Publications associées à Simulations and games in economics education

Theoretical analysis of divalent cation effects on aptamer recognition of neurotransmitter targets

Nako Nakatsuka, Dmitry Momotenko, Annina Stuber

Aptamer-based sensing of small molecules such as dopamine and serotonin in the brain, requires characterization of the specific aptamer sequences in solutions mimicking the in vivo environment with physiological ionic concentrations. In particular, divalen ...

2023

Data-driven finite-thickness cohesive elements for frictional interfaces

Jean-François Molinari, Antonio Joaquin Garcia Suarez, Sacha Zenon Wattel, Yannick André Neypatraiky

Model-free data-driven computational mechanics (DDCM) [Kirchdoerfer & Ortiz, 2016] is a new paradigm for simulations in solid mechanics. As in the classical method, the boundary value problem is formulated with physics-based PDEs such as the balance of mom ...

2023

Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub

Felix Schürmann, Armando Romani, Michele Migliore, Luca Leonardo Bologna

To build biophysically detailed models of brain cells, circuits, and regions, a data-driven approach is increasingly being adopted. This helps to obtain a simulated activity that reproduces the experimentally recorded neural dynamics as faithfully as possi ...

2023

Mesh d-refinement An efficient data-driven computational framework

Jean-François Molinari, Antonio Joaquin Garcia Suarez, Sacha Zenon Wattel

Model-free data-driven computational mechanics (DDCM) is a new paradigm for simulations in solid mechanics. As in traditional approaches, the boundary-value problem is formulated with physics-based PDEs, such as the balance of momentum and compatibility eq ...

2023

Preserving the positivity of the deformation gradient determinant in intergrid interpolation by combining RBFs and SVD: Application to cardiac electromechanics

Alfio Quarteroni, Francesco Regazzoni

The accurate, robust and efficient transfer of the deformation gradient tensor between meshes of different resolution is crucial in cardiac electromechanics simulations. This paper presents a novel method that combines rescaled localized Radial Basis Funct ...

Lausanne2023

Electronic Structure of InAs and InSb Surfaces: Density Functional Theory and Angle-Resolved Photoemission Spectroscopy

Gabriel Aeppli, Vladimir N. Strocov

The electronic structure of surfaces plays a key role in the properties of quantum devices. However, surfaces are also the most challenging to simulate and engineer. Here, the electronic structure of InAs(001), InAs(111), and InSb(110) surfaces is studied ...

WILEY2022

Uncertainty estimation for molecular dynamics and sampling

Michele Ceriotti, Federico Grasselli, Yongbin Zhuang, Venkat Kapil, Kevin Rossi, Edgar Albert Engel, Giulio Imbalzano

Machine-learning models have emerged as a very effective strategy to sidestep time-consuming electronic-structure calculations, enabling accurate simulations of greater size, time scale, and complexity. Given the interpolative nature of these models, the r ...

2021

Underwater soft robot modeling and control with differentiable simulation

Josephine Anna Eleanor Hughes

Underwater soft robots are challenging to model and control because of their high degrees of freedom and their intricate coupling with water. In this letter, we present a method that leverages the recent development in differentiable simulation coupled wit ...

Institute of Electrical and Electronics Engineers Inc.2021

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Simulations and games in economics education

Theoretical analysis of divalent cation effects on aptamer recognition of neurotransmitter targets

Data-driven finite-thickness cohesive elements for frictional interfaces

Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub

Mesh d-refinement An efficient data-driven computational framework

Preserving the positivity of the deformation gradient determinant in intergrid interpolation by combining RBFs and SVD: Application to cardiac electromechanics

Electronic Structure of InAs and InSb Surfaces: Density Functional Theory and Angle-Resolved Photoemission Spectroscopy

Uncertainty estimation for molecular dynamics and sampling

Underwater soft robot modeling and control with differentiable simulation

Optimal DSO grid control for energy communities with high PV penetration and electrochemical storage

Motivating Innovation: The Effect of Loss Aversion on the Willingness to Persist

Graph Chatbot

Chattez avec Graph Search

Data-driven finite-thickness cohesive elements for frictional interfaces

Uncertainty estimation for molecular dynamics and sampling

Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub

Electronic Structure of InAs and InSb Surfaces: Density Functional Theory and Angle-Resolved Photoemission Spectroscopy

Underwater soft robot modeling and control with differentiable simulation

Optimal DSO grid control for energy communities with high PV penetration and electrochemical storage

Mesh d-refinement An efficient data-driven computational framework

Theoretical analysis of divalent cation effects on aptamer recognition of neurotransmitter targets

Preserving the positivity of the deformation gradient determinant in intergrid interpolation by combining RBFs and SVD: Application to cardiac electromechanics

Motivating Innovation: The Effect of Loss Aversion on the Willingness to Persist