Results 141 to 150 of about 5,336 (304)

Physics‐Based Compact Modeling of Advanced 3D Nanoscale Vertical NAND Flash Memory

open access: yesAdvanced Electronic Materials, EarlyView.
For advanced 3D NAND flash memory, a unified compact model for SPICE is proposed that spans from the intrinsic unit cell to the full string and captures the electrostatic coupling with adjacent inhibit strings. It can successfully predict read behavior, program/erase dynamics, and interactions between neighboring cells, reflecting array‐level behavior ...
Ilho Myeong, Seonho Shin, Ickhyun Song
wiley   +1 more source

New preconditioners for saddle point problems

open access: yes, 2006
We present new preconditioners based on matrix splittings for the saddle point problems. The spectral property of one of the preconditioned matrix is studied in detail. Numerical examples are used to illustrate the efficiency of the new preconditioners. ©
Pan, Jian Yu   +2 more
core   +1 more source

Strain‐Directed Ru Redistribution to Form RuO2/Pt Mosaic Heterointerfaces for Acid‐Stable Water Oxidation

open access: yesAdvanced Energy Materials, EarlyView.
Strain‐driven Ru inward migration creates confined RuO2/Pt mosaic heterointerfaces within a PtNi multiframe. These interfaces enable redox‐asymmetric Pt–Ru coupling that stabilizes Ru4+, suppresses lattice oxygen participation, and promotes highly durable acidic oxygen evolution.
Yeji Park   +13 more
wiley   +1 more source

Reliable Evaluation of Na‐Ion Battery Materials: Eliminating Na‐Metal Distortions

open access: yesAdvanced Energy Materials, EarlyView.
Na metal is highly reactive in carbonate electrolytes, forming unstable interphases and triggering parasitic reactions that distort measurements and undermine reproducibility. To enable accurate evaluation of materials for Na‑ion batteries, this work suggests that NASICON‑type counter electrodes provide a practical and stable platform for distortion ...
Jinkwang Hwang   +9 more
wiley   +1 more source

A Fast Convergent Ordered-Subsets Algorithm With Subiteration-Dependent Preconditioners for PET Image Reconstruction. [PDF]

open access: yesIEEE Trans Med Imaging, 2022
Guo J   +7 more
europepmc   +1 more source

A new drag and lift correlation for spherocylinders from fully resolved Immersed Boundary Method

open access: yesAIChE Journal, EarlyView.
Abstract Many industrial processes deal with non‐spherical particles, e.g., mineral mining and biomass conversion. It is crucial to understand the particles' hydrodynamics to control and optimize these processes. To extend the current state‐of‐the‐art from arrays of spherical particles to spherocylindrical particles, we performed extensive particle ...
A. H. Huijgen   +4 more
wiley   +1 more source

Hydration Behavior of Tricalcium Silicate in Seawater Relevant Salt Systems: A Hybrid Study with the Aid of Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
The hydration behavior of C3S in seawater‐relevant solutions is studied based on experiments, boundary nucleation and growth (BNG) modeling, and machine learning. The main ions included in seawater modify hydration mechanisms, with MgCl2 showing the strongest acceleration effect at the same concentration.
Yanjie Sun   +6 more
wiley   +1 more source

A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing

open access: yesAdvanced Intelligent Systems, EarlyView.
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti   +6 more
wiley   +1 more source

Convolutional neural network-driven preconditioners for conjugate gradients

open access: yesMachine Learning: Science and Technology
We present a data-driven approach for preconditioning large sparse symmetric positive definite linear systems using convolutional neural networks tailored for sparse tensor inputs.
Johannes Sappl   +3 more
doaj   +1 more source

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