Publications

CSC research acknowledged in publications and presentations.

Please remember to continue to acknowledge the use of CSC resources with

 

Use was made of computational facilities purchased with funds from the National Science Foundation (CNS-1725797) and administered by the Center for Scientific Computing (CSC). The CSC is supported by the California NanoSystems Institute and the Materials Research Science and Engineering Center (MRSEC; NSF DMR 2308708) at UC Santa Barbara.

Selected Publications

2020

Connecting Solute Diffusion to Morphology in Triblock Copolymer Membranes
Howard, M. P., Lequieu, J., Delaney, K. T., Ganesan, V., Fredrickson, G. H., & Truskett, T. M. (2020). Connecting Solute Diffusion to Morphology in Triblock Copolymer Membranes. Macromolecules. https://doi.org/10.1021/acs.macromol.0c00104
Doping molecular organic semiconductors by diffusion from the vapor phase
Peterson, K. A., Patterson, A., Vega-Flick, A., Liao, B., & Chabinyc, M. L. (2020). Doping molecular organic semiconductors by diffusion from the vapor phase. Materials Chemistry Frontiers. https://doi.org/10.1039/D0QM00442A
Do Environmental Markets Cause Environmental Injustice? Evidence from California\textquoterights Carbon Market
Hernandez-Cortes, D., & Meng, K. C. (2020). Do Environmental Markets Cause Environmental Injustice? Evidence from California\textquoterights Carbon Market. https://doi.org/10.3386/w27205
Discovering hierarchies among intermetallic crystal structures
Kolli, S. K., Natarajan, A. R., Thomas, J. C., Pollock, T. M., & Van der Ven, A. (2020). Discovering hierarchies among intermetallic crystal structures. Physical Review Materials, 4, 113604. https://doi.org/10.1103/PhysRevMaterials.4.113604
Digital design of crystalline solids
Landis, S., Zhao, Y., & Doherty, M. F. (2020). Digital design of crystalline solids. Computers \& Chemical Engineering, 133, 106637. https://doi.org/10.1016/j.compchemeng.2019.106637
Diffusive scaling of R\ enyi entanglement entropy
Zhou, T., & Ludwig, A. W. W. (2020). Diffusive scaling of R\ enyi entanglement entropy. Physical Review Research, 2, 033020. https://doi.org/10.1103/PhysRevResearch.2.033020
Dependence of carrier escape lifetimes on quantum barrier thickness in InGaN/GaN multiple quantum well photodetectors
Chow, Y. C., Lee, C., Wong, M. S., Wu, Y. -R., Nakamura, S., DenBaars, S. P., et al. (2020). Dependence of carrier escape lifetimes on quantum barrier thickness in InGaN/GaN multiple quantum well photodetectors. Optics Express, 28, 23796\textendash23805. https://doi.org/10.1364/OE.399924
Dehydration entropy drives liquid-liquid phase separation by molecular crowding
Park, S., Barnes, R., Lin, Y., Jeon, B. -jin, Najafi, S., Delaney, K. T., et al. (2020). Dehydration entropy drives liquid-liquid phase separation by molecular crowding. Communications Chemistry, 3, 1\textendash12. https://doi.org/10.1038/s42004-020-0328-8
Deepsniffer: A dnn model extraction framework based on learning architectural hints
Hu, X., Liang, L., Li, S., Deng, L., Zuo, P., Ji, Y., et al. (2020). Deepsniffer: A dnn model extraction framework based on learning architectural hints. Presented at the.
Deep learning seismic substructure detection using the Frozen Gaussian approximation
Hateley, J. C., Roberts, J., Mylonakis, K., & Yang, X. (2020). Deep learning seismic substructure detection using the Frozen Gaussian approximation. Journal Of Computational Physics, 409, 109313. https://doi.org/10.1016/j.jcp.2020.109313
Deep Learning and Self-Consistent Field Theory to Accelerate Polymer Phase Discovery
Xuan, Y., Delaney, K. T., Ceniceros, H. D., & Fredrickson, G. H. (2020). Deep Learning and Self-Consistent Field Theory to Accelerate Polymer Phase Discovery.
Decomposition and embedding in the stochastic GW self-energy
Romanova, M., & Vlcek, V. (2020). Decomposition and embedding in the stochastic GW self-energy. The Journal Of Chemical Physics, 153, 134103. https://doi.org/10.1063/5.0020430
Cs V 3 Sb 5: A Z 2 Topological Kagome Metal with a Superconducting Ground State
Ortiz, B. R., Teicher, S. M. L., Hu, Y., Zuo, J. L., Sarte, P. M., Schueller, E. C., et al. (2020). Cs V 3 Sb 5: A Z 2 Topological Kagome Metal with a Superconducting Ground State. Physical Review Letters, 125, 247002. https://doi.org/10.1103/PhysRevLett.125.247002
Convectively Driven 3D Turbulence in Massive Star Envelopes. I. A 1D Implementation of Diffusive Radiative Transport
Schultz, W. C., Bildsten, L., & Jiang, Y. -F. (2020). Convectively Driven 3D Turbulence in Massive Star Envelopes. I. A 1D Implementation of Diffusive Radiative Transport. The Astrophysical Journal, 902, 67. https://doi.org/10.3847/1538-4357/abb405
Atomistic simulations of dynamics of an edge dislocation and its interaction with a void in copper: A comparative study
Jian, W. -R., Zhang, M., Xu, S., & Beyerlein, I. (2020). Atomistic simulations of dynamics of an edge dislocation and its interaction with a void in copper: A comparative study. Modelling And Simulation In Materials Science And Engineering. https://doi.org/10.1088/1361-651X/ab8358
Catalytic Methane Pyrolysis in Molten Alkali Chloride Salts Containing Iron
Kang, D., Palmer, C., Mannini, D., Rahimi, N., Gordon, M. J., Metiu, H., & McFarland, E. W. (2020). Catalytic Methane Pyrolysis in Molten Alkali Chloride Salts Containing Iron. Acs Catalysis. https://doi.org/10.1021/acscatal.0c01262
Boosting deep neural network efficiency with dual-module inference
Liu, L., Deng, L., Chen, Z., Wang, Y., Li, S., Zhang, J., et al. (2020). Boosting deep neural network efficiency with dual-module inference. Presented at the. PMLR.
Band alignments and polarization properties of the Zn-IV-nitrides
Adamski, N. L., Wickramaratne, D., & Van de Walle, C. G. (2020). Band alignments and polarization properties of the Zn-IV-nitrides. Journal Of Materials Chemistry C. https://doi.org/10.1039/D0TC01578D
Catalytic Methane Pyrolysis with Liquid and Vapor Phase Tellurium
Zeng, J., Tarazkar, M., Pennebaker, T., Gordon, M. J., Metiu, H., & McFarland, E. W. (2020). Catalytic Methane Pyrolysis with Liquid and Vapor Phase Tellurium. Acs Catalysis, 10, 8223\textendash8230. https://doi.org/10.1021/acscatal.0c00805
Atomistic calculations of the generalized stacking fault energies in two refractory multi-principal element alloys
Xu, S., Hwang, E., Jian, W. -R., Su, Y., & Beyerlein, I. J. (2020). Atomistic calculations of the generalized stacking fault energies in two refractory multi-principal element alloys. Intermetallics, 124, 106844. https://doi.org/10.1016/j.intermet.2020.106844