Computational Engineering   

Along with theory and experimentation, computer simulation has become the third mode of scientific discovery.  Tools like finite element analysis and uncertainty propagation allow our researchers to explore new frontiers in fluid dynamics, heat transfer, bioengineering, combustion, nanotechnology, materials modeling, design, and so much more.  Using the data from thousands of simulations, they can construct models that will ultimately benefit people in real-world situations.

And there's no better place to explore that science than Purdue.  We hosted the first computer science department in the country in 1962, and today, one of the top research supercomputer clusters in the country allows Purdue researchers to explore any possibility they can imagine.

Faculty in Computational Engineering

  • Adaptive structures
  • Mechanical metamaterials
  • Robotic materials
  • Programmable structures
  • Multistable structures
  • Structural nonlinearity
  • Elastic instabilities
  • Structural dynamics
  • Nonlinear vibrations
  • Uncertainty propagation
  • Inverse problems
  • Propagation of information across scales
  • Optimal learning
  • Materials by design
  • Predictive computational tools for biological adaptation processes
  • Tissue expansion
  • Wound healing
  • Reconstructive surgery optimization
  • Numerical methods for biological membranes
  • Indoor and outdoor airflow modeling by computational fluid dynamics (CFD) and measurements
  • Building ventilation systems
  • Indoor air quality (IAQ)
  • Energy analysis
  • Biomolecular nanomanufacturing
  • DNA origami and self-assembly
  • Optical nanoscopy and nanosensors
  • Bioinspired nanomechanical systems
  • Nanoscale energy conversion
  • Fluid mechanics
  • Nonlinear dynamics and chaos
  • Granular flow
  • Complex fluids, including particulate and multiphase flows
  • Microfluidics, including fluid--structure interactions
  • Wave phenomena in continuum mechanics
  • Applied mathematics and scientific computing
  • CFD of multiphase flows
  • Turbulent gas-liquid flows
  • Cavitation
  • Heat transfer
  • Structural Dynamics and Control
  • Cyber-physical Systems
  • Machine Vision
  • Real-time Hybrid Simulation
  • Damage Detection and Structural Condition Monitoring
  • Cyberinfrastructure Development
  • Laser-absorption spectroscopy, laser-induced fluorescence, & IR imaging sensors for gas temperature, pressure, velocity, and chemical species
  • Molecular spectroscopy, photophysics, & energy transfer in gases
  • Energetic materials (e.g., explosives & propellants) detection & combustion
  • Combustion and propulsion systems (small and large scale)
  • Biomedical sensing
  • Modeling and simulation techniques for multiphase and multiphysics problems using the phase-field method.
  • Isogeometric methods with applications in fluid and solid mechanics.
  • Modeling and simulation tools for several biomechanics problems, including tumor growth, cellular migration and blood flow at small scales.
  • Computational methods for fluid-structure interaction, especially when the problem involves complex fluids.
  • Dynamic modeling and optimal control; model predictive control; decentralized control
  • Thermodynamics-based optimization; entropy generation minimization; exergy analysis
  • Integrated energy management and storage in distributed energy systems, building systems
  • Computational solid mechanics
  • Multiscale modeling of materials
  • Finite Elements
  • Dislocation dynamics
  • Computational modeling of micromechanical systems
  • Reliability of electronic interconnects
  • Nano structured materials
  • Effects of length scales on deformation process
  • Big data analysis and statistical machine learning
  • Predictive modeling and uncertainty quantification
  • Scientific computing and computational fluid dynamics
  • Stochastic multiscale modeling
  • Fluid dynamics
  • Multiphase flows
  • Monte Carlo methods
  • Kinetic theory of granular flows
  • Heat transfer in granular media
  • Rarefied gas dynamics
  • Energy storage and conversion (batteries, fuel cells)
  • Mesoscale physics and stochastics
  • Reactive transport, materials, processing, and microstructure interactions
  • Scalable nanomanufacturing: lithography and imaging
  • Optical and magnetic data storage
  • Nanoscale energy conversion, transfer and storage for alternative energy
  • Nanoscale heat transfer and energy conversion
  • Multiscale multiphysics simulations of nanomaterials for energy applications
  • Photovoltaic nanomaterials: simulation, synthesis, and devices
  • Thermoelectric nanomaterials: simulation, synthesis and devices
  • Nanoscale thermal radiation and nano-photonics
  • Contact mechanics
  • Stresses, fatigue and friction of rolling/sliding
  • Micro-mechanics of boundary and mixed lubrication regimes
  • Spall initiation and propagation
  • Surface science and damage
  • Dynamics of ball and rolling element bearings and rotating systems
  • Friction induced vibration and squeal in dry contacts
  • Friction and wear of dry and lubricated contacts
  • Virtual tribology
  • Dry and lubricated fretting wear
  • MEMS for in-situ monitoring of tribological contacts
  • Discrete element modeling
  • Design
  • Large eddy and direct simulations
  • Turbulent Combustion
  • Thermoacoustics
  • Non-linear acoustics
  • Heat-and-mass transfer
  • Physical oceanography and limnology
  • Numerical methods for complex geometries
  • Structural Health Monitoring
  • Wave propagation
  • Structural dynamics and vibration control
  • Adaptive structures
  • Periodic structures and acoustic metamaterials
  • Energy harvesting
  • Thermoacoustics
  • Computational solid mechanics
  • Computational geometry
  • Microelectronics reliability
  • Measurement science and instrumentation
  • Particle image velocimetry
  • Quantification of uncertainty
  • Multi-phase flows
  • Flow induced vibrations and hydro-kinetic energy
  • Biological flows
  • Biofluid mechanics
  • Biomedical cardiovascular devices
  • Heart failure and diastolic dysfunction
  • Discrete element method (DEM) modeling for particulate systems
  • -- model development, e.g., fibrous particles, particle breakage, particle shapes
  • -- application to manufacturing, e.g., storage and flow, blending, segregation, drying, coating, wet granulation
  • Finite element method (FEM) modeling of powder compaction
  • -- e.g., roll compaction, tableting, picking and sticking
  • Multi-scale modeling (FEM combined with DEM) of powder dynamics
  • -- model development and application to hopper flow, blending, and segregation
  • Electronics cooling and packaging
  • Phase-change transport phenomena
  • Microscale and nanoscale surface engineering for enhanced thermal transport
  • Energy efficiency in thermal systems
  • Transport in porous materials
  • Microscale diagnostics and sensing
  • Microfluidic MEMS devices
  • Development of new microfluidic diagnostic techniques
  • Biological flows at the cellular level
  • Micro-scale laminar mixing
  • Flow transitions and instabilities
  • Deformation, stress, plasticity, fracture
  • Multiscale modeling, first-principles, molecular dynamics simulations, and finite element modeling
  • In-situ experiments
  • Mechanics of redox active materials - Li-ion batteries, Na-ion batteries, all-solid-state batteries
  • Mechanics of polymeric materials - organic electrochromics, superelastic organic semiconductors