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

2021

Direct numerical simulation of incompressible flows on parallel Octree grids
Egan, R., Guittet, A., Temprano-Coleto, F., Isaac, T., Peaudecerf, F. \c cois J., Landel, J. R., et al. (2021). Direct numerical simulation of incompressible flows on parallel Octree grids. Journal Of Computational Physics, 428, 110084. https://doi.org/10.1016/j.jcp.2020.110084
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions
Wang, Y., Feng, B., & Ding, Y. (2021). DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions. Arxiv Preprint Arxiv:2101.00745.
Effects of consumer surface sterilization on diet DNA metabarcoding data of terrestrial invertebrates in natural environments and feeding trials
Kuile, A. M. -ter, Apigo, A., & Young, H. S. (2021). Effects of consumer surface sterilization on diet DNA metabarcoding data of terrestrial invertebrates in natural environments and feeding trials. Ecology And Evolution.
An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks
Wang, Y., Feng, B., Peng, X., & Ding, Y. (2021). An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks.
Efficient Tensor Core-Based GPU Kernels for Structured Sparsity under Reduced Precision
Chen, Z., Qu, Z., Liu, L., Ding, Y., & Xie, Y. (2021). Efficient Tensor Core-Based GPU Kernels for Structured Sparsity under Reduced Precision.
Electronic properties of the topological kagome metals YV 6 Sn 6 and GdV 6 Sn 6
Pokharel, G., Teicher, S. M. L., Ortiz, B. R., Sarte, P. M., Wu, G., Peng, S., et al. (2021). Electronic properties of the topological kagome metals YV 6 Sn 6 and GdV 6 Sn 6. Physical Review B, 104, 235139.
Elucidating the Impact of Mg Substitution on the Properties of NASICON-Na3+ yV2- yMgy (PO4) 3 Cathodes
Ghosh, S., Barman, N., Gonzalez-Correa, E., Mazumder, M., Zaveri, A., Giovine, R., et al. (2021). Elucidating the Impact of Mg Substitution on the Properties of NASICON-Na3+ yV2- yMgy (PO4) 3 Cathodes. Advanced Functional Materials, 2105463.
Liquid-liquid phase separation of Tau by self and complex coacervation
Najafi, S., Lin, Y., Longhini, A. P., Zhang, X., Delaney, K. T., Kosik, K. S., et al. (2021). Liquid-liquid phase separation of Tau by self and complex coacervation. Protein Science. https://doi.org/10.1002/pro.4101
Integrated single-cell sequencing of 5-hydroxymethylcytosine and genomic DNA using scH\&G-seq
Chialastri, A., Wangsanuwat, C., & Dey, S. S. (2021). Integrated single-cell sequencing of 5-hydroxymethylcytosine and genomic DNA using scH\&G-seq. Star Protocols, 2, 101016.
Initial Steps in CH4 Pyrolysis on Cu and Ni
Zeng, J., Tarazkar, M., Palmer, C., Gordon, M. J., Metiu, H., & McFarland, E. W. (2021). Initial Steps in CH4 Pyrolysis on Cu and Ni. The Journal Of Physical Chemistry C.
Influence of plastic deformation on the magnetic properties of Heusler MnAu 2 Al
Levin, E. E., Kitchaev, D. A., Eggeler, Y. M., Mayer, J. A., Behera, P., Gianola, D. S., et al. (2021). Influence of plastic deformation on the magnetic properties of Heusler MnAu 2 Al. Physical Review Materials, 5, 014408. https://doi.org/10.1103/PhysRevMaterials.5.014408
Industrial, large-scale model predictive control with structured neural networks
Kumar, P., Rawlings, J. B., & Wright, S. J. (2021). Industrial, large-scale model predictive control with structured neural networks. Computers \& Chemical Engineering, 107291. https://doi.org/10.1016/j.compchemeng.2021.107291
Incorporation of Si and Sn donors in β-Ga2O3 through surface reconstructions
Wang, M., Mu, S., & Van de Walle, C. G. (2021). Incorporation of Si and Sn donors in β-Ga2O3 through surface reconstructions. Journal Of Applied Physics, 130, 185703.
How to construct cross-border cooperation? Local border traffic as a mechanism of shaping the external relations of the European Union and Schengen Area from the perspective of constructivism: the case of the Baltic Sea Region
egota, K. \.Z. \k. (2021). How to construct cross-border cooperation? Local border traffic as a mechanism of shaping the external relations of the European Union and Schengen Area from the perspective of constructivism: the case of the Baltic Sea Region. Journal Of Baltic Studies, 1\textendash21. https://doi.org/10.1080/01629778.2021.1925717
Hole Trapping at Acceptor Impurities and Alloying Elements in AlN
Lyons, J. L., & Van de Walle, C. G. (2021). Hole Trapping at Acceptor Impurities and Alloying Elements in AlN. Physica Status Solidi (Rrl)\Textendashrapid Research Letters. https://doi.org/10.1002/pssr.202100218
Gold-catalysed asymmetric net addition of unactivated propargylic C\textendashH bonds to tethered aldehydes
Li, T., Cheng, X., Qian, P., & Zhang, L. (2021). Gold-catalysed asymmetric net addition of unactivated propargylic C\textendashH bonds to tethered aldehydes. Nature Catalysis, 4, 164\textendash171. https://doi.org/10.1038/s41929-020-00569-8
Emergence of Hexagonally Close-Packed Spheres in Linear Block Copolymer Melts
Zhang, C., Vigil, D. L., Sun, D., Bates, M. W., Loman, T., Murphy, E. A., et al. (2021). Emergence of Hexagonally Close-Packed Spheres in Linear Block Copolymer Melts. Journal Of The American Chemical Society.
ENMC: Extreme Near-Memory Classification via Approximate Screening
Liu, L., Lin, J., Qu, Z., Ding, Y., & Xie, Y. (2021). ENMC: Extreme Near-Memory Classification via Approximate Screening.
Emergent Replica Conformal Symmetry in Non-Hermitian SYK $ _2 $ Chains
Zhang, P., Jian, S. -K., Liu, C., & Chen, X. (2021). Emergent Replica Conformal Symmetry in Non-Hermitian SYK $ _2 $ Chains. Quantum, 5, 579.
GNNAdvisor: An Adaptive and Efficient Runtime System for $$GNN$$ Acceleration on GPUs
Wang, Y., Feng, B., Li, G., Li, S., Deng, L., Xie, Y., & Ding, Y. (2021). GNNAdvisor: An Adaptive and Efficient Runtime System for $$GNN$$ Acceleration on GPUs. Presented at the.