Biomass DNA: An Emerging Building Block for Advanced Materials
Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
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Peristaltic transport and thermodynamic analysis of hybrid nanofluids in porous media using physics-informed neural networks. [PDF]
Vaseem M, Uddin Z, Upreti H.
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Life‐Like Ferrous Oxide Microspheres from Kombucha
Kombucha bacterial cellulose, sodium alginate, and ferrous nitrate self‐assemble into membrane‐enclosed iron oxide microspheres. These microspheres bud daughter vesicles, sustain 24‐h electrochemical oscillations, and filter theta‐band signals.
Panagiotis Mougkogiannis +2 more
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River Surface Velocity and Discharge Estimation Using Optical Flow and Unlabeled Physics-Informed Neural Networks. [PDF]
Shu Z, Gao Y, Zhang G, Xu Z, Wang J.
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A Critical Review on the Evolution of Chitosan‐Based Injectable Hydrogels in Bone Regeneration
The graphical illustration depicts hydrogel formulation using chitosan and biocompatible cross‐linkers, major advantages, and incorporation of cells, osteoinductive factors, and therapeutic drugs. Following injection, pH‐responsive gelation enables controlled drug release, promotes cell recruitment and osteogenic differentiation, enhances extracellular
Shivani Santosh Sakhrani +2 more
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Physics-informed neural networks with caputo-fabrizio derivatives for nonlinear fractal-fractional delay equations and chaotic systems. [PDF]
Khan H +4 more
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Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications
A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
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AI-driven predictive modelling of residual stress of HVOF thermal sprayed carbon-based composite coatings using physics-informed neural networks. [PDF]
Tyagi A, Dadhich A, Sirohi S, Gupta AK.
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Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
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Physics-Informed Neural Networks for Modeling Postprandial Plasma Amino Acids Kinetics in Pigs. [PDF]
Li Z +7 more
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