monolayer deposited on gold substrates and gratings, emphasizing the role of strain and plasmonic effects using conventional spectroscopic techniques. Our results reveal significant biaxial strain in the supported regions and a uniaxial strain gradient in the suspended ones, showing a strain-induced exciton and carrier funneling effect toward the center of the nanogaps. Moreover, we observed an additional polarization-dependent doping mechanism in the suspended regions. This effect was attributed to localized surface plasmons generated within the slits, as confirmed by numerical simulations, which may decay nonradiatively into hot electrons and be injected into the monolayer. Photoluminescence measurements further demonstrated a polarization-dependent trion-to-A exciton intensity ratio, supporting the hypothesis of additional plasmon-induced doping. These findings provide a comprehensive understanding of the strain-mediated funneling effects and plasmonic interactions in hybrid MoS<sub>2</sub>/Au nanostructures, offering valuable insights for developing high-efficiency photonic devices and quantum technologies, including polarization-sensitive detectors and excitonic circuits. Trion ; Plasmon ; Materials science ; Monolayer ; Optoelectronics ; Photoluminescence ; Polarization (electrochemistry) ; Doping ; Exciton ; Photonics ; Electron ; Nanostructure ; Nanotechnology ; Surface plasmon ; Condensed matter physics ; Chemistry ; Physics 2D Materials and Applications ; Plasmonic and Surface Plasmon Research ; Metamaterials and Metasurfaces Applications
Authors: Yuan Su | Ke He | Wenzheng Liu | Jin Li | Kai Hou | Shanshan Lv | Xiaowei He
Source: Food Innovation and Advances (article, 2025-01-01)
Field: Chemistry — Analytical Chemistry

Detection of soluble solid content in table grapes during storage based on visible-near-infrared spectroscopy The soluble solid content (SSC) in grapes significantly influences their flavour and plays an integral role in evaluation of the quality and consumer acceptance. This study employed visible near-infrared (Vis-NIR) spectroscopy to rapidly quantify SSC in table grapes during storage. A predictive model was developed to construct a correlation between the spectral data and the measured SSC, while a comparative analysis was undertaken to assess the effects of various spectral preprocessing techniques. Successive projection algorithms (SPA), uninformative variable elimination (UVE), and the competitive adaptive reweighting algorithm (CARS) were adopted to eliminate redundant variables from both the original and preprocessed spectral data. The partial least squares regression (PLSR), and support vector regression (SVR) algorithms were adopted to establish a predictive model. Comparing the modelling results derived from whole-band spectral data with those obtained from selected spectral variables, the optimal spectral prediction model was formulated utilizing PLSR. The model, which incorporated filtered characteristic wavelength spectral data obtained through CARS following standard normal variate (SNV) preprocessing yielded optimum results with the correlation coefficients of the calibration set (<i>R</i><sub>C</sub>), and the prediction set (<i>R</i><sub>P</sub>) were 0.956 and 0.940, respectively. The root mean square errors of the calibration set (<i>RMSEC</i>), and prediction set (<i>RMSEP</i>) were 0.683 and 0.769, respectively, while the ratio of prediction to deviation (RPD) was 2.899. These results suggest that the application of Vis-NIR spectroscopy technology could effectively detect the SSC in grapes during storage, and it can provide a valuable reference for the rapid assessment of the table grape quality. Near-infrared spectroscopy ; Table (database) ; Content (measure theory) ; Spectroscopy ; Infrared spectroscopy ; Infrared ; Chemistry ; Computer science ; Optics ; Mathematics ; Physics ; Data mining ; Organic chemistry ; Astronomy Spectroscopy and Chemometric Analyses ; Phytochemicals and Antioxidant Activities ; Advanced Chemical Sensor Technologies
Authors: Jia Zheng | Ruobing Wang | Wencheng Fang | Chengxing Li | Jiarui Zhang | Ziqi Wan | Yuqing Chen | Jin Liu | Xixi Zou | Li Xie | Qian Wang | Xi Li | Sannian Song | Xilin Zhou | Zhitang Song
Source: Nature Communications (article, 2025-07-01)
Field: Materials Science — Materials Chemistry

Extended switching endurance of phase change memory through nano-confined cell structure Phase change memory has been regarded as a promising candidate for storage class memory application. However, the high switching current and limited switching endurance remain a critical challenge. In this work a switching endurance beyond 1.1 × 10<sup>11</sup> cycles is demonstrated in the mushroom-type memory device with nano-cofined structure and carbon-doped GeSbTe material. The over-programming of the memory cell induced by excessive RESET current gives rise to the recrystallization of the active phase change volume which accelerates the inward migration of carbon atoms to the bottom heater. The cyclic switching exacerbates the over-programming effect with denser carbon cluster accumulated at the boundary of the active region which causes the stuck-RESET failure. The nano-confined cell structure enables efficient heating by relocating the melt-quench region away from the interface to the dielectric layer which substantially reduces the RESET energy and, consequently, mitigates the over-programming effect and significantly extends the switching cycles. Nano- ; Phase-change memory ; Nanotechnology ; Materials science ; Layer (electronics) Phase-change materials and chalcogenides ; Advanced Memory and Neural Computing ; Chalcogenide Semiconductor Thin Films
Authors: Wenyuan Huang | Yu‐Cheng Liao | Peiling Wang | Ziao Chen | Z. L. Yang | Lijia Xu | Jiong Mu
Source: Frontiers in Plant Science (article, 2025-05-26)
Field: Chemistry — Analytical Chemistry

AITP-YOLO: improved tomato ripeness detection model based on multiple strategies The enhanced model features a reduced model size while exhibiting superior detection capabilities, enabling more efficient and precise recognition of tomato stages amidst complicated backgrounds, hence offering a valuable technical reference for automated tomato harvesting technology. Ripeness ; Computer science ; Biology ; Horticulture ; Ripening Spectroscopy and Chemometric Analyses ; Smart Agriculture and AI ; Leaf Properties and Growth Measurement
Authors: Dmitry Nevozhay | Ronald A. Rauch | Zhongya Wang | Konstantin Sokolov
Source: Nanoscale Advances (article, 2025-01-01)
Field: Materials Science — Biomaterials

Optimal size and PEG coating of gold nanoparticles for prolonged blood circulation: a statistical analysis of published data This study presents a statistical analysis of how gold nanoparticle (GNP) size and polyethylene glycol (PEG) coating molecular weight (MW) affect the circulation of nanoparticles in blood. We showed a non-linear relationship with interaction between GNP size and PEG MW. The findings revealed a threshold effect, and recommendations for GNP coating are discussed. Nanoparticle ; PEG ratio ; Biomedicine ; Colloidal gold ; Coating ; Blood circulation ; Nanotechnology ; Statistical analysis ; Materials science ; Circulation (fluid dynamics) ; Mathematics ; Medicine ; Bioinformatics ; Statistics ; Physics ; Biology ; Thermodynamics Nanoparticle-Based Drug Delivery ; Nanoparticles: synthesis and applications ; Gold and Silver Nanoparticles Synthesis and Applications
Authors: Zesen Zhou | Zhilong Gan | Lei Cao
Source: Discover Nano (review, 2025-02-10)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Recent progress in terahertz sensors based on graphene metamaterials Graphene-based terahertz (THz) metamaterials (MMs) are at the forefront of high-sensitivity sensing, with applications spanning biochemical to environmental fields. This review examines recent advances in graphene MMs-based THz sensors, covering foundational theories and innovative designs, from complex patterns to graphene-dielectric and graphene-metal hybrids. We explore ultra-trace detection enabled by <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>π</mml:mi></mml:math> - <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>π</mml:mi></mml:math> stacking mechanisms, expanding capabilities beyond conventional refractive index-based methods. Despite significant theoretical progress, practical challenges remain due to material constraints; solutions such as multilayer graphene structures and hybrid low-mobility designs are discussed to enhance experimental feasibility. This review provides a comprehensive perspective on the evolving impact of graphene MMs, positioning them as transformative tools in multidisciplinary THz sensing. Terahertz radiation ; Graphene ; Metamaterial ; Terahertz metamaterials ; Materials science ; Optoelectronics ; Nanotechnology ; Far-infrared laser ; Physics ; Optics Metamaterials and Metasurfaces Applications ; Plasmonic and Surface Plasmon Research ; Topological Materials and Phenomena
Authors: Qi Zhang | Xin Xu | Yinghui Guo | Yuran Lu | Qiong He | Mingbo Pu | Xiaoyin Li | Mingfeng Xu | Fei Zhang | Xiangang Luo
Source: Nanophotonics (article, 2025-02-07)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Scaled transverse translation by planar optical elements for sub‐pixel sampling and remote super‐resolution imaging High resolution imaging represents a relentless pursuit within the field of optical system. Multi-frame super-resolution (SR) is an effective method for enhancing sampling density, while it heavily relies on sub-pixel scale displacement of a bulky camera. Based on the symmetric transformation of quadratic-phase metasurface, we propose scaled transverse translation (STT) utilizing planar optical elements (POEs) to facilitate sub-pixel sampling and remote super-resolution imaging. The STT module composed of a pair of planar optical elements with conjugated quadratic phase profile is fabricated and experimentally verified. By displacing POE within a millimeter-level range, we achieve sub-micron in imaging shift accuracy. Furthermore, the results of SR and SR enhanced Fourier ptychography imaging demonstrate significant compatibility and effectiveness of this module. The resolution improvement in FP imaging increases from 2× to 2.8× by sub-pixel sampling using this module. Moreover, defect reduction and contrast enhancement are obtained. With its advantages of light-weight, simple structure and ease of implementation, this method shows considerable potential for numerous imaging applications. Optics ; Pixel ; Planar ; Materials science ; Digital micromirror device ; Sampling (signal processing) ; Translation (biology) ; Ptychography ; Frame rate ; Computer science ; Physics ; Diffraction Metamaterials and Metasurfaces Applications ; Orbital Angular Momentum in Optics ; Advanced Optical Imaging Technologies
Authors: Guillem García-Llorens | Meryem El Ouardi | Victoria Valls‐Bellés
Source: Applied Sciences (article, 2025-09-18)
Field: Chemistry — Organic Chemistry

Oxidative Stress Fundamentals: Unraveling the Pathophysiological Role of Redox Imbalance in Non-Communicable Diseases Oxidative stress, resulting from an imbalance between reactive oxygen species (ROS) production and the antioxidant defense system, plays a central role in the pathophysiology of numerous diseases, including cardiovascular, neurodegenerative, and inflammatory disorders. This review explores the biochemical mechanisms of ROS-induced damage to lipids, proteins, cholesterol, and DNA, and analyzes both endogenous (enzymatic and non-enzymatic) and exogenous (nutritional) antioxidant systems that counteract oxidative damage. Key enzymes such as superoxide dismutase, catalase, and glutathione peroxidase, alongside dietary antioxidants like vitamins C and E, polyphenols, and carotenoids, are highlighted for their protective roles. The dual antioxidant/pro-oxidant behavior of these compounds under varying physiological conditions is discussed. Furthermore, this paper reviews the cellular repair systems activated in response to oxidative injury and the biomarkers used to assess oxidative stress in clinical settings. Special attention is given to the implications of oxidative stress in cardiovascular and autoimmune diseases and the potential of antioxidant strategies in disease prevention and therapy. The findings underscore the importance of maintaining redox homeostasis and support further research into antioxidant-based interventions. Oxidative stress ; Antioxidant ; Reactive oxygen species ; Endogeny ; Homeostasis ; Oxidative phosphorylation ; Glutathione ; Superoxide dismutase Free Radicals and Antioxidants ; Vitamin C and Antioxidants Research ; Glutathione Transferases and Polymorphisms
Authors: Huanhuan Gao | Y. H. Zhan | Yuanqi Liu | Zhiyi Zhu | Yingjie Zheng | Liqin Qian | Zhangzhi Xue | Haiyan Cheng | Zan Nie | Weigang Ge | S. N. Ruan | Jiaxu Liu | Jikai Zhang | Yingying Sun | Lei Zhou | Dongyue Xun | Yingrui Wang | Hui Xu | Huiwen Miao | Yi Zhu | Tiannan Guo
Source: bioRxiv (Cold Spring Harbor Laboratory) (preprint, 2025-04-26)
Field: Chemistry — Spectroscopy

Systematic evaluation of blood contamination in nanoparticle-based plasma proteomics Abstract Circulating blood proteomics enables minimally invasive biomarker discovery. Nanoparticle (NP)-based circulating plasma proteomics studies have reported varying number of proteins, ranging from ca 2000 to 7000 but it’s not clear whether higher protein number is more informative. Here, we first develop OmniProt – a silica-NP workflow for plasma proteomics which is optimized through systematic evaluation of NP types and protein corona formation parameters. Next, we present an Astral spectral library for 10,109 protein groups expressed in human plasma. Using Astral with a throughput of 60 sample-per-day, OmniProt identifies ca 3000 to 6000 protein groups from human plasma. Notably, we found that platelet/erythrocyte/coagulation-related contamination artificially elevates protein identifications and compromises quantification accuracy for circulating plasma proteins in NP-enriched samples. Through controlled contamination experiments, we identified and validated protein biomarkers for contaminations of platelet, erythrocyte, and coagulation, respectively, in NP-based plasma proteomics experiments. We further developed an open-access software Baize for accessing plasma proteomics contamination. Finally, we validated our OmniProt workflow and Baize software in a clinical cohort of 193 patients with CT-indistinct benign nodules or early lung cancers. On average, we identified ca 4400 protein groups for each plasma sample without significant contamination. Five samples were flagged out as contaminated. In conclusion, this study reveals that contamination of plasma samples significantly alters the protein identification and quantification in NP-based plasma proteomics experiments, and presents an open-access software Baize to evaluate plasma proteome contamination. Proteomics ; Proteome ; Blood proteins ; Contamination ; Chemistry ; Biomarker ; Computational biology ; Bioinformatics ; Chromatography ; Biology ; Biochemistry Advanced Proteomics Techniques and Applications ; Biosensors and Analytical Detection
Authors: Hongyi Sun | Chuanyu Lian | Francis Vásquez | S. Kari | Yi‐Siou Huang | Alessandro Restelli | Steven A. Vitale | Ichiro Takeuchi | Juejun Hu | Nathan Youngblood | Georges Pavlidis | Carlos Rı́os
Source: Nature Communications (article, 2025-05-09)
Field: Materials Science — Materials Chemistry

Microheater hotspot engineering for spatially resolved and repeatable multi-level switching in foundry-processed phase change silicon photonics Nonvolatile photonic integrated circuits employing phase change materials have relied either on optical switching with precise multi-level control but poor scalability or electrical switching with seamless integration and scalability but mostly limited to a binary response. The main limitation of the latter is relying on stochastic nucleation, since its random nature hinders the repeatability of multi-level states. Here, we show engineered waveguide-integrated microheaters to achieve precise spatial control of the temperature profile (i.e., hotspot) and, thus, switch deterministic areas of an embedded phase change material. We experimentally demonstrate this concept using a variety of foundry-processed doped-silicon microheaters on a silicon-on-insulator platform featuring Sb<sub>2</sub>Se<sub>3</sub> or Ge<sub>2</sub>Sb<sub>2</sub>Se<sub>4</sub>Te and achieve 27 cycles with 7 repeatable levels each. We further characterize the microheaters' response using Transient Thermoreflectance Imaging. Our microstructure engineering concept demonstrates the evasive repeatable multi-levels employing a single microheater device, which is necessary for robust and energy-efficient reprogrammable phase change photonics in analog processing and computing. Hotspot (geology) ; Microheater ; Photonics ; Materials science ; Silicon photonics ; Silicon ; Phase change ; Foundry ; Nanotechnology ; Optoelectronics ; Engineering physics ; Engineering ; Physics ; Fabrication Phase-change materials and chalcogenides ; Photonic and Optical Devices ; Neural Networks and Reservoir Computing
Authors: Attilio Naccarato | Rosangela Elliani | Antonio Tagarelli
Source: Separations (article, 2025-05-14)
Field: Chemistry — Analytical Chemistry

Microextraction and Eco-Friendly Techniques Applied to Solid Matrices Followed by Chromatographic Analysis In this review, a 5-year overview on environmentally friendly approaches for the extraction of the most relevant organic pollutants in soil, sediment, particulate matter, and sewage sludge coupled with chromatographic analysis is reported. Organic contaminants encompass various compounds derived from personal care products, industrial chemicals, microplastics, organic matter combustion, agricultural practices, and plasticizer material. The principles of green analytical chemistry (GAC) and green sample preparation (GSP) serve as a guideline for the development of more environmentally sustainable analytical protocols. This study focuses attention on microwave-assisted extraction (MAE), ultrasound-assisted extraction (UAE), matrix solid-phase dispersion (MSPD), and microextraction techniques, such as solid-phase microextraction (SPME), stir bar sorptive extraction (SBSE), hollow-fiber liquid-phase microextraction (HF-LPME), spray-assisted droplet formation-based liquid-phase microextraction (SADF-LPME), and dispersive liquid–liquid extraction (DLLME). These approaches represent the most relevant eco-friendly sample preparation for the advanced extraction of target analytes from environmental solid samples. Chromatography ; Environmentally friendly ; Chemistry ; Biology Analytical chemistry methods development ; Analytical Chemistry and Chromatography ; Pesticide Residue Analysis and Safety
Authors: Qiang Xiao | Lin Han Fan | Qian Ma | Yu Ning | Ze Gu | Long Chen | Lianlin Li | Jian Wei You | Yafeng Niu | Tie Jun Cui
Source: Nature Communications (article, 2025-08-25)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Secure wireless communication of brain–computer interface and mind control of smart devices enabled by space-time-coding metasurface Brain-computer interface (BCI) provides an interconnected pathway between the human brain and external devices and paves a potential route for mind manipulations. However, most existing BCI technologies are based on simple signal transmission and are independent of other interface devices, with limited consideration for the reliability and security of the human brain's information interaction in complicated wireless environments. Here, we propose a deep fusion coding scheme that combines the BCI visual stimulation coding with metasurface space-time coding at the physical layer, enabling reliable and secure information transfers between the human brain and external devices. A brain space-time-coding metasurface platform is designed to implement a secure wireless communication system by using harmonic-encrypted beams. We design and fabricate a proof-of-principle prototype and experimentally show that the proposed wireless BCI scheme can establish a remote but safeguarded paradigm for human-machine interactions and intelligent metasurfaces, providing a potential direction in future secure wireless communications. Computer science ; Wireless ; Brain–computer interface ; Coding (social sciences) ; Wireless network ; Interface (matter) ; Telecommunications Metamaterials and Metasurfaces Applications ; Wireless Communication Security Techniques ; Molecular Communication and Nanonetworks