Publications related to Scientific modelling

Comparison of regression techniques for generating surrogate models to predict the thermodynamic behavior of biomass gasification systems

François Maréchal, Daniel Alexander Florez Orrego, Meire Ellen Gorete Ribeiro Domingos, Julia Granacher

Biomass resources can play an important role in the energy transition, being a dynamic feedstock that can be transformed either into solid, liquid or gaseous fuels. Biomass gasification is a versatile way to convert waste into energy. In this work, the mod ...

2023

Comparison of regression techniques for generating surrogate models to predict the thermodynamic behavior of biomass gasification systems

François Maréchal, Daniel Alexander Florez Orrego, Meire Ellen Gorete Ribeiro Domingos, Julia Granacher

Biomass resources can play an important role in the energy transition, being a dynamic feedstock that can be transformed either into solid, liquid or gaseous fuels. The biomass gasification is a versatile way to convert wastes into energy. In this work, th ...

Elsevier2023

Surrogate modelling for seismic collapse risk assessment of steel moment resisting frames

Dimitrios Lignos, Andronikos Skiadopoulos, Nenad Bijelic

With the overall goal of reducing the numerical burden of uncertainty quantification involved in seismic risk assessments, this paper examines opportunities for assessment of seismic collapse capacity and risk using data-driven surrogates as a complement t ...

2023

Networks with correlated edge processes

Sofia Charlotta Olhede, Mária Süveges

This article proposes methods to model non-stationary temporal graph processes motivated by a hospital interaction data set. This corresponds to modelling the observation of edge variables indicating interactions between pairs of nodes exhibiting dependenc ...

OXFORD UNIV PRESS2023

Let's move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human vision

Martin Schrimpf, Matthias Bethge

In the target article, Bowers et al. dispute deep artificial neural network (ANN) models as the currently leading models of human vision without producing alternatives. They eschew the use of public benchmarking platforms to compare vision models with the ...

Cambridge2023

Emergent U(1) symmetry in non-particle-conserving one-dimensional models

Frédéric Mila, Natalia Chepiga, Loïc Jean Pierre Herviou, Mohamed Zakaria Jouini

The properties of stable Luttinger liquid phases in models with a nonconserved number of particles are investigated. We study the Luttinger liquid phases in one-dimensional models of hard-core boson and spinless fermion chains where particles can be create ...

College Pk2023

Parametric Reduced Order Model of a Gas Bearings Supported Rotor

Fabio Nobile, Jürg Alexander Schiffmann, Dimitri Maurice Goutaudier

Gas bearings use pressurized gas as a lubricant to support and guide rotating machinery. These bearings have a number of advantages over traditional lubricated bearings, including higher efficiency in a variety of applications and reduced maintenance requi ...

2023

Mining Effective Strategies for Climate Change Communication

Matthias Grossglauser, Aswin Suresh, Yurui Zhu, Lazar Milikic

With the goal of understanding effective strategies to communicate about climate change, we build interpretable models to rank tweets related to climate change with respect to the engagement they generate. Our models are based on the Bradley-Terry model of ...

2023

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Scientific modelling

Comparison of regression techniques for generating surrogate models to predict the thermodynamic behavior of biomass gasification systems

Comparison of regression techniques for generating surrogate models to predict the thermodynamic behavior of biomass gasification systems

Surrogate modelling for seismic collapse risk assessment of steel moment resisting frames

Networks with correlated edge processes

Let's move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human vision

Emergent U(1) symmetry in non-particle-conserving one-dimensional models

Stochastic Models for Comparison-based Search

Parametric Reduced Order Model of a Gas Bearings Supported Rotor

Mining Effective Strategies for Climate Change Communication

Framing the News: From Human Perception to Large Language Model Inferences

Graph Chatbot

Chat with Graph Search

Comparison of regression techniques for generating surrogate models to predict the thermodynamic behavior of biomass gasification systems

Surrogate modelling for seismic collapse risk assessment of steel moment resisting frames

Stochastic Models for Comparison-based Search

Comparison of regression techniques for generating surrogate models to predict the thermodynamic behavior of biomass gasification systems

Emergent U(1) symmetry in non-particle-conserving one-dimensional models

Framing the News: From Human Perception to Large Language Model Inferences

Mining Effective Strategies for Climate Change Communication

Let's move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human vision

Networks with correlated edge processes

Parametric Reduced Order Model of a Gas Bearings Supported Rotor