Results 171 to 180 of about 251,819 (258)

Directional Flow of Confined Polaritons in CrSBr

Advanced Materials, EarlyView.
CrSBr, a layered magnetic semiconductor, naturally channels self‐hybridized excitonpolaritons into highly directional flow. Its intrinsic optical anisotropy, high refractive index, and strong lightmatter coupling enable long‐range guided modes along the a‐axis, with propagation lengths set by their excitonphoton admixture.
Pratap Chandra Adak, Sichao Yu, Jaime Abad‐Arredondo, Biswajit Datta, Andy Cruz, Sorah Fischer, Kseniia Mosina, Zdeněk Sofer, Antonio I. Fernández‐Domínguez, Francisco J. Garcia‐Vidal, Vinod M. Menon   +10 more
wiley   +1 more source

An indoor radio mapping dataset combining 3D point clouds and RSSI. [PDF]

Data Brief
Milosheski L, Akiyama K, Bertalanič B, Hribar J, Shinkuma R.   +4 more
europepmc   +1 more source

3D Anodic Alumina Nanoarchitectures: A Decade of Progress from Foundational Science to Functional Metamaterials

Advanced Materials, EarlyView.
Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
wiley   +1 more source

Data-driven simulator of multi-animal behavior with unknown dynamics via reinforcement learning. [PDF]

iScience
Fujii K, Tsutsui K, Teshima Y, Itoh M, Takeishi N, Nishiumi N, Tanaka R, Shigaki S, Kawahara Y.   +8 more
europepmc   +1 more source

Tough, Ductile, and Strong Hard‐Soft Cementitious Composite Enabled by Multi‐Material Additive Manufacturing

Advanced Materials, EarlyView.
Drawing inspiration from the layered hard‐soft architecture found in sea sponges, this work establishes a new framework for architected cementitious composites (ACC) through multi‐material additive manufacturing (MMAM) process. The integration of mortar and elastomer phases into layered architectures enables synergistic toughening mechanisms, including
Aimane Najmeddine, Shashank Gupta, William Makinen, Zayvinn Lin, Krystal Delnoce, Reza Moini   +5 more
wiley   +1 more source

Multi-FusNet-convolutional neural network with improved Huber loss function for plant leaf disease detection and classification. [PDF]

Front Plant Sci
Shruthi BS, Narasimha Murthy MS, Aldakheel EA, Khafaga DS.   +3 more
europepmc   +1 more source

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

On-Body and Off-Body Communications: A Comparative Study Between Hardware and Simulations. [PDF]

Sensors (Basel)
Oza D, Ramonet AG, Yoshida M, Noguchi T.
europepmc   +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

Multi-task procedural content generation with reinforcement learning. [PDF]

Sci Rep
Nekahdari A, Kouzehkonani ED, Saeedi N, Shirini K, Gharehveran SS.   +4 more
europepmc   +1 more source