Results 151 to 160 of about 14,155,825 (292)

Spectrally Programmable Spin‐Polarized Photocurrents in WSe2–NiPS3 Magnetic van der Waals Heterostructures

Advanced Materials, EarlyView.
Heterostructure photodiode devices of p‐type WSe2 with n‐type NiPS3 constructs spectrally protected spin‐polarized photocurrents. The energy of the excitation photon serves as an independent control parameter for spin‐selective photocurrent generation. ABSTRACT Efficient generation and control of spin‐polarized currents in semiconductors remain central
Rajesh Kumar Yadav, Michal Poplinger, Adi Levi, Adi Harchol, Nirman Chakraborty, Thomas Brumme, Thomas Heine, Efrat Lifshitz, Doron Naveh   +8 more
wiley   +1 more source

Sensitivity Assessment of Macroscopic Mechanical Responses of Cemented Sand and Gravel to Mesoscopic Parameters Using an Improved MULTIMOORA Method. [PDF]

Materials (Basel)
Shi Z, Li F, Zhang Y.
europepmc   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Macro-Meso-Scale Simulation for Surface Roughness Evolution of Aluminum Alloy Tube Drawing Process. [PDF]

Materials (Basel)
Liu C, Shao Y, Song Y, Yu W, Xu W.
europepmc   +1 more source

Ionic Gating of Liquid‐Crystal‐Like Pteridine Assemblies Enables Tunable Light Scattering

Advanced Materials, EarlyView.
Tunable optical properties emerge through developmentally regulated ionic gating, which transforms disordered, ultraviolet (UV)‐absorbing organelles into concentrically ordered, liquid‐crystal‐like light scatterers. By integrating analyses of pteridine composition, potassium‐dependent assembly, hierarchical ultrastructure, and optical behavior, the ...
Sourabh Bera, Zohar Eyal, Yael Noy, Yuval Barzilay, Siddharth Sahoo, Srikant Moharana, Avi Baram, Tali Lerer‐Goldshtein, Neta Varsano, Bar Bader, Lothar Houben, Uwe Heinig, Iddo Pinkas, Moshe Goldsmith, Tamar Unger, Shira Albeck, Andrea Sorrentino, Maxim Itkin, Sergey Malitsky, Ziv Porat, Ido Hadar, Venkata Jayasurya Yallapragada, Dvir Gur   +22 more
wiley   +1 more source

A FEM-Based Machine Learning Framework for Online Stress Field Estimation in Hydropower Regulating Rings. [PDF]

Sensors (Basel)
Ribeiro Junior RF, Loss PHF, Macedo BC, Assuncao FO, Bonaldi EL, Borges-da-Silva LE.   +5 more
europepmc   +1 more source

Differential Sedimentation and Cryo‐TEM Mapping Resolve Structural Heterogeneity in Conjugated Polymer Nanowires for Programmable Stretchable Electronics

Advanced Materials, EarlyView.
Density‐driven differential sedimentation fractionates solution‐assembled P3HT nanowires into crystalline and disordered constituents. High‐resolution cryo‐TEM directly visualizes the molecular chain packing within individual nanowires in real space, and recombining the fractions programs the mobility–stretchability trade‐off without chemical ...
Junyeon Yoon, Jun Ho Hwang, Eunji Lee
wiley   +1 more source

A Mode-Aware Hybrid Machine-Learning Framework for Full-Field Warpage Prediction of Fan-Out Panel-Level Packaging After Debonding. [PDF]

Materials (Basel)
Huang MC, Su YT, Chiang KN.
europepmc   +1 more source

Inverse Design of Nanoparticulate Materials

Advanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré, Annika Mauch, Michelle Berthold, Lukas Pflug, Wolfgang Peukert, Nicolas Vogel   +5 more
wiley   +1 more source

Parameter calibration of finite element model of reinforced concrete arch bridge based on ISOA-RBF neural network. [PDF]

Sci Rep
Peng W, Zhang Z, Tian Z, Zhang J, Zeng G.   +4 more
europepmc   +1 more source