jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Vaibhav D. Kalambe | Manohar S. Ambatkar
Source:  (review, 2025-04-30)
Field: Materials Science — Biomaterials

A Comprehensive Review on the Role of Collagen in Health, Disease, and Biomaterials: Advances, Challenges, and Future Perspectives ABSTRACT Collagen, a fundamental structural protein in the extracellular matrix (ECM), plays a critical role in tissue engineering, regenerative medicine, and biomaterial development. It is involved in various biological functions, including wound healing, musculoskeletal health, cardiovascular integrity, and cancer progression. Due to concerns related to disease transmission, ethical considerations, and religious constraints associated with mammalian collagen sources, marine-derived collagen (MDC), particularly from fish skin and scales, has emerged as a promising and sustainable alternative. MDC exhibits superior biocompatibility, biodegradability, and low immunogenicity, making it suitable for applications in wound healing, drug delivery, and tissue engineering. Various extraction techniques, including acid solubilization, enzymatic hydrolysis, and deep eutectic solvent extraction, ensure high purity and preserved bioactivity, while characterization methods such as FTIR, SEM, and XRD confirm its structural integrity. Additionally, MDC-based composite scaffolds and hydrogels enhance fibroblast proliferation, angiogenesis, and osteoblast differentiation, supporting regenerative medicine applications. In oncology, collagen remodeling has been linked to cancer metastasis, with metastatic cells exhibiting enhanced reorganization of type I collagen fibers, promoting invasiveness. Despite these advantages, challenges such as collagen quality inconsistencies, mechanical strength limitations, and the need for extensive in vivo studies remain. Future research should focus on optimizing extraction techniques, improving mechanical stability through cross-linking strategies, and integrating emerging technologies such as 3D collagen-based scaffolds, CRISPR-mediated genetic modifications, and AI-driven molecular modeling. With continued advancements, MDC holds significant potential as a sustainable and effective biomaterial for biomedical, clinical, and industrial applications. Keywords: Collagen, Marine-Derived Collagen (MDC), Tissue Engineering, Regenerative Medicine, Wound Healing, Biomaterials, Drug Delivery, Cancer Metastasis, Extracellular Matrix (ECM), 3D Scaffolds, CRISPR, AI-Driven Molecular Modeling, Biocompatibility, Biodegradability, Sustainable Biomaterials Engineering ethics ; Medicine ; Engineering Collagen: Extraction and Characterization
Authors: Magaly De La Cruz-Noriega | Renny Nazario-Naveda | Santiago M. Benites | Daniel Delfín-Narciso
Source:  (article, 2025-12-10)
Field: Materials Science — Materials Chemistry

Bibliometric Trends in Green Nano Microbiology for Advanced Materials in Water Purification: A Sustainable Approach Water pollution is a global issue that threatens human health and ecosystems, driving the need for advanced purification technologies. Traditional methods face limitations in cost and efficiency, prompting the emergence of green nanomicrobiology as a sustainable alternative. This interdisciplinary approach integrates nanotechnology and microbiology to develop advanced materials capable of eliminating contaminants. To assess scientific advancements in this field, a bibliometric analysis was conducted based on publications indexed in Scopus, utilizing tools such as VOSviewer 1.6.20 and RStudio 2025.09 to identify trends, institutional collaborations, and development patterns. The findings reveal a significant increase in scientific output between 2010 and 2025, with growing research on nanocomposites, adsorption processes, and hybrid microbiological systems. Notably, metallic nanoparticles and functionalized biopolymers, such as modified bacterial cellulose, demonstrate high efficiency in removing heavy metals and toxic residues. The study also highlights China’s pivotal role in scientific collaboration, with an expanding network of partnerships. Despite these advancements, challenges remain regarding industrial scalability, long-term toxicity, and regulatory frameworks. Integrating artificial intelligence and metagenomics could enhance these systems, strengthening their impact on water sustainability. Metagenomics ; Sustainability ; Human health ; Sustainable development ; Societal impact of nanotechnology ; Environmental pollution Nanoparticles: synthesis and applications ; Diatoms and Algae Research ; Microbial Fuel Cells and Bioremediation
Authors: Jerome Workman
Source: Spectroscopy (article, 2025-09-16)
Field: Chemistry — Analytical Chemistry

Data Fusion in Action: Integrating Different Vibrational and Atomic Spectroscopy Data Spectroscopy is a cornerstone of chemical and biological analysis, yet no single technique can fully capture the complex composition of real-world samples. Combining data from different vibrational and atomic spectroscopies provides enhanced chemical specificity, quantitative robustness, and interpretability. This tutorial introduces three major categories of multimodal data fusion: early fusion (concatenation of raw or preprocessed features), intermediate fusion (shared latent space models such as partial least squares or canonical correlation analysis), and late fusion (decision-level combination of independent models). Matrix notation is employed to formalize fusion strategies and highlight the mathematical relationships among datasets. Finally, challenges and future directions in physical interpretability, nonlinear fusion, and explainable artificial intelligence are discussed. Using a matrix-based framework, we highlight challenges in alignment, scaling, redundancy, and interpretation, and provide examples of how fusion strategies can enhance chemical analysis and diagnostics. Fusion ; Sensor fusion ; Notation ; Raw data ; Matrix (chemical analysis) ; Space (punctuation) ; Canonical correlation ; Spectroscopy Spectroscopy and Chemometric Analyses ; Spectroscopy Techniques in Biomedical and Chemical Research ; Mineral Processing and Grinding
Authors: Tohidi, Hamid
Source:  (article, 2025-01-15)
Field: Materials Science — Biomaterials

Advances in Smart Polymer and Nanomaterial-Based Packaging Systems: From Functional Films to Intelligent Food and Pharmaceutical Applications This literature review provides an integrated examination of recent progress in smart polymer and nanomaterial‑based packaging technologies, focusing on enhanced functional performance, real‑time quality monitoring, and data‑driven evaluation frameworks. Nanocomposite materials containing graphene derivatives, metallic nanoparticles, nanoclays, and bio‑based reinforcements significantly strengthen mechanical properties, improve antimicrobial protection, and reduce oxygen and moisture permeability. These enhancements enable active packaging systems that effectively extend shelf life for food and pharmaceutical products. Intelligent packaging innovations—including colorimetric freshness indicators, optical and electrochemical nanosensors, RFID/NFC components, blockchain‑enabled traceability networks, and printed electronic circuits—support continuous monitoring of spoilage markers, chemical degradation, temperature fluctuations, and logistical conditions across supply chains. Furthermore, multi‑criteria decision‑making (MCDM) models such as PROAFTN, TOPSIS, fuzzy‑AHP, and AI‑enhanced optimization provide structured methods for selecting optimal packaging solutions when dealing with uncertainty, complex performance trade‑offs, and sustainability constraints. Across the reviewed literature, a consistent trend emerges: the convergence of nanotechnology, smart sensing mechanisms, environmental sustainability goals, and advanced analytical modeling is driving the evolution of next‑generation packaging systems that are more protective, transparent, intelligent, and environmentally responsible. Active packaging ; Traceability ; Food spoilage ; Food packaging ; Sustainability ; Shelf life ; Electronics Nanocomposite Films for Food Packaging ; Postharvest Quality and Shelf Life Management ; Advanced Cellulose Research Studies
Authors: Zoe Templin | Ying Zhi Seah | Kuan Yew Cheong | Feng Zhao
Source: ECS Meeting Abstracts (article, 2025-07-11)
Field: Materials Science — Materials Chemistry

Investigation of Drying Conditions on Natural Organic Honey-Based Dielectric Film and Non-Volatile Resistive Switching Memory Devices Neuromorphic computing has emerged as a potential alternative for more energy-efficient operations especially in large data-processing tasks such as artificial intelligence. This brain-inspired computing needs hardware components that are capable of emulating biological neurons and synapses with the ability to store and process information at the same node. Resistive switching random access memory (ReRAM) technology has been considered suitable due to tunable conductivity, additionally with low-cost manufacturing, energy efficiency, and a simple structure that mirrors biological synapses, in which the top electrode synonymous to the pre-synapse, bottom electrode to the post-synapse, and the dielectric in between similar to the synaptic cleft where the changes in synaptic plasticity takes place. Honey, a carbohydrate material and natural preservative, has additional benefits including being non-toxic, sustainable, biodegradable, and supporting device longevity, when it is used as the active resistive switching dielectric of a ReRAM device. It has been reported that dried honey film demonstrates non-volatile memory characteristics. However, so far there was no study on the physical and chemical properties of the honey thin film when subjected to heat, and their correlation with resistive switching characteristics of the resulted honey-ReRAM device. In this work, physical and chemical properties of honey film processed by different baking temperatures and duration are systematically investigated, and their effects on resistive switching characteristics of the final honey ReRAM devices are examined. The understanding achieved in this study on the fabrication parameters especially critical drying conditions for honey resistive film and memory devices would be insightful to further the device development. Materials science ; Dielectric ; Resistive touchscreen ; Optoelectronics ; Composite material ; Electrical engineering ; Engineering Phase-change materials and chalcogenides ; Advanced Chemical Sensor Technologies
Authors: Jiahui Yang | Chunmiao Cui | Chenglong Xia | Bingyang Zeng | Bing Zhao | Yisha Zhang | Jie Li | Xiaoguang Liu | Ling Li
Source: Journal of Electronic Materials (article, 2025-10-04)
Field: Materials Science — Materials Chemistry

Photoluminescence Simulation of RbBaPO4 Doped with Sm3+, Eu3+, and Eu2+ in the Age of Big Data Photoluminescence ; Dopant ; Luminescence ; Doping ; Ion ; Gaussian ; Lattice (music) Luminescence Properties of Advanced Materials ; Radiation Detection and Scintillator Technologies ; Perovskite Materials and Applications
Authors: Zijun Xu | Zhe Wu | Philippe Poulin | Yilin Wang | Zhengbo Liu | SM Ng | Guoyang Lu
Source: Cleaner Materials (article, 2025-12-05)
Field: Materials Science — Materials Chemistry

A state-of-the-art review on carbon-based nanomaterials for engineering applications Without a comprehensive examination of the available literature on carbon-based nanomaterials (CBNs) across various engineering contexts and dimensions, the field is left vulnerable to a disproportionate focus on specific application requirements or conditions, curtailing the ability to leverage the multifunctionality and interdisciplinary advantages of CBNs. Carbon-based nanocomposites serve as a pivotal conduit for the extensive utilization of CBNs. Their functional performance is commonly tailored through approaches such as functional modification, doping, interface engineering, and multiscale structural design. A systematic discussion is presented on the current design strategies of nanocomposites incorporating carbon dots (CDs), carbon nanotubes (CNTs), and graphene-based nanomaterials (GBNs). Representative cases illustrate their significant engineering application potential in five rapidly evolving and highly active fields: electronic devices, energy storage, civil engineering, water treatment, and biomedical engineering. This review provides a comprehensive overview of recent advances in CBNs, emphasizing key applications, ongoing challenges, and emerging research opportunities across diverse domains. Interdisciplinary collaboration is poised to further drive innovation, particularly in areas such as energy storage, structural health monitoring, and biosensing. Future advancements are expected to focus on advanced material design, sustainable and scalable fabrication, intelligent optimization using artificial intelligence, interdisciplinary collaboration, and systematic validation to overcome challenges in synthesis, performance, commercialization, and integration. These insights collectively underscore the pivotal role of CBNs in shaping multifunctional, cross-cutting solutions for next-generation engineering systems. Leverage (statistics) ; Interface (matter) ; Sustainability ; Grand Challenges ; Emerging technologies ; Special section ; Field (mathematics) Carbon and Quantum Dots Applications ; Supercapacitor Materials and Fabrication ; Carbon Nanotubes in Composites
Authors: Ce Li
Source: Theoretical and Natural Science (article, 2025-07-20)
Field: Materials Science — Materials Chemistry

Phonon-based Thermal Boundary Resistance Models for Micro- and Nanoscale Devices Micro and nano-semiconductor devices are increasingly crucial in multiple fields such as information technology and artificial intelligence. However, as the volume of transistors decreases and their density increases, local heat accumulation occurring in devices due to the Joule heating effect seriously affects their service life and performance. Therefore, thermal management of devices has become more and more important. As a key factor limiting heat dissipation, thermal boundary resistance (TBR) is particularly significant in nanoscale devices, accounting for over 50% of the total thermal resistance. The theoretical models of thermal boundary resistance can not only help accurately predict the thermal boundary resistance but also effectively understand its influence mechanism. This paper selects and introduces some typical classic theoretical models, elaborates on their characteristics and limitations, summarizes various influencing factors of thermal boundary resistance and provides an outlook on the future research of thermal boundary resistance. Nanoscopic scale ; Interfacial thermal resistance ; Phonon ; Materials science ; Thermal ; Thermal resistance ; Boundary (topology) ; Nanotechnology ; Engineering physics ; Optoelectronics ; Condensed matter physics ; Physics ; Thermodynamics ; Mathematics Thermal properties of materials ; Advancements in Semiconductor Devices and Circuit Design ; Advanced Thermoelectric Materials and Devices
Authors: Meldrick Reimmer | Hermine Chatoux | Olivier Aubreton
Source:  (article, 2025-08-15)
Field: Chemistry — Analytical Chemistry

Spectral learning-based artificial vision for quality control Artificial intelligence (AI) is increasingly employed in quality control (QC), yet acquiring sufficient and diverse training data in industrial environments remains a persistent challenge. To address this, we propose a novel approach using synthetic multispectral metrology images to efficiently train classification models for integration into in-line artificial vision systems. By exploiting material-specific spectral signatures, we constructed a comprehensive dataset comprising both real and physically accurate synthetic images that incorporate essential material properties. We trained and optimized CNN, SVM, KNN, and Random Forest classifiers using grid search and cross-validation. Performance evaluation based on precision, recall, and ROC AUC demonstrated that models trained on synthetic data consistently outperformed those trained solely on real images. These findings underscore the potential of spectral imaging and physics-based synthetic data to enhance automated material classification in industrial QC systems. Computer science ; Quality (philosophy) ; Artificial intelligence ; Control (management) ; Computer vision ; Machine vision Spectroscopy and Chemometric Analyses ; Industrial Vision Systems and Defect Detection ; Remote-Sensing Image Classification
Authors: Pavlína Andrýsková | Robert Prucek
Source: Nanoscale (article, 2025-10-27)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Multimetallic nanostructures: innovations and applications in environmental remediation, biosensing, and medical technologies Multimetallic nanostructures (MNs) have emerged as versatile materials with significant potential in various applications, including environmental remediation, biosensing, and medical technologies. Their unique electronic, catalytic, and optical properties make them effective for pollutant removal, sensitive detection of biomarkers, and targeted drug delivery. This article reviews the diverse applications of MNs, focusing on their role in degrading environmental pollutants such as pharmaceuticals, organic dyes, pesticides, and heavy metals, through mechanisms like photocatalysis, reduction-oxidation, and adsorption. In biosensing, MNs enhance the performance of sensors by improving electrocatalytic activity, optical detection, and magnetic separation, while also enabling the development of artificial enzymes (nanozymes). In medicine, MNs are utilized in targeted cancer therapy, antimicrobial treatments, and early detection of diseases, with potential for multimodal therapy combining radiotherapy, photothermal therapy, and chemodynamic therapy. Despite their promise, challenges remain in the stability, selectivity, and biocompatibility of MNs, as well as their scalability and integration into practical devices. The article also discusses the future directions for research, including the need for interdisciplinary approaches to optimize the design, synthesis, and application of MNs, and highlights the role of emerging technologies like artificial intelligence and mobile platforms in advancing their real-world use. Overall, multimetallic nanostructures represent a transformative technology with the potential to address critical environmental and health-related issues, offering sustainable solutions for the future. Transformative learning ; Emerging technologies ; Scalability ; Photothermal therapy ; Sustainability ; Flexibility (engineering) Gold and Silver Nanoparticles Synthesis and Applications
Authors: Yunfei Lu | X.P. Li | Zhiwei Xu
Source: Smart Materials and Structures (article, 2025-06-26)
Field: Materials Science — Materials Chemistry

A general and efficient modified model for single- and polycrystalline shape memory alloy wires Abstract Shape memory alloy (SMA) wires exhibit complex phase transformation behaviors that are challenging to capture with both physical interpretability and computational efficiency. In this paper, a modified model that integrates the accuracy of the M–A–S model with the computational efficiency of the hybrid dynamical model is proposed. The resulting framework describes the thermomechanical characteristics of single-crystal SMA wires while enabling fast numerical simulation. To address the added complexity of polycrystalline behavior, we further introduce a data-driven transformation stress modeling scheme based on nonlinear auto regressive networks with exogenous inputs. With this model, the emergent behavior of polycrystalline SMA wires can be represented accurately and efficiently. Validation is performed through a simulation of a quasi-plastic NiTi wire and an experimental analysis of a superelastic wire, both of which demonstrate the model’s remarkable accuracy in obtaining the transformation dynamics under practical actuation conditions. These results show the suitability of the proposed framework for real-time simulation and model-based control for SMA systems. Shape-memory alloy ; Crystallite ; Alloy ; Materials science ; Composite material ; Structural engineering ; Metallurgy ; Engineering Shape Memory Alloy Transformations
Authors: Raffaele Pugliese | Mushtaq Alam Madar Saheb | Stefano Cantella | Silvia Badini | Carlotta Bollati | Carmen Lammi | Serena Graziosi
Source: Materials & Design (article, 2025-12-29)
Field: Materials Science — Biomaterials

Upcycling potential of the material extrusion process: a focus on the fused deposition modeling and beyond This study reviews the transformability potential of the Material Extrusion (MEX) process as a possible contributor to circular manufacturing by facilitating plastic upcycling and biomass valorization. MEX makes the use of recycled thermoplastics as feedstock and their blending with reinforcement or functionalizing fillers feasible, opening ground-breaking routes to the development of sustainable composite materials. Biomass waste, as filler, can reinforce the thermoplastic matrix but also provide antibacterial, regenerative, and wound-healing properties to the composites. Examples of already developed materials, potential applications, and a focus on four thermoplastic materials (i.e., Polylactic Acid - PLA, Polyhydroxyalkanoates - PHAs, Polycaprolactone PCL, and Polyvinyl alcohol - PVA) are provided. The discussion focuses on the Fused Deposition Modeling technique and includes the Fused Granulate Fabrication technique. The challenges persisting in material design, fabrication, and printing, limiting functionality and performance, are highlighted to stimulate further research into optimizing all steps of the upcycling process. The contribution of Artificial Intelligence (AI) in pursuing this target, by supporting MEX-related workflows, from optimizing printing parameters and predicting material performance to enhancing the reliability of recycled feedstocks and enabling more effective circular material cycles, is also analyzed. Raw material ; Polylactic acid ; Extrusion ; Thermoplastic ; Fused deposition modeling ; Limiting ; Deposition (geology) ; Process (computing) ; Composite number biodegradable polymer synthesis and properties ; Additive Manufacturing and 3D Printing Technologies ; Polymer crystallization and properties
Authors: Ze Li | Zhibo Zhang | Dongpei Zhang | Xin Zhou | Tao Liu | Yi Wang | Xiaoliang Huang | Hongchang Duan | Hao Yan | Yibin Liu | Xiaobo Chen | Chaohe Yang
Source: Chemical Engineering Journal (article, 2025-09-23)
Field: Chemistry — Analytical Chemistry

Molecular-level kinetic simulation and analysis of shale oil catalytic pyrolysis for olefin production Shale oil ; Catalysis ; Product distribution ; Pyrolysis ; Olefin fiber ; Reaction rate ; Hydrocarbon ; Oil shale Petroleum Processing and Analysis ; Zeolite Catalysis and Synthesis ; Catalysis and Hydrodesulfurization Studies
Authors: Yunling Shao | Miao Wang | Yongxin She | Zhen Cao | Fen Jin | Maojun Jin | Jing Wang | A.M. Abd El‐Aty
Source: Trends in Environmental Analytical Chemistry (article, 2025-11-28)
Field: Chemistry — Spectroscopy

Peptide screening, design, and application for detecting small-molecule contaminants in food Peptide ; Food safety ; Contamination ; Consumer safety ; Bridging (networking) ; Protein detection Advanced Proteomics Techniques and Applications ; Mycotoxins in Agriculture and Food ; Identification and Quantification in Food