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Related Concept Videos

Network Covalent Solids02:18

Network Covalent Solids

15.8K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
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Two-Dimensional (2D) NMR: Overview01:12

Two-Dimensional (2D) NMR: Overview

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The 1D NMR spectrum of large and complex molecules like natural products has complicated splitting patterns and overlapping signals, which can be easily interpreted using 2-dimensional (2D) NMR. Unlike 1D NMR, 2D NMR has two frequency axes that provide the coupling information between the nucleus A and nucleus B in a molecule. The process from which 2D spectra are obtained has four steps.
The first step is the preparation period, during which nucleus A is excited with a radiofrequency pulse....
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Types of Semiconductors01:20

Types of Semiconductors

1.2K
Intrinsic semiconductors are highly pure materials with no impurities. At absolute zero, these semiconductors behave as perfect insulators because all the valence electrons are bound, and the conduction band is empty, disallowing electrical conduction. The Fermi level is a concept used to describe the probability of occupancy of energy levels by electrons at thermal equilibrium. In intrinsic semiconductors, the Fermi level is positioned at the midpoint of the energy gap at absolute zero. When...
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Semiconductors01:22

Semiconductors

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There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...
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Metallic Solids02:37

Metallic Solids

20.3K
Metallic solids such as crystals of copper, aluminum, and iron are formed by metal atoms. The structure of metallic crystals is often described as a uniform distribution of atomic nuclei within a “sea” of delocalized electrons. The atoms within such a metallic solid are held together by a unique force known as metallic bonding that gives rise to many useful and varied bulk properties.
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Updated: Dec 15, 2025

A Standard and Reliable Method to Fabricate Two-Dimensional Nanoelectronics
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A Standard and Reliable Method to Fabricate Two-Dimensional Nanoelectronics

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Two-dimensional materials for next-generation computing technologies.

Chunsen Liu1,2, Huawei Chen1, Shuiyuan Wang1

  • 1State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai, China.

Nature Nanotechnology
|July 11, 2020
PubMed
Summary
This summary is machine-generated.

Two-dimensional materials offer enhanced energy and area efficiency for next-generation computing, complementing silicon technology. Their integration with in-memory and transistor-based computing promises advancements in matrix and logic operations.

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Area of Science:

  • Materials Science and Engineering
  • Electrical Engineering
  • Computer Science

Background:

  • Rapid advancements in digital technology necessitate improved energy and area efficiency in computing.
  • Existing silicon complementary metal-oxide-semiconductor (CMOS) technology faces limitations for future computing demands.
  • In-memory computing and transistor-based computing are key for matrix and logic operations.

Purpose of the Study:

  • To explore the potential of two-dimensional (2D) materials for next-generation computing.
  • To review the integration of 2D materials with in-memory and transistor-based computing.
  • To discuss opportunities, progress, and challenges in this field.

Main Methods:

  • Review of current research on two-dimensional materials for computing applications.
  • Analysis of the integration of 2D materials with in-memory computing architectures.
  • Evaluation of 2D materials in transistor-based computing for matrix and logic functions.

Main Results:

  • Two-dimensional materials possess unique electronic properties suitable for enhancing computing efficiency.
  • These materials enable device downscaling to feature sizes below 5 nm.
  • Integration with in-memory and transistor-based computing shows promise for matrix and logic operations.

Conclusions:

  • Two-dimensional materials are crucial for complementing silicon CMOS technology and advancing computing.
  • Further research and development are needed to overcome challenges in integrating 2D materials.
  • These materials hold significant potential for diversifying electronics and expanding their applications.