Results 131 to 140 of about 128,528 (304)

Orbital Magnetic Moment Controlled Converse Magnetoelectric Effect in bcc‐Co3Mn/Fe/V/PMN‐PT Multiferroic Heterostructures

open access: yesAdvanced Science, EarlyView.
Based on orbital magnetic moment control, a material design strategy is proposed for a giant converse magnetoelectric effect in multiferroic heterostructures. This study will pioneer a promising route toward low‐power spintronic devices with an electric field.
Takamasa Usami   +5 more
wiley   +1 more source

Digital Nanoelectromechanical Non-Volatile Memory Cell [PDF]

open access: yes
Nanoelectromechanical relays are inherently radiation hard and can operate at high temperatures. Thus, they have potential to serve as the building blocks in nonvolatile memory that can be used in harsh environments with zero standby power.
Pamunuwa, Dinesh,   +15 more
core   +1 more source

Polarization‐Enabled Piezoelectric Tellurium–Selenium (TexSe1–x) Thin Films for Memory Switching and Artificial Synaptic Functions

open access: yesAdvanced Science, EarlyView.
Here, we demonstrate and investigate polarization‐enabled electromechanical responses in cryogenic physical vapor deposition (cryogenic PVD)‐deposited TexSe1‐x thin films, a tellurium‐based compound with a tunable bandgap and enhanced non‐centrosymmetry.
Chia‐Chen Chung   +16 more
wiley   +1 more source

4 × 4 bit Programmable Optical Memory Array With Digital Addressing Using Micro-Ring Resonators

open access: yesIEEE Access
The development of photonic integrated circuit (PIC) based computing systems requires efficient optical memory units, which can be challenging to implement due to the need for precise routing of optical signals.
Assylkhan Nurgali   +3 more
doaj   +1 more source

MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion

open access: yesAdvanced Science, EarlyView.
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong   +9 more
wiley   +1 more source

An Ultra Low Power Non-volatile Memory in Standard CMOS Process for Passive RFID Tags

open access: yes, 2009
An ultra low power non-volatile memory is designed in a standard CMOS process for passive RFID tags. The memory can operate in a new low power operating scheme under a wide supply voltage and clock frequency range.
Feng P (Feng Peng)   +3 more
core  

Architectural Principles for Database Systems on Storage-Class Memory

open access: yes, 2019
Storage-Class Memory (SCM) is a novel class of memory technologies that combine the byte addressability and low latency of DRAM with the density and non-volatility of traditional storage media.
Oukid, Ismail
core   +1 more source

Two‐Dimensional Triferroics: From Fundamental Couplings to Multifunctional Applications

open access: yesAdvanced Science, EarlyView.
This graphic summarizes the three main types of currently reported 2D triferroic couplings. From the structural perspective, existing systems can be broadly classified into two categories, which exhibit distinct symmetry features and coupling behaviors. Beyond the lattice difference, a third type involves the interplay among ferroelectricity, magnetism,
Yang Li, Jialin Gong, Zhiqing Li
wiley   +1 more source

SAP HANA adoption of non-volatile memory

open access: yes, 2017
Non-Volatile RAM (NVRAM) is a novel class of hardware technology which is an interesting blend of two storage paradigms: byte-addressable DRAM and block-addressable storage (e.g. HDD/SSD).
Daniel Booss   +15 more
core   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

open access: yesAdvanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan   +8 more
wiley   +1 more source

Home - About - Disclaimer - Privacy