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相关概念视频

Ionic Radii03:10

Ionic Radii

33.4K
Ionic radius is the measure used to describe the size of an ion. A cation always has fewer electrons and the same number of protons as the parent atom; it is smaller than the atom from which it is derived. For example, the covalent radius of an aluminum atom (1s22s22p63s23p1) is 118 pm, whereas the ionic radius of an Al3+ (1s22s22p6) is 68 pm. As electrons are removed from the outer valence shell, the remaining core electrons occupying smaller shells experience a greater effective nuclear...
33.4K
Ionic Bonds00:42

Ionic Bonds

129.6K
Overview
When atoms gain or lose electrons to achieve a more stable electron configuration they form ions. Ionic bonds are electrostatic attractions between ions with opposite charges. Ionic compounds are rigid and brittle when solid and may dissociate into their constituent ions in water. Covalent compounds, by contrast, remain intact unless a chemical reaction breaks them.
Opposing Charges Hold Ions Together in Ionic Compounds
Ionic bonds are reversible electrostatic interactions between ions...
129.6K
Molecular and Ionic Solids02:54

Molecular and Ionic Solids

20.0K
Crystalline solids are divided into four types: molecular, ionic, metallic, and covalent network based on the type of constituent units and their interparticle interactions.
Molecular Solids
Molecular crystalline solids, such as ice, sucrose (table sugar), and iodine, are solids that are composed of neutral molecules as their constituent units. These molecules are held together by weak intermolecular forces such as London dispersion forces, dipole-dipole interactions, or hydrogen bonds, which...
20.0K
Solubility of Ionic Compounds02:55

Solubility of Ionic Compounds

68.1K
Solubility is the measure of the maximum amount of solute that can be dissolved in a given quantity of solvent at a given temperature and pressure. Solubility is usually measured in molarity (M) or moles per liter (mol/L). A compound is termed soluble if it dissolves in water.
68.1K
Ionic Crystal Structures02:42

Ionic Crystal Structures

16.9K
Ionic crystals consist of two or more different kinds of ions that usually have different sizes. The packing of these ions into a crystal structure is more complex than the packing of metal atoms that are the same size.
Most monatomic ions behave as charged spheres, and their attraction for ions of opposite charge is the same in every direction. Consequently, stable structures for ionic compounds result (1) when ions of one charge are surrounded by as many ions as possible of the opposite...
16.9K
Ionic Compounds: Formulas and Nomenclature03:34

Ionic Compounds: Formulas and Nomenclature

86.4K
An element composed of atoms that readily lose electrons (a metal) can react with an element composed of atoms that readily gain electrons (a nonmetal) to produce ions through complete electron transfer. The compound formed by this transfer is stabilized by the electrostatic attractions (ionic bonds) between the oppositely charged ions.
86.4K

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Updated: Jan 25, 2026

Ambient Method for the Production of an Ionically Gated Carbon Nanotube Common Cathode in Tandem Organic Solar Cells
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Ambient Method for the Production of an Ionically Gated Carbon Nanotube Common Cathode in Tandem Organic Solar Cells

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用于可扩展的神经形态计算的离子浮动门内存阵列的并行编程

Elliot J Fuller1, Scott T Keene2, Armantas Melianas2

  • 1Sandia National Laboratories, Livermore, CA, USA.

Science (New York, N.Y.)
|April 27, 2019
PubMed
概括
此摘要是机器生成的。

研究人员开发了一种用于神经形态计算的新型离子浮动门存储阵列. 这种系统可实现高效的并行重量更新和低电流读取, 进步人工智能硬件.

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Last Updated: Jan 25, 2026

Ambient Method for the Production of an Ionically Gated Carbon Nanotube Common Cathode in Tandem Organic Solar Cells
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Ambient Method for the Production of an Ionically Gated Carbon Nanotube Common Cathode in Tandem Organic Solar Cells

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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
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科学领域:

  • 材料科学
  • 计算机工程
  • 神经科学

背景情况:

  • 传统计算面临效率限制,特别是在人工神经网络中.
  • 神经形态计算旨在通过并行处理和专用记忆提高效率.
  • 实现高效的学习需要选择性,线性重量更新和低读取电流 (<10 nA).

研究的目的:

  • 引入一个新的离子浮动门存储阵列,
  • 展示人工神经网络权重的选择性和线性编程.
  • 在10纳米安培以下的电流下实现突触重量读取.

主要方法:

  • 使用聚合物氧化还原晶体管与导电桥内存 (CBM) 集成.
  • 通过克服选择性重量更新的CBM桥接值电压实现并行编程.
  • 通过用绝缘体稀释导电聚合物来达到低读数电流.

主要成果:

  • 证明了反氧晶体管阵列的选择性和线性编程.
  • 在10纳米安培以下的电流下实现了突触重量读取.
  • 记忆阵列表现出高耐久性 (>10亿读写操作) 和高频率 (>1 MHz).

结论:

  • 开发的离子浮动门记忆阵列满足了高效神经形态学习的关键要求.
  • 这项技术为人工智能应用提供了超越传统计算效率的途径.
  • 系统显示出强大且高速的神经形态硬件的前景.