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

Physics-based computational and theoretical approaches to intrinsically disordered proteins
Shea, J. -E., Best, R. B., & Mittal, J. (2021). Physics-based computational and theoretical approaches to intrinsically disordered proteins. Current Opinion In Structural Biology, 67, 219\textendash225. https://doi.org/10.1016/j.sbi.2020.12.012
Palleon: A Runtime System for Efficient Video Processing toward Dynamic Class Skew
Feng, B., Wang, Y., Li, G., Xie, Y., & Ding, Y. (2021). Palleon: A Runtime System for Efficient Video Processing toward Dynamic Class Skew. Presented at the.
Noise-Aware Saliency Prediction for Videos with Incomplete Gaze Data
Prashnani, E., Gallo, O., Kim, J., Spjut, J., Sen, P., & Frosio, I. (2021). Noise-Aware Saliency Prediction for Videos with Incomplete Gaze Data. Arxiv Preprint Arxiv:2104.08038.
A Multi-modal Data Merging Framework for Correlative Investigation of Strain Localization in Three Dimensions
Charpagne, M. A., Stinville, J. C., Polonsky, A. T., Echlin, M. P., & Pollock, T. M. (2021). A Multi-modal Data Merging Framework for Correlative Investigation of Strain Localization in Three Dimensions. Jom, 73, 3263\textendash3271.
A microcanonical approach to temperature-transferable coarse-grained models using the relative entropy
Pretti, E., & Shell, S. (2021). A microcanonical approach to temperature-transferable coarse-grained models using the relative entropy. The Journal Of Chemical Physics, 155, 094102.
Mechanical Metrics of Virtual Polycrystals (MechMet)
Dawson, P. R., Miller, M. P., Pollock, T. M., Wendorf, J., Mills, L. H., Stinville, J. C., et al. (2021). Mechanical Metrics of Virtual Polycrystals (MechMet). Integrating Materials And Manufacturing Innovation, 1\textendash21. https://doi.org/10.1007/s40192-021-00206-7
Mass Transfer and Stellar Evolution of the White Dwarfs in AM CVn Binaries
Wong, T. L. S., & Bildsten, L. (2021). Mass Transfer and Stellar Evolution of the White Dwarfs in AM CVn Binaries. The Astrophysical Journal, 923, 125.
Magnetoentropic mapping and computational modeling of cycloids and skyrmions in the lacunar spinels GaV 4 S 8 and GaV 4 Se 8
Zuo, J. L., Kitchaev, D., Schueller, E. C., Bocarsly, J. D., Seshadri, R., Van der Ven, A., & Wilson, S. D. (2021). Magnetoentropic mapping and computational modeling of cycloids and skyrmions in the lacunar spinels GaV 4 S 8 and GaV 4 Se 8. Physical Review Materials, 5, 054410. https://doi.org/10.1103/PhysRevMaterials.5.054410
Magnetocaloric behavior and magnetic ordering in MnPdGa
Oey, Y. M., Kitchaev, D. A., Bocarsly, J. D., Schueller, E. C., Cooley, J. A., & Seshadri, R. (2021). Magnetocaloric behavior and magnetic ordering in MnPdGa. Physical Review Materials, 5, 014414. https://doi.org/10.1103/PhysRevMaterials.5.014414
Luminescent Metalenses for Focusing Spontaneous Emission
Mohtashami, Y., DeCrescent, R., Heki, L., Iyer, P., Butakov, N., Wong, M., et al. (2021). Luminescent Metalenses for Focusing Spontaneous Emission. Presented at the. IEEE.
The Long and Short of Labor Supply Changes
Nusbaum, C. (2021). The Long and Short of Labor Supply Changes.
Double-free-layer magnetic tunnel junctions for probabilistic bits
Camsari, K. Y., Torunbalci, M. M., Borders, W. A., Ohno, H., & Fukami, S. (2021). Double-free-layer magnetic tunnel junctions for probabilistic bits. Physical Review Applied, 15, 044049. https://doi.org/10.1103/PhysRevApplied.15.044049
Cosmic-CoNN: A Cosmic Ray Detection Deep-Learning Framework, Dataset, and Toolkit
Xu, C., McCully, C., Dong, B., Howell, A., & Sen, P. (2021). Cosmic-CoNN: A Cosmic Ray Detection Deep-Learning Framework, Dataset, and Toolkit. Arxiv Preprint Arxiv:2106.14922.
Defect Chemistry and Hydrogen Transport in La/Sr-Based Oxyhydrides
Rowberg, A. J. E., Weston, L., & Van de Walle, C. G. (2021). Defect Chemistry and Hydrogen Transport in La/Sr-Based Oxyhydrides. The Journal Of Physical Chemistry C, 125, 2250\textendash2256. https://doi.org/10.1021/acs.jpcc.0c09222
Demystifying Species Interactions: Conservation and Theory from the Model Island System of Palmyra Atoll
Kuile, A. M. -ter. (2021). Demystifying Species Interactions: Conservation and Theory from the Model Island System of Palmyra Atoll.
Determining crystallographic orientation via hybrid convolutional neural network
Ding, Z., Zhu, C., & De Graef, M. (2021). Determining crystallographic orientation via hybrid convolutional neural network. Materials Characterization, 111213.
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
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.
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.
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.