Princeton Inst for Computational Science & Eng (PICSciE)

Organization profile

Organization profile

The Princeton Institute for Computational Science and Engineering (PICSciE) is an interdisciplinary institute designed to bring together faculty and researchers from diverse backgrounds leveraging their broad expertise to address new and relevant computational problems and thereby contribute to the body of scientific knowledge.

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

decay Physics & Astronomy
center of mass Physics & Astronomy
detectors Physics & Astronomy
leptons Physics & Astronomy
energy Physics & Astronomy
photons Physics & Astronomy
simulation Physics & Astronomy
collisions Physics & Astronomy

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Research Output 1977 2019

A Computational Framework for Genome-wide Characterization of the Human Disease Landscape

Lee, Y. S., Krishnan, A., Oughtred, R., Rust, J., Chang, C. S., Ryu, J., Kristensen, V. N., Dolinski, K., Theesfeld, C. L. & Troyanskaya, O. G., Feb 27 2019, In : Cell Systems. 8, 2, p. 152-162.e6

Princeton University

Research output: Contribution to journalArticle

Genome
Drug Repositioning
Rare Diseases
Neuroblastoma
Transcriptome

Architectural Support for Containment-based Security

Zhang, H., Ghosh, S., Fix, J., Apostolakis, S., Beard, S. R., Nagendra, N. P., Oh, T. & August, D. I., Apr 4 2019, ASPLOS 2019 - 24th International Conference on Architectural Support for Programming Languages and Operating Systems. Association for Computing Machinery, p. 361-377 17 p. (International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS).

Princeton University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Hardware
Communication
Security systems
Supply chains
Formal verification

A Resolution Study of Magnetically Arrested Disks

White, C. J., Stone, J. M. & Quataert, E., Apr 1 2019, In : Astrophysical Journal. 874, 2, 168.

Princeton University

Research output: Contribution to journalArticle

magnetohydrodynamics
metal spinning
magnetic flux
synchrotrons
simulation