Cornell Faculty, Staff, and Students
Faculty and graduate student researchers at leading universities expect high-performance computing services to be readily available as a research tool, just as they expect the library and data networks to be available.
CAC enables the success of Cornell researchers whose research requires
high-performance computing or data management
services.
Sample Researchers Enabled by CAC
- Abowd,
John – mining
U.S. Census data
- Aquino,
Wilkins –
identifying aircraft damage
- Arias,
Tomas – ab initio
theory of corrosion initiation
- Arms,
William – developing
the Cornell/Internet Archive Web Lab
- Baker, Shefford – simulating deformations in thin
metal films
- Bazarov,
Ivan– ultra high brightness injector
optimizations
- Bean,
Rachael – testing
theories of dark energy and dark matter
- Bojanczk, Adam–
developing an algorithm library
- Bunge, John – estimating
ocean species
- Burtscher, Martin – cMPI
- Clancy, Paulette – simulating laser thermal processing
- Clark, Andy – analysis of genome-wide human
polymorphism
- Conrad, Jon – modeling environmental economics
- Cordes, James – searching for fast and exotic
pulsars
- Datta,
Ashim – modeling
bacteria destruction parameters
- Davis,
J.C. – spectroscopic
STM imaging
- Dawson, Paul
– modeling material mechanical properties/failure
- DeGaetano,
Arthur – high-resolution climate databases
- Durrett,
Richard – probability in ecology and genetics
- Gehrke,
Johannes – high-performance
sorting
- Grigoriu,
Mircea – modeling
corrosion in concrete bridges
- Hammer,
David– simulating wire array z-pinch plasmas
- Ingraffea,
Anthony – multiscale
modeling of materials
- Joo, Yong – simulating branched polymers in
solutions
- Kinoshita, Toichiro – lepton anomalous magnetic
moments
- Levin,
Simon – global evolutionary stoichiometry in ecosystems
- Liu,
Philip – modeling
breaking waves
- Loring, Roger – spectroscopy
in biomolecules
- Lovelace, Richard – 3D MHD simulations of disk accretion
- Melkonian,
Jeffrey– real-time N management
- Nielsen, Rasmus – detecting positive selection
- Nozick,
Linda – logistics
and supply chain dynamics
- Phoenix. Leigh – modeling for the optimization
of body armor
- Pope,
Stephen – modeling
turbulent combustion
- Robinson, Lawrence – appointments with unpunctual
arrivals
- Rooth,
Mats – natural
language statistical parsing
- Scheraga,
Harold – protein
folding
- Sethna,
James – simulating
the physics of materials
- Seyler,
Charles – cell
simulations of Alfven waves
- Shalloway, David – determining protein structures
- Shoemaker,
Christine – modeling
environmental problems
- Speight,
Evan – migrating
threads in MPI runtime environment
- Sullivan, Patrick – computational agriculture data
mining
- Timmons, Mike – hydraulics of an aquaculture
mixed-cell raceway
- Valero-Cuevas,
Francisco – modeling
the human thumb
- Wiedmann, Martin – deploying a pathogen database
- van Es, Harold – Cornell Computational Agriculture Initiative
- Victor, Jonathan – analyzing neural information processing
- Zabaras, Nicholas – virtual environments
for materials-by-design
