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March 2023 Publications

April 3, 2023

Variant-specific Mendelian Risk Prediction Models? Cosmology-informed neural networks? Biomimetic Amphiphilic Heteropolymers? This month’s selection of publications featuring research using the MGHPCC.

Alido, Jeffrey et al (2023), ​Robust single-shot 3D fluorescence imaging in scattering media with a simulator-trained neural network, arXiv: 2303.12573 [eess.SP] 

Bae, Eunchan et al (2023), Variant-specific Mendelian Risk Prediction Model, bioRxiv, doi: 10.1101/2023.03.06.531363

​Bornet, ​Guillaume ​et al (2023), ​Scalable spin squeezing in a dipolar Rydberg atom array​, arXiv: 2303.08053 [quant-ph] ​

Chantada, Augusto T. et al (2023), Cosmology-informed neural networks to solve the background dynamics of the Universe, Physical Review D, doi: 10.1103/PhysRevD.107.063523

Cohen, Ofer et al (2023), Three-dimensional, Time-dependent MHD Simulation of Disk-Magnetosphere-Stellar Wind​ ​Interaction in a T Tauri, Protoplanetary System​, arXiv:2303.13238 [astro-ph.SR]

Edelman, Alan and John Urschel (2023), Some New Results on the Maximum Growth Factor in Gaussian Elimination, arXiv: 2303.04892 [math.NA] 

Hackney, Nicholas W. et al (2023), Dispersed, condensed and self-limiting states of geometrically frustrated assembly, arXiv: 2303.02121 [cond-mat.soft] 

Hong, C. et al (2023), Anomalous intense coherent secondary photoemission from a perovskite oxide, Nature, doi: 10.1038/s41586-023-05900-4

Hung, Yi-Chun et al (2023), Time-Reversal Soliton Pair In Higher-Order Topological Insulators With Cs=2, arXiv: 2303.04031 [cond-mat.mes-hall]

Jin, Tianyi et al (2023), Adsorption of Biomimetic Amphiphilic Heteropolymers onto Graphene and Its Derivatives, Macromolecules, doi: 10.1021/acs.macromol.2c02413

Kim, Dennis S. et al (2023), Validation of machine-learned interatomic potentials via temperature-dependent electron thermal diffuse scattering, arXiv: 2303.02519 [cond-mat.mtrl-sci]  

Kubiak, Sarah et al (2023), TTV Constraints on Additional Planets in the WD 1856+534 system, arXiv: 2303.06157 [astro-ph.EP] 

Levi, A. et al (2023), A High-pressure Filled Ice in the H2O–CO2–CH4 System, with Possible Consequences for the CO2–CH4 Biosignature Pair, ApJ, doi: 10.3847/1538-4357/acb49a

Nevin, R. et al (2023), A declining major merger fraction with redshift in the local Universe from the largest-yet catalog of major and minor mergers in SDSS, arXiv: 2303.06249 [astro-ph.GA] 

Markiewicz, R.S. and A. Bansil (2023), Mott-Slater Transition in a Textured Cuprate Antiferromagnet, arXiv: 2303.11254 [cond-mat.supr-com] 

​Mazumder, Rahul and Haoyue Wang (2023), ​A Cyclic Coordinate Descent Method for Convex Optimization on Polytopes, arXiv: 2303.07642 [math.OC] 

Mostafa, Afnan et al (2023), Thermal conductivity of 2D diamond superstructures in interlayer-bonded twisted bilayer graphene, Applied Physics Letters, doi: 10.1063/5.0140769

Pal, Avik et al (2023), Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed! arXiv: 2303.02262 [cs.LG]   

Prasad, Ishan et al (2023), Tracing chirality from molecular organization to triply-periodic network assemblies: Threading biaxial twist through block copolymer gyroids, arXiv: 2303.07059 [cond-mat.soft] 

Subramanian, Akshay et al (2023), Automated patent extraction powers generative modeling in focused chemical spaces, arXiv: 2303.08272 [physics.chem-ph] 

Yao, Xiaohan et al (2023), Large Topological Hall Effect and Spiral Magnetic Order in the Weyl Semimetal SmAlSi, Physical Review X, doi: 10.1103/PhysRevX.13.011035

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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