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A variational approach to the phase field modeling of brittle and ductile fracture
(2018)
The modeling of the post-critical behavior of materials is still a scientific challenge. This is especially true when dealing with materials that undergo complex behavior, in which several mechanisms are combined. This ...
VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis
(Universidad Torcuato Di Tella, 2023)
We present a data-driven generative framework for synthesizing blood vessel 3D geometry. This is a challenging task due to the
complexity of vascular systems, which are highly variating in shape, size,
and structure. ...
A variational model of fracture for tearing brittle thin sheets
(Pergamon-Elsevier Science Ltd, 2018-10)
Tearing of brittle thin elastic sheets, possibly adhered to a substrate, involves a rich interplay between nonlinear elasticity, geometry, adhesion, and fracture mechanics. In addition to its intrinsic and practical interest, ...
Do #ifdef-based Variation Points Realize Feature Model Constraints?
(ACM, 2015-11)
Two mechanisms widely used in the Software Product Lines (SPL) Engineering are the feature model and the conditional compilation. The former models the variability in the problem space and the latter realizes it in the ...
Geomagnetic Field Model Indicates Shrinking Northern Auroral Oval
(Blackwell Publishing Ltd, 2020-08)
Polar cap and auroral oval areas are presented for the period 1900‐2015 using a model of the magnetosphere and the IGRF‐12 model for the geomagnetic field. The effect of the main field long‐term changes is addressed ...
Relationship between protein thermodynamic constraints and variation of evolutionary rates among sites
(IOP Publishing, 2015-04)
Evolutionary-rate variation among sites within proteins depends on functional and biophysical properties that constrain protein evolution. It is generally accepted that proteins must be able to fold stably in order to ...
Combining reservoir computing and variational inference for efficient one-class learning on dynamical systems
(IEEE, 2017)
Usually, time series acquired from some measure-ment in a dynamical system are the main source of infor-mation about its internal structure and complex behavior. Inthis situation, trying ...