Results 101 to 110 of about 65,239 (310)

The Modernity of Tradition. Political Development in India

open access: hybrid, 1968
Lloyd I. Rudolph, Susanne Hoeber Rudolph
openalex   +1 more source

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

open access: yesAdvanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida   +16 more
wiley   +1 more source

Vat Photopolymerization of High Molecular Weight Polymer Latexes with Pseudothermoplastic Properties for Recyclability

open access: yesAdvanced Functional Materials, EarlyView.
A photocurable latex system enables high‐resolution vat photopolymerization of water‐dispersed thermoplastics, yielding pseudothermoplastic materials with recyclability. The formulation permits precise control over mechanical properties and supports reprocessing through conventional and extrusion‐based methods. Compatibility with two‐photon 3D printing
Jon Ayestaran   +12 more
wiley   +1 more source

Bioinspired Shape Reconfigurable, Printable, and Conductive “E‐Skin” Patch with Robust Antibacterial Properties for Human Health Sensing

open access: yesAdvanced Functional Materials, EarlyView.
In this article, Hojin Kim, Sayan Deb Dutta, and co‐workers report a shape‐reconfigurable, 3D printable, and highly adhesive slime‐like ‘electronic skin’ or ‘E‐skin’ patch for human health sensing and tissue engineering applications. The dual reinforcement of hydrogel patch with carbon nanotubes (CNTs) and cellulose nanocrystals (CNCs) improve the ...
Hojin Kim   +6 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

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