AI Article Synopsis

  • Recent research in two-dimensional (2D) materials is advancing in areas like theory, synthesis, and device applications, highlighting their potential across various emergent systems.
  • The study emphasizes the importance of understanding defects and intercalants in 2D materials, as well as the role of machine learning in improving synthesis and sensing processes.
  • The review also discusses the optical properties, multi-dimensional application potential, and future directions for advanced 2D material heterostructures in logic and quantum devices.

Article Abstract

Two-dimensional (2D) material research is rapidly evolving to broaden the spectrum of emergent 2D systems. Here, we review recent advances in the theory, synthesis, characterization, device, and quantum physics of 2D materials and their heterostructures. First, we shed insight into modeling of defects and intercalants, focusing on their formation pathways and strategic functionalities. We also review machine learning for synthesis and sensing applications of 2D materials. In addition, we highlight important development in the synthesis, processing, and characterization of various 2D materials (e.g., MXnenes, magnetic compounds, epitaxial layers, low-symmetry crystals, etc.) and discuss oxidation and strain gradient engineering in 2D materials. Next, we discuss the optical and phonon properties of 2D materials controlled by material inhomogeneity and give examples of multidimensional imaging and biosensing equipped with machine learning analysis based on 2D platforms. We then provide updates on mix-dimensional heterostructures using 2D building blocks for next-generation logic/memory devices and the quantum anomalous Hall devices of high-quality magnetic topological insulators, followed by advances in small twist-angle homojunctions and their exciting quantum transport. Finally, we provide the perspectives and future work on several topics mentioned in this review.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10324635PMC
http://dx.doi.org/10.1021/acsnano.2c12759DOI Listing

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