Yong Liu spends much of his time researching Metallurgy, Composite material, Shape-memory alloy, Nickel titanium and Martensite. His research is interdisciplinary, bridging the disciplines of Deformation and Composite material. Yong Liu has included themes like Annealing and Condensed matter physics in his Shape-memory alloy study.
His biological study spans a wide range of topics, including Titanium alloy, Differential scanning calorimetry, Structural engineering, Deformation and Damping capacity. His Martensite study combines topics in areas such as Crystal twinning, Crystallite and Austenite. His Diffusionless transformation research is multidisciplinary, relying on both Phase, Temperature cycling and Thermodynamics.
The scientist’s investigation covers issues in Optics, Composite material, Optoelectronics, Shape-memory alloy and Metallurgy. His work in Fiber laser, Wavelength, Mode-locking, Optical fiber and Dispersion-shifted fiber is related to Optics. His work deals with themes such as Thin film and Annealing, which intersect with Composite material.
His Shape-memory alloy research incorporates themes from Martensite, Pseudoelasticity, Diffusionless transformation and Stress. His studies deal with areas such as Austenite and Thermodynamics as well as Martensite. Alloy and Microstructure are subfields of Metallurgy in which his conducts study.
Yong Liu mainly investigates Optics, Optoelectronics, Artificial intelligence, Fiber laser and Composite material. His Modulation research extends to Optics, which is thematically connected. Yong Liu combines subjects such as Bandwidth and Microwave with his study of Optoelectronics.
His Artificial intelligence research incorporates elements of Machine learning, Computer vision and Pattern recognition. His study in Diffusionless transformation, Shape-memory alloy, Ultimate tensile strength, Deformation and Composite number is done as part of Composite material. His biological study focuses on Nickel titanium.
His primary scientific interests are in Optics, Fiber laser, Composite material, Optoelectronics and Artificial intelligence. His research investigates the connection between Fiber laser and topics such as Pulse-width modulation that intersect with problems in Dysprosium and Nanoparticle. Ultimate tensile strength, Composite number, Alloy, Compressive strength and Tensile testing are the subjects of his Composite material studies.
His research in Ultimate tensile strength intersects with topics in Flexural strength, Nickel titanium, Shape-memory alloy, Titanium alloy and Diffusionless transformation. His Shape-memory alloy study combines topics from a wide range of disciplines, such as Transformation, Microstructure and Pseudoelasticity. His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Computer vision.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
3D printing of smart materials: A review on recent progresses in 4D printing
Zhong Xun Khoo;Joanne Ee Mei Teoh;Yong Liu;Chee Kai Chua.
Virtual and Physical Prototyping (2015)
Core-shell palladium nanoparticle@metal-organic frameworks as multifunctional catalysts for cascade reactions.
Meiting Zhao;Ke Deng;Liangcan He;Yong Liu.
Journal of the American Chemical Society (2014)
Core–Shell Noble‐Metal@Metal‐Organic‐Framework Nanoparticles with Highly Selective Sensing Property
Liangcan He;Yong Liu;Jingzhu Liu;Yansong Xiong.
Angewandte Chemie (2013)
Asymmetry of stress–strain curves under tension and compression for NiTi shape memory alloys
Yong Liu;Z Xie;J Van Humbeeck;L Delaey.
Acta Materialia (1998)
Poly-ε-caprolactone/hydroxyapatite for tissue engineering scaffold fabrication via selective laser sintering
F.E. Wiria;K.F. Leong;C.K. Chua;Y. Liu.
Acta Biomaterialia (2007)
Learning Entity and Relation Embeddings for Knowledge Resolution
Hailun Lin;Yong Liu;Weiping Wang;Yinliang Yue.
international conference on conceptual structures (2017)
Electrochemical reduction of nano-SiO2 in hard carbon as anode material for lithium ion batteries
Bingkun Guo;Jie Shu;Zhaoxiang Wang;Hong Yang.
Electrochemistry Communications (2008)
Two-way shape memory effect developed by martensite deformation in NiTi
Yinong Liu;Yong Liu;J Van Humbeeck.
Acta Materialia (1998)
Exploiting Geographical Neighborhood Characteristics for Location Recommendation
Yong Liu;Wei Wei;Aixin Sun;Chunyan Miao.
conference on information and knowledge management (2014)
Large exchange bias after zero-field cooling from an unmagnetized state.
B. M. Wang;Y. Liu;P. Ren;B. Xia.
Physical Review Letters (2011)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: