Results 41 to 50 of about 8,698 (192)

One‐Dimensional Materials Supported in Two‐Dimensional Van der Waals Metal–Organic Frameworks with Optical Anisotropy Switching via Twist‐Engineering

Advanced Materials, EarlyView.
We introduce a molecular strategy to assemble one‐dimensional (1D) materials into two‐dimensional (2D) van der Waals metal–organic frameworks (MOFs). Crystals of [FeX(pzX)(bpy)] (X = Cl, F) form anisotropic 2D layers that can be mechanically exfoliated into thin sheets.
Eleni C. Mazarakioti, Carla Boix‐Constant, Iván Gómez‐Muñoz, Diego López‐Alcalá, Sergio Revuelta, Marco Ballabio, Vasileios Balos, José J. Baldoví, Enrique Cánovas, Josep Canet‐Ferrer, Guillermo Mínguez Espallargas, Samuel Mañas‐Valero, Eugenio Coronado   +12 more
wiley   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Measuring the Hall Effect in Hysteretic Materials

Advanced Materials, EarlyView.
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya, Anthony Voyemant, Sudipta Chatterjee, Scott B. Lee, Grigorii Skorupskii, Connor J. Pollak, Leslie M. Schoop   +6 more
wiley   +1 more source

Inferring Internal Structures of Porous Media From Orthogonal External Surfaces: A Novel 2D‐to‐3D Reconstruction Method Based on a Deep Conditional Diffusion Model

Journal of Geophysical Research: Machine Learning and Computation
Diffusion models, a class of generative models renowned for producing realistic images, hold significant promise for reconstructing complex three‐dimensional (3D) porous media.
Yinquan Meng, Jianguo Jiang, Benzhong Zhao, Shujun Ye, Dong Wang, Jichun Wu   +5 more
doaj   +1 more source

Programming of Complex Magnetic Profiles Enforced by 4D Printed Magnetic LCE Actuators

Advanced Materials, EarlyView.
A 4D printing‐enabled magnetic programming strategy is introduced in which thermally actuated liquid crystal elastomers are magnetized in their target shape to encode complex three‐dimensional magnetic profiles. The resulting actuators achieve multistate shape morphing and programmable locomotion under low magnetic fields, without requiring specialized
Erick R. Espíndola‐Pérez, Rahul Goyal, Lovish Gulati, María López‐Valdeolivas, Peer Fischer, Carlos Sánchez‐Somolinos   +5 more
wiley   +1 more source

A genetic algorithm to generate maximally orthogonal frames in complex space

Machine Learning: Science and Technology
A frame is a generalization of a basis of a vector space to a redundant overspanning set whose vectors are linearly dependent. Frames find applications in signal processing and quantum information theory.
Sebastián Roca-Jerat, Juan Román-Roche
doaj   +1 more source

Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses

Advanced Materials, EarlyView.
AF4‐UV‐DLS‐MALS‐SAXS resolves previously inaccessible targeted lipid nanoparticle (tLNP) subpopulations that differ in size, shape, and composition. Correlation of subpopulation‐resolved biophysical properties with in vivo RNA delivery reveals that targeted placental transfection is associated with distinct tLNP subpopulations rather than ensemble ...
Hannah C. Geisler, Hannah C. Safford, Ajay S. Thatte, Marshall S. Padilla, Elisa Battistini, Hannah M. Yamagata, Violet M. Ullman, Alex Chan, Benjamin E. Nachod, Anushka Agrawal, Maxwell B. Watkins, Jesse B. Hopkins, Andrew Tsourkas, Kushol Gupta, Michael J. Mitchell   +14 more
wiley   +1 more source

Anomalous Crystallinity and Magnetism in Chemically Disordered Coherent Heterostructures

Advanced Materials, EarlyView.
Coherent isostructural high‐entropy oxide heterostructures are realized despite remarkable >5% interfacial lattice distortion. The resulting buried interface exhibits abrupt valence reconstruction which contributes to 2 × enhanced exchange bias in the heterostructure relative to constituent layers, demonstrating how chemical disorder enabled anomalous ...
Saeed S. I. Almishal, Sai Venkata Gayathri Ayyagari, Aaron Pearre, Pat Kezer, Matthew Furst, Christina M. Rost, Binghai Yan, Nasim Alem, Timothy Charlton, Zhiqiang Mao, John T. Heron, Jon‐Paul Maria   +11 more
wiley   +1 more source

Electrically Tunable Heliconical Smectic Superstructure in Polar Fluids

Advanced Materials, EarlyView.
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, Dennis Kwaria, Atsuko Nihonyanagi, Koki Sano, Hiroyuki Yoshida, Fumito Araoka   +5 more
wiley   +1 more source

Radial Basis Function Network Configuration Using Mutual Information and the Orthogonal Least Squares Algorithm

, 1995
Input nodes of neural networks are usually predetermined by using a priori knowledge or selected by trial and error. For example, in pattern recognition applications the input nodes are usually the given pattern features and in system identification applications the past input and output data are often used as inputs to the network.
Billings, S.A., Zheng, G.L.
openaire