A review on the distribution of relaxation times analysis: A powerful tool for process identification of electrochemical systems
Abstract The Distribution of Relaxation Times (DRT) analysis gained considerable attention
for its ability to reveal detailed information about complex electrochemical processes without …
for its ability to reveal detailed information about complex electrochemical processes without …
Reduced and all-at-once approaches for model calibration and discovery in computational solid mechanics
In the framework of solid mechanics, the task of deriving material parameters from
experimental data has recently re-emerged with the progress in full-field measurement …
experimental data has recently re-emerged with the progress in full-field measurement …
[HTML][HTML] Cognitive effort and active inference
This paper aims to integrate some key constructs in the cognitive neuroscience of cognitive
control and executive function by formalising the notion of cognitive (or mental) effort in …
control and executive function by formalising the notion of cognitive (or mental) effort in …
The deep-DRT: A deep neural network approach to deconvolve the distribution of relaxation times from multidimensional electrochemical impedance spectroscopy …
Electrochemical impedance spectroscopy (EIS) is an experimental technique ubiquitously
used to study electrochemical systems. However, conventional EIS data interpretation …
used to study electrochemical systems. However, conventional EIS data interpretation …
Deep bayesian inversion
Characterizing statistical properties of solutions of inverse problems is essential for decision
making. Bayesian inversion offers a tractable framework for this purpose, but current …
making. Bayesian inversion offers a tractable framework for this purpose, but current …
The probabilistic deconvolution of the distribution of relaxation times with finite Gaussian processes
Electrochemical impedance spectroscopy (EIS) is a tool widely used to study the properties
of electrochemical systems. The distribution of relaxation times (DRT) has emerged as one …
of electrochemical systems. The distribution of relaxation times (DRT) has emerged as one …
Cognitive control as a multivariate optimization problem
A hallmark of adaptation in humans and other animals is our ability to control how we think
and behave across different settings. Research has characterized the various forms …
and behave across different settings. Research has characterized the various forms …
Electrocardiographic imaging for atrial fibrillation: a perspective from computer models and animal experiments to clinical value
Electrocardiographic imaging (ECGI) is a technique to reconstruct non-invasively the
electrical activity on the heart surface from body-surface potential recordings and geometric …
electrical activity on the heart surface from body-surface potential recordings and geometric …
Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models
Most scientific machine learning (SciML) applications of neural networks involve hundreds
to thousands of parameters, and hence, uncertainty quantification for such models is …
to thousands of parameters, and hence, uncertainty quantification for such models is …
Computational methods for large-scale inverse problems: a survey on hybrid projection methods
This paper surveys an important class of methods that combine iterative projection methods
and variational regularization methods for large-scale inverse problems. Iterative methods …
and variational regularization methods for large-scale inverse problems. Iterative methods …