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October Publications

November 9, 2022

Strain-induced diode action? Urban tree canopy cover management? Magnetic domain states in tetrataenite? This month's selection of publications featuring research using the MGHPCC.

Gaurav Arya et al (2022), Automatic Differentiation of Programs with Discrete Randomness, arXiv: 2210.08572 [cs.LG] 

Mark Baum and Minmin Fu (2022), Simple Stochastic Modeling of Snowball Probability Throughout Earth History, Geochemistry, Geophysics, Geosystems, doi: 10.1029/2022GC010611

BICEP/ Keck Collaboration (2022), BICEP / Keck XVI: Characterizing Dust Polarization Through Correlations with Neutral Hydrogen, arXiv: 2210.05684 [astro-ph.GA] 

Bodhi Biswas et al (2022), Spectral broadening from turbulence in multiscale lower hybrid current drive simulations, arXiv:2210.02344 

Allen Chang et al (2022), Removing Radio Frequency Interference from Auroral Kilometric Radiation with Stacked Autoencoders, arXiv: 2210.12931 [astro-ph.IM] 

Zhuofa Chen et al (2022), Charge Separation in Monolayer WSe2 by Strain Engineering: Implications for Strain-Induced Diode Action, ACS Appl. Nano Mater., doi: 10.1021/acsanm.2c03264

Xiang Fu et al (2022), Forces Are Not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations, arXiv: 2210.07237 [physics.comp-ph] 

Asem Hassan and Paul C. Whitford (2022), Identifying Strategies to Experimentally Probe Multidimensional Dynamics in the Ribosome, J. Phys. Chem. B, doi: 10.1021/acs.jpcb.2c05706

Marc Werrett Healy (2022), Trees in the City: Spatiotemporal Dynamics, Benefits, and Management of Urban Tree Canopy Cover in Massachusetts Gateway Cities, Doctoral dissertation Clark University, Proquest: 29326753 

Johnny Ho, David W. Schmitz (2022), A method for computing hadron–nucleus cross sections in fully active sampling calorimetric targets, arXiv: 2209.14712 [physics.ins-det] 

Arman Guerra et al (2022), Self-Ordering of Buckling, Bending, Bumping Beams, arXiv:2210.11324 [cond-mat.soft] 

Vindula Jayawardana et al (2022), The Impact of Task Underspecification in Evaluating Deep reinforcement Learning, arXiv: 2210.08607 [cs.LG] 

Iksung Kang et al (2022), Simultaneous spectral recovery and CMOS micro-LED holography with an untrained deep neural network, Optica, doi: 10.1364/OPTICA.470712

Veenavee Nipunika Kothalawala et al (2022), First Principles Calculations of the Optical Response of LiNiO2, Condensed matter, doi: 10.3390/condmat7040054

Isaac C. Liao et al (2022), Learning to Optimize Quasi-Newton Methods, arXiv: 2210.06171 [cs.LG] 

Elias N. Mansbach (2022), Size Ranges of Magnetic Domain States in Tetrataenite, Geochemistry, Geophysics, Geosystems, doi: 10.1029/2022GC010631

Mulligan, J.R. et al (2022), Quantifying the Relationship Between Microstructure and Performance in Gadolinium-Doped Ceria Infiltrated Ni/YSZ Symmetric Cells, The Journal of The Minerals, Metals & Materials Society, doi: 10.1007/s11837-022-05534-3

James Owens et al (2022), Can vehicle-to-grid facilitate the transition to low carbon energy systems? Energy Advances, doi: 10.1039/D2YA00204C

Jung Yeon Park and Lawson L.S. Wong (2022), Robust Imitation of a Few Demonstrations with a Backwards Model, arXiv: 2210.09337 [cs.LG] 

Tirthak Patel et al (2022), What does Inter-Cluster Job Submission and Execution Behavior Reveal to Us? 2022 IEEE International Conference on Cluster Computing (CLUSTER), doi: 10.1109/CLUSTER51413.2022.00019

Adarsh S. Patri and T. Senthil (2022), Strong correlations in ABC-stacked trilayer graphene: Moir´e is important, arXiv: 2210.08025 [cond-mat.str-el]

Nikolaos Patsalidis et al (2022), Understanding the Interaction between Polybutadiene and Alumina via Density Functional Theory Calculations and Machine-Learned Atomistic Simulations, J. Phys. Chem. C, doi: 10.1021/acs.jpcc.2c03630

Albert Reuther et al (2022), AI and ML Accelerator Survey and Trends, arXiv: 2210.04055 [cs.AR] 

F Sciortino et al (2022), Investigation of core impurity transport in DIII-D diverted negative triangularity plasmas, Plasma Phys. Control Fusion, doi: 10.1088/1361-6587/ac94f6

Tim Seyde et al (2022), Solving Continuous Control via Q-Learning, arXiv: 2210.12566 [cs.LG] 

Vinith M. Suriyakumar, Ashia C. Wilson (2022), Algorithms that Approximate Data Removal: New Results and Limitations, arXiv: 2209.12269 [stat.ML] 

Patrick van Zalm et al (2022), A Parallelization Strategy for the Time Efficient Analysis of Thousands of LC/MS Runs in High-Performance Computing Environment, J. Proteome Res., doi: 10.1021/acs.jproteome.2c00278

Yang Wang et al (2022), Precise Steric Features Control Aminoacyl-tRNA Accommodation on the Ribosome, J. Phys. Chem. B, doi: 10.1021/acs.jpcb.2c05513

Daniel C. Wilson et al (2022), Site-wide HPC Data Center Demand Response, HPEC22 conference

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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