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