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

Monomer Sequence Effects on Interfacial Width and Mixing in Self-Assembled Diblock Copolymers
Patterson, A. L., Yu, B., Danielsen, S. P. O., Davidson, E. C., Fredrickson, G. H., & Segalman, R. A. (2020). Monomer Sequence Effects on Interfacial Width and Mixing in Self-Assembled Diblock Copolymers. Macromolecules. https://doi.org/10.1021/acs.macromol.9b02426
Mechanisms of Asymmetric Membrane Formation in Nonsolvent-Induced Phase Separation
Garcia, J. U., Iwama, T., Chan, E. Y., Tree, D. R., Delaney, K. T., & Fredrickson, G. H. (2020). Mechanisms of Asymmetric Membrane Formation in Nonsolvent-Induced Phase Separation. Acs Macro Letters, 9, 1617\textendash1624. https://doi.org/10.1021/acsmacrolett.0c00609
Mapping skyrmion stability in uniaxial lacunar spinel magnets from first principles
Kitchaev, D. A., Schueller, E. C., & Van der Ven, A. (2020). Mapping skyrmion stability in uniaxial lacunar spinel magnets from first principles. Physical Review B, 101, 054409. https://doi.org/10.1103/PhysRevB.101.054409
Magnetostructural coupling from competing magnetic and chemical bonding effects
Bocarsly, J. D., Johannes, M. D., Wilson, S. D., & Seshadri, R. (2020). Magnetostructural coupling from competing magnetic and chemical bonding effects. Physical Review Research, 2, 042048. https://doi.org/10.1103/PhysRevResearch.2.042048
Local slip resistances in equal-molar MoNbTi multi-principal element alloy
Xu, S., Su, Y., Jian, W. -R., & Beyerlein, I. J. (2020). Local slip resistances in equal-molar MoNbTi multi-principal element alloy. Acta Materialia. https://doi.org/10.1016/j.actamat.2020.10.042
Learning composition-transferable coarse-grained models: Designing external potential ensembles to maximize thermodynamic information
Shen, K., Sherck, N., Nguyen, M., Yoo, B., Köhler, S., Speros, J., et al. (2020). Learning composition-transferable coarse-grained models: Designing external potential ensembles to maximize thermodynamic information. The Journal Of Chemical Physics, 153, 154116. https://doi.org/10.1063/5.0022808
Latent Models of Molecular Dynamics Data: Automatic Order Parameter Generation for Peptide Fibrillization
Charest, N., Tro, M., Bowers, M. T., & Shea, J. -E. (2020). Latent Models of Molecular Dynamics Data: Automatic Order Parameter Generation for Peptide Fibrillization. The Journal Of Physical Chemistry B, 124, 8012\textendash8022. https://doi.org/10.1021/acs.jpcb.0c05763
Kinetic sequencing (k-Seq) as a massively parallel assay for ribozyme kinetics: utility and critical parameters
Shen, Y., Pressman, A. D., Janzen, E., & Chen, I. A. (2020). Kinetic sequencing (k-Seq) as a massively parallel assay for ribozyme kinetics: utility and critical parameters. Biorxiv. https://doi.org/10.1093/nar/gkab199
Irradiation of Nanostrained Monolayer WSe $ _2 $ for Site-Controlled Single-Photon Emission up to 150 K
Parto, K., Banerjee, K., & Moody, G. (2020). Irradiation of Nanostrained Monolayer WSe $ _2 $ for Site-Controlled Single-Photon Emission up to 150 K. Arxiv Preprint Arxiv:2009.07315. https://doi.org/arXiv:2009.07315
iPIM: Programmable in-memory image processing accelerator using near-bank architecture
Gu, P., Xie, X., Ding, Y., Chen, G., Zhang, W., Niu, D., & Xie, Y. (2020). iPIM: Programmable in-memory image processing accelerator using near-bank architecture. Presented at the. IEEE.
Interfacial structure and strain accommodation in two-phase Nb Co 1.2 Sn Heusler intermetallics
Eggeler, Y. M., Levin, E. E., Wang, F., Kitchaev, D. A., Van der Ven, A., Seshadri, R., et al. (2020). Interfacial structure and strain accommodation in two-phase Nb Co 1.2 Sn Heusler intermetallics. Physical Review Materials, 4, 093601. https://doi.org/10.1103/PhysRevMaterials.4.093601
Inflection points in the conduction-band structure of BaSn O 3
Rowberg, A. J. E., Krishnaswamy, K., & Van de Walle, C. G. (2020). Inflection points in the conduction-band structure of BaSn O 3. Physical Review B, 102, 115201. https://doi.org/10.1103/PhysRevB.102.115201
Indexing of electron back-scatter diffraction patterns using a convolutional neural network
Ding, Z., Pascal, E., & De Graef, M. (2020). Indexing of electron back-scatter diffraction patterns using a convolutional neural network. Acta Materialia, 199, 370\textendash382. https://doi.org/10.1016/j.actamat.2020.08.046
High order magnon bound states in the quasi-one-dimensional antiferromagnet $$\backslash$alpha $-NaMnO $ _2$
Dally, R. L., Heng, A., Keselman, A., Bordelon, M. M., Stone, M. B., Balents, L., & Wilson, S. D. (2020). High order magnon bound states in the quasi-one-dimensional antiferromagnet $$\backslash$alpha $-NaMnO $ _2$. Arxiv Preprint Arxiv:2001.07300. https://doi.org/https://arxiv.org/abs/2001.07300v1
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
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
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.
Computational screening of magnetocaloric alloys
Garcia, C. A. C., Bocarsly, J. D., & Seshadri, R. (2020). Computational screening of magnetocaloric alloys. Physical Review Materials, 4, 024402. https://doi.org/10.1103/PhysRevMaterials.4.024402