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Hybrid materials have been studied because in these materials the properties of organic components, such as elasticity and biodegradability, could be combined with the properties of inorganic components, such as good biological response, thereby transforming them into a single material with improved properties. In this work, Class I hybrid materials based on polyester-urea-urethanes and titania were obtained using the modified sol-gel method. This was corroborated using the FT-IR and Raman techniques which highlighted the formation of hydrogen bonds and the presence of Ti-OH groups in the hybrid materials. In addition, the mechanical and thermal properties and degradability were measured using techniques, such as Vickers hardness, TGA, DSC, and hydrolytic degradation; these properties could be tailored according to hybridization between both organic and inorganic components. The results show that Vickers hardness increased by 20% in hybrid materials as compared to polymers; also, the surface hydrophilicity increases in the hybrid materials, improving their cell viability. Furthermore, cytotoxicity in vitro test was carried out using osteoblast cells for intended biomedical applications and they showed non-cytotoxic behavior.
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http://dx.doi.org/10.3390/polym15102299 | DOI Listing |
Phys Rev Lett
August 2025
University of Augsburg, Experimental Physics VI, Center for Electronic Correlations and Magnetism, 86159 Augsburg, Germany.
Magnon-phonon hybridization in ordered materials is a crucial phenomenon with significant implications for spintronics, magnonics, and quantum materials research. We present direct experimental evidence and theoretical insights into magnon-phonon coupling in Mn_{3}Ge, a kagome antiferromagnet with noncollinear spin order. Using inelastic x-ray scattering and ab initio modeling, we uncover strong hybridization between planar spin fluctuations and transverse optical phonons, resulting in a large hybridization gap of ∼2 meV.
View Article and Find Full Text PDFPhys Rev Lett
August 2025
Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, Anhui 230026, China.
We demonstrate a class of Co and CoPc molecular Kondo boxes on the Au(111) surface through scanning tunneling microscopy experiments and first-principles calculations. The π-electron states of the CoPc molecule hybridize with the conduction electron states of the Au(111) substrate, imparting itinerantlike electron characteristics. Because of the high symmetry matching between the d_{π} orbitals of Co adatoms and the π orbitals of CoPc, the large orbital overlap predominates the formation of a Kondo singlet within the molecular complexes that prevail over the competition from the metal substrate, enabling them effectively as the molecular Kondo boxes.
View Article and Find Full Text PDFACS Nano
September 2025
School of Physics and Key Lab of Quantum Materials and Devices of the Ministry of Education, Southeast University, Nanjing 211189, P. R. China.
While hexagonal boron nitride (hBN) hosts promising room-temperature quantum emitters for hybrid quantum photonic circuits, scalable deterministic integration and insufficient brightness alongside low photon collection and coupling efficiencies remain unresolved challenges. We present a femtosecond laser nanoengineering platform that enables the site-specific generation of hBN single-photon source (SPS) arrays. First-principles density functional theory (DFT) calculations and polarization-resolved spectroscopy confirm the atomic origin of emission as interfacial defects at hBN/SiO heterojunctions.
View Article and Find Full Text PDFPLoS One
September 2025
School of Computer Science, CHART Laboratory, University of Nottingham, Nottingham, United Kingdom.
Background And Objective: Male fertility assessment through sperm morphology analysis remains a critical component of reproductive health evaluation, as abnormal sperm morphology is strongly correlated with reduced fertility rates and poor assisted reproductive technology outcomes. Traditional manual analysis performed by embryologists is time-intensive, subjective, and prone to significant inter-observer variability, with studies reporting up to 40% disagreement between expert evaluators. This research presents a novel deep learning framework combining Convolutional Block Attention Module (CBAM) with ResNet50 architecture and advanced deep feature engineering (DFE) techniques for automated, objective sperm morphology classification.
View Article and Find Full Text PDFSci Adv
September 2025
Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.
Embodied intelligence in soft robotics offers unprecedented capabilities for operating in uncertain, confined, and fragile environments that challenge conventional technologies. However, achieving true embodied intelligence-which requires continuous environmental sensing, real-time control, and autonomous decision-making-faces challenges in energy management and system integration. We developed deformation-resilient flexible batteries with enhanced performance under magnetic fields inherently present in magnetically actuated soft robots, with capacity retention after 200 cycles improved from 31.
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