Deformation-induced gas adsorption and self-desorption dynamics of a carbon nano-network: Molecular dynamics modeling focusing on CO2 capture

IF 7.6 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Materials & Design Pub Date : 2024-09-12 DOI:10.1016/j.matdes.2024.113307
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Abstract

Gas adsorption and separation/desorption are two pivotal stages in gas capture, demanding additional energy for liberating gas molecules from the adsorbent. Hence, it’s essential to engineer an adsorbent with minimal energy consumption yet effective gas adsorption–desorption characteristics. Accordingly, this research introduces a carbon nano-network (CNN) material capable of inhaling and exhaling gases via self-deformation. Molecular dynamics simulations demonstrate that the gas adsorption–desorption capabilities of CNN can be efficiently regulated by its deformation. While the size of CNN minimally affects the gas sorption rate, a larger CNN necessitates a prolonged duration to achieve saturation under identical gas conditions. Incorporating elongated appendages in CNN enhances both its stability during contraction and its efficiencies in gas adsorption and desorption. We discerned that attaining a critical gas density within a confined space is imperative to initiate self-desorption of CNN. Specifically, if the gas density dips below this critical threshold–set at 5.2 times that of CO2 at room temperature (300 K) and atmospheric pressure (1 Bar)–CNN exhibits no self-desorption capability. Nevertheless, even a marginal elevation in gas density triggers and maintains self-desorption with a consistently surpassing desorption ratio of 98 %. This discovery offers valuable insights for designing automatic self-desorption materials or apparatuses.

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碳纳米网络的形变诱导气体吸附和自脱附动力学:以二氧化碳捕获为重点的分子动力学建模
气体吸附和分离/解吸是气体捕获的两个关键阶段,需要额外的能量才能将气体分子从吸附剂中释放出来。因此,必须设计出一种能耗最低但又具有有效气体吸附-解吸特性的吸附剂。因此,本研究介绍了一种能够通过自我变形吸入和呼出气体的碳纳米网络(CNN)材料。分子动力学模拟证明,碳纳米网络的气体吸附和解吸能力可通过其变形进行有效调节。虽然 CNN 的尺寸对气体吸附率的影响微乎其微,但在相同的气体条件下,较大的 CNN 需要较长的持续时间才能达到饱和。在 CNN 中加入细长的附属物既能增强其收缩时的稳定性,又能提高其气体吸附和解吸的效率。我们发现,在密闭空间内达到临界气体密度是启动 CNN 自我解吸的必要条件。具体来说,如果气体密度低于这个临界值--在室温(300 K)和大气压力(1 Bar)下,气体密度设定为二氧化碳的 5.2 倍--氯化萘就不会表现出自吸附能力。然而,即使气体密度稍有升高,也会触发并保持自解吸,解吸率始终超过 98%。这一发现为设计自动自吸附材料或装置提供了宝贵的启示。
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来源期刊
Materials & Design
Materials & Design Engineering-Mechanical Engineering
CiteScore
14.30
自引率
7.10%
发文量
1028
审稿时长
85 days
期刊介绍: Materials and Design is a multi-disciplinary journal that publishes original research reports, review articles, and express communications. The journal focuses on studying the structure and properties of inorganic and organic materials, advancements in synthesis, processing, characterization, and testing, the design of materials and engineering systems, and their applications in technology. It aims to bring together various aspects of materials science, engineering, physics, and chemistry. The journal explores themes ranging from materials to design and aims to reveal the connections between natural and artificial materials, as well as experiment and modeling. Manuscripts submitted to Materials and Design should contain elements of discovery and surprise, as they often contribute new insights into the architecture and function of matter.
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