New theoretical physics research introduces a simulation method of machine-learning-based effective Hamiltonian for super-large-scale atomic structures. This effective Hamiltonian method could ...

A computational method for finding transition states in chemical reactions, greatly reducing computational costs with high reliability, has been devised. Compared to the most widely used existing ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

The Knowledge Triangle Route (KTR): one method for the three things every system needs - to store, to transmit, and to compute. DUBAI, AE / ACCESS Newswire / June 25, 2026 / An independent research ...

The team developed a computational framework using robotic path planning algorithms to rapidly identify optimal composition gradients between dissimilar materials. The framework enables the creation ...

Researchers have discovered two new superconductors using a machine learning-based screening method, demonstrating a ...

In October 2015 the National Academies of Sciences, Engineering, and Medicine convened a workshop of experts from diverse communities to examine predictive theoretical and computational approaches for ...

Computational Chemistry is the study of complex chemical problems using a combination of computer simulations, chemistry theory and information science. Also called cheminformatics, this field enables ...

Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...

The Knowledge Triangle Route (KTR): one method for the three things every system needs - to store, to transmit, and to compute. DUBAI, AE / ACCESS Newswire / June 25, 2026 / An independent research fr ...