Article
Computer Science, Artificial Intelligence
Weiming Wu, Jingtao Hu, Fukai Zhang, Cong Wang
Summary: Rapid dynamical pattern recognition based on the deterministic learning method (DLM-based RDPR) aims to rapidly recognize the most similar dynamical pattern pair from perspectives of differences in inherent system dynamics. This article focuses on providing a rigorous theoretical analysis of the minimal recognition error (MRE) principle in DLM-based RDPR under the sampled-data framework. The proposed conditions distinguish themselves from existing works in that they provide both sufficient and necessary conditions for determining the most similar pattern pair based on the MRE principle.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Interdisciplinary Applications
Ting Ye, Baocai Jing, Dingyi Pan
Summary: We develop a bottom-up coarse graining framework called intelligent dissipative particle dynamics (IDPD) that uses machine learning to construct mesoscopic force fields directly from microscopic dynamics. By training a deep neural network with full atomic data, IDPD can generate both conservative and non-conservative force fields in the mesoscopic system while preserving natural symmetries. The validity and applicability of IDPD are demonstrated through coarse graining star polymer and methane fluids, showing its ability to reproduce static and dynamic properties of the underlying full molecular dynamics (MD) system.
JOURNAL OF COMPUTATIONAL PHYSICS
(2023)
Article
Physics, Fluids & Plasmas
Mareike Bojer, Stephan Kremser, Ulrich Gerland
Summary: This research explores enhancing boundary formation processes by combining global morphogen gradient signals with local signaling between neighboring cells in the presence of noise. Three mechanisms were analyzed, with the SUM rule mechanism producing the most accurate boundaries compared to the other two mechanisms.
Article
Mechanics
Jie Qi, Zheng Liang Yu, Guo Peng Liao, Zheng Yuan Luo, Bo Feng Bai
Summary: Nanoparticle surfactants formed by interactions between nanoparticles and complementary polymers have been proposed as excellent stabilizers for liquid droplets in substance encapsulation and delivery applications. This study found that adding carboxylated nanoparticles to the dispersed phase and amino-terminated polymers to the continuous phases significantly reduces droplet size while increasing production rate. The combined effect of nanoparticles and polymers is greater than the sum of their individual effects due to the reduction of oil-water interfacial tension by nanoparticle surfactants.
Article
Biochemical Research Methods
Jair Andrade, Jim Duggan
Summary: The effective reproduction number (R-t) is an important indicator for evaluating the development of infectious diseases. This paper proposes three complementary mathematical models to estimate R-t based on data from the first wave of COVID-19 in Ireland.
PLOS COMPUTATIONAL BIOLOGY
(2022)
Article
Physics, Multidisciplinary
Orestes Tumbarell Aranda, Andre L. A. Penna, Fernando A. Oliveira
Summary: This work establishes a deterministic equation for a generalized nonlocal population dynamics that relies on two length parameters (alpha, beta) and associates these parameters with reproduction, competition, and pattern formation in bacterial dynamics. The proposed stochastic cellular automaton is formulated based on the states defined by each set of parameters, aiming to describe the evolutionary dynamics of a bacterial colony. The evolution of the colony towards a maximum population allowed in a given niche determines the final pattern, selecting for bacteria more capable of sharing space.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Chemistry, Analytical
Xin Zhang, Xianghui Shi, Yong Pan, Juncheng Jiang
Summary: This study investigates the pyrolysis behavior of tert-butyl hydroperoxide (TBHP) through molecular dynamics simulations. The main pyrolysis products and reaction pathways are identified, and a detailed reaction mechanism is proposed. The calculated apparent activation energy agrees reasonably with experimental results. This research provides scientific guidance for the process safety of organic peroxides and the development of suppression technologies.
JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS
(2022)
Article
Computer Science, Artificial Intelligence
Shigen Gao, Chaoan Xu, Hang Zhang, Ning Zhao, Tuo Shen, Hairong Dong
Summary: This article presents a novel artificial intelligence-based control paradigm for virtually-coupled trains, using a deterministic reinforcement learning approach. The control system achieves steady formation separation among multiple trains and switches between reinforcement learning and deterministic reinforcement learning using a performance index monitor.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Information Systems
K. A. Azuddin, A. K. Junoh, A. Zakaria, M. T. A. Rahman, N. M. I. M. Nor, H. Nishizaki, Z. Latiffah, N. F. Azuddin, M. Z. Abdullah, T. P. Terna
Summary: This paper proposes a machine learning approach using K-Means clustering and decision tree to process fungi spore images for creating a digital image database for deep learning purposes.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Engineering, Mechanical
Wenman Chen, Ji Quan, Xianjia Wang, Yang Liu
Summary: This paper examines a population affected by changing evolutionary environments with both payoff noise and demographic noise. Two types of changing environments are discussed, one with deterministic fluctuations and the other with stochastic fluctuations. The results show that a fluctuating environment with the two noises promotes cooperation, and a deterministic environment is better at promoting cooperation than a stochastic environment.
NONLINEAR DYNAMICS
(2023)
Article
Computer Science, Artificial Intelligence
Weiming Wu, Fukai Zhang, Cong Wang, Chengzhi Yuan
Summary: This paper proposes a novel similarity measure for dynamical patterns based on the concept of structural stability, and enhances recognition performance through approximation schemes and error comparison schemes. By introducing partial derivatives of dynamics to complement similarity measures, the recognition performance is significantly improved compared to existing methods.
Article
Materials Science, Multidisciplinary
Fang Yuan, Qiang Chen, Yuejun Zheng, Weipeng Wan, Liang Ding, Zhanshan Sun, Yunqi Fu
Summary: We report a deterministic approach to decouple the phase and amplitude of reflected waves based on a single-layer metasurface. This approach allows for the generation of 1-bit phase meta-atoms with a natural 180-degree phase difference and controllable amplitude. These phase meta-atoms have potential in wavefront manipulation and radar applications.
MATERIALS & DESIGN
(2023)
Article
Mathematics, Applied
Simone Fagioli, Emanuela Radici
Summary: The study proposes an ODE-based derivation for a generalized class of opinion formation models for single and multiple species, where the evolution of opinion is determined by the competition between opinion diffusion and compromise process. This deterministic approach allows to recover in the limit an aggregation/nonlinear diffusion system of PDEs for the macroscopic opinion densities.
KINETIC AND RELATED MODELS
(2021)
Review
Physics, Multidisciplinary
Dmitri V. Alexandrov, Irina A. Bashkirtseva, Michel Crucifix, Lev B. Ryashko
Summary: Glacial-interglacial cycles are global climatic changes that have occurred over the past 3 million years, and they are modeled using low-order dynamical systems and the Milankovitch theory. This study explores the effects of stochastic forcings on generating large-scale oscillations in these cycles, demonstrating how noise can lead to trajectories that differ from deterministic models.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
(2021)
Correction
Physics, Multidisciplinary
Alexander F. Schaffer, Levente Rozsa, Jamal Berakdar, Elena Y. Vedmedenko, Roland Wiesendanger
Summary: A correction to the paper has been published.
COMMUNICATIONS PHYSICS
(2021)
