SRCC-enabled publications

Below are selected publications that have utilized and acknowledged Stanford Research Computing Center's computational resources and expertise.

It is important that publications resulting from computations performed on Sherlock acknowledge this. The following wording is suggested for your Acknowledgements section:

"Some of the computing for this project was performed on the Sherlock (or XStream, Farmshare, SCG) cluster. We would like to thank Stanford University and the Stanford Research Computing Center for providing computational resources and support that contributed to these research results."

2018

Imaging CF3I conical intersection and photodissociation dynamics with ultrafast electron diffraction
Jie Yang, Xiaolei Zhu, Thomas J. A. Wolf, Zheng Li, J. Pedro F. Nunes, Ryan Coffee, James P. Cryan, Markus Gühr, Kareem Hegazy, Tony F. Heinz, Keith Jobe, Renkai Li,
 Xiaozhe Shen, Theodore Veccione, Stephen Weathersby, Kyle J. Wilkin, Charles Yoneda, Qiang Zheng, Todd J. Martinez, Martin Centurion, Xijie Wang
Science  06 Jul 2018:
Vol. 361, Issue 6397, pp. 64-67
DOI: 10.1126/science.aat0049

Unraveling electronic absorption spectra using nuclear quantum effects: Photoactive yellow protein and green fluorescent protein chromophores in water
Tim J. Zuehlsdorff1, Joseph A. Napoli, Joel M. Milanese, Thomas E. Markland, and Christine M. Isborn
The Journal of Chemical Physics 149, 024107 (2018); https://doi.org/10.1063/1.5025517

Simple, direct and efficient multi-way spectral clustering
A Damle, V Minden, L Ying
Information and Inference: A Journal of the IMA, 2018
https://doi.org/10.1093/imaiai/iay008

Bioimpedance and New‐Onset Heart Failure: A Longitudinal Study of >500 000 Individuals From the General Population
Daniel Lindholm, Eri Fukaya, Nicholas J. Leeper, Erik Ingelsson
Journal of the American Heart Association. 2018;7:e008970,
https://doi.org/10.1161/JAHA.118.008970 Originally published June 29, 2018

Investigating the role of non-covalent interactions in conformation and assembly of triazine-based sequence-defined polymers
Surl-Hee Ahn, Jay W. Grate, and Eric F. Darve
The Journal of Chemical Physics 149, 072330 (2018); https://doi.org/10.1063/1.5024552

Direct Methane to Methanol: The Selectivity–Conversion Limit and Design Strategies
Allegra A. Latimer, Arvin Kakekhani, Ambarish R. Kulkarni, and Jens K. Nørskov
ACS Catal., 2018, 8, pp 6894–6907
DOI: 10.1021/acscatal.8b00220 Publication Date (Web): June 29, 2018

Efficient Threshold Selection for Multivariate Total Variation Denoising  
Sylvain Sardy & Hatef Monajemi       
Journal of Computational and Graphical Statistics
10 May 2018 DOI: 10.1080/10618600.2018.1476251

MRI to MGMT: predicting methylation status in glioblastoma patients using convolutional recurrent neural networks
Han L, Kamdar MR.
Pacific Symposium on Biocomputing Pacific Symposium on Biocomputing.
2018;23:331-342.

Nutrient transport suggests an evolutionary basis for charged archaeal surface layer proteins
Po-Nan Li, Jonathan Herrmann, Bradley B. Tolar, Frédéric Poitevin, Rasika Ramdasi, John R. Bargar, David A. Stahl, Grant J. Jensen,
Christopher A. Francis, Soichi Wakatsuki, Henry van den Bedem
The ISME Journal https://doi.org/10.1038/s41396-018-0191-0 Accepted: 14 April 201

Biological Insights Into Muscular Strength: Genetic Findings in the UK Biobank
Emmi Tikkanen, Stefan Gustafsson, David Amar, Anna Shcherbina, Daryl Waggott, Euan A. Ashley & Erik Ingelsson
Nature Scientific Reports volume 8, Article number: 6451 (2018)
doi:10.1038/s41598-018-24735-y

Architecture of an HIV-1 reverse transcriptase initiation complex
Kevin P. Larsen, Yamuna Kalyani Mathiharan, Kalli Kappel, Aaron T. Coey, Dong-Hua Chen, Daniel Barrero, Lauren Madigan, Joseph D. Puglisi, Georgios Skiniotis &
Elisabetta Viani Puglisi
Nature volume 557, pages118–122 (2018)
doi:10.1038/s41586-018-0055-9

The Scientific Filesystem
Vanessa Sochat
GigaScience, Volume 7, Issue 5, 1 May 2018, giy023,
https://doi.org/10.1093/gigascience/giy023

Breakdown of the Migdal-Eliashberg theory: A determinant quantum Monte Carlo study
I. Esterlis, B. Nosarzewski, E. W. Huang, B. Moritz, T. P. Devereaux, D. J. Scalapino, and S. A. Kivelson
Phys. Rev. B 97, 140501(R) – Published 2 April 2018

CRISPR–Cas9 screens in human cells and primary neurons identify modifiers of C9ORF72 dipeptide-repeat-protein toxicity
Nicholas J. Kramer, Michael S. Haney, David W. Morgens, Ana Jovičić, Julien Couthouis, Amy Li, James Ousey, Rosanna Ma, Gregor Bieri, C. Kimberly Tsui, Yingxiao Shi, Nicholas T. Hertz, Marc Tessier-Lavigne, Justin K. Ichida, Michael C. Bassik & Aaron D. Gitler
Nature Genetics (2018)
doi:10.1038/s41588-018-0070-7

Bad metallic transport in a modified Hubbard model
Connie H. Mousatov, Ilya Esterlis, Sean A. Hartnoll
arXiv:1803.08054, 2018 (Submitted on 21 Mar 2018)

Cholesterol enhances influenza binding avidity by controlling nanoscale receptor clustering
I. N. Goronzy, R. J. Rawle, S. G. Boxer and P. M. Kasson
DOI: 10.1039/C7SC03236F Chem. Sci., 2018, 9, 2340-2347

Natural Gradient Deep Q-learning
Ethan Knight, Osher Lerner
arXiv:1803.07482 [cs.LG] (Submitted on 20 Mar 2018)

Machine Learning Harnesses Molecular Dynamics to Discover New μ Opioid Chemotypes
Evan N. Feinberg, Amir Barati Farimani, Rajendra Uprety, Amanda Hunkele, Gavril W. Pasternak, Susruta Majumdar, Vijay S. Pande
arXiv:1803.04479 [q-bio.BM] (Submitted on 12 Mar 2018)

Using Deep Learning for Segmentation and Counting within Microscopy Data
Carlos X. Hernández, Mohammad M. Sultan, Vijay S. Pande
arXiv:1802.10548 [cs.CV] (Submitted on 28 Feb 2018)

Decision functions from supervised machine learning algorithms as collective variables for accelerating molecular simulations
Mohammad M. Sultan, Vijay S. Pande
arXiv:1802.10510 [stat.ML] (Submitted on 28 Feb 2018)

Sterically controlled mechanochemistry under hydrostatic pressure
Hao Yan, Fan Yang, Ding Pan, Yu Lin, J. Nathan Hohman, Diego Solis-Ibarra, Fei Hua Li, Jeremy E. P. Dahl, Robert M. K. Carlson,Boryslav A. Tkachenko, Andrey A. Fokin, Peter R. Schreiner, Giulia Galli, Wendy L. Mao, Zhi-Xun Shen & Nicholas A. Melosh
Nature volume 554, pages 505–510 (22 February 2018)  
DOI:10.1038/nature25765

Comparing fully general relativistic and Newtonian calculations of structure formation
William E. East, Radosław Wojtak, and Tom Abel
Phys. Rev. D 97, 043509 – Published 13 February 2018

Intermolecular correlations are necessary to explain diffuse scattering from protein crystals
A Peck, F Poitevin, TJ Lane
IUCrJ, 2018 - scripts.iucr.org

Unprecedented climate events: Historical changes, aspirational targets, and national commitments
Noah S. Diffenbaugh, Deepti Singh, and Justin S. Mankin
Science Advances  14 Feb 2018:
Vol. 4, no. 2, eaao3354
DOI: 10.1126/sciadv.aao3354

Transferable neural networks for enhanced sampling of protein dynamics  
Mohammad M. Sultan, Hannah K. Wayment-Steele, Vijay S. Pande
eprint arXiv:1801.00636 Publication Date:01/02/2018

Gene-expression profiling of single cells from archival tissue with laser-capture microdissection and Smart-3SEQ
Joseph W Foley, Chunfang Zhu, Philippe Jolivet, Shirley X Zhu, Peipei Lu, Michael J Meaney, Robert B West
doi: https://doi.org/10.1101/207340, January 11, 2018

Reducing Noise in Cosmological N-body Simulations with Neutrinos
Arka Banerjee, Devon Powell, Tom Abel, Francisco Villaescusa-Navarro
arXiv:1801.03906  Submitted 11 Jan 2018
 

2017

Comprehensive computational design of ordered peptide macrocycles
Parisa Hosseinzadeh, Gaurav Bhardwaj, Vikram Khipple Mulligan, Matthew D. Shortridge, Timothy W. Craven, Fátima Pardo-Avila, Stephen A. Rettie, David E. Kim, Daniel-Adriano Silva, Yehia M. Ibrahim, Ian K. Webb, John R. Cort, Joshua N. Adkins, Gabriele Varani, David Baker
Science  15 Dec 2017:
Vol. 358, Issue 6369, pp. 1461-1466
DOI: 10.1126/science.aap7577

Towards understanding feedback from supermassive black holes using convolutional neural networks
Stanislav Fort
arXiv:1712.00523

Variational Encoding of Complex Dynamics
Carlos X. Hernández, Hannah K. Wayment-Steele, Mohammad M. Sultan, Brooke E. Husic, Vijay S. Pande
arXiv:1711.08576v2

Numerical evidence of fluctuating stripes in the normal state of high-Tc cuprate superconductors
Edwin W. Huang, Christian B. Mendl, Shenxiu Liu, Steve Johnston, Hong-Chen Jiang, Brian Moritz, Thomas P. Devereaux
Science  01 Dec 2017: Vol. 358, Issue 6367, pp. 1161-1164
DOI: 10.1126/science.aak9546

Comparing Fully General Relativistic and Newtonian Calculations of Structure Formation
William E. East, Radosław Wojtak, Tom Abel
(Submitted on 17 Nov 2017) https://arxiv.org/abs/1711.06681

Structural sensitivity in HIV modeling: A case study of vaccination
Cora L. Bernard Margaret L. Brandeau
Infectious Disease Modelling, Volume 2, Issue 4, November 2017, Pages 399-411
https://doi.org/10.1016/j.idm.2017.08.002

Photoactivated Molecular Layer Deposition through Iodo−Ene Coupling Chemistry
Mie Lillethorup , David S. Bergsman , Tania E. Sandoval , and Stacey F. Bent
Chem. Mater., 2017, 29 (23), pp 9897–9906
DOI: 10.1021/acs.chemmater.7b01780 Publication Date (Web): November 12, 2017

Timeslice experiments for understanding regional climate projections: applications to the tropical hydrological cycle and European winter circulation
Chadwick, R., Douville, H. & Skinner, C.B.
Clim Dyn (2017) 49: 3011.
https://doi.org/10.1007/s00382-016-3488-6

Gene-expression profiling of single cells from archival tissue with laser-capture microdissection and Smart-3SEQ
Joseph W Foley, Chunfang Zhu, Philippe Jolivet, Shirley X Zhu, Peipei Lu, Michael J Meaney, Robert B West
doi: https://doi.org/10.1101/207340

Ultrafast Intersystem Crossing in Acetylacetone via Femtosecond X-ray Transient Absorption at the Carbon K-Edge
Aditi Bhattacherjee, Chaitanya Das Pemmaraju, Kirsten Schnorr, Andrew R. Attar, and Stephen R. Leone
J. Am. Chem. Soc., 2017, 139 (46), pp 16576–16583
DOI: 10.1021/jacs.7b07532

Simulated Dynamics of Glycans on Ligand-Binding Domain of NMDA Receptors Reveals Strong Dynamic Coupling between Glycans and Protein Core
Anton V. Sinitskiy and Vijay S. Pande
J. Chem. Theory Comput.,DOI: 10.1021/acs.jctc.7b00817  October 11, 2017

The DECam Plane Survey: Optical photometry of two billion objects in the southern Galactic plane
E. F. Schlafly, G. M. Green, D. Lang, T. Daylan, D. P. Finkbeiner, A. Lee, A. M. Meisner, D. Schlegel, F. Valdes
(Submitted on 3 Oct 2017) arXiv:1710.01309

MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites
Oscar Esteban, Daniel Birman, Marie Schaer, Oluwasanmi O. Koyejo, Russell A. Poldrack, Krzysztof J. Gorgolewski
PLOS Published: September 25, 2017 https://doi.org/10.1371/journal.pone.0184661

Proton Network Flexibility Enables Robustness and Large Electric Fields in the Ketosteroid Isomerase Active Site
Lu Wang, Stephen D. Fried, and Thomas E. Markland
J. Phys. Chem. B, 2017, 121 (42), pp 9807–9815
DOI: 10.1021/acs.jpcb.7b06985 Publication Date (Web): September 15, 2017

Stripe order from the perspective of the Hubbard model
Edwin W. Huang, Christian B. Mendl, Hong-Chen Jiang, Brian Moritz, Thomas P. Devereaux
Submitted on 7 Sep 2017, arXiv:1709.02398

Bioimpedance and new onset heart failure: A longitudinal study of ~500,000 individuals from the general population
Daniel Lindholm, Eri Fukaya, Nicholas J. Leeper, Erik Ingelsson
doi: https://doi.org/10.1101/183483

Transfer Learning from Markov Models Leads to Efficient Sampling of Related Systems
Mohammad M. Sultan and Vijay S. Pande
J. Phys. Chem. B, Article ASAP
DOI: 10.1021/acs.jpcb.7b06896

Impact of Hydrogen Bonding on the Dynamics and Structure of Protic Ionic Liquid/Water Binary Mixtures
Heather E. Bailey, Yong-Lei Wang , and Michael D. Fayer
J. Phys. Chem. B, 2017, 121 (36), pp 8564–8576
DOI: 10.1021/acs.jpcb.7b06376

Decoding the spectroscopic features and timescales of aqueous proton defects
Joseph A. Napoli, Ondrej Marsalek, and Thomas E. Markland
arXiv:1709.05740

Kinetic Machine Learning Unravels Ligand-Directed Conformational Change of μ Opioid Receptor
Evan N. Feinberg, Amir Barati Farimani, Carlos Xavier Hernandez, Vijay S. Pande
doi: https://doi.org/10.1101/170886

Fast automated analysis of strong gravitational lenses with convolutional neural networks
Yashar D. Hezaveh, Laurence Perreault Levasseur & Philip J. Marshall
Nature 548, 555–557 (31 August 2017) doi:10.1038/nature23463

Analytical gradients for tensor hyper-contracted MP2 and SOS-MP2 on graphical processing units
Chenchen Song and Todd J. Martínez
The Journal of Chemical Physics 147, 161723 (2017); https://doi.org/10.1063/1.4997997

Mechanochemical unzipping of insulating polyladderene to semiconducting polyacetylene
Zhixing Chen, Jaron A. M. Mercer, Xiaolei Zhu, Joseph A. H. Romaniuk, Raphael Pfattner, Lynette Cegelski, Todd J. Martinez, Noah Z. Burns, Yan Xia,
Science  04 Aug 2017:Vol. 357, Issue 6350, pp. 475-479
DOI: 10.1126/science.aan2797

Ab Initio Simulations of a Supernova-driven Galactic Dynamo in an Isolated Disk Galaxy
Iryna Butsky, Jonathan Zrake, Ji-hoon Kim, Hung-I Yang, and Tom Abel
The Astrophysical Journal, Volume 843, Number 2, Published 2017 July 12

Is Multitask Deep Learning Practical for Pharma?
Bharath Ramsundar, Bowen Liu, Zhenqin Wu, Andreas Verras, Matthew Tudor, Robert P. Sheridan, and Vijay Pande
J. Chem. Inf. Model., 2017, 57 (8), pp 2068–2076
DOI: 10.1021/acs.jcim.7b00146 Publication Date (Web): July 10, 2017

2016

Au–Ge MEAM potential fitted to the binary phase diagram
Yanming Wang, Adriano Santana and Wei Cai
Published 23 December 2016 Modelling and Simulation in Materials Science and Engineering, Volume 25, Number 2

Atomic orbital-based SOS-MP2 with tensor hypercontraction. I. GPU-based tensor construction and exploiting sparsity
Chenchen Song and Todd J. Martínez
The Journal of Chemical Physics 144, 174111 (2016); doi: http://dx.doi.org/10.1063/1.4948438

Massively Parallel Computation of Accurate Densities for N-body Dark Matter Simulations using the Phase-Space-Element Method
Ralf Kaehler

Communication: A difference density picture for the self-consistent field ansatz
Robert M. Parrish, Fang Liu and Todd J. Martínez
The Journal of Chemical Physics 144, 131101 (2016); doi: http://dx.doi.org/10.1063/1.4945277

Electronic pair binding and Hund's rule violations in doped C60
Hong-Chen Jiang and Steven Kivelson
Phys. Rev. B 93, 165406 – Published 5 April 2016

Eco-evolutionary buffering: rapid evolution facilitates regional coexistence of species engaged in local priority effects
Meike J. Wittmann, Tadashi Fukami
doi: https://doi.org/10.1101/040659

Freely decaying turbulence in force-free electrodynamics
Jonathan Zrake, William E. East
Published 2016 January 22

2015

Spontaneous Decay of Periodic Magnetostatic Equilibria
William E. East, Jonathan Zrake, Yajie Yuan, and Roger D. Blandford
Phys. Rev. Lett. 115, 095002 – Published 28 August 2015