Physics is a field of science that has traditionally used the scientific method to answer
questions about why natural phenomena occur and to make testable models that explain the …

The past five years have seen a dramatic increase in the usage of artificial intelligence (AI)
algorithms in pure mathematics and theoretical sciences. This might appear counter-intuitive …

The metal-support interaction is one of the most important pillars in heterogeneous catalysis,
but develo** a fundamental theory has been challenging because of the intricate …

The discovery of scientific formulae that parsimoniously explain natural phenomena and
align with existing background theory is a key goal in science. Historically, scientists have …

Deep generative modeling has a strong potential to accelerate drug design. However,
existing generative models often face challenges in generalization due to limited data …

Origin-destination (OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …

Discovering mathematical models that characterize the observed behavior of dynamical
systems remains a major challenge, especially for systems in a chaotic regime, due to their …

Automation transformed various aspects of our human civilization, revolutionizing industries
and streamlining processes. In the domain of scientific inquiry, automated approaches …

Discovering mathematical equations that govern physical and biological systems from
observed data is a fundamental challenge in scientific research. We present a new physics …

Conspectus Finding catalytic materials with optimal properties for sustainable chemical and
energy transformations is one of the pressing challenges facing our society today …