- Catalytic Processes in Materials Science
- Additive Manufacturing and 3D Printing Technologies
- Advanced Photocatalysis Techniques
- Manufacturing Process and Optimization
- Additive Manufacturing Materials and Processes
- Layered Double Hydroxides Synthesis and Applications
- Heat transfer and supercritical fluids
- Robotic Mechanisms and Dynamics
- Thermochemical Biomass Conversion Processes
- Catalysis for Biomass Conversion
- Catalysis and Oxidation Reactions
- CO2 Reduction Techniques and Catalysts
- Supercapacitor Materials and Fabrication
- Advanced Thermodynamics and Statistical Mechanics
- Catalysts for Methane Reforming
- Carbon dioxide utilization in catalysis
- Carbon Dioxide Capture Technologies
- Control and Dynamics of Mobile Robots
- Machine Learning in Materials Science
- Subcritical and Supercritical Water Processes
- Mesoporous Materials and Catalysis
- Oxidative Organic Chemistry Reactions
- Refrigeration and Air Conditioning Technologies
- Heat Transfer and Optimization
- Advanced Combustion Engine Technologies
Zhejiang Province Institute of Architectural Design and Research
2023-2024
Zhejiang University
2019-2024
Sichuan University
2024
Minzu University of China
2024
Harbin University of Commerce
2024
Chinese Academy of Sciences
2024
Tsinghua University
2018-2023
Beijing University of Chemical Technology
2021-2023
ShangHai JiAi Genetics & IVF Institute
2023
Beijing Academy of Artificial Intelligence
2023
Modern Deep Neural Network (DNN) accelerators are equipped with increasingly larger on-chip buffers to provide more opportunities alleviate the severe DRAM bandwidth pressure. However, most existing research on buffer utilization still primarily focuses single-layer dataflow scheduling optimization. As grow large enough accommodate weights in networks, impact of optimization communication diminishes significantly. Therefore, developing new paradigms that fuse multiple layers fully leverage...
Purpose The purpose of this paper is to verify the performance and function scale-up prototypes by predicting material energy consumption on basis dimension-reduced prototypes. Additive manufacturing (AM) costs determine carbon emissions in total life cycle, among which are major components. Predicting fundamental reducing costs. Design/methodology/approach This presents a co-optimization method for AM via multiple layers prediction (MLP). Material predicted reduce In particular, scalable,...
Revealing the structural evolution of real active site during photocatalysis is very important for understanding catalytic mechanism, but it remains a great challenge. By employing single atoms (SAs) as mechanism research platform, we investigated variation SA structure under light and corresponding reaction pathway controlment mechanism. In particular, taking defect anchoring strategy, Pt SAs are anchored on metal ion vacancy-rich ZnNiTi layered double hydroxide-etched (ZnNiTi-LDHs-E)...
Aiming at the comprehensive utilization of waste and renewable carbon resources, we achieved a photocatalytic coupling process CO 2 reduction 5-hydroxymethylfurfural oxidation mediated by anionic compound layered double hydroxides.
A comprehensive understanding of the thermal cracking behavior hydrocarbon fuels is important for protection applications and investigations into combustion thermally cracked fuels. In present study, n-dodecane selected as a surrogate aviation kerosene it subjected to series experiments at supercritical pressure. According variations in chemical heat sink, fuel-conversion rate, gas-production divided three regions: primary, secondary, severe. primary region, rate lower than 13%, liquid...
Coke formation is an obstacle in using hydrocarbons as the coolant hypersonic flight vehicles. In this paper, effective inhibition of coke deposition was realized by addition wall catalytic steam reforming, and corresponding mechanism revealed. The anticoking tests were evaluated during thermal cracking reforming processes endothermic hydrocarbon fuel under 3.0 MPa outlet temperature from 600 to 680 °C. amount properties deposited with without investigated on basis their...
This paper proposes a biomechanical performance design method of joint prosthesis for medical rehabilitation via Generative Structure Optimization (GSO). Firstly, the 3D reconstruction manifold structure involving hard bone and cartilage is sequentially progressively implemented from heterogeneous images such as Computed Tomography (CT) Magnetic Resonance Imaging (MRI) iteration. On basis reconstructed mesh structure, finite element (FEM) hereby employed to verify by evaluating mechanical...
This article proposes a support diminution design method for layered manufacturing of manifold surface based on variable orientation tracking (VOT). We aim at reducing the external or upholders to minimum with maximum possibility theoretically save material and diminish stripping effect (MSE), thereby improving bilateral precision either exterior interior. The cosmic gravity criterion is first used extract need from various materials by considering balance force involving characteristics...
Herein, a series of [email protected]x-Co catalysts were constructed for photocatalytic reduction CO2 with H2O. Structural characterizations found separate Co and Au nanoparticles (NPs) are produced, their ratios variable different temperatures. Especially NPs coated oxygen vacancy(VO)-rich TiOx overlayers due to the high-temperature induced topological transition, resulting in interfacial electron transfer generate Auδ--VO sites. In CO2, protected]x sites strongly influenced activity...
This paper presents a dexterity distribution design method for attitude adjustment of multi-joint robotics based on singularity-free workspace decomposition (SWD). The requirement platform is described by time-varying Euler angles, which the structural prototyping universal-prismatic-spherical + spherical (UPS S) parallel robot body can be generated via mechanism concept design. According to Kutzbach-Grubler formula regarding degree freedom (DOF), forward kinematics model built, meanwhile,...
Near-Data Processing (NDP) has been a promising architectural paradigm to address the memory wall challenge for data-intensive applications. Typical NDP systems based on 3D-stacked memories contain massive parallel processing units, each of which can access its local as well other remote regions in system. In such an architecture, minimizing data accesses and achieving computation load balance exhibit fundamental tradeoff, where existing solutions only improve one but sacrifice other. We...
Abstract We propose to fabricate a bifunctional photocatalyst for cooperative glycerol selective oxidation and H 2 evolution. The key role of interface scale (nanometer, subnanometer, or atomic level) on tuning catalysis performance was revealed. Specifically, series Pt/defective TiO with tailored were constructed by loading Pt nanoparticle, cluster, single atom V Ti ‐enriched . It uncovered that reducing could largely improve the visible‐light utilization efficiency, photoexcited...
Background: Hyperuricemia (HUA) is a disease characterized by excessive uric acid production and/or insufficient excretion caused abnormal purine metabolism in the human body. Uric deposition hyperuricemia can cause complications, such as kidney damage. The current therapeutic drugs for HUA are not very targeted and usually have specific toxic side effects. Objectives: This study aimed to synthesize compound using rhein praseodymium, which effectively help patients with injury excrete...
This paper presents an energy and exergy co-optimization method of integrated gasification combined cycle (IGCC) based on Fuzzy Supervisory Predictive Control (FSPC). Firstly, a green IGCC process is proposed which contains three principle couplings: air separation unit (ASU), heat recovery steam generator (HRSG) CO2 capture/storage (CCS). From law thermodynamics, using substance thermophysical parameters, the efficiency are successively defined. The power station has features such as closed...
As big data processing in the cloud becomes prevalent today, privacy on such public platforms raises critical concerns. Hardware-based trusted execution environments (TEEs) provide promising and practical for low-cost privacy-preserving processing. However, using TEEs to enhance security of analytics frameworks like Apache Spark involves challenging issues when separating various framework components into untrusted domains, demanding meticulous considerations programmability, performance,...