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Unraveling the complexities of brain function, which is crucial for advancing human health, remains a grand challenge. This endeavor demands precise monitoring of small molecules such as neurotransmitters, the chemical messengers in the brain. In this Pers ...
2024

Structure and dynamics of liquid water from ab initio simulations: adding Minnesota density functionals to Jacob's ladder

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The accurate representation of the structural and dynamical properties of water is essential for simulating the unique behavior of this ubiquitous solvent. Here we assess the current status of describing liquid water using ab initio molecular dynamics, wit ...
Cambridge2024

Multiscale biomolecular simulations in the exascale era

Ursula Röthlisberger, Simone Meloni

The complexity of biological systems and processes, spanning molecular to macroscopic scales, necessitates the use of multiscale simulations to get a comprehensive understanding. lar dynamics (MD) simulations are crucial for capturing processes beyond the ...
Current Biology Ltd2024

Additive Manufacturing of Bioinspired Mineral-Based Composites

Ran Zhao

Biominerals are used by natural organisms for example as structural supports and optical sensors. They are produced from a limited number of elements and under ambient conditions. Nevertheless, they often possess excellent mechanical properties and sometim ...
EPFL2024

Advancing first principle-based molecular dynamics of biological systems with machine learning

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Molecular dynamics (MD) simulations have emerged as a transformative approach to analyse molecular systems at the atomic level, offering valuable insights into complex biological processes. Many biological phenomena can only accurately be described by inco ...
EPFL2023

Modelling the coevolution of London's population and railway system

Gabriele Manoli, Sara Bonetti

As cities continue to expand it has become crucial to describe their evolution in time and space. Building on analogies with biological systems, we propose a minimalist reaction-diffusion model coupled with economic constraints and an adaptive transport ne ...
2023

Symbolic kinetic models in python (SKiMpy): intuitive modeling of large-scale biological kinetic models

Vassily Hatzimanikatis, Georgios Fengos, Maria Masid Barcon, Daniel Robert Weilandt, Zhaleh Hosseini, Pierre Guy Rémy Salvy

Motivation: Large-scale kinetic models are an invaluable tool to understand the dynamic and adaptive responses of biological systems. The development and application of these models have been limited by the availability of computational tools to build and ...
OXFORD UNIV PRESS2022

Robotic manipulation to investigate the physical principles of biological self-organization

Fazil Emre Uslu

Self-organization is the spontaneous formation of ordered patterns and networks from a population of comparatively simple elements or individuals with no prior information on neither the formation process nor the final organization. While the construction ...
EPFL2022

Morphological Sensitivity and Falling Behavior of Paper V-Shapes

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Behavioral diversity seen in biological systems is, at the most basic level, driven by interactions between physical materials and their environment. In this context we are interested in falling paper systems, specifically the V-shaped falling paper (VSFP) ...
MIT PRESS2022

Method and system for determining the intention of performing a voluntary action

Olaf Blanke, Bastien Orset

The invention relates to methods and systems for determining the intention of a subject to perform a voluntary action based on the analysis of the subject's respiratory phases and neuroelectrical signals. ...
2021

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