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Environmentally Sustainable and Multifunctional Chrome-like Coatings Having No Chromium Designed with Reinforcement Learning
ACS Applied Materials & Interfaces ( IF 8.3 ) Pub Date : 2023-06-02 , DOI: 10.1021/acsami.3c02993
Anwesha Saha 1 , Taigao Ma 2 , Haozhu Wang 3 , L Jay Guo 1, 3
Affiliation  

Decorative chrome plating (DCP) continues to be ubiquitous in creating highly appealing metal finishings and coatings, beating out other organic dye-based finishes. However, the hazardous chrome plating process is fraught with adverse health effects for the workers involved and causes significant environmental damage. In this work, we present a multilayer thin film structure to mimic the chrome appearance. To find a design efficiently, we employ a reinforcement learning (RL) algorithm to perform an automatic inverse design. This results in structures composed of environmentally friendly materials that not only have the chrome color but can also achieve additional functions beyond decoration. As an example, one structure is designed to have high transmission in the radio frequency regime, a property that general metals cannot have, which can broaden the decorative chrome applications to include microwave operating devices. The experimental structures are fabricated by physical vapor deposition to demonstrate the indistinguishable chrome color and validate the effectiveness of the RL inverse design approach.

中文翻译:

通过强化学习设计的不含铬的环境可持续和多功能类铬涂层

装饰性镀铬 (DCP) 在创造极具吸引力的金属饰面和涂层方面继续无处不在,击败了其他有机染料饰面。然而,危险的镀铬工艺对相关工人的健康充满不利影响,并造成严重的环境破坏。在这项工作中,我们提出了一种多层薄膜结构来模仿铬的外观。为了有效地找到设计,我们采用强化学习 (RL) 算法来执行自动逆向设计。这导致由环保材料组成的结构不仅具有铬色,而且还可以实现装饰以外的附加功能。例如,一种结构被设计成在射频范围内具有高传输率,这是一般金属所不具备的特性,这可以拓宽装饰性镀铬应用,包括微波操作设备。实验结构是通过物理气相沉积制造的,以展示无法区分的铬色,并验证 RL 逆向设计方法的有效性。
更新日期:2023-06-02
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