Wang Shuo, Yin Hang, Li Yang, Du Zhen, Zhang Yu-Mo, Zhang Sean Xiao-An
State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun, 130012, P. R. China.
Institute of Atomic and Molecular Physics, Jilin University, Changchun, 130012, P. R. China.
Adv Sci (Weinh). 2024 Sep;11(35):e2400979. doi: 10.1002/advs.202400979. Epub 2024 Jul 12.
Reconstructing the visible spectra of real objects is critical to the spectral camouflage from emerging spectral imaging. Electrochromic materials exhibit unique superiority for this goal due to their subtractive color-mixing model and structural diversity. Herein, a simulation model is proposed and a method is developed to fabricate electrochromic devices for dynamically reproducing the visible spectrum of the natural leaf. Over 20 kinds of pH-dependent leuco dyes have been synthesized/prepared through molecular engineering and offered available spectra/bands to reconstruct the spectrum of the natural leaf. More importantly, the spectral variance between the device and leaf is optimized from an initial 98.9 to an ideal 10.3 through the simulation model, which means, the similarity increased nearly nine-fold. As a promising spectrum reconstruction approach, it will promote the development of smart photoelectric materials in adaptive camouflage, spectral display, high-end encryption, and anti-counterfeiting.
重建真实物体的可见光谱对于新兴光谱成像中的光谱伪装至关重要。电致变色材料由于其减色混合模型和结构多样性,在实现这一目标方面具有独特优势。在此,我们提出了一个模拟模型并开发了一种方法来制造电致变色器件,以动态再现天然叶片的可见光谱。通过分子工程合成/制备了20多种pH依赖型无色染料,并提供了可用的光谱/波段来重建天然叶片的光谱。更重要的是,通过模拟模型,器件与叶片之间的光谱差异从最初的98.9优化到了理想的10.3,这意味着相似度提高了近九倍。作为一种有前景的光谱重建方法,它将推动智能光电材料在自适应伪装、光谱显示、高端加密和防伪等领域的发展。