Japan's glaciologists have studied snow composition for nearly a century, and have recently developed methods such as a ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

As power grids add more renewable energy and large-scale battery storage, utilities face a growing challenge: how to ...

As global tensions rise and military rhetoric escalates, experts have examined what would happen if modern nuclear weapons ...

Estimating things that exist is generally easy, but when it comes to estimating things that do not exist, it’s more difficult. This is something physicists from Poland and the UK are well aware of. To ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

Changes in rainfall within global monsoon regions affect the livelihoods of billions. For years, climate models have ...

Systems biology modeling is entering a new phase. For decades, computational models—ODE and PDE systems, stochastic simulations, constraint-based networks, ...

Design engineers can use AI-driven simulation to overcome bottlenecks and accelerate materials discovery with hybrid workflow ...

Zacharie Jehl Li-Kao, a researcher in the Department of Electronic Engineering at the Polytechnic University of Catalonia (UPC), has developed Soley, an open-access simulation software designed to ...