I want to research in
these fundamental areas...
I want to have an impact in...
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. Our Computational Interdisciplinary Graduate Programs rank among the premier programs of their kind, worldwide. Computational Engineering at Purdue allows researchers to explore any possibility they can imagine.
What courses should I take that focus on Computational Engineering research?
- Core ME Courses:
- ME 58100 Numerical Methods In Mechanical Engineering
- ME 60800 Numerical Methods In Heat, Mass, And Momentum Transfer
- ME 61400 Computational Fluid Dynamics
- ME 65000 Computational Fracture Mechanics
- ME 68100 Finite and Boundary Element Methods
- Core CS Courses:
- CS 501 Computing for Science and Engineering
- CS 514 Numerical Analysis
- CS 515 Numerical Linear Algebra
- CS 520 Computational Methods in Analysis
- Related Courses
- AAE 51200 Computational Aerodynamics
- AAE 55800 Finite Element Methods in Aerospace Structures
- MA 69200 Spectral Methods In Computational Fluid Dynamics
- ME 597 AI with Engineering Applications
- ME 597 Nonlinear Finite Element Methods
- ME 697 Computational Methods for Nanoscale Energy Transport
- ME 697 Computational Methods For Interface Dynamics
- ME 697 Intelligent Systems: Modeling, Optimization and Control
- ME 697 Nonlinear Wave Mechanics
- CHE 697 Finite Element Analysis In Chemical Engineering
What sub groups are there in Computational Engineering?
- Computational Solid Mechanics - simulating the motion, deformation, or fracture of elastic, plastic, and complex materials
Andres Arrieta, Adrian Buganza, Ivan Christov, Hector Gomez, Marcial Gonzalez, Marisol Koslowski, Farshid Sadeghi, Yung Shin, Fabio Semperlotti, Thomas Siegmund, Ganesh Subbarayan, Carl Wassgren, Kejie Zhao - Computational Fluid Mechanics - simulating the flow of liquids, gases, microorganisms, or complex fluids, towards understanding hydraulics, aerodynamics, and hemodynamics
Arezoo Ardekani, James Braun, Ivan Christov, Sadegh Dabiri, Christopher Goldenstein, Hector Gomez, Marcial Gonzalez, Jay Gore, Veeraraghava Raju Hasti, Guang Lin, Aaron Morris, Issam Mudawar, Guillermo Paniagua, Carlo Scalo, Yung Shin, Pavlos Vlachos, Justin Weibel, Steven Wereley - Computational Biomechanics - simulating biomechanical processes, from the motion and deformation of body appendages to the minute aspects of cell mechanics
Arezoo Ardekani, Adrian Buganza, Ivan Christov, Jong Hyun Choi, Hector Gomez, Eric Nauman, Pavlos Vlachos - Computational Acoustics - predicting the propagation and intensity of sound waves, including noise generation, through natural and built environments
Patricia Davies, Kai Ming Li, Yangfan Liu, Fabio Semperlotti - Computational Geometry - simulating systems and machines requiring the spatial modeling of parts with complex geometries
Anil Bajaj, Shirley Dyke, James Gibert, Ajay Malshe, Karthik Ramani, Farshid Sadeghi, Liang Pan, Ganesh Subbarayan - Scientific Machine Learning - harnessing advances in neural networks to solve problem beyond the abilities of grid-based simulation methods
Ilias Bilionis, Ivan Christov, Shirley Dyke, Hector Gomez, Guang Lin, Min Liu, Jitesh Panchal, Karthik Ramani, Xiulin Ruan, Yung Shin, Ganesh Subbarayan - Multiphysics Modeling - simulation of natural or human-made systems that involve the coupling of any of the above phenomena, and beyond
Arezoo Ardekani, Andres Arrieta, Adrian Buganza, Ivan Christov, James Gibert, Hector Gomez, Marcial Gonzalez, Jay Gore, Veeraraghava Raju Hasti, Marisol Koslowski, Guang Lin, Ajay Malshe, Partha Mukherjee, Xiulin Ruan, Yung Shin, Justin Weibel, Benxin Wu, Kejie Zhao
Faculty in Computational Engineering
- Fluid dynamics
- Biomaterial
- Multiphase flows
- Non-Newtonian fluid dynamics
- Microfluidics
- Complex fluids
- Soft matter
- Adaptive structures
- Mechanical metamaterials
- Robotic materials
- Programmable structures
- Multistable structures
- Structural nonlinearity
- Elastic instabilities
- Structural dynamics
- Nonlinear vibrations
- Modeling of nonlinear systems
- Structural dynamics and localization
- Flow-induced vibrations
- Impacting systems
- Bifurcations and chaos
- Uncertainty propagation
- Inverse problems
- Propagation of information across scales
- Optimal learning
- Materials by design
- Pressure gain combustion
- Turbomachinery
- High-speed internal flows
- Aero-thermal focus on the integration of experiments with computational fluid dynamics
- Predictive computational tools for biological adaptation processes
- Tissue expansion
- Wound healing
- Reconstructive surgery optimization
- Numerical methods for biological membranes
- Fluid Mechanics
- Soft Matter
- Granular Flow
- Microfluidics
- Nonlinear Waves
- Computational Science
- CFD of multiphase flows
- Turbulent gas-liquid flows
- Cavitation
- Heat transfer
- Sound quality
- Signal Processing
- Data analysis
- System modeling and identification
- Condition monitoring of machinery
- Perception-based engineering
- Seat-occupant modeling
- Structural Dynamics and Control
- Cyber-physical Systems
- Machine Vision
- Real-time Hybrid Simulation
- Damage Detection and Structural Condition Monitoring
- Cyberinfrastructure Development
- Vibrations and nonlinear dynamics
- Smart material systems
- Non-pneumatic tires
- Optimization of mechanical systems
- Additive manufacturing
- 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.
- Predictive, multi-scale modeling and simulation of microstructure evolution in confined granular systems, with an emphasis in manufacturing processes and the relationship between product fabrication and performance.
- Application areas of interest include:
- (i) particulate products and processes (e.g., flow, mixing, segregation, consolidation, and compaction of powders),
- (ii) continuous manufacturing (e.g., Quality by Design, model predictive control, and reduced order models), and
- (iii) performance of pharmaceutical solid products (e.g., tensile strength, stiffness, swelling and disintegration), biomaterials (e.g., transport and feeding of corn stover) and energetic materials (e.g., deformation and heat generation under quasi-static, near-resonant and impact conditions, and formation and growth of hot spots) materials.
- Sustainable energy and environment
- Combustion and turbulent reacting flows
- Combustion and heat transfer in materials
- Biomedical flows and heat transfer
- Global policy research
- Application of Artificial Intelligence for Data-Driven Modeling, Analysis, Optimization, and Control
- Physics Informed Machine Learning and Reduced-Order Modeling
- Turbulence, Combustion, Sprays, and Particle Laden Flows
- Multiscale and Multiphysics Modeling and Simulation
- Computational Fluid Dynamics and High-Performance Computing
- Energy Systems Modeling, Multi-Criteria Analysis and Decision Making
- Renewable Energy and Smart Energy Systems
- Computational solid mechanics
- Multiscale modeling of materials
- Finite Elements
- Dislocation dynamics
- Reliability of electronic interconnects
- Shock compression in solids
- Phase transformations
- Energetic materials
- Computational acoustics
- Physical acoustics
- Control of environmental noise
- Outdoor sound propagation
- Prediction and abatement of transportation noise
- Speech intelligibility in built environments
- Big data analysis and statistical machine learning
- Predictive modeling and uncertainty quantification
- Scientific computing and computational fluid dynamics
- Stochastic multiscale modeling
- Computational Geometries for Design and Manufacturing
- Image/geometric processing and analysis
- Computational Solid Mechanics, Fluid Dynamics
- Human computer interaction in smart design/manufacturing
- Machine learning
- Acoustic Source Modeling and sound field reconstruction
- Active noise control
- Room acoustics simulation and auralization
- Noise control treatments
- Human perception of noise
- Bio-inspired designs
- Surface engineering and multifunctional materials
- Convergent Manufacturing for Industry 5.0: hybrid manufacturing processes, heterogeneous materials, and bio-inspired designs
- Systems integration, productization, and production
- Heavy-duty machines: machining, lubrication, and corrosion
- Heterogeneous and hierarchical integration (mechanical-electrical-optical and nano-micro-meso-macro)
- Precision agricultural and food: cellular agriculture, vertical farming, micro-production, and resilience
- Frugal engineering, social innovations, and social equity
- Manufacturing in space
- Fluid dynamics
- Multiphase flows
- Monte Carlo methods
- Kinetic theory of granular flows
- Heat transfer in granular media
- Rarefied gas dynamics
- Boiling
- Condensation
- Two-phase Flow
- High heat flux
- Thermal management systems
- Cryogenic systems
- Space vehicles
- Lunar and Martian environments
- Microgravity
- Experiments on International Space Station
- Electronic cooling
- 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
- Computational Design of Socio-Technical Systems
- Secure Design and Manufacturing
- Engineering Design by Self-Organized Virtual Communities
- Integrated Products and Materials Design
- Compact high speed turbomachinery: Design, analysis (experimental-numerical), cavity and tip flows, flow control
- High speed propulsion: Novel cycle development, intakes, boundary layer transition, combustion
- Development of measurement techniques and data processing
- Human Skill and Augmentation
- Collaborative and Hybridized Intelligence
- Deep Learning of Shapes and Computer Vision
- Human-Robot-Machine Interactions
- Making to Manufacturing (M2M)
- Factory of the Future and Robotics
- Manufacturing Productivity
- Simulations of nanoscale thermal transport
- Machine learning, optimization, and high throughput design
- Thermal management in electronics, space, and battery applications
- Transport phenomena in additive manufacturing
- Nanomaterials and devices for sustainable energy
- 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
- Laser additive manufacturing
- Ultrafast laser matter interaction
- Laser welding
- Laser assisted machining
- Laser shock peening
- Multi-physics, multi-scale modeling
- Micro-nano manufacturing
- Solid mechanics, multiscale and multiphysics modeling.
- Design of engineering material systems.
- Fracture and fatigue.
- Microarchitectured materials.
- Biomechanics of soft and hard tissues.
- Computational and experimental solid mechanics focused on fatigue, fracture, and multi-physics phase evolution problems
- Computational techniques including Finite Element Analysis (FEA), Isogeometric Analysis (IGA), geometric modeling, CAD and optimal design
- Heterogeneous Integration and Advanced Electronics Packaging with a focus on thermomechanical behavior, reliability, and electrical-thermal-mechanical co-design
- 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
- Addressing the process integration and reliability challenges for fine-pitch, high-density advanced semiconductor packaging techniques: Monolithic 3D Integration, Heterogeneous 2.5D interposer and 3D Integration, Microsystem integration, Fan-out packaging and Embedded packaging
- Thermomechanical modeling and characterization of advanced devices and packages: chip package interactions, FEM modeling, and thermal stress metrology
- "Smart-controlled cooling” with advanced manufacturing technologies using MEMS and 3D packaging: Active flow control for dynamic power profiles
- Advanced heat sink design optimization and fabrication: Topology optimization and Additive manufacturing of the package level cooling system
- Efficient thermal packaging materials: high thermal conductivity TIM (thermal interface materials), and underfill, efficient 3D bonding interface thermal materials
- 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
- Laser-matter interactions
- Laser-induced plasma and laser-plasma interaction
- Laser applications in manufacturing, materials processing, and other areas
- 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