Modeling complex physical dynamics is a fundamental task in science and engineering.
Traditional physics-based models are first-principled, explainable, and sample-efficient …

The formulation of rheological constitutive equations—models that relate internal stresses
and deformations in complex fluids—is a critical step in the engineering of systems involving …

Complex astrophysical systems often exhibit low-scatter relations between observable
properties (eg, luminosity, velocity dispersion, oscillation period). These scaling relations …

Data-driven modeling of spatiotemporal physical processes with general deep learning
methods is a highly challenging task. It is further exacerbated by the limited availability of …

Background Building biological networks with a certain function is a challenge in systems
biology. For the functionality of small (less than ten nodes) biological networks, most …

Radiation‐induced photocurrent in semiconductor devices can be simulated using complex
physics‐based models, which are accurate, but computationally expensive. This presents a …

In 5th–6th July 2017 (J17), an unusual train of rainfalls induced a concentration of
precipitations in Northern Kyūshū, Japan, reaching 516 mm for 24 h in Asakura City, a first in …