| Large-scale design and refinement of stable proteins using sequence-only models JM Singer, S Novotney, D Strickland, HK Haddox, N Leiby, GJ Rocklin, ... PloS one 17 (3), e0265020, 2022 | 30 | 2022 |
| New guidance for using t-SNE: Alternative defaults, hyperparameter selection automation, and comparative evaluation R Gove, L Cadalzo, N Leiby, JM Singer, A Zaitzeff Visual Informatics 6 (2), 87-97, 2022 | 29 | 2022 |
| Second order threshold dynamics schemes for two phase motion by mean curvature A Zaitzeff, S Esedoḡlu, K Garikipati Journal of Computational Physics 410, 109404, 2020 | 11 | 2020 |
| Improved datasets and evaluation methods for the automatic prediction of DNA-binding proteins A Zaitzeff, N Leiby, FC Motta, SB Haase, JM Singer Bioinformatics 38 (1), 44-51, 2022 | 6 | 2022 |
| A robust algorithm to calculate parent β grain shapes and orientations from α phase electron backscatter diffraction data in α/β-titanium alloys A Zaitzeff, A Pilchak, T Berman, J Allison, S Esedoglu Scripta Materialia 191, 191-195, 2021 | 6 | 2021 |
| Variational extrapolation of implicit schemes for general gradient flows A Zaitzeff, S Esedoglu, K Garikipati SIAM Journal on Numerical Analysis 58 (5), 2799-2817, 2020 | 5 | 2020 |
| On the voronoi implicit interface method A Zaitzeff, S Esedoglu, K Garikipati SIAM Journal on Scientific Computing 41 (4), A2407-A2429, 2019 | 4 | 2019 |
| Comparison and evaluation of data-driven protein stability prediction models JA Csicsery-Ronay, A Zaitzeff, JM Singer Biorxiv, 2022.03. 14.483859, 2022 | 3 | 2022 |
| High order, semi-implicit, energy stable schemes for gradient flows A Zaitzeff, S Esedoḡlu, K Garikipati Journal of Computational Physics 447, 110688, 2021 | 3 | 2021 |
| High Order Schemes for Gradient Flows A Zaitzeff | | 2020 |
