Publications related to Large atoms and quantum dots

On the use of Cramér-Rao Lower Bound for least-variance circuit parameters identification of Li-ion cells

Electrochemical Impedance Spectroscopy (EIS) and Equivalent Circuit Models (ECMs) are widely used to characterize the impedance and estimate parameters of electrochemical systems such as batteries. We use a generic ECM with ten parameters grouped to model ...

2024

The challenges of quasi-static and fatigue experiments of structural adhesives

Anastasios Vassilopoulos, Valentin Perruchoud

This paper presents the results of an experimental campaign designed specifically to investigate unexpected and unwanted failures observed during the quasi-static and fatigue tensile loading of structural adhesives. Simple finite element models were also d ...

ELSEVIER SCI LTD2022

Introducing Vehicle Dynamic Models in Dynamic Networks for Navigation in UAVs

Kenneth Joseph Paul

Estimation of the trajectory is a fundamental problem in robotics. Introduction of additional measurements in a robotic platform reduces the uncertainty in the trajectory estimate. The limitations on the power and payload in a UAV platform advocates for th ...

2019

Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons

Henry Markram, Sean Lewis Hill, Werner Alfons Hilda Van Geit, Ying Shi, Christian O'Reilly, Christian Andreas Rössert, Elisabetta Iavarone, Bas-Jan Zandt, Jane Yi

Somatosensory thalamocortical (TC) neurons from the ventrobasal (VB) thalamus are central components in the flow of sensory information between the periphery and the cerebral cortex, and participate in the dynamic regulation of thalamocortical states inclu ...

2019

A sequence-dependent coarse-grain model of B-DNA with explicit description of bases and phosphate groups parametrised from large scale Molecular Dynamics simulations

Alessandro Samuele Patelli

We introduce a sequence-dependent coarse-grain model of double-stranded DNA with an explicit description of both the bases and the phosphate groups as interacting rigid-bodies. The model parameters are trained on extensive, state-of-the-art large scale mol ...

EPFL2019

Exploring Data Partitions for What-if Analysis

Quoc Viet Hung Nguyen, Thành Tâm Nguyên

What-if analysis is a data-intensive exploration to inspect how changes in a set of input parameters of a model influence some outcomes. It is motivated by a user trying to understand the sensitivity of a model to a certain parameter in order to reach a se ...

2018

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

Jan Skaloud, Stéphane Guerrier, Philipp Clausen

The proliferation of (low-cost) sensors provokes new challenges in data fusion. This is related to the correctness of stochastic characterization that is a prerequisite for optimal estimation of parameters from redundant observations. Different (statistica ...

2017

Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

Sohrab Mirshams Shahshahani

We construct a one parameter family of nite time blow ups to the co-rotational wave maps problem from

S^2\times R

to

S^2

parameterized by

\nu \epsilon (\frac{1}{2},1]

. The longitudinal function

u(t,\alpha)

which is the main object of study will be ...

2016

RENORMALIZATION AND BLOW-UP FOR WAVE MAPS FROM S-2 x R TO S-2

Sohrab Mirshams Shahshahani

We construct a one parameter family of finite time blow-ups to the co-rotational wave maps problem from S-2 x R to S-2, parameterized by nu is an element of (1/2, 1]. The longitudinal function u(t, alpha) which is the main object of study will be obtained ...

American Mathematical Society2016

What population reveals about individual cell identity: Single-cell parameter estimation of models of gene expression in yeast

Giancarlo Ferrari Trecate

Significant cell-to-cell heterogeneity is ubiquitously observed in isogenic cell populations. Consequently, parameters of models of intracellular processes, usually fitted to population-averaged data, should rather be fitted to individual cells to obtain a ...

2016

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On the use of Cramér-Rao Lower Bound for least-variance circuit parameters identification of Li-ion cells

The challenges of quasi-static and fatigue experiments of structural adhesives

Introducing Vehicle Dynamic Models in Dynamic Networks for Navigation in UAVs

Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons

A sequence-dependent coarse-grain model of B-DNA with explicit description of bases and phosphate groups parametrised from large scale Molecular Dynamics simulations

Exploring Data Partitions for What-if Analysis

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

RENORMALIZATION AND BLOW-UP FOR WAVE MAPS FROM S-2 x R TO S-2

What population reveals about individual cell identity: Single-cell parameter estimation of models of gene expression in yeast

The challenges of quasi-static and fatigue experiments of structural adhesives

Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons

On the use of Cramér-Rao Lower Bound for least-variance circuit parameters identification of Li-ion cells

RENORMALIZATION AND BLOW-UP FOR WAVE MAPS FROM S-2 x R TO S-2

Exploring Data Partitions for What-if Analysis

Introducing Vehicle Dynamic Models in Dynamic Networks for Navigation in UAVs

Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

A sequence-dependent coarse-grain model of B-DNA with explicit description of bases and phosphate groups parametrised from large scale Molecular Dynamics simulations

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

What population reveals about individual cell identity: Single-cell parameter estimation of models of gene expression in yeast