U.S. Naval Research Laboratory (NRL) scientists have published the Cascaded Variational Quantum Eigensolver (CVQE) algorithm in a recent Physical Review Research article. The algorithm is expected to ...

The ability to predict crystal structures is a key part of the design of new materials. New research shows that a mathematical algorithm can guarantee to predict the structure of any material just ...

Skoltech researchers have offered a solution to the problem of searching for materials with required properties among all possible combinations of chemical elements. These combinations are virtually ...

Solid-state inorganic materials are critical to the growth and development of electric vehicle, cell phone, laptop battery and solar energy technologies. However, finding the ideal materials with the ...

Researchers at LBNL have have developed a new algorithm that opens the door for real-time simulations in atomic-level materials research. When electronic states in materials are excited during dynamic ...

UK startup Phasecraft has developed an algorithm that brings the promise of quantum computers’ potential to reveal new materials and their properties much closer to realisation. Due to their ability ...

The intersection of evolutionary algorithms and data-driven optimisation is reshaping materials science by offering novel computational frameworks for designing and refining materials. Drawing ...

Researchers have devised a new machine learning algorithm that is efficient enough to run on a personal computer and predict the properties of more than 100,000 compounds in search of those most ...

Scientists published the Cascaded Variational Quantum Eigensolver (CVQE) algorithm in a recent article, expected to become a powerful tool to investigate the physical properties in electronic systems.