Luyao Guo

Changzhou University

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Yunjie Ding

Zhejiang Normal University

Xiaoling Mou

Hangzhou Normal University

Ronghe Lin

Zhejiang Normal University

Ziang Zhao

Chinese Academy of Sciences

Jiaxu Liu

Dalian University

Yundou Xu

Yanshan University

Hejun Zhu

Dalian Institute of Chemical Physics

Yan Li

Chinese Academy of Sciences

Xinli Shi

Southeast University

Shiyi Wang

Jiangnan University

Cooperative Institutions

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Institute of Zoology

Dalian Institute of Chemical Physics

Center for Excellence in Molecular Cell Science

Yanshan University

State Key Laboratory of Stem Cell and Reproductive Biology

Dalian National Laboratory for Clean Energy

Tsinghua University

Zhejiang Normal University

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Defect-driven nanostructuring of low-nuclearity Pt-Mo ensembles for continuous gas-phase formic acid dehydrogenation

Nature Communications (2023)

Luyao Guo Kaixuan Zhuge Siyang Yan Shiyi Wang Jia Zhao

Supported metal clusters comprising of well-tailored low-nuclearity heteroatoms have great potentials in catalysis owing to the maximized exposure of active sites and metal synergy. However, atomically precise design of these architectures is still challenging for the lack of practical approaches. Here, we report a defect-driven nanostructuring strategy through combining defect engineering of nitrogen-doped carbons and sequential metal depositions to prepare a series of Pt and Mo ensembles ranging from single atoms to sub-nanoclusters. When applied in continuous gas-phase decomposition of formic acid, the low-nuclearity ensembles with unique Pt3Mo1N3 configuration deliver high-purity hydrogen at full conversion with unexpected high activity of 0.62 molHCOOH molPt-1 s-1 and remarkable stability, significantly outperforming the previously reported catalysts. The remarkable performance is rationalized by a joint operando dual-beam Fourier transformed infrared spectroscopy and density functional theory modeling study, pointing to the Pt-Mo synergy in creating a new reaction path for consecutive HCOOH dissociations.

Nanoclusters

Heteroatom

10.1038/s41467-023-42759-5

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Citations (18)

BALPA: A Balanced Primal-Dual Algorithm for Nonsmooth Optimization with Application to Distributed Optimization

arXiv (Cornell University) (2022)

Luyao Guo Jinde Cao Xinli Shi Shaofu Yang

In this paper, we propose a novel primal-dual proximal splitting algorithm (PD-PSA), named BALPA, for the composite optimization problem with equality constraints, where the loss function consists of a smooth term and a nonsmooth term composed with a linear mapping. In BALPA, the dual update is designed as a proximal point for a time-varying quadratic function, which balances the implementation of primal and dual update and retains the proximity-induced feature of classic PD-PSAs. In addition, by this balance, BALPA eliminates the inefficiency of classic PD-PSAs for composite optimization problems in which the Euclidean norm of the linear mapping or the equality constraint mapping is large. Therefore, BALPA not only inherits the advantages of simple structure and easy implementation of classic PD-PSAs but also ensures a fast convergence when these norms are large. Moreover, we propose a stochastic version of BALPA (S-BALPA) and apply the developed BALPA to distributed optimization to devise a new distributed optimization algorithm. Furthermore, a comprehensive convergence analysis for BALPA and S-BALPA is conducted, respectively. Finally, numerical experiments demonstrate the efficiency of the proposed algorithms.

Interior point method

10.48550/arxiv.2212.02835

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Decentralized Inexact Proximal Gradient Method With Network-Independent Stepsizes for Convex Composite Optimization

arXiv (Cornell University) (2023)

Luyao Guo Xinli Shi Jinde Cao Zihao Wang

This paper proposes a novel CTA (Combine-Then-Adapt)-based decentralized algorithm for solving convex composite optimization problems over undirected and connected networks. The local loss function in these problems contains both smooth and nonsmooth terms. The proposed algorithm uses uncoordinated network-independent constant stepsizes and only needs to approximately solve a sequence of proximal mappings, which is advantageous for solving decentralized composite optimization problems where the proximal mappings of the nonsmooth loss functions may not have analytical solutions. For the general convex case, we prove an O(1/k) convergence rate of the proposed algorithm, which can be improved to o(1/k) if the proximal mappings are solved exactly. Furthermore, with metric subregularity, we establish a linear convergence rate for the proposed algorithm. Numerical experiments demonstrate the efficiency of the algorithm.

Sequence (biology)

Proximal Gradient Methods

Constant (computer programming)

10.48550/arxiv.2302.03238

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The effect of accessibility to acid sites in Y zeolites on ring opening reaction in light cycle oil hydrocracking

Chemical Synthesis (2025)

Ping Yang Siyang Yan Ning He Hong Nie Luyao Guo

The light cycle oil (LCO) hydrocracking process converts polycyclic aromatics into highly valuable light aromatics such as benzene, toluene, xylene (BTX), in accordance with the requirements of low-carbon development and high-quality transformation from oil refining to chemical industry. The accessibility of acid sites is a critical factor that impacts LCO conversion and BTX yield. Initially, the fine structure and molecular size of the typical polycyclic aromatics in LCO and their hydrogenation reaction intermediates were investigated through gas chromatography-mass spectrometry (GC-MS) analysis and density functional theory (DFT) calculations. Three porous Y zeolites with comparable Si/Al molar atomic ratios and pyridine (Py)-measured Brønsted acid amounts were chosen as an acidic component to prepare NiMo/(Al2O3 + HY) catalysts. The acid accessibility of HY zeolite was characterized via dual-beam infrared spectroscopy using 2,4,6-tri-tert-butylpyridine (2,4,6-TTBPy) and trihexylamine (THA) as probe molecules, and the LCO hydrocracking performance was evaluated on a fixed-bed reactor. The results revealed that bicyclic aromatic hydrocarbons featuring multiple, short side chains such as dimethylnaphthalene and trimethylnaphthalene are the main components of LCO, with sizes larger than those of HY zeolite micropores. There is a strong positive correlation between LCO conversion and ring-opening rate of polycyclic aromatics and cycloalkanes in LCO. Among these three HY zeolite catalysts, the ring-opening rates of polycyclic aromatics and cycloalkanes, and the yields of C6-C12 aromatics and BTX increased in the order of HY1 < HY2 < HY3, which is consistent with external surface acidity measured by THA as the probe molecule.

Light crude oil

10.20517/cs.2024.133

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Versatile programmable somatosensory soft actuators based on highly conductive and robust MXene-integrated hydrogel

Journal of Materials Science (2024)

Jianfeng Ma Shaoshuai Ma Mengtian Shang Luyao Guo Cong Liu

Soft Robotics

10.1007/s10853-024-10425-w

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Balancing redox and acidic properties for optimizing catalytic performance of SCR catalysts: A case study of nanopolyhedron CeO -supported WO

Journal of environmental chemical engineering (2021)

Jiazhe Chen Luyao Guo Hongchang Zhu Yu Qiu Dejia Yin

Selective catalytic reduction

10.1016/j.jece.2021.105828

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Nickel‐Catalyzed Dry Reforming of Methane via Modulating the Zirconia Shapes

ChemCatChem (2023)

Ruifan Tan Ping Wang Luyao Guo Zupeng Chen Ronghe Lin

Abstract The shape of the carriers has a profound impact on the catalytic performance of metal‐supported catalysts. Herein, ZrO 2 of different shapes (nanorods‐like, spherical or irregular nanoparticles, demoted as RZ, SPZ, and IPZ, respectively) are adopted to disperse Ni species to assess the shape effects on the catalytic performance in dry reforming of methane. To this end, the fresh and spent catalysts are thoroughly characterized by multiple techniques including N 2 sorption, powder X‐ray diffraction, temperature‐programmed reduction with H 2 , thermogravimetric analyses, transmission electron microscopy, Raman and X‐ray photoelectron spectroscopies. It is revealed that the reducibility of NiO species follows the orders of Ni/RZ<Ni/SPZ<Ni/IPZ. Consequently, Ni/RZ and Ni/SPZ show lower dehydrogenation activity than Ni/IPZ, but the more abundant lattice oxygen species promote the gasification of carbonaceous deposits. Therefore, the shape design of the carriers provides a new perspective in mediating the catalytic performance of Ni/ZrO 2 in the reforming reaction.

Carbon dioxide reforming

Non-blocking I/O

Nanorod

Thermogravimetric analysis

10.1002/cctc.202300136

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Citations (3)

RandCom: Random Communication Skipping Method for Decentralized Stochastic Optimization

arXiv (Cornell University) (2023)

Luyao Guo Sulaiman A. Alghunaim Kun Yuan Laurent Condat Jinde Cao

Distributed optimization methods with random communication skips are gaining increasing attention due to their proven benefits in accelerating communication complexity. Nevertheless, existing research mainly focuses on centralized communication protocols for strongly convex deterministic settings. In this work, we provide a decentralized optimization method called RandCom, which incorporates probabilistic local updates. We analyze the performance of RandCom in stochastic non-convex, convex, and strongly convex settings and demonstrate its ability to asymptotically reduce communication overhead by the probability of communication. Additionally, we prove that RandCom achieves linear speedup as the number of nodes increases. In stochastic strongly convex settings, we further prove that RandCom can achieve linear speedup with network-independent stepsizes. Moreover, we apply RandCom to federated learning and provide positive results concerning the potential for achieving linear speedup and the suitability of the probabilistic local update approach for non-convex settings.

Speedup

Communication Complexity

10.48550/arxiv.2310.07983

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Defect-driven nanostructuring of low-nuclearity Pt-Mo ensembles for continuous gas-phase formic acid dehydrogenation

Figshare (2023)

Luyao Guo Kaixuan Zhuge Siyang Yan Shiyi Wang Jia Zhao

These datasets contain the source data for Figs. 2-5 in the article "Defect-driven nanostructuring of low-nuclearity Pt-Mo ensembles for continuous gas-phase formic acid dehydrogenation".

10.6084/m9.figshare.23896251

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Design and analysis of a truss deployable antenna mechanism based on a 3UU-3URU unit

Chinese Journal of Aeronautics (2019)

Yundou Xu Jinwei Guo Luyao Guo Wenlan Liu Jiantao Yao

Space deployable structures with large calibers, high accuracy, and large folding ratios are indispensable equipment in the aerospace field. Given that the single-DOF 3RR-3RRR deployable unit cannot be fully folded, this study proposes a 3UU-3URU deployable unit with two kinds of DOF: folding movement and orientation adjustment. First, based on the G-K formula, the DOF of the 3UU-3URU unit is analyzed. Then, the 3UU-3URU unit is used to construct a deployable truss antenna with a curved surface, and the DOF of the whole deployable antenna containing multiple 3UU-3URU units is calculated. The structural design of a deployable antenna with two loops is carried out with specific parameters and geometric relations. Next, a DOF simulation of a basic combination unit composed of three 3UU-3URU units is performed. Finally, a prototype of the basic combination unit is manufactured, and the DOF of the mechanism is experimentally verified.

Folding (DSP implementation)

10.1016/j.cja.2018.12.008

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Citations (23)