jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Boli Xu | Renbin Zhong
Source: Micromachines (article, 2026-01-20)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Metamaterial Incident Photon Reconstruction Theory Based on Resonant Dipole Phase In this study, a Metamaterial Incident Photon Reconstruction Theory (MIPRT) is developed to describe the modulation process of metamaterials on incident photons. The theory includes the Invariant Incident Photon Hypothesis and Resonant Phase Deconstruction and Quantification; it reveals the modulation characteristics of metamaterials on incident photons, not by first absorption and then re-emission but by inducing coherent destructive interference, which brings about redistribution of the spatial probability of photon occurrence. This theory is validated in a single-layer metamaterial, and a unique relationship between the resonant phase and amplitude is derived and confirmed by simulation. The proposed MIPRT brings a comprehensive understanding of the electromagnetic (EM) response characteristics of metamaterials and provides a new idea for metamaterial theory from another perspective. Metamaterial ; Photon ; Invariant (physics) ; Phase (matter) ; Amplitude ; Phase modulation ; Photonic metamaterial ; Modulation (music) Metamaterials and Metasurfaces Applications ; Quantum optics and atomic interactions ; Plasmonic and Surface Plasmon Research
Authors: Luciana Batista Cuité Lopes | Alice Campos Ferreira | Rebeca de Oliveira Varela | Paula Ciane da Silva Dias | Paulo Victor Melo Pessoa | Brenda Costa de Sousa | Andrei Santos Siqueira
Source: Revista Eletrônica Acervo Saúde (article, 2026-01-23)
Field: Chemistry — Organic Chemistry

Triagem virtual no reposicionamento de fármacos em Beta-1,3- Glucano Sintase de Candida albicans Objetivo: Identificar potenciais inibidores da enzima β-1,3-glucanosintase de Candida albicans por meio de abordagens in silico, visando o reposicionamento de fármacos aprovados pela FDA como alternativa para o desenvolvimento de novos agentes antifúngicos. Métodos: A modelagem por homologia da enzima foi realizada com base na estrutura de Saccharomycescerevisiae, apresentando 93,45% dos resíduos em regiões favoráveis no gráfico de Ramachandran. A triagem virtual foi conduzida no servidor MTi Open Screen com a biblioteca Drugs-lib, seguida de acoplamento molecular e simulações de dinâmica molecular de 100 ns no software AMBER 2024. As energias livres de ligação foram calculadas pelos métodos MMGBSA e MMPBSA. Resultados: Entre os compostos avaliados, o Elbasvir apresentou a energia de ligação mais favorável (–62,4 kcal/mol), estabilidade conformacional e interações consistentes com resíduos do sítio ativo da enzima, destacando-se como o melhor candidato. O Itraconazol também demonstrou boa afinidade e possível duplo mecanismo de ação, atuando tanto na lanosterol 14α-desmetilase quanto na β-1,3-glucanosintase. Conclusão: O estudo confirmou o potencial do reposicionamento de fármacos como estratégia eficiente na descoberta de novos antifúngicos. O Elbasvir destacou-se como forte candidato para validação experimental e possível uso terapêutico contra C. albicans. Candida albicans ; Yeast ; Amphotericin B ; Saccharomyces cerevisiae ; Cytotoxicity ; Drug Carbohydrate Chemistry and Synthesis ; Education during COVID-19 pandemic ; Science and Education Research
Authors: Patricia Rojas-Sanchez | Kirstine Juul-Elbaek | Henriette Pedersen | Dorte Schou Nørøxe | Aleena Azam | Hui Guo | Cong Zhou | J. Bartek | Jane Skjøth-Rasmussen | Ulrik Lassen | Erwin Schoff | Petra Hamerlik
Source: Neuro-Oncology Advances (article, 2026-01-01)
Field: Chemistry — Spectroscopy

Noninvasive detection and monitoring of glioblastoma subtypes via dual-marker plasma proteomics Our findings support the development of a dual-marker, proteomics-based plasma assay for noninvasive GBM detection and real-time monitoring. This approach has the potential to complement imaging and inform therapeutic decision-making. Proteome ; Tandem mass tag ; Proteomics ; Disease ; Cartilage oligomeric matrix protein ; Gene expression profiling ; Multiplex Advanced Proteomics Techniques and Applications ; Glioma Diagnosis and Treatment ; Extracellular vesicles in disease
Authors: Mehdi Kiani | Heedong Goh | Andrea Alù
Source: npj Metamaterials (article, 2026-02-27)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Nonreciprocal nonlocal metasurface for multifunctional image processor Nonlocal metasurfaces offer a platform to reduce footprint, power consumption and processing time in image processing and computing. Most implementations, however, are limited to single operations and confined to spatially symmetric functions that comply with reciprocity. Here, we introduce a nonreciprocal metasurface that leverages magneto-optical phenomena combined with nonlocality to execute edge detection or noise mitigation on images as a function of the observer position. Our work opens the door to ultra-compact, multifunctional devices that combine nonlocality and nonreciprocity for all-optical image processing, with potential applications in augmented reality, remote sensing, and biomedical imaging. Power consumption ; Image processing ; Quantum nonlocality ; Noise (video) ; Observer (physics) ; Function (biology) ; Image (mathematics) ; Power (physics) Metamaterials and Metasurfaces Applications ; Plasmonic and Surface Plasmon Research ; Neural Networks and Reservoir Computing
Authors: Avianita Agustianti | Herry Nirwanto | M. Maroeto
Source: Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) (article, 2026-02-06)
Field: Chemistry — Analytical Chemistry

Study of Thermal Imaging Potential for Early Detection of Fusarium sp. Pathogen on Rice Seeds (Oryza sativa L.) The early detection of Fusarium sp. infection in rice seeds is crucial for improving agricultural productivity and food security. Traditional methods like the Blotter Test, while effective, are time-consuming and require specialized personnel. This study explores the potential of thermal imaging technology to detect Fusarium sp. infections on rice seeds quickly and non-destructively. Rice seeds were inoculated with Fusarium sp. and incubated for seven days, during which surface temperatures were measured daily using the Fluke iSee TC01A thermal camera. The results showed that infected seeds exhibited significantly higher surface temperatures compared to control seeds, particularly from days 3 to 6 of incubation. Scatterplot analyses revealed clear temperature differences between infected and uninfected seeds, supporting the hypothesis that thermal imaging can serve as an early indicator of Fusarium infection. The study also demonstrated the high sensitivity and specificity of thermal imaging, particularly on days 2 to 4 of the incubation period. Logistic regression analysis confirmed the significant relationship between seed temperature and infection status, with prediction accuracy up to 91%. This research suggests that thermal imaging technology could replace traditional methods, offering a faster, more efficient approach for seed health monitoring in the agricultural industry. Fusarium ; Oryza sativa ; Inoculation ; Productivity ; Pathogen ; Incubation Spectroscopy and Chemometric Analyses ; Listeria monocytogenes in Food Safety ; Infrared Thermography in Medicine
Authors: M. Temple-Raston
Source: Machine Learning and Applications An International Journal (article, 2026-03-28)
Field: Materials Science — Materials Chemistry

DECISION MAKING IN SCIENTIFIC MACHINE LEARNING Scientific Machine Learning is built on the science-of-counting, is deductively solvable, and well-suited to business and human applications that naturally count. From the Gibbs formalism, Scientific Machine Learning produces unique and exact scientific measurements that define the state of the time-series. Timeseries itself defines a geometric structure tailor made for prediction, optimization and decision making. Inventory management decisions will demonstrate Scientific Machine Learning without introducing models or model bias. Computational learning theory ; State (computer science) ; Active learning (machine learning) ; Scientific modelling ; Decision tree ; Decision analysis ; Decision theory Machine Learning in Materials Science ; Gaussian Processes and Bayesian Inference ; Forecasting Techniques and Applications
Authors: ABIDITA CHAKRABARTY | SUDIPTA KUMAR DAS | SOUPTIKA PATRA | SOMA RAJAK | SANDHIMITA MONDAL
Source: Science and Culture (article, 2026-02-09)
Field: Chemistry — Physical and Theoretical Chemistry

METAGENOMICS: A TRANSFORMATIVE PLATFORM ADVANCING SUSTAINABLE BIOTECHNOLOGY Metagenomics has revolutionised biotechnology by enabling direct sequencing of environmental DNA, overcoming culture-dependent limitations and revealing vast uncultured microbial diversity.Advances in next-generation sequencing and bioinformatics now allow comprehensive taxonomic and functional profiling, driving discoveries in novel enzymes, biosynthetic pathways, and microbial interactions.These insights support innovations in industrial bioprocessing, agriculture, environmental remediation, and human health.Integrated multi-omics and machine learning further enhance genome reconstruction, functional prediction, and synthetic biology applications, establishing metagenomics as a transformative platform for sustainable biotechnological advancements. Transformative learning ; Sustainable development ; Sustainability ; Work (physics) ; Global challenges thermodynamics and calorimetric analyses ; Genetics, Bioinformatics, and Biomedical Research ; Microbial Metabolic Engineering and Bioproduction
Authors: Chiara Boccato | Francesca Pieroni | Dario Trevisan
Source: Annales Henri Poincaré (article, 2026-02-21)
Field: Chemistry — Physical and Theoretical Chemistry

On Distances Among Slater Determinant States and Determinantal Point Processes Abstract Determinantal processes provide mathematical modeling of repulsion among points. In quantum mechanics, Slater determinant states generate such processes, reflecting fermionic behavior. This note exploits the connections between the former and the latter structures by establishing quantitative bounds in terms of trace/total variation and Wasserstein distances. Point process ; Point (geometry) ; Quantum ; Determinantal point process ; Slater determinant ; Stochastic process ; Variation (astronomy) History and advancements in chemistry
Authors: Ketil Bernt Sørensen | Laura Tiano | Solfrid Molid | Øystein Gabrielsen | Turid Liengen
Source: Frontiers in Microbiology (article, 2026-01-29)
Field: Materials Science — Materials Chemistry

Effects of operational disruptions on corrosion of seabed chains and associated microbial community in offshore mooring systems Several biological and chemical mechanisms are discussed in this paper. The data indicates that complex biogeochemical reactions were contributing to the observed corrosion, including several different biological pathways and types of S- and Fe-cycling, formation of protecting mineral layers and distribution of anodic and cathodic sections locally along the length of the seabed chains. Our findings emphasize the dynamic and unpredictable role of microbial communities, driving complex and spatially structured corrosion. Seabed ; Submarine pipeline ; Biogeochemical cycle ; Microbial population biology ; Cathodic protection ; Mooring ; Corrosion ; Geomicrobiology Corrosion Behavior and Inhibition ; Bacterial biofilms and quorum sensing ; Water Treatment and Disinfection
Authors: Z. Maches | Eckart Meiburg
Source: Journal of Fluid Mechanics (article, 2026-03-23)
Field: Materials Science — Materials Chemistry

Settling of fractal aggregates in fluids of uniform density and across density gradients The settling dynamics of fractal aggregates in constant-density environments and through miscible density interfaces are investigated via particle-resolved direct numerical simulations, which provide the settling velocity as a function of the fractal dimension, Galileo number, and particle and fluid densities. In a fluid of uniform density the settling velocity increases with the fractal dimension and the Galileo number. This behaviour is captured by an empirical relationship that holds over a broad range of parameter values. In the presence of a miscible density interface, consistent with earlier observations we observe that lighter fluid is carried into the denser layer by the aggregate’s pore spaces, which we quantify based on the concept of $\alpha$ -shapes. This causes the aggregate to slow down, until the lighter pore fluid is replaced by the denser fluid via a combination of diffusion and convection. The degree of the aggregate’s slowdown depends on the ratio of the density differences between the aggregate and the two fluids, and it can again be captured by an empirical relationship. The duration of the slowdown is determined by the pore fluid replacement time, which in turn depends on the relative importance of convection and diffusion, and hence on the aggregate’s geometry. A relationship is derived that captures the dependence of this replacement time on the shape of the aggregate, the ratio of the density differences, and the Galileo number. Settling ; Slowdown ; Fractal dimension ; Fractal ; Diffusion ; Particle density ; Range (aeronautics) ; Particle (ecology) Material Dynamics and Properties ; Block Copolymer Self-Assembly ; Enhanced Oil Recovery Techniques
Authors: Vincenzo Mottola | Luisa Faella | Carlo Forestiere | Antonello Tamburrino
Source: arXiv (Cornell University) (article, 2026-03-16)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Adjoint-Based Gradient Evaluation for Metasurface Inverse Design via Affine Geometric Transformations The sharp increasing in fabrication capabilities of nanomaterials, and complex structures such as meta-surfaces and metalens, has opened to the possibility of employing them for accurately control the electromagnetic field, beyond the possibility ensured by traditional devices. The demand for large scale structures and more complex functionalities from meta-surfaces lead to the research for advanced techniques of inverse design, able to conjugate the ability to produce effective designs and limited computational cost. Among the various approaches for inverse design of large meta-surfaces, the ones based on the adjoint variable method are appealing since able to ensure a minimal computational cost for the gradient computation of the cost function. In this work, a systematic methodology for the application of the adjoint variable method for large meta-surface design is presented. The method is based on: (i) a parametrization of the relevant geometric parameters of the meta-atoms, (ii) the fast computation of the gradient with respect such parameters, allowing for the implementation of general affine transformations during the optimization process. The main findings are first theoretically justified and a numerical validation is provided to show the effectiveness of the proposed approach. Conjugate gradient method ; Computation ; Inverse ; Affine transformation ; Parametrization (atmospheric modeling) ; Variable (mathematics) ; Gradient method ; Inverse problem Metamaterials and Metasurfaces Applications ; Electromagnetic Scattering and Analysis ; Electromagnetic Simulation and Numerical Methods
Authors: A. K. Chaudhary | Mohammadhossein Momtazpour | Lei Xu | Mohsen Rahmani | Sunil Kumar | Ravi Kumar Varshney | Miguel; id_orcid 0000-0003-0256-6465 Navarro-Cia
Source: Advanced Photonics Research (article, 2026-03-01)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Angularly Stable Terahertz Metasurface With Multi‐Frequency Narrowband Cross‐Polarization Conversion and Broadband Quarter Waveplate Function Precise manipulation of terahertz (THz) wave polarization is essential for enabling high‐performance THz imaging, wireless communication, and spectroscopy. However, existing birefringent and metasurface‐based polarization controllers typically offer either cross‐polarization conversion (CPC) or waveplate functionality and often operate over limited bandwidths with restricted angular tolerance. In this work, we experimentally demonstrate a compact, dual‐functional reflective metasurface that unifies high‐efficiency narrowband CPC with wideband quarter‐wave plate (QWP) operation. Both simulations and measurements confirm near‐unity cross polarization conversion at 0.65, 0.80, 2.02, and 2.48 THz, as well as QWP bands at 0.86–1.95 THz (fractional bandwidth, 77%) and 2.08–2.45 THz (FBW 16%). The measured results further reveal high polarization efficiency and angular stability up to 50°, validating the metasurface's practical potential. This experimentally verified design offers a significant step toward multifunctional, compact, and broadband THz polarization‐control components for next‐generation THz systems. Terahertz radiation ; Waveplate ; Narrowband ; Broadband ; Polarization (electrochemistry) ; Birefringence ; Wideband Metamaterials and Metasurfaces Applications ; Terahertz technology and applications ; Plasmonic and Surface Plasmon Research
Authors: Deniz Tuncer | Burak Kocuk
Source: ArXiv.org (article, 2026-01-21)
Field: Materials Science — Surfaces, Coatings and Films

MIQCP and MISOCP-Based Solution Methods for the Multi-Layer Thin Films Problem The Multi-Layer Thin Films Problem is a materials science problem that aims to enhance the reflectance of a metallic substrate by designing multi-layer coatings composed of different dielectric materials and thicknesses. While previous studies on the problem mostly rely on heuristic approaches and are designed for single wavelength applications, this work addresses the problem using global optimization techniques for multiple wavelengths. We develop an exact nonconvex mixed-integer quadratically constrained programming (MIQCP) model to solve this problem. We also develop a mixed-integer second-order cone programming relaxation that has computational advantage over the MIQCP model. Our numerical experiments yield solutions that have average reflectance of 99% over the visible spectrum (380-770 nm) and 95% over the broad spectrum (300-3000 nm). Thin film ; Heuristic ; Substrate (aquarium) ; Relaxation (psychology) ; Spectrum (functional analysis) ; Reflectivity ; Dielectric ; Wavelength Optical Coatings and Gratings ; Advanced optical system design ; Electromagnetic Scattering and Analysis
Authors: Loredana Moro
Source: Biology (article, 2026-03-23)
Field: Materials Science — Materials Chemistry

Snapshot on Cell-to-Cell Communication Nanotubes: From Bacteria to Humans From bacteria to higher vertebrates, cells have developed different systems to communicate with each other and transmit specific signals in a dynamic interplay with neighborhood cells. This review focuses on cell-to-cell communication mediated by nanotubes, membrane protrusions present during evolution from bacteria to higher plants and animals. We describe the basic structure of nanotubes in different organisms and cell types and their functions, which cover transfer of signaling molecules, ions, organelles and pathogens in a cell- and context-dependent manner, thereby promoting cell survival, tissue development, response to stress, pathogens' spreading and drug resistance. We also provide an overview of recent studies that are broadening our understanding of the role of these conduits in the pathogenesis of high-incidence diseases in humans, such as cancer and neurodegeneration. Snapshot (computer storage) ; Bacteria ; Organelle ; Cell ; Horizontal gene transfer ; Cell type Nanoparticles: synthesis and applications ; Cancer Research and Treatments ; Bacterial biofilms and quorum sensing
Authors: Wanpeng TAN
Source: Preprints.org (preprint, 2026-02-28)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Chiral Electron-Hole Pairing as the Origin of Anomalous Quasiparticle Dispersions in Unconventional Superconductors The microscopic pairing mechanism in unconventional superconductors remains elusive, largely because the extreme flatness of the superconducting band often obscures key energy-momentum dispersion features observed in angle-resolved photoemission spectroscopy. In this work, we re-examine high-resolution dispersion data from cuprates (Bi2212 and Bi2201) and iron-based superconductors (monolayer FeSe) to test the predictions of a newly proposed chiral electron-hole (CEH) pairing mechanism. Unlike Cooper pairs in BCS-like theories that form a single quasiparticle band with a smooth back-bending dispersion, CEH pairs exhibit a distinct two-band structure in quasiparticle dispersion with sharp cusps at the back-bending points. Our analysis identifies clear empirical signatures of these CEH-predicted features, concluding that quasiparticle dispersions in these strongly correlated materials deviate significantly from BCS-like behavior. Further comprehensive and targeted experimental strategies are proposed to definitively resolve the subtle dispersion features and rigorously test the CEH model for unconventional superconductivity. Quasiparticle ; Pairing ; Superconductivity ; Cuprate ; Dispersion (optics) ; Cooper pair Iron-based superconductors research ; Physics of Superconductivity and Magnetism ; Rare-earth and actinide compounds
Authors: Y. H. Chen | Jiali Cheng | Pengbin Dong | Liyang Wang | H. J. Yang | Ru Chen | Juanli Wang
Source: Plants (article, 2026-03-12)
Field: Chemistry — Analytical Chemistry

Conservation—Oriented Analysis of Apocynum venetum’s Distribution in Response to Climate Change Based on MaxEnt Model In recent years, global climate change, combined with increased human activities, has led to habitat degradation and range shifts in rare medicinal plants, potentially affecting the quality of medicinal herbs. In this study, we assessed how key environmental variables shape the potential distribution of <i>Apocynum venetum</i> L. based on 281 wild occurrence records and nine environmental variables using the MaxEnt model. The results revealed that the mean temperature of the coldest quarter, solar radiation in June, and elevation are the most significant factors affecting the distribution of <i>A. venetum</i>, with optimal values ranging from -10 to 5 °C, 21,000 to 23,000 kJ m<sup>-2</sup> day<sup>-1</sup>, and 200 to 1500 m, respectively. Ecological niche modeling indicated that highly suitable habitats are primarily located in Xinjiang, Gansu, Shaanxi, Shanxi, Henan, Hebei, Jiangsu, Shandong, and Inner Mongolia. However, future projections under climate change suggest an expansion of these suitable areas, shifting towards higher latitudes in the northwestern regions and high-altitude mountains. These findings provide a scientific basis for guiding the production and sustainable utilization of <i>A. venetum</i> resources. Climate change ; Habitat ; Elevation (ballistics) ; Distribution (mathematics) ; Range (aeronautics) ; Environmental niche modelling ; Latitude ; Species distribution Chromatography in Natural Products ; Species Distribution and Climate Change ; Advanced Synthetic Organic Chemistry