Numerical simulations in physics often require estimating a multitude of parameters, making the process computationally ...

Constraint satisfaction problems (CSPs) provide a versatile framework for modelling complex decision-making tasks where a collection of variables must be allocated values that satisfy specific ...

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 ...

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 ...

There are problems that are in practice beyond the capabilities of even the most powerful versions of today’s computers imaginable. These successes could be taken to indicate that computation has no ...

For years, quantum computers have carried a bold promise. They could solve problems so complex that even the world’s best ...

We are clearly on the verge of a revolution in medicine—one in which the sequence of As, Ts, Gs, and Cs is as much a part of a patient’s phenotypic profile as are the sounds of the heart or were the ...

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 ...