jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Amir Kashtiaray | Mahdi Karimi | Mostafa Ghafori-Gorab | Ali Maleki
Source: Materials Advances (review, 2025-01-01)
Field: Materials Science — Materials Chemistry

A comprehensive review on the recent applications of nanozymes in breast cancer therapy and diagnosis Nanozymes have been developed as engineered nanomaterials that mimic the catalytic functions of natural enzymes. Breast cancer ; Cancer therapy ; Medicine ; Cancer ; Intensive care medicine ; Medical physics ; Internal medicine Advanced Nanomaterials in Catalysis ; Nanocluster Synthesis and Applications ; Nanoplatforms for cancer theranostics
Authors: Hironobu Hayashi | Hiroko Yamada
Source: Chemical Science (review, 2025-01-01)
Field: Chemistry — Organic Chemistry

Exploring the chemistry of higher acenes: from synthesis to applications This review explores the advancements in the chemistry of higher acenes and their derivatives, with a focus on their synthesis, characterization, and potential applications. Historically, higher acenes have presented challenges to study due to their inherent instability and reactivity under ambient conditions. However, innovative synthetic strategies, including on-surface synthesis and the precursor approach, have significantly contributed to the ability to synthesize higher acenes even at preparative scales while evaluating their magnetic and semiconducting properties. Furthermore, ethynylene-bridged acene oligomers and polymers, known for their extended π-conjugated systems, have shown promise not only as semiconducting materials but also as topological materials. As synthetic methods continue to evolve and characterization techniques become more sophisticated, higher acenes offer exciting opportunities for progress in the fields of organic chemistry and materials science, paving the way for advanced applications in organic electronics. Focus (optics) ; Chemistry ; Nanotechnology ; Characterization (materials science) ; Computer science ; Computational chemistry ; Combinatorial chemistry ; Materials science ; Physics Fullerene Chemistry and Applications ; Molecular Junctions and Nanostructures ; Organic Electronics and Photovoltaics
Authors: Quan Yuan | Shaodong Wang | Liping He | Shiwei Xu
Source: Polymers (review, 2025-05-03)
Field: Materials Science — Polymers and Plastics

Advances in the Study of Flame-Retardant Cellulose and Its Application in Polymers: A Review Cellulose, as a green and renewable polymer material, has attracted the attention of a wide range of scholars for its excellent mechanical strength, easy chemical modification and degradability. However, its flammability limits its application in automotive, aerospace, construction, textile and electronic fields. This review recapitulates the modification methods of flame-retardant cellulose and their applications in polymers in recent years. This paper discusses the fabrication of flame-retardant cellulose from various aspects such as boron, nitrogen, phosphorus, sulphur, inorganic and heterogeneous synergistic modification, respectively, and evaluates the flame retardancy of flame-retardant cellulose by means of thermogravimetry, cone calorimetry, limiting oxygen index, the vertical combustion of UL94, etc. Finally, it discusses the application of flame-retardant cellulose in actual composites, which fully reflects the extraordinary potential of flame-retardant cellulose for applications in polymers. Currently, flame-retardant cellulose has significantly improved its flame-retardant properties through multi-faceted modification strategies and has shown a broad application prospect in composite materials. However, interfacial compatibility, environmental protection and process optimisation are still the key directions for future research, and efficient, low-toxic and industrialised flame-retardant cellulose materials need to be realised through innovative design. Fire retardant ; Limiting oxygen index ; Cellulose ; Materials science ; Flammability ; Polymer ; Composite material ; Cellulose fiber ; Thermogravimetry ; Combustion ; Chemical engineering ; Organic chemistry ; Chemistry ; Char Flame retardant materials and properties ; Advanced Cellulose Research Studies ; biodegradable polymer synthesis and properties
Authors: Meiqing Yang | Congkai Xie | Haozi Lu
Source: International Journal of Molecular Sciences (review, 2025-06-03)
Field: Materials Science — Materials Chemistry

Advances in MXene-Based Electrochemical Sensors for Multiplexed Detection in Biofluids Detection of multiple analytes in biofluids is of significance for early disease diagnosis, effective treatment monitoring, and accurate prognostic assessment. Electrochemical sensors have emerged as a promising tool for the multiplexed detection of biofluids due to their low cost, high sensitivity, and rapid response. Two-dimensional transition metal carbon/nitride MXene, which has the advantages of a large specific surface area, good electrical conductivity, and abundant surface functional groups, has received increasing attention in the electrochemical sensing field. This paper systematically reviews the advances of MXene-based electrochemical sensors for multiplexed detection in biofluids, emphasizing the design of MXene-based electrode materials as well as the strategies for distinguishing multiple signals during simultaneous electrochemical analysis. In addition, this paper critically analyzes the existing challenges of MXene-based electrochemical sensors for multiplexed detection of biofluids and proposes future development directions for this field. The ultimate goal is to improve biofluid multiplexed detection technology for clinical medical applications. Nanotechnology ; Multiplexing ; Materials science ; Analyte ; Computer science ; Chemistry ; Telecommunications MXene and MAX Phase Materials ; Advanced biosensing and bioanalysis techniques ; Advanced Memory and Neural Computing
Authors: Alain C. Diebold | Colin Ophus | Amir Kordijazi | Steven Consiglio | Sarah Lombardo | Dina H. Triyoso | Kandabara Tapily | Anna Mian | Nithin B. Venkataraman | Tomáš Morávek | Narendraraj Chandran | Robert Stroud | Gert J. Leusink
Source: Microscopy and Microanalysis (article, 2025-03-12)
Field: Materials Science — Materials Chemistry

Template Matching Approach for Automated Determination of Crystal Phase and Orientation of Grains in 4D-STEM Precession Electron Diffraction Data for Hafnium Zirconium Oxide Ferroelectric Thin Films Thin film processing methods used to fabricate ferroelectric hafnium zirconium oxide typically result in small-grained films with a mixture of ferroelectric and nonferroelectric crystal phases with various crystallographic orientations. Although reliable, rapid determination of grain phase and orientation from four-dimensional scanning transmission electron microscopy maps is critical for measuring increased ferroelectric response, an assessment of automated analysis methods is not available. Here, a comparison of results between commercially available software (NanoMEGAS ASTAR) and an open-source code (py4DSTEM) is presented. Typically, the lamella used for STEM characterization are thicker than the average hafnium zirconium oxide (HZO) grain size, resulting in 4D maps where dynamical diffraction from more than one grain occurs in a significant number of pixels. Thus, precession electron diffraction (PED) data was required for reliable automated template matching analysis. Reliably distinguishing between the different crystal phases of HZO is challenging due to the small difference in lattice constant between phases and the possible presence of multiple orthorhombic phases. The HZO films in this study were characterized using PED, and precession diffraction simulation capability was added to py4DSTEM. Correlation of automated phase mapping with electrical verification of the ferroelectric effect confirmed the identification of the noncentrosymmetric space group 29 orthorhombic phase of HZO. Materials science ; Orientation (vector space) ; Zirconium ; Ferroelectricity ; Phase (matter) ; Electron diffraction ; Diffraction ; Crystallography ; Optics ; Optoelectronics ; Metallurgy ; Physics ; Chemistry ; Geometry Machine Learning in Materials Science ; X-ray Diffraction in Crystallography ; Electron and X-Ray Spectroscopy Techniques
Authors: Chunyu Zhao | Weikang Dong | Yang Yang | Hongbin Yu | Jingyi Duan | Denan Kong | Kangshu Li | Xiaocang Han | Chao Yun | Tingjun Wang | Ping Wang | Yang Zhao | Jijian Liu | Qingmei Hu | Lin Jia | Ying Zhang | Hui Ai | Shanshan Wang | Dian Li | Tianyu Zang | Yao Guo | Xueyun Wang | Xiaoxu Zhao | Yao Zhou | Jiadong Zhou
Source: Nature Communications (article, 2025-07-07)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Intrinsic ferroelectric CuVP2S6 for potential applications in neuromorphic recognition and translation Two-dimensional ferroelectric materials hold promises for non-volatile memory and integrated electronic circuits. However, direct synthesizing and understanding the ferroelectric mechanism of two-dimensional room-temperature ferroelectrics remains challenging. Here, we report the synthesis of intrinsic room-temperature ferroelectric CuVP<sub>2</sub>S<sub>6</sub> via spatially confined chemical vapor deposition method, as demonstrated by second harmonic generation and piezoresponse force microscopy measurements. Importantly, we experimentally uncover the ferroelectric mechanism of CuVP<sub>2</sub>S<sub>6</sub>, which originates from the movement of Cu ions, as confirmed by scanning transmission electron microscopy. Additionally, we construct an optoelectronic CuVP<sub>2</sub>S<sub>6</sub> synaptic device, which enables a smooth transition from optical character recognition to neural machine translation using a transformer architecture. Our study not only elucidates the ferroelectric mechanism of two-dimensional metal phosphorus sulfide compounds but also integrates optical character recognition and neural machine translation within a single material, offering significant opportunities for neuromorphic computing systems. Neuromorphic engineering ; Translation (biology) ; Computer science ; Ferroelectricity ; Neuroscience ; Artificial intelligence ; Biology ; Materials science ; Artificial neural network ; Optoelectronics Multiferroics and related materials ; Advanced Memory and Neural Computing ; Ferroelectric and Piezoelectric Materials
Authors: Kai Wu | Zilin Zhang | Xiuhan He | Gangao Li | Decong Zheng | Zhiwei Li
Source: Scientific Reports (article, 2025-02-19)
Field: Chemistry — Analytical Chemistry

Using visible and NIR hyperspectral imaging and machine learning for nondestructive detection of nutrient contents in sorghum Nondestructive, rapid, and accurate detection of nutritional compositions in sorghum is crucial for agricultural and food industries. In our study, the crude protein, tannin, and crude fat contents of sorghum variety samples were taken as the research object. The visible near-infrared (VIS-NIR) hyperspectral of sorghum were measured by the indoor mobile scanning platform. The nutritional components were determined using chemical methods to analyze the differences in nutritional composition among different varieties. After preprocessing the original spectral, the competitive adaptive reweighted sampling (CARS) and bootstrapping soft shrinkage (BOSS) algorithms were used to coarsely extract the key variables. Subsequently, the iteratively retains informative variables (IRIV) was employed to assess the importance of these key variables, resulting in explanatory wavelength sets for crude protein, tannin, and crude fat. Finally, the partial least squares (PLS), back propagation (BP) and extreme learning machine (ELM) were utilized to establish detection models. The results indicated that the optimal wavelength variable sets for crude protein, tannin, and crude fat contained 41, 38, and 22 wavelength variables, respectively. The CARS-IRIV-PLS, BOSS-IRIV-PLS and BOSS-IRIV-ELM were suitable for detecting crude protein, tannin and crude fat, respectively. Meanwhile, the R<sub>p</sub><sup>2</sup>, RMSE<sub>p</sub> and RPD<sub>p</sub> values of the model were 0.69, 0.80% and 1.80, 0.88, 0.22% and 2.84, 0.61, 0.32% and 1.61, respectively. These detection models can be used for the effective estimation of the nutritional compositions in sorghum with VIS-NIR spectral data, and can provide an important basis for the application of food nutrition assessment. Hyperspectral imaging ; Sorghum ; Computer science ; Artificial intelligence ; Remote sensing ; Biology ; Agronomy ; Geology Spectroscopy and Chemometric Analyses ; Smart Agriculture and AI ; Meat and Animal Product Quality
Authors: Müslüm Güneş | Erdal Ertaş | Şeyhmus Tümür | Parvin Zulfugarova | Fidan Nuriyeva | Taras Kavetskyy | Yuliia Kukhazh | Pavlo Grozdov | Ondrej Šauša | Oleh Smutok | Dashgin Ganbarov | Arnold Kiv
Source: Magnetochemistry (article, 2025-06-21)
Field: Materials Science — Materials Chemistry

Synthesis and Antibacterial Evaluation of Silver-Coated Magnetic Iron Oxide/Activated Carbon Nanoparticles Derived from Hibiscus esculentus The increasing prevalence of antimicrobial resistance alongside the pharmacological limitations and adverse effects associated with conventional antibiotics necessitates the development of novel and efficacious antimicrobial agents. In this study, magnetic iron oxide nanoparticles (MIONPs) were synthesized via a chemical co-precipitation method. Activated carbon (AC) derived from Hibiscus esculentus (HE) fruit was coated onto the nanoparticle surfaces to fabricate MIONPs/HEAC nanocomposites. To augment their antimicrobial properties, silver ions were chemically reduced and deposited onto the MIONPs/HEAC surface, yielding MIONPs/HEAC@Ag nanocomposites. Comprehensive characterization of the synthesized nanocomposites was performed using scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), vibrating sample magnetometry (VSM), dynamic light scattering (DLS), and zeta potential analysis. DLS measurements indicated average particle sizes of approximately 122 nm and 164 nm for MIONPs/HEAC and MIONPs/HEAC@Ag, respectively. Saturation magnetization values were determined to be 73.6 emu/g for MIONPs and 65.5 emu/g for MIONPs/HEAC. Antibacterial assays demonstrated that MIONPs/HEAC@Ag exhibited significant inhibitory effects against Escherichia coli ATCC 25922 and Staphylococcus aureus ATCC 25923, with inhibition zone diameters of 11.50 mm and 13.00 mm, respectively. In contrast, uncoated MIONPs/HEAC showed negligible antibacterial activity against both bacterial strains. These findings indicate that MIONPs/HEAC@Ag nanocomposites possess considerable potential as antimicrobial agents for biomedical applications, particularly in addressing infections caused by antibiotic-resistant bacteria. Activated carbon ; Nanoparticle ; Hibiscus ; Oxide ; Iron oxide nanoparticles ; Chemistry ; Iron oxide ; Magnetic nanoparticles ; Antibacterial activity ; Nanotechnology ; Materials science ; Bacteria ; Adsorption ; Botany ; Biology ; Organic chemistry Nanoparticles: synthesis and applications ; Nigella sativa pharmacological applications ; Hibiscus Plant Research Studies
Authors: João Mouro | Telma Domingues | Tiago Pereira | Rui Campos | Jérôme Borme | Pedro Alpuim
Source: npj 2D Materials and Applications (article, 2025-04-04)
Field: Materials Science — Materials Chemistry

Analytical modeling and experimental characterization of drift in electrolyte-gated graphene field-effect transistors Electrolyte-gated graphene field-effect transistors are increasingly attractive as platforms for high-sensitivity and low-detection limit biosensing or in synaptic or memristive elements used in neuromorphic computing. However, their electrical stability and noise have yet to be thoroughly analyzed and understood. In this work, we have undertaken a comprehensive experimental characterization of the dynamic response of the drift in electrolyte-gated graphene field-effect transistors under various measurement conditions. We then developed an analytical model, which was phenomenologically validated for all observed drift phenomena and fitted to the experimental data. The model is based on charge trapping at the silicon oxide substrate defects in contact with the graphene channel. The electron transitions are made possible by the absorption of phonons to overcome the energetic barrier leading to the new state. This in-depth understanding of these devices’ responses is essential to fully exploit their behavior in applications and standardize practices amongst the community. Graphene ; Characterization (materials science) ; Materials science ; Electrolyte ; Field-effect transistor ; Optoelectronics ; Transistor ; Nanotechnology ; Field (mathematics) ; Engineering physics ; Electrode ; Physics ; Electrical engineering ; Engineering ; Voltage ; Mathematics ; Quantum mechanics Graphene research and applications ; Advanced Memory and Neural Computing ; Analytical Chemistry and Sensors
Authors: Alexander Azarov | Javier García‐Fernández | J. Zhao | Ru He | Ji‐Hyeon Park | Dae‐Woo Jeon | Øystein Prytz | Flyura Djurabekova | Andrej Kuznetsov
Source: Nature Communications (article, 2025-04-05)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Phase glides and self-organization of atomically abrupt interfaces out of stochastic disorder in α-Ga2O3 Disorder-induced ordering and remarkably high radiation tolerance in γ-phase of gallium oxide is a recent spectacular discovery at the intersection of the fundamental physics and electronic applications. Importantly, by far, these data were collected with initial samples in form of the thermodynamically stable β-phase of this material. Here, we investigate these phenomena starting from metastable α-phase and explain radically new trend occurring in the system. We argue that in contrast to that in β-to-γ disorder-induced transitions, the O sublattice in α-phase exhibits hexagonal close-packed structure, so that to activate α-to-γ transformation significant structural rearrangements are required in both Ga and O sublattices. Moreover, consistent with theoretical predictions, α-to-γ phase transformation requires accumulation of the substantial tensile strain to initiate otherwise impossible lattice glides. Thus, we explain the experimentally observed trends in term of the combination of disorder and strain governed process. Finally, we demonstrate atomically abrupt α/γ interfaces paradoxically self-organized out of the stochastic disorder. Metastability ; Lattice (music) ; Hexagonal crystal system ; Phase (matter) ; Condensed matter physics ; Materials science ; Intersection (aeronautics) ; Transformation (genetics) ; Chemical physics ; Physics ; Statistical physics ; Crystallography ; Chemistry ; Quantum mechanics Ga2O3 and related materials ; ZnO doping and properties ; Electronic and Structural Properties of Oxides
Authors: Zefeng Song | Yuanqiang Hao | Yunfei Long | Peisheng Zhang | Rongjin Zeng | Chen Shu | Wansong Chen
Source: Molecules (review, 2025-01-18)
Field: Materials Science — Materials Chemistry

Luminescent Lanthanide Infinite Coordination Polymers for Ratiometric Sensing Applications Ratiometric lanthanide coordination polymers (Ln-CPs) are advanced materials that combine the unique optical properties of lanthanide ions (e.g., Eu<sup>3+</sup>, Tb<sup>3+</sup>, Ce<sup>3+</sup>) with the structural flexibility and tunability of coordination polymers. These materials are widely used in biological and chemical sensing, environmental monitoring, and medical diagnostics due to their narrow-band emission, long fluorescence lifetimes, and excellent resistance to photobleaching. This review focuses on the composition, sensing mechanisms, and applications of ratiometric Ln-CPs. The ratiometric fluorescence mechanism relies on two distinct emission bands, which provides a self-calibrating, reliable, and precise method for detection. The relative intensity ratio between these bands varies with the concentration of the target analyte, enabling real-time monitoring and minimizing environmental interference. This ratiometric approach is particularly suitable for detecting trace analytes and for use in complex environments where factors like background noise, temperature fluctuations, and light intensity variations may affect the results. Finally, we outline future research directions for improving the design and synthesis of ratiometric Ln-CPs, such as incorporating long-lifetime reference luminescent molecules, exploring near-infrared emission systems, and developing up-conversion or two-photon luminescent materials. Progress in these areas could significantly broaden the scope of ratiometric Ln-CP applications, especially in biosensing, environmental monitoring, and other advanced fields. Lanthanide ; Luminescence ; Analyte ; Photobleaching ; Fluorescence ; Materials science ; Luminescent Measurements ; Nanotechnology ; Biosensor ; Flexibility (engineering) ; Polymer ; Infrared ; Chemistry ; Ion ; Optoelectronics ; Physical chemistry ; Organic chemistry ; Optics ; Physics Lanthanide and Transition Metal Complexes ; Metal-Organic Frameworks: Synthesis and Applications ; Molecular Sensors and Ion Detection
Authors: Ekaterina Moreva | Valeria Cimini | Ilaria Gianani | Ettore Bernardi | P. Traina | Ivo Pietro Degiovanni | Marco Barbieri
Source: APL Photonics (article, 2025-01-01)
Field: Materials Science — Materials Chemistry

Quantum photonics sensing in biosystems Quantum sensors emerged among quantum technologies as the ones with promising potential applications in the near future. This perspective reviews two leading quantum sensing platforms and their advancements toward biological applications: quantum light sources and color centers in diamonds. Quantum light, including squeezed states and N00N states, allows enhanced phase measurements by surpassing the classical shot noise limits. This advantage can be exploited in several contexts, enabling improved resolution and sensitivity, which are particularly valuable in biological contexts where traditional high-intensity illumination could damage or alter delicate samples. In parallel, color centers in diamonds, specifically nitrogen-vacancy and silicon-vacancy centers, also emerged as promising for sensing applications due to their high sensitivity and biocompatibility. These sensors enable detailed intracellular measurements, such as temperature detection, and show potential for measuring magnetic fields of biological origin. Despite these advancements, significant challenges remain in translating these technologies from a controlled laboratory environment to practical, widely applicable devices for diverse biological applications. Overcoming these challenges is crucial for unlocking the full potential of quantum sensors in the biological field. Quantum sensor ; Photonics ; Quantum ; Quantum technology ; Quantum imaging ; Nanotechnology ; Computer science ; Physics ; Optoelectronics ; Materials science ; Open quantum system ; Quantum mechanics Diamond and Carbon-based Materials Research ; Mechanical and Optical Resonators ; Analytical Chemistry and Sensors