Online first

Latest issue

2026-03-31 2026, Volume 58 Issue 3
Previous     
  • Select all
    Views & Comments
  • Min Chen, Guifu Si, Changle Chen
  • Research
  • Article
    Qianyue Feng, Shengming Li, Feng Jiang, Panpan Xu, Yeping Xie, Mingyu Chu, Zhongyu Li, Weilin Tu, Muhan Cao, Qiao Zhang, Jinxing Chen
    The chemical upcycling of waste plastics has emerged as a cornerstone of ecological development and the circular economy. However, the high entropy of polymers during chemical conversion severely limits catalytic activity, emphasizing the urgent need to establish robust polymer–catalyst interactions to mitigate entropy-related constraints. Herein, we present a universal entropy-reduction engineering strategy that optimizes polyolefin–catalyst interactions via a novel surface polarity reconstruction method. By modifying catalyst surfaces with coupling agents, this approach effectively restricts the molecular freedom of polyolefins during hydrogenolysis, enabling stable transition-state adsorption on the catalyst surface and facilitating the efficient conversion of waste polyolefins into liquid fuels. Beyond improving the performance of various supported metal catalysts, this strategy achieves the efficient and stable hydrogenolysis of diverse polyolefin wastes, including commercial samples, demonstrating significant industrial application potential and advancing the sustainable upcycling of polyolefins.
  • Article
    Marco Rollo, Francesca Rastelli, Marta Ximenis, Elisa Martinelli, Gianluca Ciancaleoni, Haritz Sardon
    Approximately one-third of the global nylon production is accounted for by polyamide 6,6 (PA 66), with an annual output of 2.5 million tonnes. Despite its limited biodegradability, few end-of-life recycling strategies have been developed for PA 66. In this work, PA 66 is quantitatively depolymerized into its monomers: adipic acid and hexamethylenediamine (recovered as diammonium dichloride) using a naturally abundant iron-based Lewis/Brønsted acidic deep eutectic solvents (LBDESs) at 180 °C in 5 h. After optimization of the reaction conditions and work-up procedure, the overall monomer recovery yield exceeds 85%. The process is effective not only for virgin PA 66 in pellet and fiber forms but also with real post-consumer 100% nylon hosiery. Furthermore, environmental performance metrics for this method were evaluated and compared to previously reported depolymerization processes, indicating that the present approach is competitive.
  • Article
    Subramanian Harisankar, Juliano Souza dos Passos, Sofie Klara Gissel Skibsted, Esben Damgaard, Patrick Biller
    Hydrothermal liquefaction (HTL) is a promising technology with huge potential for the chemical recycling of plastic waste. Herein, a two-stage sequential HTL process is proposed for the conversion of acrylonitrile–butadiene–styrene (ABS) plastic to produce energy-dense oils with minimal nitrogen content. In the first step, ABS is denitrogenated using subcritical water (250–350 °C) and an alkaline potassium hydroxide (KOH) catalyst to produce solid product 1 (SP1) and aqueous phase 1 (AP1). A 95% denitrogenation efficiency of ABS is achieved at 325 °C in 20 min, with a catalyst load of 0.30 grams of KOH per gram of ABS. Under these conditions, the nitrile bonds in ABS are hydrolyzed to form a potassium– ABS salt complex that migrates to AP1. This AP1 is then neutralized with hydrochloric acid (HCl) to produce the denitrogenated solid product 2 (SP2). The nitrogen from ABS is easily removed as ammonia (NH3) by evaporation. SP1 and SP2 from stage 1 are then liquefied at the second hydrothermal step (375–425 °C, 250 bar) to produce low-nitrogen-containing oils with high heating values up to 41.6 MJ∙kg−1. The oils primarily consist of mono-, di-, and poly-aromatic compounds, with boiling ranges similar to those of kerosene and vacuum gas oil. The gases from the supercritical HTL contain C2–C5 hydrocarbons. The results indicate that the two-stage sequential HTL is successful in removing nitrogen from the ABS and producing nitrogen-free aromatics, with much greater efficiency than the single-stage supercritical HTL of ABS.
  • Article
    Bin Yuan, Mingze Zhao, Wei Zhang, Siwei Meng, Aoran Jin, Birol Dindoruk
    Motivated by the global energy transition and subsurface energy resource (oil, gas, coal-bed-methane, geothermal, etc.) development, subsurface hydraulic fracturing technology is undergoing a paradigm shift from traditional experience-driven approaches to data- or intelligence-driven techniques. This work systematically elaborates on the connotation, recent practices, and future trends of artificial intelligence (AI)-driven subsurface hydraulic fracturing technology. This work proposes a three-step technical evolution framework centered on data-driven→dynamic optimization→autonomous decision-making. Recent key practices in the framework are also introduced, including smart characterization and optimization of hydraulic fracturing, smart forecast of production operation after fracturing, and real-time regulation of entire fracturing-to-production lifecycle. The smart characterization of three-dimensional fracture propagation is achieved by constructing the Dy-Fracture-Net model. A dual-model collaborative architecture is developed to enable real-time warning and smart optimization during the fracturing process. Furthermore, the innovative Dy-Production-Net network is designed to predict the dynamics of post-fracturing reservoir parameters and production. Through integrating with intelligent optimization algorithms, a real-time regulation system encompassing the entire fracturing-to-production workflow is formed. To address the bottlenecks such as the lack of downhole monitoring data and insufficient model interpretability, future efforts are recommended as follows: miniaturization of multimodal perception agents, self-interpretability of mechanism-data fusion modeling, and autonomous closed-loop control. The findings of this work provide theoretical support and practical pathways for realizing the future AI-driven subsurface fracturing technology, holding significant strategic importance for advancing the digital transformation of the oil and gas industry.
  • Article
    Yuxuan Cao , Kuai Yang , Yingchun Guan , Zhen Zhang

    The non-physical-contact property of lasers poses significant challenges for the alignment procedure in precision engineering. Particularly in galvanometer-based laser processing systems, the requirement for multiple-step coordinate conversion further complicates the alignment procedure, thereby increasing the potential for error accumulation. To address the alignment issues during galvanometer laser scanning, this paper proposes an alignment-error-free solution for full-in-situ imaging and laser processing system, which eliminates the alignment error at the principal level by skipping the coordinate conversion and directly extracting angular coordinates for laser scanning from the captured images. Compared with the existing galvanometer-based laser processing systems, the main advantage of the proposed method is its ability to achieve alignment-error-free without requiring calibration, making it particularly suitable for small-batch, highly customized, and complex processing tasks. This system specifically facilitates in-line inspection, detection, and measurement during laser fabrications. Furthermore, two experimental cases in pan-semiconductor manufacturing, which includes flexible printed circuits (FPC) cutting and Micro-LEDs defect detection, have been conducted to demonstrate the validation of the proposed full-in-situ processing system. Correspondingly, the current experimental comparisons highlight the superiority of the proposed system for simultaneously achieving a maximum range of 27 mm × 27 mm and a minimum resolution of 0.412 µm, with a maximum processing error <15 µm. Demonstrations in detecting and processing the complex patterns illustrate its exceptional capabilities in alignment-error-free laser processing for precision manufacturing.

  • Article
    Yu Gao , Jing Li , Shijing Zhang , Jie Deng , Weishan Chen , Yingxiang Liu

    Reconfigurable robots have been widely used in the fields of environmental exploration and multi-task applications, benefitting from their high adaptability and multi-functionality. The module size and reconfiguration strategy are two key factors determining the locomotion characteristics and application scenarios. Traditional reconfigurable robots face challenges in operating in narrow spaces due to the large individual modules that use complex drive and transmission mechanisms; the incompetent reconfiguration strategy limits the diversity of robot configurations and functions. Here we propose a novel high-integration module using built-in-ceramic actuation unit and construct a series of centimeter-scale piezo robots with a new reconfiguration strategy. The actuation unit achieves ultra-high locomotion speed (90.3 body length per second) and high carrying capability (31.6 times self-weight). The high-integration module, including control, communication and power-supply units, achieves a movement speed of 590 mm per second. Multi-position magnetic connection is designed to achieve the reconfiguration among the modules, and a method is proposed to help select suitable configuration for specific requirements. Such strategy enables the centimeter-scale piezo robot to cope with various flat work scenarios and achieve wireless image capture, exhibiting great potential for different applications. This work provides inspiration for structural design and functional realization in the field of miniature reconfigurable robots.

  • Article
    Biao Wang , Feifeng Huang , Qiancheng Wang , Zhao Chen , Hongbin Chen , Quan Wang , Qiu Shao , Yiqin Chen , Zhengyuan Wu , Bo Feng , Ming Ji , Huigao Duan

    The backside power-delivery network (BSPDN) has emerged as a promising solution to address wiring congestion challenges in advanced nodes beyond the 3 nm technology threshold. In this study, we demonstrate a novel ruthenium (Ru)-based nano through-silicon via (n-TSV) interconnection technology fabricated on a silicon-on-insulator (SOI) substrate for BSPDN implementation. After fabricating a scallop-free n-TSV array with a high aspect ratio (AR) (10.4:1.0) using an advanced multi-step etching process, pure Ru metallization was achieved with a resistivity of 19.9 μΩ·cm. The double-side interconnection adopts a combination of an extreme wafer-thinning technique (final thickness: 500 nm; total thickness variation (TTV): < 15 nm) and a plasma-assisted all-dry revealing process, achieving high-precision n-TSV exposure from the backside of the substrate while preserving sidewall dielectric liner integrity (< 1 nm loss). A dry recess etch of Ru in n-TSVs was first developed, with significant selectivity (Ru-to-liner oxide ratio > 50:1), effectively eliminating the metallic sidewall residues. The further extracted average line resistance of the Ru-filled n-TSVs was as low as 29 Ω·μm−1. Finally, after 100 thermal cycling tests (–40 to 125 °C), the relative resistance change remained below 1%, demonstrating the superior reliability and stability of the Ru-based interconnects in the BSPDN. These advancements establish a robust interconnection solution for achieving energy-efficient three-dimensional integrated circuit architectures.

  • Article
    Hui Li , Ning Xie , Xue Zhang , Lijun Sun , John T. Harvey , Lei Wang

    Due to low reflectance (5%–10%) of black asphalt pavement, most of the incident solar radiation (295–2500 nm) is absorbed and stored. This results in the high temperature (even exceeding 70 °C in summer) of the pavement surface, which leads to pavement diseases, exacerbates the heat island effect, and reduces human thermal comfort. Reflective pavement coating with high reflectance ranging from 20% to 80% is an effective way to solve the above problems. However, excessively improving the visible reflectance and ignoring the mixed reflection behavior (including specular and diffuse reflection properties) may cause glare problems and negatively affect road light environment safety. Therefore, precise control of reflectance is very significant. In this study, an automated test platform of reflection behavior was developed to investigate the mixed light reflection distribution pattern of reflective coating. Additionally, the impact of reflective coating on the light environment was explored. It was found that there was obvious specular reflection under conditions of a low incidence angle (less than 10°). Moreover, reflective coating could change the lightness index and specular reflection coefficient of traditional pavement. Finally, considering glare during the daytime and the nighttime illumination safety, the control indexes of reflective pavement coating were proposed. The visible reflectance and specular reflection coefficient should be lower than 22% and 1.5, respectively. The results will provide a theoretical basis for the precise and safe design of reflective pavement coatings to improve driving safety as well as the pavement light and thermal environment.

  • Article
    Qingrui Zeng , Ziang Jia , Yingyang Song , Yiwen Fan , Xu Liu , Jinping Cheng

    Carbon dioxide capture and storage (CCS) is an important technological path for realizing “carbon neutrality,” where carbon capture is one of the three key CCS technologies. At present, mature carbon capture technologies still have technical shortcomings and difficulties, such as low capture efficiency and high energy consumption, which limit their large-scale popularization and application. In this study, a solid–liquid phase change absorbent (PCA) system with isophorone diamine (IPDA) as the only carbon dioxide (CO2) capture carrier and ketone-based organic molecules as the phase change medium was developed. The solid–liquid PCA system has a wide range of applicability, with highly efficient CO2 capture (1.11 mol·mol−1) at concentrations ranging from typical values in air to those in coal-fired industrial emissions (400 to 150 000 ppm) and low-energy consumption regeneration, as revealed by a two-phase integrated engineering model. The CO2 absorption product IPDA(NHCOO)2 was characterized by materials science analysis, molecular dynamics (MD) calculations and quantum chemistry. The results indicate that in noncyclic ketone-based phase-change media, the hydrogen bonding in IPDA(NHCOO)2 is modulated by noncovalent bond interaction (NCI) forces to form a small-scale hydrogen-bonding network. These properties ensure that the product can be easily regenerated by low-temperature thermal treatment (333 K, 60 °C), and characterization and calculations revealed a reaction mechanism different from that of the aqueous system. The technoeconomic evaluation (TEA) results show that this type of ketone-based PCA has an obvious low-cost advantage over traditional carbon capture technologies. This study provides a new perspective on the application and practical feasibility of PCAs for direct air capture of carbon dioxide.

  • Article
    Luyao Dong , Wenting Dong , Yixin Ren , Chunjie Xu , Xiukun Wang , Peiyi Sun , Yao Meng , Congran Li , Guoqing Li , Jiandong Jiang , Hao Wang , Xuefu You , Xinyi Yang

    Idiopathic pulmonary fibrosis (IPF) denotes a chronic, advancing, and life-threatening lung disorder. Dysregulated cytokines, particularly those in the transforming growth factor-β (TGF-β)-associated signaling pathway, drive the pathological development of IPF. Natural products derived from traditional Chinese medicine hold great potential as promising therapeutic candidates for IPF. This study integrated machine learning (ML) with experimental validation to identify TGF-β/small mother against decapentaplegic (SMAD) pathway inhibitors from natural compounds. An in-house library was screened by means of a dual-luciferase reporter assay, revealing the flavonoid dihydromyricetin (DHM) as the most potent inhibitor. In vitro, DHM suppressed TGF-β1-triggered epithelial–mesenchymal transition (EMT) in A549 cells and fibroblast transdifferentiation in medical research council cell strain 5 (MRC-5) cells. In vivo, DHM attenuated fibrosis and inflammatory responses in a bleomycin (BLM)-triggered pulmonary fibrosis mouse model. Mechanistic studies revealed that DHM targets the type I TGF-β receptor (known as ALK5), reduces its membrane expression, binds directly to the receptor and represses its kinase activity, ultimately downregulating the TGF-β/ALK5 pathway. The present research is the first to report DHM as a TGF-β/SMAD inhibitor identified through ML with therapeutic efficacy against IPF. DHM’s anti-fibrotic effects are mediated through ALK5 blockade, suppressing downstream signaling, EMT, and fibroblast activation. These findings not only highlight DHM’s latent ability to act as a novel remedy for IPF but also underscore the utility of computational approaches in natural product drug discovery.

  • Review
    Qingsong Zhang , Xilong Wang , Li Lian Wong , Shikai Liu , Ming Li , Guoqing Wang

    Aquatic products play a crucial role in fulfilling the growing demand of the world’s population for food and provide essential health benefits owing to their high protein and omega-3 fatty acid concentrations that are often lacking in land-based diets. The rapid expansion of aquaculture as a burgeoning food production system has resulted in considerable food safety challenges, particularly concerning the presence of intrinsic toxins (e.g., marine toxins), environmental pollutants (e.g., heavy metals, microplastics, and pathogens), and regulatory issues. Notably, China’s maritime renaissance, which is reshaping the nation’s approach to food security and dietary structures, necessitates urgent solutions owing to its impact on one-fifth of the global population. In response to these pressing challenges, nanostructures have recently been investigated as promising tools for the detection and elimination of hazardous contaminants in aquaculture. Because of their large surface areas and adjustable physicochemical properties, nanostructures can be engineered with antibodies, aptamers, and functional ligands to function as indicators, signal amplifiers, photocatalysts, and separation tools across a wide range of targeted applications. This review presents the latest advancements in the application of nanostructures for safeguarding aquacultural environments and food products. It begins with an overview of aquacultural safety challenges and currently established solutions, followed by a comprehensive analysis of how diverse nanostructures are being utilized for the detection and elimination of hazardous substances from aquacultural systems and products. The review also presents a discussion on the integration of nanostructures into existing aquaculture practices, emphasizing the potential of nanostructures in revolutionizing hazard management by providing rapid, sensitive, and sustainable solutions. Finally, future perspectives on the integration of nanostructures for enhancing aquaculture safety are presented. By addressing both current challenges and future directions, this review underscores the transformative impact of nanostructures in fostering safer and more sustainable aquaculture, contributing to the advancement of global food security.

  • Article
    Pan Dou, Yayu Li, Suhaib Ardah, Tonghai Wu, Min Yu, Thomas Reddyhoff, Yaguo Lei, Daniele Dini
    The thickness of the lubricating film plays a vital role in the operational efficiency and reliability of rolling bearings. Ultrasonic reflection techniques offer a promising noninvasive approach for the in situ evaluation of lubricant films. However, accurate identification of the central film thickness remains challenging because of several complex factors, which include dynamic fluctuations, localized elastic deformation, cavitation effects, and variations in the oil supply. In this study, a comprehensive theoretical and numerical framework for elucidating the effects of these factors on ultrasonic wave propagation in lubricated contacts is presented. Numerical simulations in which the elastohydrodynamic lubrication (EHL) regime and cavitation-induced effects are considered are carried out to obtain surface deformation profiles and identify cavitation regions. High-fidelity acoustic simulations are subsequently conducted to interpret the reflected ultrasound data. The reflection coefficient distribution exhibits a symmetric ‘‘double peak with central valley” pattern that is induced by the combined effect of the contact geometry and the EHL-induced oil film thickness distribution. Cavitation causes the central valley to shift toward the inlet region and increases the reflection coefficient. Accordingly, the central film thickness is extracted from the distribution of the reflection coefficient under different operating conditions. Experimental validation using both glass–oil–steel and steel–oil–steel bearing setups confirms the effectiveness of the proposed method. The high-resolution fluorescence measurement that is adopted in the glass–oil–steel configuration validates the simulation of the reflection coefficient distribution. Furthermore, theoretical EHL calculations are performed for the steel–oil–steel configuration to validate the measurement accuracy for the central oil film thickness.
  • Xifan Wang, Pengjie Wang, Yixuan Li, Huiyuan Guo, Ran Wang, Siyuan Liu, Ju Qiu, Xiaoyu Wang, Yanling Hao, Yunyi Zhao, Haiping Liao, Zhongju Zou, Josephine Thinwa, Rong Liu