Results 121 to 130 of about 97,815 (271)
High‐Throughput Exfoliation of Optoelectronic‐Grade MoS2 via Turbulent‐Flow Wet Jet Milling
A scalable wet jet milling exfoliation method is demonstrated for producing optoelectronic‐grade MoS2 nanosheets using environmentally friendly ethyl cellulose in ethanol dispersion media. Guided by fluid dynamics modeling, this approach is optimized to achieve record‐high exfoliation throughput and concentration.
Maryam Khalaj +7 more
wiley +1 more source
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo +2 more
wiley +1 more source
A novel thermos‐responsive hydroxypropyl cellulose/graphene oxide (HPC/GO) composite membrane is fabricated for reversible temperature‐gated ion transport in aqueous zinc‐ion batteries. Enabled by LCST‐driven structural transition, unimpeded ion diffusion at room temperature delivers high capacity, while elevated temperature suppresses transport; full ...
Xueli Bi +9 more
wiley +1 more source
Cyclic Olefin Copolymers as Versatile Materials for Advanced Engineering Applications
Cyclic olefin copolymers (COCs) are presented as highly versatile materials combining tunable synthesis, excellent optical properties, and mechanical robustness. Their potential spans microfluidics, bioengineering, and advanced electronics, while emerging self‐healing and sustainable solutions highlight future opportunities.
Giulia Fredi +3 more
wiley +1 more source
An original method is presented for producing artificial spider silk fibers with magnetic and magnetomechanical responsiveness, which consists in coating them with a nanometer‐thick layer of FeCo alloy by sputtering deposition. The challenge of combining organic materials and inorganic magnetic nanostructures is addressed, thus taking a step forward ...
Filippo Lanaro +5 more
wiley +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen +15 more
wiley +1 more source
Exploring Pb‐Chelation Chemistry in the Crystallization Dynamics of Halide Perovskites
A mechanism of how Pb‐chelation chemistry governs coordination geometry and initial nucleation behavior at the precursor level of halide perovskite, by regulating the deprotonation state of a chelating additive, is elucidated. This allows for innovative reaction‐system design principles that promote coherent growth while suppressing defect formation in
Byeong Jun Kim +13 more
wiley +1 more source
Aqueous Two‐Phase Bioinks for Discrete Packing and Compartmentalization of 3D Bioprinted Cells
Aqueous two‐phase systems (ATPS) enable the formation of biomimetic interfaces crucial for tissue engineering. However, clinical translation remains limited by the challenge of precisely controlling cellular compartmentalization. Here, we developed ATPS biomaterial inks for 3D bioprinting allowing tuneable droplet formation via NaCl modulation.
Martina Marcotulli +17 more
wiley +1 more source
BioLAMR: A Biomimetically Inspired Large Language Model Adaptation Framework for Automatic Modulation Recognition. [PDF]
Mao Y, Xu W, Sang J, Liu H.
europepmc +1 more source

