Bonnet, G., Charbonneau, P., & Folena, G. (2023). Data and scripts from: Glass-like caging with random planes. Duke Research Data Repository. https://doi.org/10.7924/r4gx4hm10
Prince, J., & Jones, A. D., III. (2023). Data and scripts from: Heterogenous biofilm mass-transport model replicates periphery sequestration of antibiotics in Pseudomonas aeruginosa PAO1 microcolonies. Duke Research Data Repository. https://doi.org/10.7924/r4pr80j7f
Morse, P., & Charbonneau, P. (2023). Data and scripts from: Jamming, relaxation, and memory in a minimally structured glass former. Duke Research Data Repository. https://doi.org/10.7924/r4th8qc0b
Chen, Z., & Yang, W. (2023). Data and scripts from: Development of a machine-learning finite-range nonlocal density functional. Duke Research Data Repository. https://doi.org/10.7924/r4fj2p230
Gilbert, J. E., Zhang, T., Esteller, R., Grill, W. M. (2023). Model Code and Supplemental Figures for: Network Model of Nociceptive Processing in the Superficial Spinal Dorsal Horn Reveals Mechanisms of Hyperalgesia, Allodynia, and Spinal Cord Stimulation. Duke Research Data Repository. https://doi.org/10.7924/r45h7qg0d
Martin, A., Liu, G., Ladd, W., Lee, S., Gounley, J., Vetter, J., Patel, S., Rizzi, S., Mateevitsi, V., Insley, J., Randles, A. (2023). Data and scripts from: Performance evaluation of heterogenous GPU programming frameworks for hemodynamic simulations. Duke Research Data Repository. https://doi.org/10.7924/r45t3t64k
Yousef, A., Rizzi, S., Insley, J., Mateevitsi, V., Randles, A. (2023). Data from: Enabling in situ visualization of large-scale cell simulations. Duke Research Data Repository. https://doi.org/10.7924/r49g5tm50
Tanade, C., Rakestraw, E., Ladd, W., Draeger, E., Randles, A. (2023). Data from: Cloud computing to enable wearable-driven longitudinal hemodynamic maps. Duke Research Data Repository. https://doi.org/10.7924/r4f76jd8n
Barth, B. B., Redington, E. R., Gautam, N., Pelot, N. A., Grill, W. M. (2023). Data from: Calcium image analysis in the moving gut (CIAMG). Duke Research Data Repository. https://doi.org/10.7924/r4js9v06m
Fu, D., Pradeep Narayanan, R., Prasad, A., Zhang, F., Williams, D., Schreck, J., Yan, H. & Reif, J. (2022). Data from: Automated design of 3D DNA origami with non-rasterized 2D curvature. Duke Research Data Repository. https://doi.org/10.7924/r4d223179
Warnell, K., Olander, L., Currin, C. (2022). Data and scripts from: Sea level rise drives carbon and habitat loss in the U.S. mid-Atlantic coastal zone. Duke Research Data Repository. https://doi.org/10.7924/r4cr5zc7v
Joardar, B. K., Bletsch, T.K., Chakrabarty, K. (2022). Data from: Machine learning-based rowhammer mitigation. Duke Research Data Repository. https://doi.org/10.7924/r4hh6p604
Charbonneau, P., Morse, P. K., Perkins, W., & Zamponi, F. (2021). Data from: Three simple scenarios for high-dimensional sphere packings. Duke Research Data Repository. https://doi.org/10.7924/r40z78x37
Charbonneau, P., Gish, C., Hoy, R. & Morse, P. (2021). Data from: thermodynamic stability of hard sphere crystals in dimensions 3 through 10. Duke Research Data Repository. https://doi.org/10.7924/r4jh3mw3w
Ciocanel, V. (2021). Data and scripts from: Actin reorganization throughout the cell cycle mediated by motor proteins. Duke Research Data Repository. https://doi.org/10.7924/r4zp43t43