Wu Di

ORCID: 0000-0003-0497-9343
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About
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Research Areas
  • Microstructure and Mechanical Properties of Steels
  • Metallurgy and Material Forming
  • Metal Alloys Wear and Properties
  • Magnetic Properties and Applications
  • Metal Forming Simulation Techniques
  • Microstructure and mechanical properties
  • Laser and Thermal Forming Techniques
  • Graphene research and applications
  • Quantum and electron transport phenomena
  • Mechanical stress and fatigue analysis
  • ZnO doping and properties
  • Transition Metal Oxide Nanomaterials
  • Gas Sensing Nanomaterials and Sensors
  • Computational Drug Discovery Methods
  • Advanced Surface Polishing Techniques
  • Machine Learning in Materials Science
  • Catalysis and Oxidation Reactions
  • Crystallography and molecular interactions
  • Vibration and Dynamic Analysis
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Solidification and crystal growth phenomena
  • Asymmetric Hydrogenation and Catalysis
  • Fatigue and fracture mechanics
  • Plant Pathogens and Fungal Diseases
  • Carbon dioxide utilization in catalysis

University of Science and Technology of China
2019-2025

National Synchrotron Radiation Laboratory
2019-2025

Physical Sciences (United States)
2025

National Taiwan Normal University
2024

Suzhou University of Science and Technology
2022-2023

Guilin University of Technology
2022

Collaborative Innovation Center of Chemistry for Energy Materials
2019

Hunan Normal University
2018

Yichun University
2018

Xinjiang University
2018

Molybdenum dioxides (MoO2) have potential applications in batteries owing to their good electrical conductivity. Here, we report the properties of high-quality MoO2 nanorods grown using chemical vapor deposition which are partially wrapped MoS2 on c-sapphire [α-Al2O3(0001)] substrates and subsequently transferred onto Si wafers for device fabrication. The as-fabricated devices with individual showed a high conductivity 6.04 × 103 S/cm low contact resistance 33 Ω, thus demonstrating superior...

10.1063/1.5001183 article EN Applied Physics Letters 2017-08-28

Defect-enriched NiV-LDH-NS with a bimetallic synergistic effect were prepared by one-step co-precipitation strategy and the electron-rich defects accelerated formation of hydroxyl radicals (˙OH) to participate in phenol hydroxylation.

10.1039/d1ta09412b article EN Journal of Materials Chemistry A 2022-01-01

Combining the density functional theory with non-equilibrium Green's function, we have investigated external transverse electric field effect of electronic structures and spin-polarization transport properties within zigzag α-2 graphyne nanoribbons (zα-2GYNRs). The can induce remarkable spin-polarized half-metallicity behaviors in our system when is lower than 0.4 V/Å anti-ferromagnetic state. Particularly, find that a nonmagnetic semiconductor feature be obtained larger 0.5 V/Å....

10.1063/1.5044241 article EN Journal of Applied Physics 2018-11-13

The microstructure of as-quenched martensite in four Fe–C–Cr alloys (0.15C-1Cr, 0.15C-4Cr, 1C-1Cr, 1C-4Cr, mass%) has been investigated. Moreover, the microstructures served as input for setting up modeling carbide precipitation during tempering martensite. modelling was conducted using Langer-Schwartz approach and software TC-PRISMA, which retrieves thermodynamic data from Thermo-Calc databank. It found that low carbon steels is predominantly lath with units arranged parallel to each other....

10.2355/isijinternational.54.2649 article EN cc-by-nc-nd ISIJ International 2014-01-01

Molecular property prediction is a crucial task in various fields and has recently garnered significant attention. To achieve accurate fast of molecular properties, machine learning (ML) models have been widely employed due to their superior performance compared traditional methods by trial error. However, most the existing ML that do not incorporate 3D information are still need improvement, as they mostly poor at differentiating stereoisomers certain types, particularly chiral ones....

10.3389/fmolb.2023.1216765 article EN cc-by Frontiers in Molecular Biosciences 2023-06-30

The rapid progress of machine learning (ML) in predicting molecular properties enables high-precision predictions being routinely achieved. However, many ML models, such as conventional graph, cannot differentiate stereoisomers certain types, particularly conformational and chiral ones that share the same bonding connectivity but differ spatial arrangement. Here, we designed a hybrid graph network, Chemical Feature Fusion Network (CFFN), to address issue by integrating planar stereo...

10.1093/bib/bbac560 article EN cc-by-nc Briefings in Bioinformatics 2022-11-19

10.1007/bf02840871 article EN Journal of Wuhan University of Technology-Mater Sci Ed 2006-09-01

10.1016/j.physe.2010.06.017 article EN Physica E Low-dimensional Systems and Nanostructures 2010-06-20

In plate rolling, the existence of some asymmetry rolling conditions, affects distribution transversal thickness pieces, leading to occurrence camber phenomenon, which in turn seriously affect product's material yield. this paper, based on images plates production line collected by camera, taking into account requirements for on-line measurement, filtering noise from image information, use edge detection operator, Hough transform methods and sub pixel location method identify steel plates,...

10.4028/www.scientific.net/amr.139-141.2082 article EN Advanced materials research 2010-10-01

This study explores the enhancement in magnetic and photoluminescence properties of Mn2+‐doped (CdSe)13 nanoclusters, significantly influenced by introduction paramagnetic centers through doping, facilitated optimized precursor chemistry precisely controlled surface ligand interactions. Using a cost‐effective scalable synthesis approach with elemental Se NaBH4 (Se‐NaBH4) n‐octylamine, we tailored bonding configurations (Cd‐O, Cd‐N, Cd‐Se) on as confirmed EXAFS analysis. These allowed for...

10.1002/ange.202420257 article EN Angewandte Chemie 2024-12-06

A viscoplastic self consistent model was developed using a rate sensitive constitutive relation, isotropic hardening law, and considering the interaction between grains their surroundings. The applied to simulate mesoscopic responses of fcc polycrystalline aggregate during tensile deformation. macro textures, grain rotation behaviors, plastic strain stress heterogeneities, slip system activities were investigated. successfully predicts typical rotations toward (111) (100) directions...

10.4028/www.scientific.net/amm.87.71 article EN Applied Mechanics and Materials 2011-08-01

Temperature of the head, waist, bottom and angle same heavy rail lying on cooling bed is tested continuously, time interval 5min, which can provide basis for prebending process. Additionally, U75V 60Kg/m straightening processes using horizontal edge roll compound machine discussed in this paper, contrasts cross-section dimension straightness before after being straightened, important to make certain optimum parameters.

10.4028/www.scientific.net/amm.127.105 article EN Applied Mechanics and Materials 2011-10-01
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