Results 231 to 240 of about 149,837 (302)

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

open access: yesAdvanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar   +9 more
wiley   +1 more source

Universal progression of structure and dynamics in colloidal nanocrystal gels during salt-accelerated aging. [PDF]

open access: yesSci Adv
Ofosu CK   +17 more
europepmc   +1 more source

Array‐Level Characterization of Cryogenic RRAM

open access: yesAdvanced Electronic Materials, EarlyView.
This paper reports the first array‐level comprehensive electrical characterization of a 1024‐device HfO2‐based RRAM array from 300, 77 to 4 K, covering forming, set/reset switching, endurance, retention, relaxation, and read disturb. The results manifest the high performance of RRAM array at cryogenic temperatures and huge application potential for ...
Yuyao Lu   +7 more
wiley   +1 more source

Accelerated Oxygen Evolution Kinetics in Layered Double Perovskites via Hydroxide Surface Engineering for Anion Exchange Membrane Water Electrolysis

open access: yesAdvanced Energy Materials, EarlyView.
Our work showcases an innovative approach to address fundamental challenge in AEMWE system by constructing NiFe(OH)x/PBSCF heterostructure via scalable and conformal surface engineering process. Electrical conductivity gradient in the heterostructure increases the OER kinetics by promoting charge transfer, while balancing cation dissolution and re ...
Ki‐Yong Yoon   +12 more
wiley   +1 more source

Thouless quantum walks in topological flat bands. [PDF]

open access: yesLight Sci Appl
Danieli C, Conti C, Pilozzi L, Brosco V.
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali   +5 more
wiley   +1 more source

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