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May 2024 Publications

May 6, 2024

Infant gut-associated bifidobacteria? Galaxy intrinsic alignment correlations? The phylogeny of the tea family? A selection of recent publications featuring research using the MGHPCC.

Abbott, Ryan et al (2024), Multiscale Normalizing Flows for Gauge Theories, arXiv: 2404.10819 [hep-lat] 

Abbott, Ryan et al (2024), Practical applications of machine-learned flows on gauge fields, arXiv: 2404.11674 [hep-lat] 

Hilliard, M.A. and D. A. Sela (2024), Transmission and Persistence of Infant Gut-Associated Bifidobacteria, Microorganisms, doi: 10.3390/microorganisms12050879

Howard, N.T. et al (2024), Prediction of Performance and Turbulence in ITER Burning Plasmas via Nonlinear Gyrokinetic Profile Prediction, arXiv: 2404.17040 [physics.plasm-ph] 

Jeon, Geunwoong et al (2024), Shape equilibria of vesicles with rigid planar inclusions, arXiv: 2404.09355 [cond-mat.soft] 

Kothalawala, Veenavee Nipunika et al (2024), Determining effects of doping lithium nickel oxide with tungsten using Compton scattering, APL Energy, doi: 10.1063/5.0193527

Pandya, Sneh et al (2024), Learning Galaxy Intrinsic Alignment Correlations, arXiv: 2404.13702 [astro-ph.CO]  

Strader, Marie. E. et al (2024), Intersection of coral molecular responses to a localized mortality event and ex situ deoxygenation, Ecology and Evolution, doi: 10.1002/ece3.11275 

Rynkiewicz, Michael J. et al (2024), Myosin’s powerstroke transitions define atomic scale movement of cardiac thin filament tropomyosin, Journal of General Physiology, doi: 10.1085/jgp.202413538 

Seyde, Tim et al (2024), Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution, arXiv: 2404.04253 [cs.LG]  

Yan, Yujing et al (2024), A new nuclear phylogeny of the tea family (Theaceae) unravels rapid radiations in genus Camellia, Molecular Phylogenetics and Evolution, doi: 10.1016/j.ympev.2024.108089 

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YARD: A Curation Workflow Tool
AI That Speaks Human About Health
Revolutionizing Materials Design with Computational Modeling
Adaptive Deep Learning Systems Towards Edge Intelligence
Studying Highly Efficient Biological Solar Energy Systems
How Monkeys - and Machines - See in 3D
Computation + Machine Intelligence | Wu Tsai Institute
Quantum Computing in Renewable Energy Development
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