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Related Concept Videos

Two-Dimensional (2D) NMR: Overview01:12

Two-Dimensional (2D) NMR: Overview

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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Related Experiment Video

Updated: Jun 8, 2026

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Two-dimensional materials for integrated sensing.

Hangyu Xu1,2, Zhihao Xu3, Qinqi Ren4

  • 1State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China.

Nature Materials
|April 6, 2026
PubMed
Summary
This summary is machine-generated.

Emerging two-dimensional materials enable integrated sensors for advanced optoelectronic computing by overcoming dimensional mismatches in optical and electrical information processing. This facilitates multi-dimensional optical sensing and retina-like functionalities.

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Area of Science:

  • Materials Science
  • Optoelectronics
  • Computer Engineering

Background:

  • Resistive-switching materials advance electrical multiply-accumulate (MAC) operations for optoelectronic sensing and computing.
  • Current MAC schemes face a dimensional mismatch between electrical and optical information, limiting high-dimensional data exploration.
  • Two-dimensional (2D) materials offer tunable properties for in situ encoding and sensing of multi-dimensional optical information.

Purpose of the Study:

  • To review progress in 2D-material-based integrated sensors for optoelectronic applications.
  • To unify information encoding by benchmarking electrical inputs with optical scenarios.
  • To explore opportunities and challenges in multi-dimensional information encoding for integrated sensors.

Main Methods:

  • Review of recent literature on 2D materials in optoelectronic sensing and computing.
  • Analysis of information encoding frameworks for electrical and optical data.
  • Benchmarking of device architectures and data algorithms for integrated sensors.

Main Results:

  • 2D materials show promise for integrated sensors capable of in situ encoding and precise control of multi-dimensional optical information.
  • A unified framework for information encoding is proposed, highlighting dimensional mismatches.
  • Retina-like functionalities and advanced optoelectronic sensing are facilitated by these materials.

Conclusions:

  • 2D-material-based integrated sensors represent a significant advancement in optoelectronics.
  • Addressing dimensional mismatches is crucial for unlocking the full potential of high-dimensional optical information.
  • Integrated sensors hold potential for diverse applications beyond current optoelectronic computing.