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August Publications

September 2, 2021

Photoswitchable molecules? Oscillations in cosmic microwave background? Mechanical metamaterials?  Counterfactual mediation analysis? This month’s selection of publications featuring research using the MGHPCC.

Simon Axelrod, Eugene Shakhnovich, and Rafael Gómez-Bombarelli (2021), Excited state, non-adiabatic dynamics of large photoswitchable molecules using a chemically transferable machine learning potential, arXiv: 2108.04879 [physics.chem-ph]

BICEP/Keck Collaboration (2021), BICEP / Keck XIV: Improved constraints on axion-like polarization oscillations in the cosmic microwave background, arXiv:2108.03316 [astro-ph.CO]

Bodhi Biswas, Syun’ichi Shiraiwa, Seung-Gyou Baek, Paul Bonoli, Abhay Ram, and Anne White (2021), A hybrid full-wave Markov chain approach to calculating radio-frequency wave scattering from Scrape-off Layer filaments, arXiv:2108.07077 [physics.plasm-ph]

Matteo Braglia, Xingang Chen, and Dhiraj Kumar Hazra (2021), Primordial Standard Clock Models and CMB Residual Anomalies, arXiv: 2108.10110 [astro-ph.CO]

Mengxi Chen, Asanka Weerasinghe, Andre R. Muniz, Ashwin Ramasubramaniam, and Dimitrios Maroudas (2021), Molecular-Dynamics Simulations on Nanoindentation of Graphene-Diamond Composite Superstructures in Interlayer-Bonded Twisted Bilayer Graphene: Implications for Mechanical Metamaterials, Applied Nano Materials, doi: 10.1021/acsanm.1c02236

Xi Chen, Hao Tang, Yichao Wang, and Xin Li (2021), Balancing orbital effects and on-site Coulomb repulsion through Na modulations in NaxVO2, Physical Review Materials, doi: 10.1103/PhysRevMaterials.5.084402

Nathan T. Howard et al (2021), The role of ion and electron-scale turbulence in setting heat and particle transport in the DIII-D ITER Baseline Scenario, Nuclear Fusion, doi: 10.1088/1741-4326/ac1bc2

Theodore Huang, Matthew Ploenzke, Danielle Braun (2021), SNIP: An Adaptation of Sorted Neighborhood Methods for Deduplicating Pedigree Data, arXiv:2108.08773 [stat.AP]

Cheng-Wei Ju et al (2021), Stacked Ensemble Machine Learning for Range-Separation Parameters, ChemRxiv. Cambridge: Cambridge Open Engage

Li J, Stein R, Adrion D, Lopez S. (2021), Machine-learning photodynamics simulations uncover the role of substituent effects on the photochemical formation of cubanes, ChemRxiv. Cambridge: Cambridge Open Engage

David M. Long, Philip J. D. Crowley, and Anushya Chandran (2021), Many-Body Localization with Quasiperiodic Driving, arXiv: 2108.04834 [cond-mat.dis-nn]

Song Luo, Tongkun Wang, Jason Gulbinski, Long Qi, Geoffrey A. Tompsett, Michael T. Timko, Scott M. Auerbach, and Wei Fan (2021), Identifying Order and Disorder in Double Four-Membered Rings via Raman Spectroscopy during Crystallization of LTA Zeolite, Chemistry of Materials, doi: 10.1021/acs.chemmater.1c01420

Fatemah Mukadum et al (2021), Efficient discovery of visible light-activated azoarene photoswitches with long half-lives using active search, Theoretical and Computational Chemistry, doi: 10.33774/chemrxiv-2021-w32rs

Jack G. Nedell et al (2021), Deep learning of deformation-dependent conductance in thin films: nanobubbles in graphene, arXiv: 2108.01057 [cond-mat.mes-hall]

Seyed Ardalan Nejat et al (2021), Topology optimization of lightweight periodic lattices under stiffness and stability constraints, International Journal of Mechanical Sciences, doi: 10.1016/j.ijmecsci.2021.106727

F. Sciortino et al (2021), Experimental Inference of Neutral and Impurity Transport in Alcator C-Mod Using High-Resolution X-Ray and Ultra-Violet Spectra, arXiv: 21.07.1371 [physics.plasm-ph]

Victor V. Volkov, Hendrik Heinz and Carole C. Perry (2021), Anchoring of a hydrophobic heptapeptide (AFILPTG) on silica facilitates peptide unfolding at the abiotic–biotic interface, Physical Chemistry Chemical Physics, doi: 10.1039/d1cp02072b

Isabelle R. Weir, Jennifer R. Rider, Ludovic Trinquart (2021), Counterfactual mediation analysis in the multistate model framework for surrogate and clinical time-to-event outcomes in randomized controlled trials, Pharmaceutical Statistics, doi: 10.1002/pst.2159

Kunyan Zhang et al (2021), Spectroscopic Signatures of Interlayer Coupling in Janus MoSSe/MoS2 Heterostructures, arXiv: 2108.10995

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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