K.M. Wu

ORCID: 0009-0004-4314-0684
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Research Areas
  • Microstructure and Mechanical Properties of Steels
  • Metal Alloys Wear and Properties
  • Functional Brain Connectivity Studies
  • Nanoporous metals and alloys
  • Magnetic Properties and Applications
  • High Temperature Alloys and Creep
  • Anodic Oxide Films and Nanostructures
  • Electrodeposition and Electroless Coatings
  • Advanced Graph Neural Networks
  • Material Properties and Failure Mechanisms
  • Tensor decomposition and applications
  • Electrocatalysts for Energy Conversion
  • High-Velocity Impact and Material Behavior
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Advanced Neuroimaging Techniques and Applications
  • Supercapacitor Materials and Fabrication
  • Molten salt chemistry and electrochemical processes
  • Bioinformatics and Genomic Networks
  • Thermal and Kinetic Analysis

Wuhan University of Science and Technology
2013-2023

The tempering resistance and stability of retained austenite in superbainitic quenching–partitioning martensitic steels were investigated over the temperature range 400 to 700°C. X-ray diffraction analysis hardness tests showed that steel contained a considerable amount (26·6 vol.-) had relatively high up 556 HV1 after at ∼600°C. In contrast, fraction considerably lower (24·5 vol.- 385 HV1) same cycle. present work also higher stability, probably due carbon rich austenite.

10.1179/1743284713y.0000000227 article EN Materials Science and Technology 2013-04-04

Since high-order relationships among multiple brain regions-of-interests (ROIs) are helpful to explore the pathogenesis of neurological diseases more deeply, hypergraph-based networks suitable for science research. Unlike existing hypergraph based network (brain hypernetwork), where hyperedges containing same number ROIs assumed have equal weights (to some extent, is unweighted), and underlying structure described only by an incidence/adjacency matrix, in this paper, we propose a framework...

10.1109/tip.2023.3307975 article EN IEEE Transactions on Image Processing 2023-01-01

Among various ferromagnetic materials, Cobalt Nickel (CoNi) is considered as an important alloy because of its enhanced magnetic and catalytic properties well better mechanical compared to single Co nanowires. Fabrication binary nanowires using electrochemical deposition cheap challenging due the different synthesis conditions materials being used. In this study phase transformation CoNi are observed Direct current (DC) technique with in Anodic Aluminium Oxide (AAO) template. The average...

10.1088/1757-899x/239/1/012017 article EN IOP Conference Series Materials Science and Engineering 2017-09-01

The effect of austempering process at Mf (martensite transformation finishing temperature) on the microstructure and impact toughness bainitic steel with ultrahigh was studied compared tempered martensitic steel. results show that lamellar composed ferrite laths retained austenite films is obtained by Mf. It shows up to 131.5±6.5 J Charpy V-notch energy combined a tensile strength as high 1436±6 MPa, which 2.7 times higher than (49.0±0.8 J). ultra-high attributed deflection crack propagation...

10.2139/ssrn.4357920 article EN 2023-01-01

It is still a major challenge to develop the non-precious metal catalysts with high electro-catalytic activity and long-term stability for application in direct methanol fuel cells (DMFCs) . Herein, micro-nano hierarchical porous Ni-Cu catalyst was synthesized by electrochemical dealloying of Zr 70 Ni 15 Cu (at%) metallic glassy precursor 0.05 M hydrofluoric acid (HF) solution at 0.3 V 1500s (NPNC-1500). This structure constructed unordered microcracks nanoporous structure, which consists...

10.2139/ssrn.4184185 article EN SSRN Electronic Journal 2022-01-01

Hypergraphs have been widely used in the analysis of brain network because its ability to capture high order interaction among multiple regions. Most recent work is based on sparse representation construct hypergraph, which vertices represent This kind approaches at subject-level and does not take account topological properties. To overcome this limitation, we propose a new method identify biomarkers helpful diagnosis disease. Firstly, graph-based for each subject derive graph metrics. Then...

10.1109/cac57257.2022.10055125 article EN 2021 China Automation Congress (CAC) 2022-11-25
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