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July Publications

August 1, 2022

Soil mercury? Early-universe energy injection? Large scale parallel sparse matrix streaming graph/network analysis? This month’s selection of publications featuring research using the MGHPCC.

Dibya Ghosh, Anurag Ajay, Pulkit Agrawal, Sergey Levine (2022), Offline RL Policies Should be Trained to be Adaptive, arXiv: 2207.02200 [cs.LG] 

Yaqian He, Jonathan Chipman, Noel Siegert & Justin S. Mankin​ (2022), Rapid Land-Cover and Land-Use Change in the Indo-Malaysian Region over the Last Thirty-Four Years Based on AVHRR NDVI Data, Annals of the American Association of Geographers, doi: 10.1080/24694452.2022.2077168​

Paul A.​ ​Homuth​, ​James​ ​McNeely​, ​Linda H.​ ​Doerrer​ (2022), ​Extra-long Csingle bondC single bonds via negative hyperconjugation in perfluoropinacolate complexes, Polyhedron, doi: 10.1016/j.poly.2022.116040

Rajibul Islam et al (2022), Switchable large-gap quantum spin Hall state in two-dimensional MSi2Z4 materials class​, arXiv: 2207.08407 [cond-mat.mes-hall]

Jeremy Kepner (2022), Keynote Talk: Large Scale Parallel Sparse Matrix Streaming Graph/Network Analysis, SPAA ’22: Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures, July 2022, doi: 10.1145/3490148.3538597

Jianing Liu, Hao Wang, Leonard C. Kogos, Yuyu Li, Yunzhe Li, Lei Tian, and Roberto Paiella (2022), Optical spatial filtering with plasmonic directional image sensors, Optics Express, doi: 10.1364/OE.460556

Sean McGrath et al (2022), Standard error estimation in meta analysis of studies reporting medians, arXiv: 2206.14386 [stat.ME]

Lauren Milechin, Julia Mullen, Chris Hill (2022), Building Experience and Confidence in HPC Practitioners through the Project-Based, Hands-On Practical HPC Course, PEARC ’22: Practice and Experience in Advanced Research Computing, Boston, MA, USA, July 2022, doi: 10.1145/3491418.3535140

Michael Murphy, Stefanie Jegelka, Ernest Fraenkel (2022), Self-supervised learning of cell type specificity from immunohistochemical images, Bioinformatics, doi: 10.1093/bioinformatics/btac263

Connor I Olson et al (2022), Mercury in soils of the conterminous United States: patterns and pools, Environmental Research Letters, doi: 10.1088/1748-9326/ac79c2

Zeke A. Piskulich and Qiang Cui (2022), Machine Learning-Assisted Phase Transition Temperatures from Generalized Replica Exchange Simulations of Dry Martini Lipid Bilayers, J. Phys. Chem. Lett., doi: 10.1021/acs.jpclett.2c01654

R. C. Shannon, J. Zhao, Z. Li and J. Benner (2022), Sensitivity Study of Mini-Batch Size on a Long Short-Term Memory Network for Predicting Shell-to core Ratio of Microencapsulated Phase Change Materials, 2022 IEEE International Conference on Prognostics and Health Management (ICPHM), doi: 10.1109/ICPHM53196.2022.9815640

Spiekermann, K., Pattanaik, L. & Green​​, W.H. ​(2022), ​High accuracy barrier heights, enthalpies, and rate coefficients for chemical reactions, ​Nature, doi: 10.1038/s41597-022-01529-6

Yitian Sun​ ​and Tracy R. Slatyer​ (2022), Modeling early-universe energy injection with Dense Neural Networks, arXiv: 2207.06425 [hep-ph]

Alicia Y. Volmar (2022), Mechanisms of isoform-specific residue influence on GTP-bound HRas, KRas, and NRas, Biophysical Journal, doi: 10.1016/j.bpj.2022.07.005

Wang, Andrew​ (​2022​),​ Evaluating the normal approximation in econometric models​,​ Bachelor’s​ ​thesis, Harvard College​

​Dali Wang et al (2022), Targeting oncogenic KRAS with molecular brush-conjugated antisense oligonucleotides, PNAS, doi: 10.1073/pnas.2113180119

Oliver Xie and Bradley D. Olsen (2022), A Self-Consistent Field Theory Formalism for Sequence-Defined Polymers, Macromolecules, doi: 10.1021/acs.macromol.2c00721

Ruiqi Zhang et al (2022), Fingerprints of nematicity and competing orders in the infinite-layer nickelate, arXiv: 2207.00814 [cond-mat.str-el] 

Do you have news about research using computing resources at the MGHPCC? If you have an interesting project that you want to tell people about or a paper you would like listed, contact 

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MGHPCC Publications

Research projects

A Future of Unmanned Aerial Vehicles
Yale Budget Lab
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
The Rhode Island Coastal Hazards Analysis, Modeling, and Prediction System
Towards a Whole Brain Cellular Atlas
Tornado Path Detection
The Kempner Institute – Unlocking Intelligence
The Institute for Experiential AI
Taming the Energy Appetite of AI Models
Surface Behavior
Studying Highly Efficient Biological Solar Energy Systems
Software for Unreliable Quantum Computers
Simulating Large Biomolecular Assemblies
SEQer – Sequence Evaluation in Realtime
Revolutionizing Materials Design with Computational Modeling
Remote Sensing of Earth Systems
QuEra at the MGHPCC
Quantum Computing in Renewable Energy Development
Pulling Back the Quantum Curtain on ‘Weyl Fermions’
New Insights on Binary Black Holes
NeuraChip
Network Attached FPGAs in the OCT
Monte Carlo eXtreme (MCX) – a Physically-Accurate Photon Simulator
Modeling Hydrogels and Elastomers
Modeling Breast Cancer Spread
Measuring Neutrino Mass
Investigating Mantle Flow Through Analyses of Earthquake Wave Propagation
Impact of Marine Heatwaves on Coral Diversity
IceCube: Hunting Neutrinos
Genome Forecasting
Global Consequences of Warming-Induced Arctic River Changes
Fuzzing the Linux Kernel
Exact Gravitational Lensing by Rotating Black Holes
Evolution of Viral Infectious Disease
Evaluating Health Benefits of Stricter US Air Quality Standards
Ephemeral Stream Water Contributions to US Drainage Networks
Energy Transport and Ultrafast Spectroscopy Lab
Electron Heating in Kinetic-Alfvén-Wave Turbulence
Discovering Evolution’s Master Switches
Dexterous Robotic Hands
Developing Advanced Materials for a Sustainable Energy Future
Detecting Protein Concentrations in Assays
Denser Environments Cultivate Larger Galaxies
Deciphering Alzheimer’s Disease
Dancing Frog Genomes
Cyber-Physical Communication Network Security
Avoiding Smash Hits
Analyzing the Gut Microbiome
Adaptive Deep Learning Systems Towards Edge Intelligence
Accelerating Rendering Power
ACAS X: A Family of Next-Generation Collision Avoidance Systems
Neurocognition at the Wu Tsai Institute, Yale
Computational Modeling of Biological Systems
Computational Molecular Ecology
Social Capital and Economic Mobility
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Outreach & Education Projects

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