Computational chemists, in contrast, may simply apply existing computer programs and methodologies to specific chemical questions.

Computational solid state physics, for example, uses density functional theory to calculate properties of solids, a method similar to that used by chemists to study molecules.

Computational chemists try to predict the ADME-Tox qualities of compounds through methods like QSPR or QSAR.

Computational linguists often work as members of interdisciplinary teams, including linguists ( specifically trained in linguistics ), language experts ( persons with some level of ability in the languages relevant to a given project ), and computer scientists.

Computational linguistics as a field predates artificial intelligence, a field under which it is often grouped.

Computational simulations of phospholipids are often performed using molecular dynamics with force fields such as GROMOS, CHARMM, or AMBER.

Computational models can facilitate the global profiling of DNA methylation across chromosomes, and often times such models are faster and cheaper to perform than biological assays.

Computational science application programs often model real-world changing conditions, such as weather, air flow around a plane, automobile body distortions in a crash, the motion of stars in a galaxy, an explosive device, etc.

For that reason, a related program called KINetics is often used in conjunction with Computational Fluid Dynamics tools.

The Computational Representational Understanding of Mind ( CRUM ) is another attempt at modeling human cognition through simulated processes like acquired rule-based systems in decision making and the manipulation of visual representations in decision making.

Computational fluid dynamics was started as an effort to solve for flow properties around complex objects and has rapidly grown to the point where entire aircraft can be designed using a computer, with wind-tunnel tests followed by flight tests to confirm the computer predictions.

Computational mathematics ask the player to solve a math problem, which is dissimilar to the other subject areas.

Computational physics is the study and implementation of numerical algorithms to solve problems in physics for which a quantitative theory already exists.

Computational physics also encompasses the tuning of the software / hardware structure to solve problems.

* Computational science – constructing mathematical models and quantitative analysis techniques and using computers to analyze and solve scientific problems.

Computational fluid dynamics, usually abbreviated as CFD, is a branch of fluid mechanics that uses numerical methods and algorithms to solve and analyze problems that involve fluid flows.

* Computational geometry, the study of algorithms to solve problems stated in terms of geometry

* Computational Science Modeling, constructing models and quantitative analysis techniques and using computers to analyze and solve scientific problems.

Computational physics is the study and implementation of numerical algorithms in order to solve problems in physics for which a quantitative theory already exists.

Computational science ( or scientific computing ) is concerned with constructing mathematical models and quantitative analysis techniques and using computers to analyze and solve scientific problems.

:: Research areas: Computational Science, which involves construction of mathematical models and numerical solution techniques and the use of computers to analyze and solve scientific, social scientific and engineering problems.

Computational complexity theory deals with the relative computational difficulty of computable functions.

Computational linguistics is an interdisciplinary field dealing with the statistical or rule-based modeling of natural language from a computational perspective.

Computational linguistics originated with efforts in the United States in the 1950s to use computers to automatically translate texts from foreign languages, particularly Russian scientific journals, into English.

* Computational approaches to design molecules that interact in specific ways with other molecules ( e. g. drug design and catalysis ).

This is a parallel and collaborative effort e. g. with research at the Princeton Sound Lab, the University of Cologne, and the Computational Arts Research Group at Queensland University of Technology.

Computational lexicology as a related field ( in the same way that computational linguistics is related to linguistics ) deals with the computational study of dictionaries and their contents.

The subfield of NLP devoted to learning approaches is known as Natural Language Learning ( NLL ) and its conference CoNLL and peak body SIGNLL are sponsored by ACL, recognizing also their links with Computational Linguistics and Language Acquisition.

The first such program was begun in 2001 the Centre for Computational Drug Discovery at the University of Oxford in cooperation with the National Foundation for Cancer Research.

Computational fluid dynamics dispenses with many of the simplifying assumptions used to derive classical formulas and computer software facilitates optimization.

The Tepper School offers masters degrees in Business Administration ( MBA ) and joint degrees in Computational Finance ( MSCF ) with the Dietrich College of Humanities and Social Sciences, the Mellon College of Science, and the School of Computer Science.

Computational biomodeling, a field concerned with building computer models of biological systems.

Additionally, a PlanetComputing project is envisaged that would also include Computational Physics and AI together with logical, categorical, ontological and mathematical foundations of computers and automata.

It also offers a Postdoctoral Professional Masters ( PPM ) and a joint PhD program in Computational Biology with Claremont Graduate University.

Computational archaeology is also known as archaeological informatics ( Burenhult 2002, Huggett and Ross 2004 ) or archaeoinformatics ( sometimes abbreviated as " AI ", but not to be confused with artificial intelligence ).

Computational tasks can only operate on local data, and if remote data is required, the computational task must communicate with one or more remote processors.

* Computational transportation science, an emerging discipline that combines computer science and engineering with the modeling, planning, and economic aspects of transportation

Computational modeling of biophysically realistic neurons and dendrites began with the work of Wilfrid Rall, with the first multicompartmental model using cable theory.

* Computational and Systems Neuroscience ( COSYNE )– a computational neuroscience meeting with a systems neuroscience focus.

Computational finance is a field in computer science and deals with the data and algorithms that arise in financial modeling.

Current notable academics in this school include Richard Bartle, best known as co-creator of MUD1, Edward Tsang for his work on constraint satisfaction and computational finance, Professor Ray Turner for his numerous publication relating to Logic and Computation, Professor Vic Callaghan as head of the Intelligent Environments Group ( IEG ) and Simon Lucas for his research into Computational Intelligence and Computer Games namely for his research with the UK Research Network on Artificial Intelligence and Video Game technologies.