Biography
Dr Cui Yue graduated from the National University of Singapore (NUS) with a BEng (First Class Honours) in Civil Engineering in 2014. He obtained his M.S. in Civil Engineering and PhD in Aerospace Engineering at the University of Illinois at Urbana-Champaign (UIUC) in 2015 and 2022, respectively. He joined the Institute of High-Performance Computing in the Agency for Science Technology and Research as a scientist in 2022.
Cui Yue’s primary research interests have been in computational mechanics where he uses multiscale modelling tools, supercomputers, and machine-learning methods to study the mechanical behaviours of structural materials. He developed computational models to understand structural materials at quantum-mechanical scale, atomic scale, and traditional continuum scale. He has also worked on research projects in collaboration with industry partners such as Rolls-Royce, Boeing and Honeywell.
Cui Yue has been a passionate educator with teaching experience in both undergraduate and graduate-level engineering classes. He promotes critical thinking, independent learning, and life-long learning for the students through his lectures, office hours and mentoring. He guides students both inside and outside the classroom.
Qualifications
- PhD (Aerospace Engineering), University of Illinois at Urbana-Champaign, 2022
- M.S. (Civil Engineering), University of Illinois at Urbana-Champaign, 2015
- BEng (Civil Engineering), National University of Singapore, 2014
Honours & Awards
- Aerospace Engineering Alumni Advisory Board Fellowship, 2021
- Aerospace Engineering Outstanding Graduate Student Fellowship, 2020
- MSc Class of 1977 Silver Medal, 2014
Research Interests
- Machine learning and data-driven approach in structural engineering
- Multi-scale modelling of structural material and mechanics (finite element method, molecular dynamics, density functional theory) with high-performance parallel super-computer
- Finite element modelling of additively manufactured and 3D printed structural material
- Fracture mechanics and plasticity
- Computational mechanics
- Nanostructured materials, mechanics and behaviour of grain boundary and dislocations
Selected Publications
- Cui, Y., & Chew, H.B. (2022). Machine-Learning Prediction of Atomistic Stress along Grain Boundaries. Acta Materialia 222, 117387
- Muro-Barrios, R., Cui, Y., Lambros, J. & Chew, H.B. (2022). Dual-Scale Porosity Effects on Crack Growth in Additively Manufactured Metals: 3D Ductile Fracture Models. Journal of Mechanics and Physics of Solids, 159, 104727
- Cui, Y., Gao, Y. F., & Chew, H. B. (2020). Two-scale Porosity Effects on Cohesive Crack Growth in a Ductile Media. International Journal of Solids and Structures, 200, 188-197
- Cui, Y., & Chew, H. B. (2019). A Simple Numerical Approach for Reconstructing the Atomic Stresses at Grain Boundaries from Quantum-mechanical Calculations. The Journal of Chemical Physics, 150(14), 144702
- Akono, A. T., Cui, Y., Kataruka, A., Anderson, K., & Kabir, P. (2018). Intrinsic Mechanical Properties of Calcium Aluminate Crystals via the Linear Comparison Composite Method Coupled with Nano-indentation. Mechanics of Materials, 118, 74-84