jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Md. Mahamudul Hasan Rumon | Md. Sohanur Rahman | Anwarul Azim Akib | Md. Shafiuzzaman Sohag | M.A. Rakib | Md. Abu Rayhan Khan | Farzana Yesmin | Md Salman Shakil | Mohammad Mizanur Rahman Khan
Source: Discover Materials (article, 2025-01-09)
Field: Materials Science — Biomaterials

Progress in hydrogel toughening: addressing structural and crosslinking challenges for biomedical applications Achieving the ideal replacement for robust biological tissues requires biocompatible materials with a nuanced blend of characteristics, including organ specific toughness, durability, self-repairing capability, and a well-defined structure. Hydrogels, structured with high water containing 3D-crosslinked polymeric networks, present a promising avenue in biomedical applications due to their close resemblance to natural tissues. However, their mechanical performance often falls short, limiting their clinical applications. Recent research has been focused on developing biocompatible hydrogel materials for therapeutic applications. Recent advancements have spurred researchers to develop biocompatible hydrogels having acceptable mechanical toughness. While it is now possible to tailor the mechanical properties of synthetic gels to mimic those of natural tissues, critical aspects such as biocompatibility and crosslinking strategies are frequently neglected. This review scrutinizes the structural and crosslinking techniques designed to improve the toughness of hydrogels, focusing especially on innovative efforts to integrate these enhancements into natural-based hydrogels. By thoroughly examining these methodologies, the review sheds light on the complexities of strengthening hydrogels for biomedical applications and will propose valuable insights for the development of next-generation tissue substitutes. Toughening ; Self-healing hydrogels ; Materials science ; Nanotechnology ; Composite material ; Toughness ; Polymer chemistry Electrospun Nanofibers in Biomedical Applications ; Hydrogels: synthesis, properties, applications ; 3D Printing in Biomedical Research
Authors: Hao Jiang | Yuhui Xie | Mukun He | Jindao Li | Feng Wu | Hua Guo | Yongqiang Guo | Delong Xie | Yi Mei | Junwei Gu
Source: Nano-Micro Letters (article, 2025-02-07)
Field: Materials Science — Materials Chemistry

Highly Thermally Conductiveand Flame-Retardant Waterborne Polyurethane Composites with 3D BNNS Bridging Structures via MagneticField Assistance The microstructure design for thermal conduction pathways in polymeric electrical encapsulation materials is essential to meet the stringent requirements for efficient thermal management and thermal runaway safety in modern electronic devices. Hence, a composite with three-dimensional network (Ho/U-BNNS/WPU) is developed by simultaneously incorporating magnetically modified boron nitride nanosheets (M@BNNS) and non-magnetic organo-grafted BNNS (U-BNNS) into waterborne polyurethane (WPU) to synchronous molding under a horizontal magnetic field. The results indicate that the continuous in-plane pathways formed by M@BNNS aligned along the magnetic field direction, combined with the bridging structure established by U-BNNS, enable Ho/U-BNNS/WPU to exhibit exceptional in-plane (λ<sub>//</sub>) and through-plane thermal conductivities (λ<sub>⊥</sub>). In particular, with the addition of 30 wt% M@BNNS and 5 wt% U-BNNS, the λ<sub>//</sub> and λ<sub>⊥</sub> of composites reach 11.47 and 2.88 W m<sup>-1</sup> K<sup>-1</sup>, respectively, which representing a 194.2% improvement in λ<sub>⊥</sub> compared to the composites with a single orientation of M@BNNS. Meanwhile, Ho/U-BNNS/WPU exhibits distinguished thermal management capabilities as thermal interface materials for LED and chips. The composites also demonstrate excellent flame retardancy, with a peak heat release and total heat release reduced by 58.9% and 36.9%, respectively, compared to WPU. Thus, this work offers new insights into the thermally conductive structural design and efficient flame-retardant systems of polymer composites, presenting broad application potential in electronic packaging fields. Materials science ; Fire retardant ; Polyurethane ; Composite material ; Boron nitride ; Bridging (networking) ; Microstructure ; Composite number ; Thermal conductivity ; Thermal ; Electrical conductor ; Nanotechnology Thermal properties of materials ; Flame retardant materials and properties ; Graphene research and applications
Authors: Hyejin Chang | Won Hur | Homan Kang | Bong‐Hyun Jun
Source: Light Science & Applications (review, 2025-02-11)
Field: Materials Science — Electronic, Optical and Magnetic Materials

In vivo surface-enhanced Raman scattering techniques: nanoprobes, instrumentation, and applications Surface-enhanced Raman scattering (SERS) has emerged as a powerful tool in various biomedical applications, including in vivo imaging, diagnostics, and therapy, largely due to the development of near-infrared (NIR) active SERS substrates. This review provides a comprehensive overview of SERS-based applications in vivo, focusing on key aspects such as the design considerations for SERS nanoprobes and advancements in instrumentation. Topics covered include the development of NIR SERS substrates, Raman label compounds (RLCs), protective coatings, and the conjugation of bioligands for targeted imaging and therapy. The review also discusses microscope-based configurations such as scanning, widefield imaging, and fiber-optic setups. Recent advances in using SERS nanoprobes for in vivo sensing, diagnostics, biomolecule screening, multiplex imaging, intraoperative guidance, and multifunctional cancer therapy are highlighted. The review concludes by addressing challenges in the clinical translation of SERS nanoprobes and outlines future directions, emphasizing opportunities for advancing biomedical research and clinical applications. Nanotechnology ; Raman scattering ; Materials science ; Multiplex ; Instrumentation (computer programming) ; Molecular imaging ; Preclinical imaging ; Computer science ; In vivo ; Raman spectroscopy ; Optics ; Bioinformatics ; Physics Gold and Silver Nanoparticles Synthesis and Applications ; Nanoplatforms for cancer theranostics ; Advanced Nanomaterials in Catalysis
Authors: J. Venturini | Abhijit Chakraborty | Mehmet A. Baysal | Apostolia M. Tsimberidou
Source: Experimental Hematology and Oncology (review, 2025-05-19)
Field: Materials Science — Biomaterials

Developments in nanotechnology approaches for the treatment of solid tumors Nanotechnology has revolutionized cancer therapy by introducing advanced drug delivery systems that enhance therapeutic efficacy while reducing adverse effects. By leveraging various nanoparticle platforms-including liposomes, polymeric nanoparticles, and inorganic nanoparticles-researchers have improved drug solubility, stability, and bioavailability. Additionally, new nanodevices are being engineered to respond to specific physiological conditions like temperature and pH variations, enabling controlled drug release and optimizing therapeutic outcomes. Beyond drug delivery, nanotechnology plays a crucial role in the theranostic field due to the functionalization of specific materials that combine tumor detection and targeted treatment features. This review analyzes the clinical impact of nanotechnology, spanning from early-phase trials to pivotal phase 3 studies that have obtained regulatory approval, while also offering a critical perspective on the preclinical domain and its translational potential for future human applications. Despite significant progress, greater attention must be placed on key challenges, such as biocompatibility barriers and the lack of regulatory standardization, to ensure the successful translation of nanomedicine into routine clinical practice. Nanomedicine ; Nanotechnology ; Drug delivery ; Cancer therapy ; Clinical Practice ; Materials science ; Medicine ; Nanoparticle ; Cancer Nanoparticle-Based Drug Delivery ; Nanoplatforms for cancer theranostics ; Graphene and Nanomaterials Applications
Authors: Hanxu Ma | Yanjun Chen | Shunda Qiao | Ying He | Yufei Ma
Source: Photoacoustics (article, 2025-01-06)
Field: Chemistry — Spectroscopy

A high sensitive methane QEPAS sensor based on self-designed trapezoidal-head quartz tuning fork and high power diode laser A high sensitive methane (CH<sub>4</sub>) sensor based on quartz-enhanced photoacoustic spectroscopy (QEPAS) using self-designed trapezoidal-head quartz tuning fork (QTF) and high power diode laser is reported for the first time in this paper. The trapezoidal-head QTF with low resonant frequency (<i>f</i> <sub><i>0</i></sub> ) of ∼ 9 kHz, serves as the detection element, enabling longer energy accumulation times. A diode laser with an output power of 10 mW is utilized as the excitation source. A Raman fiber amplifier (RFA) is employed to boost the diode laser power to 300 mW to increase the excitation intensity. Acoustic micro-resonators (AmRs) are designed and placed on both sides of the QTF to form an acoustic standing wave cavity, which increases the acoustic wave intensity and enhances the vibration amplitude of the QTF. Additionally, the long-term stability is analyzed by Allan deviation analysis. When the average time of the sensor system is increased to 150 s, the minimum detection limit (MDL) of the CH<sub>4</sub>-QEPAS sensor system can be improved to 15.5 ppb. Materials science ; Diode ; Optoelectronics ; Quartz ; Laser ; Methane ; Power (physics) ; Head (geology) ; Tuning fork ; Optics ; Chemistry ; Physics ; Composite material ; Acoustics Spectroscopy and Laser Applications ; Atmospheric and Environmental Gas Dynamics ; Laser Design and Applications
Authors: Muhammad Sheraz | Sun Xiao | Adeena Siddiqui | Yongke Wang | Sihai Hu | Ran Sun
Source: Sensors (review, 2025-01-22)
Field: Materials Science — Biomaterials

Cellulose-Based Electrochemical Sensors Among the most promising areas of research, cellulose-based electrochemical sensors stand out for their intrinsic properties such as abundance, biocompatibility, and versatility. This review is concerned with the integration and application of cellulose-derived materials in electrochemical sensors, pointing out improvements in sensitivity, selectivity, stability, and functionality for a wide variety of applications. The most relevant developments on cellulose-based sensors have been concentrated on nanocellulose composite synthesis, advanced cellulose modification, and the successful embedding in wearable technologies, medical diagnostics, and environmental monitoring. Considering these, it is worth mentioning that significant challenges still need to be overcome regarding the scalability of production, selectivity improvement, and long-term stability under real operational conditions. Future research efforts will concern the union of cellulose-based sensors with the Internet of Things (IoT) and artificial intelligence (AI) toward wiser and more sustainable health and environmental solutions. Correspondingly, this work puts cellulose in the front line among the most perspective materials for enabling the development of eco-friendly and high-performance sensing technologies. Nanocellulose ; Cellulose ; Wearable computer ; Scalability ; Computer science ; Nanotechnology ; Process engineering ; Biochemical engineering ; Systems engineering ; Materials science ; Engineering ; Embedded system ; Chemical engineering Advanced Cellulose Research Studies ; Advanced Sensor and Energy Harvesting Materials ; Nanocomposite Films for Food Packaging
Authors: Lingjun Geng | Haifang Wang | Zhengtao Li | Jingcheng Huang | Xia Sun | Yemin Guo | Fangling Du
Source: Food Chemistry (review, 2025-06-11)
Field: Chemistry — Analytical Chemistry

Research progress on molecularly imprinted polymers (MIPs)-based sensors for the detection of organophosphorus pesticides Molecularly imprinted polymer ; Pesticide ; Chemistry ; Molecular imprinting ; Environmental chemistry ; Chromatography ; Polymer ; Nanotechnology ; Materials science ; Organic chemistry ; Selectivity ; Biology Analytical chemistry methods development ; Electrochemical sensors and biosensors ; Electrochemical Analysis and Applications
Authors: Zhujun Huang | Lili Ren
Source: Molecules (review, 2025-02-07)
Field: Materials Science — Materials Chemistry

Large Scale Synthesis of Carbon Dots and Their Applications: A Review Carbon dots (CDs), a versatile class of fluorescent carbon-based nanomaterials, have attracted widespread attention due to their exceptional optical properties, biocompatibility, and cost-effectiveness. Their applications span biomedicine, optoelectronics, and smart food packaging, yet large-scale synthesis remains a significant challenge. This review categorizes large-scale synthesis methods into liquid-phase (hydrothermal/solvothermal, microwave-assisted, magnetic hyperthermia, aldol condensation polymerization), gas-phase (plasma synthesis), solid-phase (pyrolysis, oxidation/carbonization, ball milling), and emerging techniques (microfluidic, ultrasonic, molten-salt). Notably, microwave-assisted and solid-state synthesis methods show promise for industrial production due to their scalability and efficiency. Despite these advances, challenges persist in optimizing synthesis reproducibility, reducing energy consumption, and developing purification methods and quality control strategies. Addressing these issues will be critical for transitioning CDs from laboratory research to real-world applications. Nanotechnology ; Materials science ; Nanomaterials ; Process engineering Carbon and Quantum Dots Applications ; Nanocluster Synthesis and Applications ; Graphene and Nanomaterials Applications
Authors: Weronika Gonciarz | Ewa Balcerczak | Marek Brzeziński | Agnieszka Jeleń | Agnieszka J. Pietrzyk‐Brzezinska | Vedha Hari B Narayanan | Magdalena Chmiela
Source: Journal of Biomedical Science (review, 2025-07-08)
Field: Materials Science — Biomaterials

Chitosan-based formulations for therapeutic applications. A recent overview Chitosan is a cationic natural polymer composed of glucosamine and N-acetylglucosamine residues that are held together by a glycosidic bond. Chitosan has many excellent properties, including physicochemical properties, i.e., stability in the natural environment, chelation of metal ions, high sorption properties, biological properties such as biocompatibility and biological activity, ecological properties resulting from biodegradability, and physiological properties, which include non-toxicity, and economic affordability, and is used in various biomedical and industrial applications. The presented article highlights recent developments in chitosan-based formulations for the treatment of bacteria, viruses, cancer, or gastroesophageal reflux disease. Moreover, chitosan-derived biomaterials can also be used in regenerative medicine or food packaging to prevent contamination by pathogenic microorganisms. In summary, this is a valuable compilation in this emerging field that focuses on the biomedical application of chitosan-based biomaterials. Chitosan ; Biocompatibility ; Nanotechnology ; Chemistry ; Glucosamine ; Materials science ; Organic chemistry Nanocomposite Films for Food Packaging ; Advanced Drug Delivery Systems ; Polymer Surface Interaction Studies
Authors: Subramanian Sakthinathan | Ganesh Abinaya Meenakshi | Sivaramakrishnan Vinothini | Chung‐Lun Yu | Ching‐Lung Chen | Te‐Wei Chiu | Naratip Vittayakorn
Source: Processes (review, 2025-02-19)
Field: Materials Science — Materials Chemistry

A Review of Thin-Film Growth, Properties, Applications, and Future Prospects This review article’s primary aim is to discuss different thin-film deposition technique methods and their important uses. The histories of thin-film technology, thin-film growth, thin-film classification, and thin-film preparation techniques are also covered in this review article. The preparation and characterization of functional thin films and nanostructured materials, as well as various devices based on these materials and recent developments are also focused on in this review. The properties of the materials and several thin-film deposition techniques are also covered in this article. This review article also discusses the classification and application of thin-film sensors. Furthermore, the formation of thin films and their physical properties are impacted by deposition conditions such as pH, temperature, deposition time, and deposition parameters, which are analyzed. This article discusses how a wide range of potential uses in structural, mechanical, and protective coatings; sensing; energy storage systems; catalysis; optoelectronics; and biomedicine are made possible by the special qualities of thin films and nanostructured materials, including their high surface area to volume ratio, structure, surface charge, anisotropic nature, and tunable functionalities. Materials science ; Nanotechnology ; Engineering physics ; Engineering ZnO doping and properties ; Electronic and Structural Properties of Oxides ; Semiconductor materials and devices
Authors: Jinzhe Zeng | Duo Zhang | Anyang Peng | Xiangyu Zhang | S Z He | Yan Wang | Xinzijian Liu | Hangrui Bi | Yifan Li | Chun Cai | Chengqian Zhang | Yiming Du | Jiaxin Zhu | Pinghui Mo | Zhengtao Huang | Qiyu Zeng | Shaochen Shi | Xuejian Qin | Zhaoxi Yu | Chenxing Luo | Ye Ding | Yun‐Pei Liu | Ruosong Shi | Zhenyu Wang | Sigbjørn Løland Bore | Junhan Chang | Zhe Deng | Zhaonan Ding | Siyuan Han | Wanrun Jiang | Guolin Ke | Zhaoqing Liu | Denghui Lu | Koki Muraoka | Hananeh Oliaei | Anurag Kumar Singh | Haohui Que | Weihong Xu | Zhangmancang Xu | Yong‐Bin Zhuang | Jiayu Dai | Timothy J. Giese | Weile Jia | Ben Bin Xu | Darrin M. York | Linfeng Zhang | Handong Wang
Source: Journal of Chemical Theory and Computation (article, 2025-05-02)
Field: Materials Science — Materials Chemistry

DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials In recent years, machine learning potentials (MLPs) have become indispensable tools in physics, chemistry, and materials science, driving the development of software packages for molecular dynamics (MD) simulations and related applications. These packages, typically built on specific machine learning frameworks, such as TensorFlow, PyTorch, or JAX, face integration challenges when advanced applications demand communication across different frameworks. The previous TensorFlow-based implementation of the DeePMD-kit exemplified these limitations. In this work, we introduce DeePMD-kit version 3, a significant update featuring a multibackend framework that supports TensorFlow, PyTorch, JAX, and PaddlePaddle backends, and demonstrate the versatility of this architecture through the integration of other MLP packages and of differentiable molecular force fields. This architecture allows seamless back-end switching with minimal modifications, enabling users and developers to integrate DeePMD-kit with other packages using different machine learning frameworks. This innovation facilitates the development of more complex and interoperable workflows, paving the way for broader applications of MLPs in scientific research. Computer science ; Human–computer interaction ; Data science Machine Learning in Materials Science ; Computational Drug Discovery Methods ; Topic Modeling
Authors: Sunny Gupta | Jun‐Jie Zhang | Jincheng Lei | Henry Yu | Mingjie Liu | Xiaolong Zou | Boris I. Yakobson
Source: Chemical Reviews (review, 2025-01-02)
Field: Materials Science — Materials Chemistry

Two-Dimensional Transition Metal Dichalcogenides: A Theory and Simulation Perspective Two-dimensional transition metal dichalcogenides (2D TMDs) are a promising class of functional materials for fundamental physics explorations and applications in next-generation electronics, catalysis, quantum technologies, and energy-related fields. Theory and simulations have played a pivotal role in recent advancements, from understanding physical properties and discovering new materials to elucidating synthesis processes and designing novel devices. The key has been developments in <i>ab initio</i> theory, deep learning, molecular dynamics, high-throughput computations, and multiscale methods. This review focuses on how theory and simulations have contributed to recent progress in 2D TMDs research, particularly in understanding properties of twisted moiré-based TMDs, predicting exotic quantum phases in TMD monolayers and heterostructures, understanding nucleation and growth processes in TMD synthesis, and comprehending electron transport and characteristics of different contacts in potential devices based on TMD heterostructures. The notable achievements provided by theory and simulations are highlighted, along with the challenges that need to be addressed. Although 2D TMDs have demonstrated potential and prototype devices have been created, we conclude by highlighting research areas that demand the most attention and how theory and simulation might address them and aid in attaining the true potential of 2D TMDs toward commercial device realizations. Nanotechnology ; Heterojunction ; Electronics ; Perspective (graphical) ; Density functional theory ; Chemistry ; Computer science ; Engineering physics ; Physics ; Materials science ; Computational chemistry ; Quantum mechanics ; Artificial intelligence 2D Materials and Applications ; Graphene research and applications ; MXene and MAX Phase Materials
Authors: Bingqing Cheng
Source: npj Computational Materials (article, 2025-03-26)
Field: Materials Science — Materials Chemistry

Latent Ewald summation for machine learning of long-range interactions Abstract Machine learning interatomic potentials (MLIPs) often neglect long-range interactions, such as electrostatic and dispersion forces. In this work, we introduce a straightforward and efficient method to account for long-range interactions by learning a hidden variable from local atomic descriptors and applying an Ewald summation to this variable. We demonstrate that in systems including charged and polar molecular dimers, bulk water, and water-vapor interface, standard short-ranged MLIPs can lead to unphysical predictions even when employing message passing. The long-range models effectively eliminate these artifacts, with only about twice the computational cost of short-range MLIPs. Range (aeronautics) ; Ewald summation ; Artificial intelligence ; Computer science ; Machine learning ; Physics ; Materials science Machine Learning in Materials Science ; Computational Drug Discovery Methods ; Topic Modeling