Weyl fermion interactions? US maise and soy yields? Rail passenger flow prediction? This month’s selection of publications featuring research using the MGHPCC.
Jingru Z. Benner et al. (2022), The effect of micro-encapsulation on thermal characteristics of metallic phase change materials, Applied Thermal Engineering, doi: 10.1016/j.applthermaleng.2022.118055
Trevor Y. Chang et al. (2022), A Green Chemistry Approach toward the Stereospecific Synthesis of Densely Functionalized Cyclopropanes via the Solid-State Photodenitrogenation of Crystalline 1-Pyrazolines, J. Org. Chemistry, doi: 10.1021/acs.joc.1c01808
Xi Chen et al. (2022), Dynamically preferred state with strong electronic fluctuations from electrochemical synthesis of sodium manganate, Matter, doi: 10.1016/j.matt.2021.12.012
Wei-Chi Chiu et al. (2022), Relativistic horizon of interacting Weyl fermions in condensed matter systems, arXiv: 2201.04757 [cond-mat.str-el]
Ethan David Coffel et al. (2022), Crop-climate feedbacks boost U.S. maize and soy yields, Environmental Research Letters, doi: 10.1088/1748-9326/ac4aa0
Conner, S.C., Beiser, A., Benjamin, E.J. et al. (2022), A comparison of statistical methods to predict the residual lifetime risk, Eur J Epidemiol, doi: 10.1007/s10654-021-00815-8
Feng Ding and Robin D. Wordsworth (2022), Prospects for Water Vapor Detection in the Atmospheres of Temperate and Arid Rocky Exoplanets around M-dwarf Stars, The Astrophysical Journal Letters, doi: 10.3847/2041-8213/ac4a5d
Rajibul Islam et al. (2022), Topological states in superlattices of HgTe-class materials for engineering three-dimensional flat bands, arXiv: 2112.15548 [cond-mat.mtrl-sci]
Jiang, W., Ma, Z. & Koutsopoulos, H.N. (2022), Deep learning for short-term origin–destination passenger flow prediction under partial observability in urban railway systems, Neural Comput & Applic, doi: 10.1007/s00521-021-06669-1
Plamen G. Krastev (2022), Translating Neutron Star Observations to Nuclear Symmetry Energy via Deep Neural Networks, Galaxies, doi: 10.3390/galaxies10010016
Stephanie L. Marshall and Ain A .Grooms (2022), Industry’s push for computer science education: Is computer science really for all? Policy Futures in Education, doi: 10.1177/14782103211045601
Bryan Ostdiek, Ana Diaz Rivero, and Cora Dvorkin (2022), Image segmentation for analyzing galaxy-galaxy strong lensing systems, Astronomy and Astrophysics, doi: 10.1051/0004-6361/202142030
Marku Nyevel R. Perez et al (2022), Quantum spin Hall insulating phase and van Hove singularities in Zintl single-quintuple-layer AM2X2 (A = Ca, Sr, or Ba; M = Zn or Cd; X = Sb or Bi) family, Applied Physics Reviews, doi: 10.1063/5.0071687
Andrew K. Saydjari and Douglas P. Finkbeiner (2022), Photometry on Structured Backgrounds: Local Pixelwise Infilling by Regression, arXiv:2201.07246 [astro-ph.IM]
M. Zink et al. (2021), The Open Cloud Testbed (OCT): A Platform for Research into new Cloud Technologies, 2021 IEEE 10th International Conference on Cloud Networking (CloudNet), 2021, pp. 140-147, doi: 10.1109/CloudNet53349.2021.9657109
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