User profiles for Qian Ma

Ma Qian

- Verified email at rmit.edu.au - Cited by 26590

qian ma

- Verified email at seu.edu.cn - Cited by 4053

Topological design and additive manufacturing of porous metals for bone scaffolds and orthopaedic implants: A review

…, S Xu, S Zhou, W Xu, M Leary, P Choong, M Qian… - Biomaterials, 2016 - Elsevier
One of the critical issues in orthopaedic regenerative medicine is the design of bone scaffolds
and implants that replicate the biomechanical properties of the host bones. Porous metals …

[BOOK][B] Light alloys: metallurgy of the light metals

I Polmear, D StJohn, JF Nie, M Qian - 2017 - books.google.com
Light Alloys: From Traditional Alloys to Nanocrystals, Fifth Edition, covers the materials
science, properties, manufacturing processes, and applications of key engineering metals in a …

Grain refinement of magnesium alloys

DH StJohn, MA Qian, MA Easton, P Cao… - … Materials Transactions A, 2005 - Springer
The literature on grain refinement of magnesium alloys is reviewed with regard to two broad
groups of alloys: alloys that contain aluminum and alloys that do not contain aluminum. The …

Transmission‐reflection‐integrated multifunctional coding metasurface for full‐space controls of electromagnetic waves

L Zhang, RY Wu, GD Bai, HT Wu, Q Ma… - Advanced Functional …, 2018 - Wiley Online Library
Digital coding metasurfaces are aimed at simplifying the design and optimization procedures,
and manipulating electromagnetic waves in digital manner. In this paper, a multilayered …

[HTML][HTML] SLM lattice structures: Properties, performance, applications and challenges

…, M Leary, B Lozanovski, X Zhang, M Qian… - Materials & Design, 2019 - Elsevier
Additive manufacturing (AM), particularly Selective Laser Melting (SLM) has enabled
development of lattice structures with unique properties. Through control of various parameters …

A programmable diffractive deep neural network based on a digital-coding metasurface array

C Liu, Q Ma, ZJ Luo, QR Hong, Q Xiao, HC Zhang… - Nature …, 2022 - nature.com
The development of artificial intelligence is typically focused on computer algorithms and
integrated circuits. Recently, all-optical diffractive deep neural networks have been created that …

The Interdependence Theory: The relationship between grain formation and nucleant selection

DH StJohn, M Qian, MA Easton, P Cao - Acta Materialia, 2011 - Elsevier
The Interdependence Theory links grain formation and nucleant selection to improve the
ability to reveal the mechanisms of grain refinement, predict as-cast grain size and account for …

Heat treatment for metal additive manufacturing

…, AE Hughes, W Xu, I De Graeve, M Qian… - Progress in Materials …, 2023 - Elsevier
Metal additive manufacturing (AM) refers to any process of making 3D metal parts layer-upon-layer
via the interaction between a heating source and feeding material from a digital …

[HTML][HTML] Grain structure control during metal 3D printing by high-intensity ultrasound

…, EW Lui, M Brandt, DH StJohn, M Qian - Nature …, 2020 - nature.com
Additive manufacturing (AM) of metals, also known as metal 3D printing, typically leads to the
formation of columnar grain structures along the build direction in most as-built metals and …

Effect of powder reuse times on additive manufacturing of Ti-6Al-4V by selective electron beam melting

HP Tang, M Qian, N Liu, XZ Zhang, GY Yang, J Wang - Jom, 2015 - Springer
An advantage of the powder-bed-based metal additive manufacturing (AM) processes is
that the powder can be reused. The powder reuse or recycling times directly affect the …