jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Lisanne Buik | Carmen Rotondi
Source: Artnodes (article, 2025-09-22)
Field: Materials Science — Materials Chemistry

Designing with Intelligence. A gracious approach to AI-powered biodigital fabrication This paper examines the integration of artificial intelligence (AI) into biodigital fabrication, highlighting its potential to revolutionize material innovation through both creative and reflective functions. As a creative partner, AI enhances biodigital design by enabling generative algorithms, advanced simulations, and sensor-driven systems that cocreate with natural processes – optimizing material performance, reducing waste, and accelerating innovation across fields such as architecture, fashion, food and biomedicine. As a reflective tool, AI supports interdisciplinary coherence and ethical accountability by analyzing semantic patterns, mapping knowledge networks, and modelling long-term ecological and societal impacts. These capabilities allow AI to illuminate the flow of ideas across disciplines and support ongoing alignment with ethical and ecological values. Yet, AI also presents risks, including the erosion of human agency, amplification of systemic biases, and increasing fragmentation across sectors. To address this, this paper proposes the GRACE framework – Goal, Function, Resonance, Agency, Collaboration and Embodiment – as a guide for responsible and sustainable integration of AI in biodigital fabrication. The framework emphasizes aligning AI applications with regenerative, equitable and ecological principles. The paper aims to promote ethical and interdisciplinary AI-driven innovation that reimagines our relationship with materials and living systems. Future research should focus on operationalizing this framework and developing AI tools that uphold these values throughout the entire lifecycle of design and fabrication. Operationalization ; Accountability ; Generative grammar ; Coherence (philosophical gambling strategy) ; Sustainability ; Focus (optics) Machine Learning in Materials Science ; Additive Manufacturing and 3D Printing Technologies ; 3D Printing in Biomedical Research
Authors: Koné Mamadou Guy-Richard | Dembélé Georges Stéphane | Ouattara Bafétigué | Karamanis Panaghiotis | Nahossé Ziao
Source: Computational Molecular Bioscience (article, 2025-01-01)
Field: Chemistry — Organic Chemistry

Nematocidal Activities of Protonated Benzimidazolyl Chalcone Using Quantitative Structure-Activity Relationship Benzimidazolyl-Chalcones (BZCs) possess nitrogen heteroatoms making them very active molecules when protonated. In this work we will focus on a series of fourteen (14) substituted BZC molecules. These molecules have been synthesised, characterised and tested for their nematocidal activities. By implementing quantum chemical methods, including density functional theory (DFT) at the MPW1PW91/6-311+G (d, p) level, we can achieve accurate predictions of molecular properties. A QSAR study is conducted to determine a quantitative relationship between nematocidal activity and property information of the BZC compound series. The quantum descriptors namely dipole moment (µ), energy gap (ΔE) and mean valence angle (θNsp), are all obtained by protonation on the sp2 nitrogen, the preferred site of protonation in BZCs. These descriptors are the explanatory and predictive parameters of the nematocidal activity of the studied molecules. This study was conducted using the principal component analysis (PCA), the Multiple Linear Regression (MLR) and the non-linear regression (MNLR) methods. The quantitative models were proposed and the nematocidal activity of BZCs was interpreted based on multivariate statistical analysis. This study shows that PCA, MLR and NMR were used to predict the activities, but compared to the statistical indicators of NMR, we realised that the predictions fulfilled by the latter were more effective. The obtained results suggest that the combination of the proposed descriptors (µ, ΔE, θNsp) could be useful to predict the nematocidal activity of Benz imidazolyl-Chalcones. Chalcone ; Chemistry ; Quantitative structure–activity relationship ; Protonation ; Benzimidazole ; Stereochemistry ; Organic chemistry Synthesis and biological activity ; Insect and Pesticide Research ; Sulfur-Based Synthesis Techniques
Authors: Wenbo Zhu | Kaulya Pathiraja | Xuhong Guo | Baojun Hui | Mingli Fu | Linjie Zhao | Yuhuai Wang | Jin Li
Source: Energies (article, 2025-07-16)
Field: Materials Science — Materials Chemistry

Electrical–Thermal Aging Performance of PAH-Modified Interfacial Coating Agent for HVDC Cable Accessory A novel interfacial coating agent was developed by modifying silicone oil with polycyclic aromatic hydrocarbons (PAHs) to enhance the insulation performance of HVDC cable accessories. This study investigates the effects of corona and hot–cold cycle aging on the DC breakdown characteristics of the Cross-Linked Poly Ethylene and Ethylene Propylene Diene Monomer (XLPE/EPDM) interface. Interfacial breakdown tests, infrared spectroscopy, and a microstructural analysis were employed to investigate aging mechanisms. The results show that PAH-modified silicone oil significantly increases the breakdown voltage, with 2,4-dihydroxybenzophenone (C13H10O3) identified as the optimal additive via quantum chemical calculations (QCCs). Even after aging, the modified interface maintains its superior performance, confirming the long-term reliability of the coating. Coating ; Materials science ; Thermal ; Composite material ; Electrical engineering ; Environmental science ; Engineering ; Physics ; Meteorology High voltage insulation and dielectric phenomena ; Thermal Analysis in Power Transmission ; Dielectric materials and actuators
Authors: Zhihua Chen | Weidong Liu | Yong Shu | Qiang Chen | Keqiang Wei
Source: Energies (article, 2025-11-19)
Field: Chemistry — Analytical Chemistry

The Complete Chain Management of Organochlorine in Crude Oil: Sources, Detection, Removal, and Low-Carbon Risk Control Strategies Organic chlorine (Org-Cl) in crude oil poses continuous operational and environmental risks during production, trading, and refining processes. This article reviews the management of Org-Cl from its origin assumptions to analysis and mitigation measures and proposes a practical closed-loop framework. Quantitative merit value indicators (typical detection limit/quantitative limit, accuracy, and repeatability) and greenness indicators are used to compare standard methods and advanced methods, and to guide the selection of applicable methods. Corresponding technical maturity levels (TRLs) are assigned to mitigation measures (protective beds/adsorption, HDC, and emerging electrochemical/photochemical routes). Technical economic indicators with reference values (relative capital expenditure/operating expenditure levels) are summarized to assist decision-making. The main findings are as follows: (i) Evidence of secondary formation of organic chlorine under distillation-related conditions still relies on the matrix and requires independent verification; (ii) MWDXRF can achieve rapid screening (usually only 5 to 10 min), while CIC/D5808 supports quality balance arbitration; (iii) adsorption can remove a considerable portion of organic chlorine in light fractions under laboratory conditions, while the survival ability of HDC related to crude oil depends on the durability of the catalyst and the tail gas treatment capacity; and (iv) minimum viable implementation (MVI) combined with online total-chlorine monitoring and a physical principle-based digital twin technology can provide auditable closed-loop control. The limitations of this review include partial reliance on laboratory-scale data, inconsistent reports among studies, and the lack of standardized public datasets for model benchmarking. Prioritization should be given to analysis quality control, process durability indicators, and data governance to achieve reliable digital deployment. Quality (philosophy) ; Risk management ; Control (management) ; Process (computing) ; Capital expenditure ; Capital cost ; Flexibility (engineering) ; Multiple-criteria decision analysis ; Prioritization Petroleum Processing and Analysis ; Industrial Gas Emission Control ; Advanced oxidation water treatment
Authors: Haoyang Yu | Zixuan Liu | Rui Hou | Zheng Zhang
Source: EPJ Applied Metamaterials (article, 2025-01-01)
Field: Materials Science — Electronic, Optical and Magnetic Materials

AI-driven approaches in electromagnetic metamaterials design and application: a review At present, the increasingly sophisticated functional demands for electromagnetic metamaterials pose significant challenges to conventional design approaches reliant on numerical simulation and empirical knowledge, particularly in terms of computational efficiency and design capability. The integration of artificial intelligence has revitalized metamaterials research, enabling rapid forward performance prediction from structural parameters, inverse design from target properties to structural configurations, as well as adaptive functional enhancement and physical mechanism interpretation. This review examines two dominant pathways in AI-assisted electromagnetic metamaterial design and application: forward prediction coupled with inverse design, and adaptive control integrated with physical insight. We summarize recent advances in deep learning and generative models that enhance design efficiency, generalization capability, and interpretability of AI-driven metamaterial models. Furthermore, we explore emerging trends and persistent challenges in developing intelligent, self-adaptive, and multiphysics-coupled metamaterial systems powered by artificial intelligence. Metamaterial ; Interpretability ; Generative Design ; Electromagnetics ; Inverse ; Design methods ; Generative grammar ; Mechanism (biology) Metamaterials and Metasurfaces Applications ; Acoustic Wave Phenomena Research ; Topology Optimization in Engineering
Authors: Soniya Sriram
Source: REST Journal on Advances in Mechanical Engineering (article, 2025-03-10)
Field: Materials Science — Polymers and Plastics

Utilization of Recycled Materials in the Production of Green Polymer Composites Using COPRAS Method Because it can lessen the environmental effects of traditional manufacturing techniques, the use of recycled resources in the creation of green polymer composites has attracted a lot of interest recently. In order to create ecologically friendly composites, this study investigates the viability and effectiveness of adding recycled materials to polymer matrices, such as waste fibers, recovered fillers, and post-consumer plastics. The viability of several recycling techniques, such as chemical, mechanical, and hybrid procedures, is assessed in order to turn recycled materials into composite components. Extensive research is conducted on the impact of recycled material on the mechanical, thermal, and morphological properties of green polymer composites. The findings underscore the potential and problems associated with attaining targeted performance attributes while upholding environmental sustainability. Additionally, the impact of processing variables and the degree of compatibility between recycled fillers and polymer matrices on the attributes of composites are examined. Overall, this work opens the door for the development of environmentally friendly and sustainable materials for a range of applications by shedding light on the possibility of using recycled resources in the creation of green polymer composites. Green composites are a particular kind of bio composites that are an emerging field in polymer science. They consist of natural fibers reinforcing a bio-based polymer matrix. The composites, which are commonly called "green," have a variety of industrial uses. However, there are certain issues, such decreased ductility and worse process ability. Many of these restrictions can be addressed with the use of adhesion boosters, additives, or chemical filler modification. Environmentally friendly ; Compatibility (geochemistry) ; Filler (materials) ; Polymer ; Composite number ; Sustainability ; Raw material ; Manufacturing process Natural Fiber Reinforced Composites ; Material Selection and Properties ; Electrospun Nanofibers in Biomedical Applications
Authors: Haoyang Yu | Zixuan Liu | Rui Hou | Zidong Zhang
Source: Springer Link (Chiba Institute of Technology) (article, 2025-12-22)
Field: Materials Science — Electronic, Optical and Magnetic Materials

AI-driven approaches in electromagnetic metamaterials design and application: a review At present, the increasingly sophisticated functional demands for electromagnetic metamaterials pose significant challenges to conventional design approaches reliant on numerical simulation and empirical knowledge, particularly in terms of computational efficiency and design capability. The integration of artificial intelligence has revitalized metamaterials research, enabling rapid forward performance prediction from structural parameters, inverse design from target properties to structural configurations, as well as adaptive functional enhancement and physical mechanism interpretation. This review examines two dominant pathways in AI-assisted electromagnetic metamaterial design and application: forward prediction coupled with inverse design, and adaptive control integrated with physical insight. We summarize recent advances in deep learning and generative models that enhance design efficiency, generalization capability, and interpretability of AI-driven metamaterial models. Furthermore, we explore emerging trends and persistent challenges in developing intelligent, self-adaptive, and multiphysics-coupled metamaterial systems powered by artificial intelligence. Metamaterial ; Interpretability ; Generative Design ; Electromagnetics ; Inverse ; Design methods ; Generative grammar ; Mechanism (biology) Metamaterials and Metasurfaces Applications ; Acoustic Wave Phenomena Research ; Topology Optimization in Engineering
Authors: Abdulrahman Babatunde Ameen | Adekola Folahan Amoo
Source: Journal of Mining and Geotechnical Engineering (article, 2025-12-10)
Field: Materials Science — Polymers and Plastics

"ENVIRONMENTAL ASSESSMENT OF HEAVY METALS, PHTHALATE ESTERS, AND POLYCHLORINATED BIPHENYLSAT WASTE DISPOSAL SITES" Municipal solid waste has been identified to be major source of persistent organic pollutants and heavy metals thereby constituting major environmental, social and economic problems worldwide, according to Department for Environment Food and Rural Affairs of Nigeria.Waste can be defined as any material lacking direct value to the producer and so must be disposed of or any material that is thrown away as unwanted materials (according to United Nations International Children's Emergency Fund).Similarly, it can be regarded as anything human beings consign to the garbage or dispose of in any manner.It consists of organic matters such as papers, rags, discarded packages, food, Solid scraps, garden refuse, inorganic materials such as worn-out appliances, junk automobiles, furniture, industrial Waste, debris of constructions, and mixed Waste as electronic and medical wastes.These wastes originated from various sources, including municipal, Industrial, Agricultural, wastewater treatment plants, and Institutional such as schools, hospitals, markets, and residential estates.The quantity of solid waste has increased significantly, and its character has changed due to accelerated urbanization, industrialization, and population growth in most cities of developing countries.Municipal Solid Waste collection and disposal are particularly problematic in growing country cities, unlike in developed countries where there are better management systems.Solid waste generation is related to economic growth but is more correlated to industrialization and population size.This article provides a detailed review of scientific and technical periodicals devoted to pollution from urban landfills. Phthalate ; Waste disposal ; Municipal solid waste ; Waste treatment ; Hazardous waste Polymer Science and PVC ; Microplastics and Plastic Pollution ; Toxic Organic Pollutants Impact
Authors: Weerasak Seelarat | Porramain Porjai | Sasamol Phasuk | Poonyanuch Nilsang
Source: Trends in Sciences (article, 2025-07-30)
Field: Materials Science — Biomaterials

Influence of Electric Potential on Dielectric Barrier Discharge (DBD) Cold Plasma Treatment and Its Effect on the Affinity of Leaf Printing on Cotton Fabric This research aimed to develop a fabric printing process that utilizes natural dyes in combination with dielectric barrier discharge (DBD) plasma treatment. The study focused on determining the optimal electric potential for plasma treatment of cotton fabric and implementing eco-printing by transferring leaf pigments onto the fabric through heat transfer. Four types of leaves used for cotton fabric printing include Teak leaves (Tectona grandis Linn. f.), Indian trumpet flower leaves (Oroxylum indicum L. Kurz), Castor Bean leaves (Ricinus communis L.), and Bellyache bush leaves (Jatropha gossypifolia L.). Cotton fabric was subjected to DBD cold plasma treatment at 500, 1,000, 1,500, and 2,000 V, respectively, prior to leaf printing. The highest absorption coefficient and scattering coefficient (K/S) values were obtained from each printed leaf. The results revealed that high-voltage plasma treatment leads to a high K/S. These findings confirm that cold plasma has altered the physical structure of the cotton fibers, facilitating improved dye penetration into the fabric. Scanning Electron Microscope (SEM) images showed that untreated cotton fibers appeared smooth, round, and undamaged, while plasma-treated fibers exhibited rough, flattened, and fractured surfaces. However, the results concerning color fastness properties, including rub, light, and wash fastness, indicated that the color tends to fade and wash out easily. The optimal electrical potential for plasma treatment was 1,000 V, resulting in the cotton fibers absorbing the highest color intensity. This voltage also maintained favorable mechanical characteristics, with warp and weft tensile strengths of 500 and 360 N, respectively, and elongation values of 15.4 and 17.6%. HIGHLIGHTS Dielectric Barrier Discharge (DBD) Plasma enhances surface properties without damaging the material’s core structure and is an environmentally friendly process. The use of (DBD) Plasma with Eco Print is an innovative approach that enhances fabric properties, improving its ability to absorb plant-based dyes more effectively. The selection of the appropriate electric potential (Voltage) for using DBD Plasma with cotton fabric. GRAPHICAL ABSTRACT Ultimate tensile strength ; Dielectric ; Penetration (warfare) ; Scanning electron microscope ; Plasma ; Elongation ; Dielectric barrier discharge ; High voltage Advanced Cellulose Research Studies ; Dyeing and Modifying Textile Fibers ; Plant Surface Properties and Treatments
Authors: Volodymyr Kozyrskyi | V. Bunko
Source: Problems of the Regional Energetics (article, 2025-08-01)
Field: Materials Science — Materials Chemistry

Experimental Studies of Elements from the Functional Intermetallic Cu-Al-Mn for Construction of a Heat Engine and Power Plant The main objectives of the work are to study the thermomechanical characteristics and establish the patterns of reactive force generation by elements made of functional Cu-Al-Mn intermetallic compounds for their further use in heat engines of electrical power generation plants. The objectives were achieved using a test setup with control and measuring instruments to determine the thermomechanical characteristics of elements made of functional intermetallic compounds with different geometric and physical parameters, and by plotting the force-temperature curves. Based on the results of experimental studies, thermomechanical characteristics (dependencies of the reactive force developed by thermosensitive elements on their heating temperature) were constructed, and specific indicators of reactive force generation relative to the mass of thermosensitive elements were determined. It was established that samples at a heating temperature of +90...+100 °C restore their initial shape (after preliminary deformation) in 0.15 s. The specific indicator of reactive force generation relative to the unit mass of thermosensitive elements was determined to be – 0.97 W/g. The significance of the results obtained lies in the fact that the results of experimental studies and the established regularities will be used as a basis for the creation of a heat engine and, on its basis, an electrical installation for the generation of electrical energy operating with low-potential sources of thermal energy – secondary heat energy from technological cycles, water reservoirs of thermal and nuclear power plants, as well as thermal sources. Intermetallic ; Metallurgy ; Power (physics) ; Materials science ; Nuclear engineering ; Engineering ; Physics ; Thermodynamics Metallurgy and Material Science ; Metallurgical and Alloy Processes
Authors: Marcella Lennie Michael | M. Z. H. Makmud | Zuhair Jamain | K. N. M. Amin | H. A. Illias | S. Z. Dabbak
Source: International Journal of Basic and Applied Sciences (article, 2025-12-31)
Field: Materials Science — Materials Chemistry

Effect of Nanocellulose Reinforcement on The Structural,Dielectric, and Electrical Breakdown of Epoxy Nanocomposites This study investigates the influence of nanocellulose (NC) on the dielectric and ‎electric field properties of epoxy-based nanocomposites for high-voltage insulation ‎applications. Two types of NC, cellulose nanocrystals (CNC) and cellulose ‎nanofibers (CNF), were incorporated into an epoxy matrix at loadings of 0.5–5.0 ‎wt.%. Morphological analysis by scanning electron microscopy revealed uniform ‎dispersion at low concentrations and increasing agglomeration at higher loadings, ‎particularly in CNF due to its fibrous structure. Electrochemical impedance ‎spectroscopy showed that composites containing 1.0 wt.% CNC and 0.5 wt.% CNF ‎achieved optimal dielectric performance, with reduced relative permittivity (εᵣ ≈ 5.07 ‎for CNC and 5.57 for CNF), suppressed conductivity, and stable capacitive ‎behaviour. COMSOL simulations supported these findings, demonstrating reduced ‎peak electric field intensity (25.8 MV/m) at optimal loadings, indicating improved ‎field uniformity. Breakdown strength tests further confirmed the trend, with CNC ‎at 1.0 wt.% exhibiting 57.9 kV/mm (39% higher than neat epoxy) and CNF at 0.5 ‎wt.% showing 46.7 kV/mm (12% higher than neat epoxy). At higher loadings, ‎aggregation increased permittivity, field crowding, and dielectric loss, leading to ‎reduced insulation performance. Overall, CNC provided broader reinforcement ‎potential than CNF, highlighting nanocellulose as a promising sustainable filler for ‎high-performance epoxy insulation‎. Nanocellulose ; Epoxy ; Nanocomposite ; Cellulose ; Dielectric ; Dielectric strength ; Dielectric spectroscopy ; Permittivity ; Relative permittivity High voltage insulation and dielectric phenomena ; Advanced Cellulose Research Studies ; Power Transformer Diagnostics and Insulation