Results 141 to 150 of about 324,786 (288)

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

Advanced 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, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced 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, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Stable Magnetic Nanodomains Engineered Via Ga+‐ion Irradiation For Deterministic Sequential Switching

Advanced Electronic Materials, EarlyView.
Tiny magnetic regions separated by domain walls can store data, but controlling them precisely is difficult. We use focused ion beams to create nanoscale “anisotropy wells” that pin these walls from both sides. This bidirectional pinning holds domains stable in either direction, even with no field applied.
Gijs W.A. Simons, Rik F.J. van Haren, Bert Koopmans   +2 more
wiley   +1 more source

A novel reduced-switch asymmetric multilevel inverter with scalable structure and flexible source selection algorithms. [PDF]

Sci Rep
Sabzi S, Salary E, Hedayati M, Hajihosseini P.   +3 more
europepmc   +1 more source

Dual‐Mode Optoelectronic Synapse Based on Ultrathin InxTiyO Films for In‐Sensor Neuromorphic Computing and Physical Image Encoding

Advanced Electronic Materials, EarlyView.
An ultrathin InxTiyO‐based optoelectronic synaptic device enables dual‐mode electrical and optical synaptic responses through charge‐trapping‐mediated conductance modulation. Multilevel conductance states further enable physical image encoding, converting visual information into spatial current distributions.
Chaerin Yu, Jung Wook Lim
wiley   +1 more source

PSPICE analysis of PWM controlled inductorless fault tolerant multilevel dc/dc converters

This paper describes the application of PWM control to multilevel inductorless dc/dc converters in order to minimise the component count. Three fault-tolerant PWM controlled inductorless multilevel dc/dc converters are investigated: the generalised dc/dc
Ji B, Ambusaidi K, Zahawi B, Pickert V
core   +3 more sources

Machine learning-based optimization of resonant LLC converters for improved power quality in electric vehicle chargers. [PDF]

Sci Rep
Rexy AI.
europepmc   +1 more source

A Single Volatile VO2 Memristor Enabling Neuromorphic Perception, Learning, and Computing

Advanced Electronic Materials, EarlyView.
A single volatile VO2 memristor fabricated via atomic layer deposition is demonstrated as a multifunctional neuromorphic device enabled by intrinsic threshold‐switching dynamics. The device reproduces neuron‐like integration and firing, short‐timescale associative learning, temporal ECG pattern classification, and nociceptive responses to electrical ...
Bingkai Ding, Bohao Ding, Omesh Kapur, Yisong Han, Richard Beanland, Kai Sun, C. H. (Kees) de Groot, Ruomeng Huang   +7 more
wiley   +1 more source

Analysis and optimized control of dead-time effects in dual active bridge converters to eliminate voltage hazards under high switching frequency. [PDF]

Sci Rep
Zhao H, Xing Y, Zhang G, Chen S, Zhang J, Yu Y.   +5 more
europepmc   +1 more source

Synergistic Fluoride and Polymer‑Regulated Interfacial Engineering of NiFe‑LDH Anodes for Ampere‑Scale Natural Seawater Electrolysis

Advanced Energy Materials, EarlyView.
Schematic comparison of optimized F–NiFe–LDH and conventional NiFe–LDH electrodes during alkaline natural seawater oxygen evolution. The synergistic (poly)CM protective layer and fluoride‐mediated passivation suppress metal leaching, mitigate chloride‐induced corrosion, and regulate surface reconstruction, preserving catalyst integrity beyond 1000 h ...
Xiang Li, Nafeesa Sarfraz, Yi Ding, Imran Mahmood Khan, Shahid Iqbal, Muhammad Sajjad, Sanghyuk Wooh, Ibrahim Khan   +7 more
wiley   +1 more source