What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Mechanical engineering
- Composite material
His primary scientific interests are in Machining, Machine tool, Error detection and correction, Control theory and Composite material.
His Machining study deals with the bigger picture of Mechanical engineering.
His work deals with themes such as Chip and Edge, which intersect with Mechanical engineering.
Jun Ni has researched Machine tool in several fields, including Thermal, Control engineering, Machine control, Simulation and Robustness.
His Error detection and correction research is multidisciplinary, incorporating elements of Compensation and Coordinate-measuring machine.
His Composite material study combines topics in areas such as Metallurgy, Proton exchange membrane fuel cell, Flow and Forensic engineering.
His most cited work include:
- Intelligent prognostics tools and e-maintenance (449 citations)
- First principles study of structural, vibrational and electronic properties of graphene-like MX2 (M=Mo, Nb, W, Ta; X=S, Se, Te) monolayers (431 citations)
- A review of 4D printing (296 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Condensed matter physics, Machining, Mechanical engineering, Composite material and Reliability engineering.
The Condensed matter physics study combines topics in areas such as Zigzag and Fermi level.
His study looks at the relationship between Machining and topics such as Machine tool, which overlap with Control theory.
Mechanical engineering and Finite element method are frequently intertwined in his study.
His research links Metallurgy with Composite material.
His study in Predictive maintenance and Preventive maintenance falls within the category of Reliability engineering.
He most often published in these fields:
- Condensed matter physics (17.45%)
- Machining (10.53%)
- Mechanical engineering (9.43%)
What were the highlights of his more recent work (between 2016-2021)?
- Condensed matter physics (17.45%)
- Composite material (9.12%)
- Welding (4.40%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Condensed matter physics, Composite material, Welding, Catalysis and Graphene.
His Condensed matter physics study incorporates themes from Monolayer and Ab initio.
His work in Composite material is not limited to one particular discipline; it also encompasses Proton exchange membrane fuel cell.
His Welding study necessitates a more in-depth grasp of Metallurgy.
His study explores the link between Catalysis and topics such as Acetylene that cross with problems in Porosity and Chemical engineering.
Jun Ni combines subjects such as Electronic structure and Superlattice with his study of Graphene.
Between 2016 and 2021, his most popular works were:
- A review of 4D printing (296 citations)
- Spatter formation in selective laser melting process using multi-laser technology (60 citations)
- A study on the effect of energy input on spatter particles creation during selective laser melting process (48 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Mechanical engineering
- Composite material
Jun Ni focuses on Welding, Composite material, Condensed matter physics, Mechanical engineering and Nanotechnology.
His Welding research includes elements of Alloy, Intermetallic, TRIP steel and Aluminium.
His studies in Composite material integrate themes in fields like Laser technology and Proton exchange membrane fuel cell.
Phonon and Superconductivity are the subjects of his Condensed matter physics studies.
In general Mechanical engineering study, his work on Machining process, Machining, Micro drilling and Drilling often relates to the realm of Key factors, thereby connecting several areas of interest.
His work on Nanostructure, Substrate, Layer and Flexible electronics as part of general Nanotechnology study is frequently linked to Nanoimprint lithography, bridging the gap between disciplines.
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