Results 231 to 240 of about 127,829 (293)

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

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

Demoralization and Associated Factors in Palliative Oncology Outpatients: A Cross-Sectional Study. [PDF]

open access: yesPsychooncology
Ljuslin M   +12 more
europepmc   +1 more source

Exploring Curvature Effects in Direct‐Written 3D Curved Hollow Magnetic Nanoshells

open access: yesAdvanced Functional Materials, EarlyView.
Fabricated by a hybrid FEBID/CVD method, 3D PtC/Co3Fe core–shell heterostructures with engineered curvature and shell thickness exhibit complex reversal modes with axially symmetric N'eel‐type domain walls. XMCD‐PEEM combined with full‐scale micromagnetic simulations reveal how curvature and thickness govern the domain wall energy landscape and shape ...
Oleksii M. Volkov   +10 more
wiley   +1 more source

Validation of the Persian NDDI-E for Depression Screening in Adolescents with Epilepsy. [PDF]

open access: yesIran J Child Neurol
Haghi S   +4 more
europepmc   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou   +5 more
wiley   +1 more source

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