Unpredictability, Uncertainty and Fractal Structures in Physics
In Physics, we have laws that determine the time evolution of a given physical system, depending on its parameters and its initial conditions. When we have multi-stable systems, many attractors coexist so that their basins of attraction might possess ...
Miguel A. F. Sanjuan
doaj
1T‐to‐2H Phase Evolution During Epitaxial Growth of Transition Metal Dichalcogenides
During MOCVD growth of MoS2 and WSe2, a transient metallic 1T phase emerges in early, edge‐rich, chalcogen‐deficient domains and declines as the films ultimately coalesce as 2H material. Together, experiments and ReaxFF simulations link domain size, edge stoichiometry, and vacancies to this evolution.
Andrew R. Graves +8 more
wiley +1 more source
Potentials and limits to basin stability estimation
Stability assessment methods for dynamical systems have recently been complemented by basin stability and derived measures, i.e. probabilistic statements whether systems remain in a basin of attraction given a distribution of perturbations.
Paul Schultz +3 more
doaj +1 more source
Asymmetry in Skipping Enhances Viability Against Control Input Noise
Quadruped animals use asymmetric galloping gaits at high speeds, yet the functional role of this asymmetry remains unclear. This study shows that left–right asymmetry in touchdown angles enhances robustness to control noise. Using a simple two‐legged locomotion model and viability theory, it demonstrates that asymmetric skipping substantially enlarges ...
Yuichi Ambe, Alvin So, Shinya Aoi
wiley +1 more source
Basins of attraction for family of Popovski’s methods and their extension to multiple roots
In this paper we revisit Popovski’s family of methods for simple roots. We compare several members using basins of attraction visually and qualitatively by comparing the run-time on several examples, the average number of iterations and the number of ...
Beny Neta
doaj +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Paleomagnetic and geochronologic constraints on the Miocene evolution of semi-isolated basins in southeastern Europe [PDF]
This thesis addresses the Miocene evolution of the Central Paratethys and neighboring Dinaride Mountains. The Central Paratethys was a vast epicontinental sea covering most of central and southeastern Europe during the Oligo-Miocene.
de Leeuw, J.H.W.M. +2 more
core
Asset price dynamics in a financial market with fundamentalists and chartists
In this paper we consider a model of the dynamics of speculative markets involving the interaction of fundamentalists and chartists. The dynamics of the model are driven by a two-dimensional map that in the space of the parameters displays regions of ...
Carl Chairella +2 more
doaj +1 more source
Exploring the free energy landscape: from dynamics to networks and back. [PDF]
Knowledge of the Free Energy Landscape topology is the essential key to understanding many biochemical processes. The determination of the conformers of a protein and their basins of attraction takes a central role for studying molecular isomerization ...
Diego Prada-Gracia +3 more
doaj +1 more source
Analytical Prediction of Critical Transitions in Oscillator Networks With Non‐Local Links
An analytical framework reveals how global coupling, second‐harmonic strength, noise, and network structure govern oscillator‐based Ising dynamics. Spectral reduction predicts stability boundaries, while Fokker–Planck analysis captures one‐ to two‐cluster transitions and identifies conditions favoring low‐energy configurations.
Qiang Li +5 more
wiley +1 more source

