* Computational approaches to help in the efficient synthesis of compounds.

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

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.

Computational approaches to sequence alignment generally fall into two categories: global alignments and local alignments.

Computational biology, bioinformatics and mathematical biology are all interdisciplinary approaches to the life sciences that draw from quantitative disciplines such as mathematics and information science.

Computational approaches to the automated extraction of glossaries from corpora or the Web have been developed in the recent years.

Computational archaeology may include the use of geographical information systems ( GIS ), especially when applied to spatial analyses such as viewshed analysis and least-cost path analysis as these approaches are sufficiently computationally complex that they are extremely difficult if not impossible to implement without the processing power of a computer.

Computational approaches to genome comparison have recently become a common research topic in computer science.

Computational intelligence ( CI ) is a set of nature-inspired computational methodologies and approaches to address complex real-world problems to which traditional approaches, i. e., first principles modeling or explicit statistical modeling, are ineffective or infeasible.

Computational methods, when combined with experimental approaches, can significantly assist both the design and redesign of new proteins through directed evolution.

* Daskalaki A, Wierling C, Herwig R ( 2009 ), Computational tools and resources for systems biology approaches in cancer. In Computational Biology-Issues and Applications in Oncology, Series: Applied Bioinformatics and Biostatistics in Cancer Research, Pham, Tuan ( Ed.

* CGAL, the Computational Geometry Algorithms Library ( CGAL ) is a software library that aims to provide easy access to efficient and reliable algorithms in computational geometry.

Computational irreducibility may also provide a scientific based resolution for free will.

Computational efficiency is achieved through the use of fast Fourier

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

Computational protein design algorithms seek to identify novel amino acid sequences that are low in energy when folded to the pre-specified target structure.

The NatHaz Modeling Laboratory at the University of Notre Dame is currently conducting an investigation of the flow field around the structure, modeling the tower and the immediate area surrounding it using Computational fluid dynamics ( CFD ).

Computational protein design algorithms search the sequence-conformation space for sequences that are low in energy when folded to the target structure.

Computational protein design algorithms use rotamer libraries and models of protein energetics to evaluate how mutations would affect a protein's structure and function.

Computational neuroscientists are particularly interested in thalamocortical loops because they represent a structure that is disproportionally larger and more complex in humans than other mammals ( when body size is taken into account ), which may contribute to humans ' special cognitive abilities.

* Bioinformatics and Computational biology – The use of computer science to maintain, analyse, store biological data and to assist in solving biological problems such as Protein folding, function prediction and Phylogeny.

Computational models predict that LTD creates a gain in recognition memory storage capacity over that of LTP in the perirhinal cortex, and this prediction is confirmed by neurotransmitter receptor blocking experiments.

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

* Computational power available, i. e., the computing power which can be brought to bear on the problem.

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

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 has theoretical and applied components, where theoretical computational linguistics takes up issues in theoretical linguistics and cognitive science, and applied computational linguistics focuses on the practical outcome of modelling human language use.

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

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 linguistics was born as the name of the new field of study devoted to developing algorithms and software for intelligently processing language data.

Computational modeling uses simulations to study how human intelligence may be structured.

Computational models require a mathematically and logically formal representation of a problem.

Computational modeling can help us to understand the functional organization of a particular cognitive phenomenon.

), Computational Architectures Integrating Neural and Symbolic Processes.

Computational chemistry is a branch of chemistry that uses principles of computer science to assist in solving chemical problems.

Computational chemistry methods range from highly accurate to very approximate ; highly accurate methods are typically feasible only for small systems.

The Journal of Computational Chemistry was first published in 1980.

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

* Computational studies can be carried out to find a starting point for a laboratory synthesis, or to assist in understanding experimental data, such as the position and source of spectroscopic peaks.

* Computational studies can be used to predict the possibility of so far entirely unknown molecules or to explore reaction mechanisms that are not readily studied by experimental means.

Computational chemists often attempt to solve the non-relativistic Schrödinger equation, with relativistic corrections added, although some progress has been made in solving the fully relativistic Dirac equation.

Computational chemical methods can be applied to solid state physics problems.