output
20112026
most citedDifferentiable modeling to unify machine learning and physical models and advance Geosciences

466 citations

Showing 2021Show all

10 papers · 1 filter

q-bio.QM2021★ 51 cited

Predicting Chemical Hazard across Taxa through Machine Learning

Jimeng Wu, Simone D'Ambrosi, Lorenz Ammann +3

We applied machine learning methods to predict chemical hazards focusing on fish acute toxicity across taxa. We analyzed the relevance of taxonomy and experimental setup, showing t…

cs.CV2021★ 2 cited

Deep Learning Classification of Lake Zooplankton

S. P. Kyathanahally, T. Hardeman, E. Merz +5

Plankton are effective indicators of environmental change and ecosystem health in freshwater habitats, but collection of plankton data using manual microscopic methods is extremely…

math.CT2021★ 4 cited

Limits and Colimits in a Category of Lenses

Emma Chollet, Bryce Clarke, Michael Johnson +3

Lenses are an important tool in applied category theory. While individual lenses have been widely used in applications, many of the mathematical properties of the corresponding cat…

q-bio.PE2021★ 49 cited

Underwater dual-magnification imaging for automated lake plankton monitoring

E. Merz, T. Kozakiewicz, M. Reyes +10

We present an approach for automated in-situ monitoring of phytoplankton and zooplankton communities based on a dual magnification dark-field imaging microscope/camera. We describe…

physics.flu-dyn2021★ 5 cited

Sharp transition to strongly anomalous transport in unsaturated porous media

Andrés Velásquez-Parra, Tomás Aquino, Matthias Willmann +3

The simultaneous presence of liquid and gas in porous media increases flow heterogeneity compared to saturated flows. However, so far the impact of saturation on flow statistics an…

cond-mat.soft2021★ 13 cited

Revisiting the Concept of Activation in Supercooled Liquids

Marco Baity-Jesi, Giulio Biroli, David R. Reichman

In this work we revisit the description of dynamics based on the concepts of metabasins and activation in mildly supercooled liquids via the analysis of the dynamics of a paradigma…

physics.flu-dyn2021★ 54 cited

BASEMENT v3: a modular freeware for river process modelling over multiple computational backends

Davide Vanzo, Samuel Peter, Lukas Vonwiller +5

Modelling river physical processes is of critical importance for flood protection, river management and restoration of riverine environments. Developments in algorithms and computa…

physics.flu-dyn2021★ 15 cited

Phases saturation control on mixing driven reactions in 3D porous media

Ishaan Markale, Gabriele M. Cimmarusti, Melanie M. Britton +1

Transported chemical reactions in unsaturated porous media are relevant across a range of environmental and industrial applications. Continuum scale dispersive models are often bas…

physics.flu-dyn2021★ 11 cited

Transition from shear-dominated to Rayleigh-Taylor turbulence

Stefano Brizzolara, Jean-Paul Mollicone, Maarten van Reeuwijk +2

Turbulent mixing layers in nature are often characterized by the presence of a mean shear and an unstable buoyancy gradient between two streams of different velocity. Depending on…

cond-mat.dis-nn2021★ 15 cited

Spin-glass dynamics in the presence of a magnetic field: exploration of microscopic properties

I. Paga, Q. Zhai, M. Baity-Jesi +24

The synergy between experiment, theory, and simulations enables a microscopic analysis of spin-glass dynamics in a magnetic field in the vicinity of and below the spin-glass transi…