Area of research
Materials Chemistry · Mechanical Engineering
Research interest
Research interests include Titanium Alloys Microstructure and Properties, Microstructure and mechanical properties, Additive Manufacturing Materials and Processes, and Intermetallics and Advanced Alloy Properties.
Grain boundary character evolution in stainless steel 316L upon laser powder-bed fusion and post-process heat treatment
Experimental and molecular dynamics simulation of wetting and spreading of Al-Si brazing filler metal on Fe Substrate: Element diffusion and interfacial compounds
Wetting and spreading behavior of AgCuTi on Ti substrate: A molecular dynamics study
Dry mechanical-electrochemical polishing of selective laser melted 316L stainless steel
Removability of 316L stainless steel cone and block support structures fabricated by Selective Laser Melting (SLM)
Emergence and Phylogenetic Analysis of a Getah Virus Isolated in Southern China
Effect of heat treatment on the microstructure and mechanical properties of maraging steel by selective laser melting
Generation of kinetic Alfvén waves in dayside magnetopause reconnection: A 3-D global-scale hybrid simulation
AGUFM 2019cited by 0position: first
TiO2 nanoparticle decorated carbon nanofibers for removal of organic dyes
Ultrafine Ni2P nanoparticles embedded in one-dimensional carbon skeleton derived from metal-organic frameworks template as a high-performance anode for lithium ion battery
Dislocation dipole-induced strengthening in intermetallic TiAl
A three-dimensional surface modified carbon cloth designed as flexible current collector for high-performance lithium and sodium batteries
Evolution of the Thermal Conductivity of Sm2Zr2O7 Under CMAS Attack
Molecular dynamics simulation of fracture behaviors of 〈110〈 tilt grain boundaries in γ-TiAl
Transition Metal Doping of Manganese Cobalt Spinel Oxides for Coating SOFC Interconnects
Collaborative Research: CISE MSI: RDP: CNS: Towards the Resilient NextG Network Design for Federated Learning over Mobile Devices
Collaborative Research: CISE MSI: RDP: CNS: Towards the Resilient NextG Network Design for Federated Learning over Mobile Devices
Collaborative Research: CSR: Medium: Enhancing Energy Awareness for Efficient Federated Learning over Mobile AI Systems
Collaborative Research: OAC: Core: Harvesting Idle Resources Safely and Timely for Large-scale AI Applications in High-Performance Computing Systems
Collaborative Research: OAC: Core: Harvesting Idle Resources Safely and Timely for Large-scale AI Applications in High-Performance Computing Systems
CAREER: Robustify AI with Bayesian Deep Learning
RII Track-4:NSF: Federated Analytics Systems with Fine-grained Knowledge Comprehension: Achieving Accuracy with Privacy
Collaborative Research: CSR: Medium: Enhancing Energy Awareness for Efficient Federated Learning over Mobile AI Systems
CRII: OAC: High-Efficiency Serverless Computing Systems for Deep Learning: A Hybrid CPU/GPU Architecture
CRII: OAC: High-Efficiency Serverless Computing Systems for Deep Learning: A Hybrid CPU/GPU Architecture
RI: Small: Enabling Interpretable AI via Bayesian Deep Learning
US-China planning visit: Development of High Performance and Multifunctional Infrastructure Material
Material Measurement Symposium in the Materials Research Society Spring Meeting 2012; San Francisco, California; 9-13 April 2012
Collaborative Research: Large-Scale Fabrication of Thin Polymer Nanocomposite Films
Workshop on Multiphase Polymeric Materials in the American Chemical Society Spring National Meeting 2009; Salt Lake City, Utah; March 22-26, 2009
SBIR Phase II: SAFE: Behavior-based Malware Detection and Prevention
NUE: Nanotechnology for Manufacturing Flexible Electronics
SBIR Phase I: SpiderWeb - Self-Healing Networks for Spyware Detection
CAREER: Equilibrium Thermodynamics and Thermodynamic Metastability in Polymer Blends with Coexisting Liquid-Liquid Phase Separation and Crystallization
CAREER: Equilibrium Thermodynamics and Thermodynamic Metastability in Polymer Blends with Coexisting Liquid-Liquid Phase Separation and Crystallization
Constructibility and Large Cardinal Numbers