Shu Li

ORCID: 0000-0003-1742-2480
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Solidification and crystal growth phenomena
  • Aluminum Alloy Microstructure Properties
  • Metallurgical Processes and Thermodynamics
  • Face and Expression Recognition
  • nanoparticles nucleation surface interactions
  • Advanced Clustering Algorithms Research
  • X-ray Diffraction in Crystallography
  • Metal and Thin Film Mechanics
  • Advanced Nanomaterials in Catalysis
  • Mechanical Behavior of Composites
  • Advanced biosensing and bioanalysis techniques
  • Machine Learning in Materials Science
  • Tribology and Wear Analysis
  • High Entropy Alloys Studies
  • Metallurgy and Material Forming
  • Electrochemical sensors and biosensors
  • Crystallization and Solubility Studies
  • Complex Network Analysis Techniques
  • Fatigue and fracture mechanics
  • Advanced Battery Technologies Research
  • Metallic Glasses and Amorphous Alloys
  • Structural Health Monitoring Techniques
  • Speech and Audio Processing
  • Slime Mold and Myxomycetes Research
  • Advanced Battery Materials and Technologies

Harbin University of Science and Technology
2015-2025

University of South China
2024-2025

Changchun University of Science and Technology
2007-2025

Hohai University
2020-2025

Macao Polytechnic University
2025

Qufu Normal University
2025

Qilu University of Technology
2021-2024

Shandong Academy of Sciences
2021-2024

Xi'an Jiaotong University
2024

Western University
2021-2024

Abstract As emerging alternatives to natural enzymes, nanoscale materials featuring enzyme‐like catalytic behaviors (nanozymes) exhibit some attractive merits including robust activity, low cost, and easy‐to‐regulate performance. These have enabled them be intensively used in the biomedical field recent years. To remedy lack of selectivity most nanozymes, deoxyribonucleic acid (DNA) chains with specific recognition functions are utilized integrate nanozymes produce various nanozyme–DNA...

10.1002/inmd.20230057 article EN cc-by Deleted Journal 2024-03-04

Organophosphorus pesticides (OPs) are widely used in agricultural production, posing a great threat to human health and the environment. Given that different OPs present toxicology toxicities, identifying individual pesticide residues becomes important for assessing food safety environmental implications. In this work, kinetics difference-driven analyte hydrolysis strategy is proposed first time validated identify p-nitrophenyl by developing an organophosphorus hydrolase-like nanozyme-coded...

10.1021/acs.analchem.4c06411 article EN Analytical Chemistry 2025-01-21

In this study, we successfully synthesized Cs3MnBr5 films via vapor deposition for the first time using CsBr and MnBr2 raw materials. The optimal temperature is 900 °C, achieving a maximum PLQY of 63.5%, an emission peak at 520 nm FWHM 31.9 nm. Additionally, TG DSC measurements indicate that possess excellent thermal stability up to 600 °C.

10.1039/d5cc00135h article EN Chemical Communications 2025-01-01

In this paper, industrial solid waste coal fly ash and agricultural corn stalk were used as the research object. The aim is to realize comprehensive utilization of obtain high-quality bio-oil. Thus, effects pyrolysis conditions on process discussed, catalytic explored using TGA, SEM-EDS, XRD, FTIR, GC-MS. results TGA coupled with Coats-Redfern model indicate that total apparent activation energy varied from 408.40 kJ/mol 387.39 co-pyrolysis a endothermic while initial temperature(Ti)...

10.1016/j.csite.2022.102346 article EN cc-by-nc-nd Case Studies in Thermal Engineering 2022-08-08

Point-of-interest (POI) recommendation is highly sensitive to temporal factors, including fluctuations in user preferences, variation similarity, and decay the attraction of locations. However, current studies overlook dynamics similarity timeliness POIs, resulting a disconnect between recommendations users’ recent preferences. This paper proposes new framework for dynamic timely POI by integrating spatio-temporal influences social relationships. Dynamic prediction achieved through an...

10.3390/ijgi14020068 article EN cc-by ISPRS International Journal of Geo-Information 2025-02-08

The growth velocity of the crystal–melt interface during solidification is one important parameters that determine crystal morphology. However, both experimental investigations and theoretical calculations are time-consuming labor-intensive. Moreover, machine learning (ML)-based methods severely limited by amount available data. In this work, four alloy systems under different values undercooling was calculated molecular dynamics simulation. results showed a similar trend to A framework...

10.3390/cryst15050484 article EN cc-by Crystals 2025-05-21
Coming Soon ...