Economic agent-based models (ABMs) are becoming more and more data-driven, establishing themselves as increasingly valuable tools for economic research and …
Disentangling irreversible and reversible forces from random fluctuations is a challenging problem in the analysis of stochastic trajectories measured from real-world dynamical …
Z Lin, Z Lu, Z Di, Y Tang - Nature Communications, 2024 - nature.com
Noise is usually regarded as adversarial to extracting effective dynamics from time series, such that conventional approaches usually aim at learning dynamics by mitigating the noisy …
Statistical physics aims to study how the microscopic properties and interactions of a large number of entities can be related to their macroscopic behavior. Suppose we have a …
Optical tweezers have enabled the manipulation of micron-sized particles with great accuracy since their invention by Arthur Ashkin and colleagues in the 1980s. This technique …
The irradiation of crystalline materials in environments such as nuclear reactors leads to the accumulation of micro and nano-scale defects with a negative impact on material properties …
Z Liang, H Gao, J Zhang - 2024 - researchsquare.com
In the modern data economy, data has emerged as a valuable form of property, driving the growth of data marketplaces and elevating the importance of data valuation. While existing …