Results 171 to 180 of about 131,401 (219)
IMPACT: In-Memory ComPuting Architecture based on Y-FlAsh Technology for Coalesced Tsetlin machine inference. [PDF]
Ghazal O +5 more
europepmc +1 more source
Ferroelectric nanoclusters create local internal fields in a normally non‐switchable polar film because of polarization mismatch at their interfaces. That field opposes polarization in the regions with larger polarization and reinforces polarization in the regions with smaller polarization.
Anna N. Morozovska +5 more
wiley +1 more source
Charge-trap synaptic device with polycrystalline silicon channel for low power in-memory computing. [PDF]
Park MK +7 more
europepmc +1 more source
Photoaligned and photopatterned liquid crystal platforms provide programmable control of optical phase, polarization, and spin‐orbit interactions, enabling compact generation of structured light and complex wavefronts. This review highlights how tailored molecular orientations transform simple beams into designed optical fields, opening versatile ...
Le Zhou +6 more
wiley +1 more source
Cryo-SIMPLY: A Reliable STT-MRAM-Based Smart Material Implication Architecture for In-Memory Computing. [PDF]
Moposita T +3 more
europepmc +1 more source
Effect of Optical Illumination on Bubble Nanodomains
Stable surface‐confined nanoscale bubble domains are created and manipulated in PMN‐PT single crystals. Under above‐bandgap illumination, these bubble nanodomains remain unchanged. However, upon illumination cessation, they rapidly expand to switch the entire crystal surface, due to the accumulation of a large reservoir of electrons at the crystal ...
Haoze Zhang +8 more
wiley +1 more source
Adapting magnetoresistive memory devices for accurate and on-chip-training-free in-memory computing. [PDF]
Xiao Z +5 more
europepmc +1 more source
This paper proposes a highly efficient ferroelectric artificial synapse device based on an oxide semiconductor and SnCl2‐inserted P(VDF‐TrFE) gate dielectric layer. This FeFET significantly improved the synaptic performance due to the ion‐dipole interaction.
Hyun‐Soo Kim +14 more
wiley +1 more source
Ferroelectric capacitors and field-effect transistors as in-memory computing elements for machine learning workloads. [PDF]
Yu E, K GK, Saxena U, Roy K.
europepmc +1 more source
Geometry‐driven design of soft cellular metamaterials is systematically investigated by combining experiments, finite element modeling, and statistical prediction. The study quantifies how unit cell geometry and material properties govern stiffness, instability, densification, and energy absorption.
Alice Berardo +4 more
wiley +1 more source

