26 papers · ranked by Valyu relevance
Authors not listed
High-precision dynamic simulations of hypersonic flows are crucial for hightemperature aerodynamics, particularly in addressing non-equilibrium effects in turbulent flows. The quasi-classical trajectory (QCT) method, based on microscopic molecular collisions, is a key approach to tackle this challenge. By generating…
Jenny Ma, Riya Sahni, Karthik Sreedhar, Lydia B. Chilton
Multi-agent large language model simulations have the potential to model complex human behaviors and interactions. If the mechanics are set up properly, unanticipated and valuable social dynamics can surface. However, it is challenging to consistently enforce simulation mechanics while still allowing for notable and…
Jason S. Sherfey, Austin E. Soplata, Salva Ardid, Erik A. Roberts + 3 more
'David A. Stanley' 'Benjamin R. Pittman-Polletta' 'Nancy J. Kopell'] DynaSim is an open-source MATLAB/GNU Octave toolbox for rapid prototyping of neural models and batch simulation management. It is designed to speed up and simplify the process of generating, sharing, and exploring network models of neurons with one or…
Lukas Johannes Breitwieser
D E S I G N A N D A N A LY S I S O F A N E X T R E M E - S C A L E , H I G H - P E R F O R M A N C E , A N D M O D U L A R A G E N T - B A S E D S I M U L AT I O N P L AT F O R M
Lukas Breitwieser, Ahmad Hesam, Jean de Montigny, Vasileios Vavourakis + 9 more
Computer simulation is an indispensable tool for studying complex biological systems. In particular, agent-based modeling is an attractive method to describe biophysical dynamics. However, two barriers limit faster progress. First, simulators do not always take full advantage of parallel and heterogeneous hardware.…
Hassane Abouaïssa, Yoann Kubera, Gildąs Morvan
| 1 | Introduction | | 3 | | --- | --- | --- | --- | | | 1.1 Context | | 3 | | | 1.2 | Motivations | 3 | | 2 | SIMILAR | | 4 | | | 2.1 | Motivations | 4 | | | 2.2 | Related works | 4 | | | 2.3 | SIMILAR micro kernel | 5 | | | 2.4 SIMILAR architecture | | 6 | | | 2.5 | Simulation engine | 6 | | | 2.6 | Probes | 7 | | 3…
Geoffrey Fairchild, Kyle S. Hickmann, Susan M. Mniszewski, Sara Y. Del Valle + 1 more
'Sara Y. Del Valle' 'James M. Hyman'] Implementing realistic activity patterns for a population is crucial for modeling, for example, disease spread, supply and demand, and disaster response. Using the dynamic activity simulation engine, DASim, we generate schedules for a population that capture regular (e.g., working…
Authors not listed
Molecular dynamics simulations model chemical reactions as continuous changes in molecular structure over time in-stead of static minima and transition states. This perspective argues that time-dependent structural change is a crucial, but often overlooked, mechanistic feature as many reactions simply do not follow a…
Stewart Heitmann, Matthew Aburn, Michael Breakspear
The Brain Dynamics Toolbox provides a graphical tool for simulating user-defined dynamical systems in matlab. It supports three classes of differential equations commonly used in computational neuroscience: Ordinary Differential Equations, Delay Differential Equations and Stochastic Differential Equations. The design…
Parhizkar Tarannom, Mosleh Ali
Simulation-based or dynamic probabilistic risk assessment methodologies were primarily developed for proving a more realistic and complete representation of complex systems accident response. Such simulation-based methodologies have proven to be particularly powerful for systems with control loops and complex…
Michele Amoretti
Networks on-chip (NoCs) provide enhanced performance, scalability, modularity, and design productivity as compared with previous communication architectures for VLSI systems on-chip (SoCs), such as buses and dedicated signal wires. Since the NoC design space is very large and high dimensional, evaluation methodologies…
Zeyu Deng, Tara P. Mishra, Weihang Xie, Daanyal Ahmed Saeed + 2 more
Understanding ion transport in functional materials is crucial to unravel complex chemical reactions, improve rate per- formance of materials for energy storage and conversion, and optimize catalysts. To model ionic transport, atomistic simulations, including molecular dynamics (MD) and kinetic Monte Carlo (kMC) have…
Tiago Azevedo, Rosaldo J. F. Rossetti, Jorge G. Barbosa
—Nowadays, universities and companies have a huge need for simulation and modelling methodologies. In the particular case of traffic and transportation, making physical modifications to the real traffic networks could be highly expensive, dependent on political decisions and could be highly disruptive to the…
T J Sego, Pier Luigi Martelli
When launching a simulation service, SimService constructs and returns a proxy object that facilitates interaction with the interface implementation instance. Most importantly, any methods or properties defined on an interface implementation in addition to the SimService interface are detected and added with the same…
Pietro Cipresso
In case of fire in a building, how will people behave in the crowd? The behavior of each individual affects the behavior of others and, conversely, each one behaves considering the crowd as a whole and the individual others. In this article, I propose a three-step method to explore a brand new way to study behavior…
Johannes Nguyen, Simon T. Powers, Neil Urquhart, Thomas Farrenkopf + 1 more
'Michael Guckert'] Individual traffic significantly contributes to climate change and environmental degradation. Therefore, innovation in sustainable mobility is gaining importance as it helps to reduce environmental pollution. However, effects of new ideas in mobility are difficult to estimate in advance and strongly…
Christopher Versteeg, Jonathan D. McCart, Mitchell Ostrow, David M. Zoltowski + 7 more
A primary goal of systems neuroscience is to discover how ensembles of neurons transform inputs into goal-directed behavior, a process known as neural computation. A powerful framework for understanding neural computation uses neural dynamics – the rules that describe the temporal evolution of neural activity – to…
Oliver Lomp, Mathis Richter, Stephan K. U. Zibner, Gregor Schöner
Embodied artificial cognitive systems, such as autonomous robots or intelligent observers, connect cognitive processes to sensory and effector systems in real time. Prime candidates for such embodied intelligence are neurally inspired architectures. While components such as forward neural networks are well established…
Somayeh Dodge, Mert Toka, Crystal J. Bae
Background This paper introduces DynamoVis version 1.0, an open-source software developed to design, record and export custom animations and multivariate visualizations from movement data, enabling visual exploration and communication of patterns capturing the associations between animals’ movement and its affecting…
Evangelos Katsamakas
The simulation hypothesis suggests that we live in a computer simulation. That notion has attracted significant scholarly and popular interest. This article explores the simulation hypothesis from a business perspective. Due to the lack of a name for a universe consistent with the simulation hypothesis, we propose the…
Alejandro A. Franco, Emilie Loup-Escande, Goran Loiseaux, Jean-Noël Chotard + 5 more
We present two digital-based serious games aiming to engage students and the general public with battery sciences. The first one is a multiscale simulator in Mixed Reality of a battery-powered Electric Vehicle (EV) interacting with an Electrical Grid. One of the players drives the EV in a Virtual Reality (VR)…
Robin Gutzen, Grace W Lindsay
Convolutional Neural Networks (CNNs) have demonstrated remarkable success in image recognition and exhibit conceptual similarities to the primate ventral visual pathway. Adding recurrence opens the door to exploring temporal dynamics and investigating mechanisms underlying recognition robustness, attentional…
Dániel Czégel, Hamza Giaffar, Márton Csillag, Bálint Futó + 1 more
Efficient search in enormous combinatorial spaces is an essential component of intelligence. Humans, for instance, are often found searching for optimal action sequences, linguistic structures and causal explanations. Is there any computational domain that provides good-enough and fast-enough solutions to such a…
Authors not listed
Deriving versatile and robust mechanistic models from experimental data is a key challenge in engineering and natural sciences. This is especially true in chemical reaction engineering, where reactor manufacturers and operators increasingly pursue the development and maintenance of digital twins that rely on frequent…
Jane Kondev, Marc Kirschner, Hernan G. Garcia, Gabriel L. Salmon + 1 more
Many biological processes can be thought of as the result of an underlying dynamics in which the system repeatedly undergoes distinct and abortive trajectories with the dynamical process only ending when some specific process, purpose, structure or function is achieved. A classic example is the way in which…
Zhimian Hao, Chonghuan Zhang, Alexei Lapkin
We propose a workflow for reduction in the time required for data generation during generation of statistical digital twins. This methodology is particularly relevant for real-world engineering problems when data generation is expensive. A prerequisite for building surrogates is sufficient input/output data, whereas…