Computational Chemists study the structure and properties of molecules using computational methods. They develop and use computer models to simulate and predict the behavior of molecules in order to understand how they work and to design new molecules with desired properties.
Computational Chemists study the structure and properties of molecules using computational methods. They develop and use computer models to simulate and predict the behavior of molecules in order to understand how they work and to design new molecules with desired properties.
Computational Chemists use their knowledge of chemistry and physics to develop mathematical models that describe the behavior of molecules. These models can be used to simulate a wide range of chemical processes, such as the reactions of molecules with each other, the behavior of molecules in different environments, and the interactions between molecules and surfaces, including biological systems.
Computational Chemists are employed in a variety of industries, including the pharmaceutical, chemical, and materials science industries. In the pharmaceutical industry, Computational Chemists use their models to design new drugs that are more effective and have fewer side effects. In the chemical industry, Computational Chemists use their models to develop new materials that are stronger, lighter, and more durable. In the materials science industry, Computational Chemists use their models to study the properties of materials and to design new materials with desired properties.
Computational Chemists use a variety of tools and software to perform their work. These tools include:
Computational Chemists typically have a strong background in chemistry, physics, and mathematics. They also have experience with computer programming and data analysis.
Computational Chemists can advance their careers by taking on leadership roles in research and development, management, or consulting. They can also pursue further education, such as a PhD in Computational Chemistry or a related field.
The skills that Computational Chemists develop are transferable to a variety of other careers, including:
The day-to-day work of a Computational Chemist may include:
Computational Chemists face a number of challenges in their work, including:
Computational Chemists may work on a variety of projects, including:
Computational Chemists have the opportunity to make a significant impact on the world through their work. They can help to develop new drugs that save lives, design new materials that make our lives easier, and study the behavior of molecules in biological systems to better understand how our bodies work.
Successful Computational Chemists typically have the following personality traits and personal interests:
Students who are interested in pursuing a career in computational chemistry can complete a number of self-guided projects to better prepare themselves for this role. These projects include:
Online courses can be a great way to learn about computational chemistry. These courses can provide students with the skills and knowledge they need to pursue a career in this field. Online courses typically include lecture videos, projects, assignments, quizzes, exams, discussions, and interactive labs. These resources can help students to learn about the concepts of computational chemistry and to apply these concepts to real-world problems.
Computational chemistry is a rapidly growing field that offers a wide range of career opportunities. Computational Chemists use their knowledge of chemistry, physics, and mathematics to develop computer models that simulate and predict the behavior of molecules. These models can be used to design new drugs, materials, and other products. If you are interested in a career in computational chemistry, there are a number of online courses that can help you to learn about this field. However, it is important to note that online courses alone are not enough to follow a path to this career. You will also need to have a strong foundation in chemistry, physics, and mathematics, as well as experience with computer programming and data analysis.
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.