Computational science

Computational science

Computational science, also known as scientific computing, is a special area that uses computers to help solve really complicated problems in science. It is different from regular computer science because it focuses on using computers to understand things like physics, biology, and even social studies. Scientists use special ways, called algorithms, to create models and simulations that show how different systems work.

This field needs strong computer hardware and good software to handle big jobs. It also relies on networks and data management to keep everything running smoothly. Instead of just doing experiments in a lab, scientists use computers to run models and see what happens in many different situations.

Computational science is very important because it helps us study problems that are too big or too complex to solve with just theory or experiments. By using computers, scientists can make predictions, test ideas, and learn more about the world in new ways.

The computational scientist

A computational scientist is someone who uses computers to help solve big problems in science. They are usually scientists, engineers, or mathematicians who use powerful computers to make new discoveries.

Computational science is now seen as a third way to do science, along with experiments and theories. It helps us understand complex systems by using computer programs to simulate how they work. A computational scientist needs to:

• Spot hard problems
• Understand the system with these problems
• Create computer programs to study the system
• Choose the right computers and tools to run these programs
• Check if the results match the real system
• Adjust the simulation if needed and repeat until the results are good enough

This field focuses on creating smart ways to solve problems using computers, writing programs to run these solutions, and making sure the results are correct.

Applications of computational science

Computational science helps us understand and solve tough problems in many areas. It uses computer programs to make predictions about things like how machines will break or how money moves in markets.

In finance, computers help us understand risks in trading by solving complex math problems. In biology, computers help scientists make sense of huge amounts of data from experiments, helping us learn about how living things grow and change.

Computational science and engineering use computer simulations to study real-world problems, like how buildings stand up or how weather patterns form. These simulations let scientists explore areas that are hard to study in labs or too expensive to test in real life.

Methods and algorithms

Computational science uses many different ways and tools to solve hard problems. Scientists use special computer languages like Fortran, Python, and MATLAB to make programs. These programs help us understand nature, weather, and more. They can show what happens in real life, like how air moves around a plane or how stars move in space.

These programs work by breaking big problems into smaller pieces. They might use many computers together to solve a problem faster. This helps scientists study things that are hard to handle. For example, weather programs might look at small parts of land to guess what the weather will be like in the future.

Conferences and journals

In 2001, the International Conference on Computational Science (ICCS) started and happens every year.

The Journal of Computational Science began in May 2010. Another journal, the Journal of Open Research Software, started in 2012. In 2015, the ReScience C began on GitHub to help repeat important computer studies.

Education

Some universities let students study computational science along with other subjects. Many places now have special degrees just for this field, like bachelor's, master's, and doctoral programs.

For example, the University of Amsterdam and the Vrije Universiteit started a master’s program in 2004. In this program, students learn to make models from real-life data, turn them into computer programs, study complex systems, and look at results with special math tools.

Other schools like ETH Zurich and the University of Michigan also have degrees in this area. These help students solve scientific problems using computer methods.