Results 141 to 150 of about 170,462 (259)

Role of Molecular Topology Elucidated in Unified Gels. [PDF]

open access: yesJ Am Chem Soc
Luo T   +13 more
europepmc   +1 more source

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

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez   +10 more
wiley   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

open access: yesAdvanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj   +4 more
wiley   +1 more source

Excessive C5 conversion prevents C9 polymerisation and subsequent MAC-dependent killing of Klebsiella pneumoniae. [PDF]

open access: yesPLoS Pathog
Dawoodbhoy KM   +7 more
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

open access: yesAdvanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali   +3 more
wiley   +1 more source

TWIN: Ternary Weight and Input Neural Network Accelerators Using an Experimentally Informed Ferroelectric Carbon Nanotube FET Compact Model

open access: yesAdvanced Electronic Materials, EarlyView.
Ferroelectric HZO thin films enable negative differential resistance in calibrated FeCNTFET models, creating stable ternary switching states for compact multi‐valued logic. The resulting device‐to‐architecture framework demonstrates efficient ternary neural‐network accelerators with substantial area and power savings, highlighting ferroelectric CNT ...
Mohammad Khaleqi Qaleh Jooq   +9 more
wiley   +1 more source

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