Projections of the impacts of climate change on marine ecosystems are a key prerequisite
for the planning of adaptation strategies, yet they are inevitably associated with uncertainty …

Abstract Model calibration is crucial for optimizing the performance of complex computer
models across various disciplines. In the era of Industry 4.0, symbolizing rapid technological …

Heavy atomic nuclei have an excess of neutrons over protons, which leads to the formation
of a neutron skin whose thickness is sensitive to details of the nuclear force. This links …

The COVID-19 pandemic has created an urgent need for models that can project epidemic
trends, explore intervention scenarios, and estimate resource needs. Here we describe the …

Subjecting a physical system to extreme conditions is one of the means often used to obtain
a better understanding and deeper insight into its organization and structure. In the case of …

Initial COVID-19 containment in the United States focused on limiting mobility, including
school and workplace closures. However, these interventions have had enormous societal …

A good estimation of consumers' expected response to specific policy measures is of
paramount importance in the design of effective schemes for the adoption of new …

Many computer models possess high-dimensional input spaces and substantial
computational time to produce a single model evaluation. Although such models are often …

The estimation of parameters and model structure for informing infectious disease response
has become a focal point of the recent pandemic. However, it has also highlighted a …

The agent-based model is the principal scientific instrument of generative social science.
Typically, we design completed agents—fully endowed with rules and parameters—to grow …