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Hannah K Wayment-Steele

Showing results (1-10 of 27) with videos related to

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The Journal of Chemical Physics|December 12, 2018
Note: Variational encoding of protein dynamics benefits from maximizing latent autocorrelationHannah K Wayment-Steele, Vijay S Pande
Soft Matter|February 7, 2017
Investigating the role of boundary bricks in DNA brick self-assemblyHannah K Wayment-Steele, Daan Frenkel, Aleks Reinhardt
Journal of Chemical Theory and Computation|March 13, 2018
Transferable Neural Networks for Enhanced Sampling of Protein DynamicsMohammad M Sultan, Hannah K Wayment-Steele, Vijay S Pande
Journal of Molecular Biology|August 8, 2025
Does Sequence Clustering Confound AlphaFold2?Hannah K Wayment-Steele, Sergey Ovchinnikov, Lucy Colwell, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
SLAE: Strictly Local All-atom Environment for Protein RepresentationYilin Chen, Cizhang Zhao, Po-Ssu Huang, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 28, 2024
Protein language models learn evolutionary statistics of interacting sequence motifsZhidian Zhang, Hannah K Wayment-Steele, Garyk Brixi, et al.
Journal of Chemical Theory and Computation|December 19, 2017
A Minimum Variance Clustering Approach Produces Robust and Interpretable Coarse-Grained ModelsBrooke E Husic, Keri A McKiernan, Hannah K Wayment-Steele, et al.
Physical Review. E|July 18, 2018
Variational encoding of complex dynamicsCarlos X Hernández, Hannah K Wayment-Steele, Mohammad M Sultan, et al.
Nature Methods|October 3, 2022
RNA secondary structure packages evaluated and improved by high-throughput experimentsHannah K Wayment-Steele, Wipapat Kladwang, Alexandra I Strom, et al.
ACS Applied Materials & Interfaces|May 23, 2014
Monitoring N3 dye adsorption and desorption on TiO2 surfaces: a combined QCM-D and XPS studyHannah K Wayment-Steele, Lewis E Johnson, Fangyuan Tian, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
The Journal of Chemical Physics|December 12, 2018
Note: Variational encoding of protein dynamics benefits from maximizing latent autocorrelationHannah K Wayment-Steele, Vijay S Pande
Soft Matter|February 7, 2017
Investigating the role of boundary bricks in DNA brick self-assemblyHannah K Wayment-Steele, Daan Frenkel, Aleks Reinhardt
Journal of Chemical Theory and Computation|March 13, 2018
Transferable Neural Networks for Enhanced Sampling of Protein DynamicsMohammad M Sultan, Hannah K Wayment-Steele, Vijay S Pande
Journal of Molecular Biology|August 8, 2025
Does Sequence Clustering Confound AlphaFold2?Hannah K Wayment-Steele, Sergey Ovchinnikov, Lucy Colwell, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
SLAE: Strictly Local All-atom Environment for Protein RepresentationYilin Chen, Cizhang Zhao, Po-Ssu Huang, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 28, 2024
Protein language models learn evolutionary statistics of interacting sequence motifsZhidian Zhang, Hannah K Wayment-Steele, Garyk Brixi, et al.
Journal of Chemical Theory and Computation|December 19, 2017
A Minimum Variance Clustering Approach Produces Robust and Interpretable Coarse-Grained ModelsBrooke E Husic, Keri A McKiernan, Hannah K Wayment-Steele, et al.
Physical Review. E|July 18, 2018
Variational encoding of complex dynamicsCarlos X Hernández, Hannah K Wayment-Steele, Mohammad M Sultan, et al.
Nature Methods|October 3, 2022
RNA secondary structure packages evaluated and improved by high-throughput experimentsHannah K Wayment-Steele, Wipapat Kladwang, Alexandra I Strom, et al.
ACS Applied Materials & Interfaces|May 23, 2014
Monitoring N3 dye adsorption and desorption on TiO2 surfaces: a combined QCM-D and XPS studyHannah K Wayment-Steele, Lewis E Johnson, Fangyuan Tian, et al.
Pageof 3