Results 161 to 170 of about 736 (237)
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong +11 more
wiley +1 more source
Graphical determination of orbits of visual binary stars
P. D. Wilkins, J. J. Nassau
openaire +1 more source
Soft Hardware, Flowing Software: Reconfigurable Microfluidics for Adaptable Chemical Computation
A reconfigurable microfluidic platform based on soft, photo‐printable, and chemically erasable hydrogel structures printed and erased in situ is used to control flow routing, mixing, chemical patterning, and even chemical computing. Using hardware to control chemical computations decouples logic function from molecular composition, demonstrated via ...
Piet J. M. Swinkels +4 more
wiley +1 more source
Molecularly engineered self‐assembled monolayers (SAMs) featuring extended conjugated terminals facilitate superior interfacial coupling with the organic solar cell active layer. By physically anchoring the local morphology, this design suppresses thermal degradation, allowing devices to operate at 85°C for 150 h before degrading to 90% of their ...
Gengxin Du +17 more
wiley +1 more source
A general, versatile laser‐shock synthesis process is reported to produce various bimetallic CuNi, CuFe, CuCo, and medium‐entropy CuFeCoNi heterostructures, in which crystalline metal nanoparticles are anchored to amorphous hydroxide supports. During nitrate reduction reaction, the heterostructures undergo dynamic amorphous/crystalline reconstruction ...
Weihua Guo +18 more
wiley +1 more source
Interface‐Engineered Binary Framework Composites: Advancing Porous Materials for Precision Medicine
Binary framework composites integrate two complementary porous architectures into a unified platform, enabling multifunctional design, enhanced structural tunability, and improved physicochemical performance. By combining high surface area, ordered porosity, interfacial synergy, and versatile functionalization, these hybrid materials offer new ...
Navid Rabiee +3 more
wiley +1 more source
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov +3 more
wiley +1 more source
An AlON interfacial layer is engineered within an AlN switching layer to enable transparent RRAM with four stable resistance states. The device achieves low‐voltage multilevel switching and a high HRS, allowing precise grayscale modulation and preventing light leakage in micro‐LEDs operated at VDD = 2.7 V.
Sung Keun Choi +7 more
wiley +1 more source
This review systematically explains the synthesis, properties, and energy storage and conversion applications of vanadium carbides. We introduce the structural and the synthetic strategies and reviewed recent developments in the material synthesis processes. The emerging applications of vanadium carbides in energy storage and conversion are highlighted.
Swathy B. Saseendran +2 more
wiley +1 more source

