Estimates of the temperature flux-temperature gradient relation above a
  sea-floor
Characterization of atmospheric coherent structures and their impact on
  a utility-scale wind turbine
Nonlinear distributional geometry and general relativity Financial Series Prediction: Comparison Between Precision of Time Series
  Models and Machine Learning Methods Quantum Critical Dynamics of a Heisenberg-Ising Chain in a Longitudinal
  Field: Many-Body Strings versus Fractional Excitations Bures-Hall Ensemble: Spectral Densities and Average Entropies Proceedings Fifth Workshop on Developments in Computational
  Models--Computational Models From Nature Spatio-temporal linear instability analysis for arbitrary dispersion
  relations on the Lefschetz thimble in multidimensional spacetime Transfer Learning for Performance Modeling of Configurable Systems: An
  Exploratory Analysis Gibson Env: Real-World Perception for Embodied Agents Efficient First Order Methods for Linear Composite Regularizers Nitrate ions spikes in ice cores are not suitable proxies for solar
  proton events Symbolic computations in differential geometry Normalized Information Distance is Not Semicomputable The effects of environmental disturbances on tumor growth Visually Guided Self Supervised Learning of Speech Representations Inferring low-dimensional microstructure representations using
  convolutional neural networks Central limit theorem of Brownian motions in pinched negative curvature Weighted-residual methods for the solution of two-particle
  Lippmann-Schwinger equation without partial-wave decomposition A feasibility study for predicting optimal radiation therapy dose
  distributions of prostate cancer patients from patient anatomy using deep
  learning
physics.flu-dyn physics.ao-ph