Currently employed computational methods to simulate materials and their mechanical behavior are based on molecular dynamics (MD) with atomistic force-fields. These methods provide an excellent ...

Quantum computers promise to revolutionize our ability to solve problems thanks to their unique properties. However, a team of researchers has just discovered a computable task that appears impossible ...

Adiabatic quantum computing An example problem represented by an energy landscape. Each point on the landscape represents a candidate solution. The deepest valley represents the actual solution with ...

Since the 1990s, evidence has been growing that quantum computers should be able to solve a range of particularly complex computational problems, with applications in everything from supply chain ...

Computational storage is a simple and potentially profound storage development. The basic concept behind computational storage devices is they move data processing closer to stored data and, in doing ...

This chapter highlights some of the most prominent research challenges from theoretical/computational chemistry that appear to be amenable to attack with the help of ...

While improvements in computer hardware and high performance computing frameworks continue to provide computational speed increases, efficient mathematical algorithms and skillful coding are essential ...

SINGAPORE: Singapore's 15-year-olds ranked second globally in computational problem solving, a new Programme for International Student Assessment (PISA) domain that measures how students use ...

Our era is defined by a constant flow of information. Data from smartphones, wearables and environmental sensors, connected to sharing and analysis platforms, accompany us daily, creating a digital ...

Although much of its discovery process is descriptive and qualitative, chemistry is fundamentally a quantitative science. It serves a wide range of human needs, activities, and concerns. The ...