When Metal Nanoclusters Meet Smart Synthesis

Z Yang, A Shi, R Zhang, Z Ji, J Li, J Lyu, J Qian… - ACS …, 2024 - ACS Publications
Atomically precise metal nanoclusters (MNCs) represent a fascinating class of ultrasmall
nanoparticles with molecule-like properties, bridging conventional metal–ligand complexes …

Data-driven economic agent-based models

M Pangallo, RM del Rio-Chanona - arXiv preprint arXiv:2412.16591, 2024 - arxiv.org
Economic agent-based models (ABMs) are becoming more and more data-driven,
establishing themselves as increasingly valuable tools for economic research and …

Decomposing force fields as flows on graphs reconstructed from stochastic trajectories

R Nartallo-Kaluarachchi, P Expert, D Beers… - arXiv preprint arXiv …, 2024 - arxiv.org
Disentangling irreversible and reversible forces from random fluctuations is a challenging
problem in the analysis of stochastic trajectories measured from real-world dynamical …

Learning noise-induced transitions by multi-scaling reservoir computing

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 …

[PDF][PDF] Revealing nonequilibrium phenomena and slow dynamics in many-body systems through machine learning

C Casert - 2023 - biblio.ugent.be
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 …

Advanced methods for the calibration of optical tweezers

L Pérez García - 2023 - gupea.ub.gu.se
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 …

Characterizing Structure of High Entropy Alloys (HEAs) Using Machine Learning

C Reimer - 2023 - ruor.uottawa.ca
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 …

Towards Efficient, Fair and Interpretable Neural Dynamic Data Valuation

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 …