A two-stage dc-dc converter with high voltage gain and reduced current ripple for efficient PV energy harvesting. [PDF]
Akca H.
europepmc +1 more source
A sustainable δ‐lactone‐based polymer platform enables multimodal additive manufacturing through DLP, DIW, and FFF, combining tunable crystallinity, photocurable networks, mechanical robustness, and functional response. The printed materials can be mechanically reprocessed and chemically depolymerized into recoverable monomers, demonstrating a closed ...
Farzad Gholami +2 more
wiley +1 more source
High gain non-isolated step-up DC-DC converter proper for renewable energy applications. [PDF]
Rostami R, Hosseini SH, Sharifian MBB.
europepmc +1 more source
Electrically Tunable Heliconical Smectic Superstructure in Polar Fluids
Strong dipole–dipole interactions give rise to an emergent polar smectic phase with spontaneous chiral symmetry breaking. This resulting polar heliconical smectic superstructure enables novel functionalities in polar fluids, such as color modulation driven by electric field strength and frequency, as well as second‐harmonic generation amplification ...
Hiroya Nishikawa +5 more
wiley +1 more source
Reduced switch multiple active bridge DC-DC converter for modular solid-state transformers. [PDF]
Khani S, Hosseini SH, Sabahi M.
europepmc +1 more source
Meniscus‐Guided Interfacial Ring‐by‐Ring Assembly for In Situ Fabrication of Tubular Hydrogels
A tubular hydrogel fabrication method leveraging the meniscus effect at the oil‐water interface is presented. UV irradiation across the concave surface of the photocurable hydrogel precursor induces the formation of ring‐like hydrogel structures. Sequential ring‐by‐ring assembly within microchannels enables the construction of arteriole‐scale hydrogel ...
Yuki Kamiya +2 more
wiley +1 more source
A new coupled-inductor-free bidirectional DC-DC converter with low current ripple in both sides. [PDF]
Sharifi S, Delshad M.
europepmc +1 more source
Optoelectronic Nanofluidic Neural Networks for Ionic Computing
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang +10 more
wiley +1 more source
Machine learning-based MPPT integration with quadratic double-extended DC-DC converter for grid-connected PV-powered BLDC electric vehicles. [PDF]
Karthikeyan D, Shukla VK, Rajesh K.
europepmc +1 more source
Can Elastomers Combine Stiffness, Toughness and Fatigue Resistance?
This review studies how the molecular and macroscopic architecture of elastomers influence their mechanical properties including: stiffness, stretchability, toughness, fatigue resistance, and damping behavior. By linking the structure to performance, it proposes design principles for advanced elastomeric systems that combine mechanical properties ...
Eva Baur, Esther Amstad
wiley +1 more source

