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Within the human body, a complex and detailed system of trillions of cells works in unison to sustain life. Each cell houses a nucleus, which contains 46 chromosomes divided into 23 pairs. Chromosomes are highly coiled structures made of the genetic material DNA. These chromosomes are essential carriers of genetic information, with half inherited from the mother through her egg and the other half from the father's sperm, combining to create the unique genetic makeup of an individual.
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    This perspective explores light-matter interactions in novel two-dimensional (2D) materials for energy and sensing applications. Computational methods reveal their optoelectronic properties, guiding future device development.

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    Area of Science:

    • Materials Science
    • Condensed Matter Physics
    • Nanotechnology

    Background:

    • Two-dimensional (2D) materials with tunable optoelectronic properties are crucial for energy and sensing applications.
    • The rapid expansion of 2D material types offers new avenues for optoelectronic device innovation.
    • Understanding light-matter interactions is key to unlocking the potential of these next-generation materials.

    Purpose of the Study:

    • To provide a concise overview of light-matter interactions in emerging 2D materials.
    • To explore fundamental optical absorption and emission characteristics using computational approaches.
    • To predict potential applications in photovoltaics and sensing, and guide experimental research.

    Main Methods:

    • Utilizing reliable computational approaches to study optical properties.
    • Investigating light-matter interactions in new-generation 2D materials.
    • Employing computational designing for material modification and performance enhancement.

    Main Results:

    • In-depth understanding of optical absorption and emission in 2D materials.
    • Prediction of potential applications in photovoltaics and chemical sensing.
    • Identification of computationally designed modifications for improved material performance.

    Conclusions:

    • Computational studies are vital for understanding and predicting the optoelectronic behavior of 2D materials.
    • Tailoring 2D materials through computational design can enhance performance for energy and sensing applications.
    • Addressing computational challenges is essential for advancing 2D material-based optoelectronics.