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List of quantum chemistry and solid-state physics software. Quantum chemistry computer programs are used in computational chemistry to implement the methods of quantum chemistry. Most include the Hartree–Fock (HF) and some post-Hartree–Fock methods.
Ray tracing is a technique that can generate near photo-realistic computer images. A wide range of free software and commercial software is available for producing these images. This article lists notable ray-tracing software. Software.
The code implements various novel methods for numerically solving the Einstein field equations, including an N-body solver, full AMR capabilities via SAMRAI, and raytracing. Cosmological Boltzmann codes [ edit ]
HDL simulators are software packages that simulate expressions written in one of the hardware description languages, such as VHDL, Verilog, SystemVerilog. This page is intended to list current and historical HDL simulators, accelerators, emulators, etc.
Buyout firm Bain Capital is in talks to take education-software provider PowerSchool private, a person familiar with the matter said on Wednesday.
Freeware. The Open Mass Spectrometry Search Algorithm (OMSSA) is a search engine for identifying MS/MS peptide spectra by searching libraries of known protein sequences. OMSSA identifies significant hits with a probability score developed using classical hypothesis testing, the same statistical method used in BLAST.
A code searching tool with an emphasis on finding software bugs. Search patterns are written in a query language which can search the AST and graphs (CFG, DFG, etc.) of supported languages. A plugin is available for Visual Studio.
This list of phylogenetics software is a compilation of computational phylogenetics software used to produce phylogenetic trees. Such tools are commonly used in comparative genomics, cladistics, and bioinformatics.
Accelerator Physics Codes. A charged particle accelerator is a complex machine that takes elementary charged particles and accelerates them to very high energies.
In computer science, robustness is the ability of a computer system to cope with errors during execution [1] [2] and cope with erroneous input. [2] Robustness can encompass many areas of computer science, such as robust programming, robust machine learning, and Robust Security Network. Formal techniques, such as fuzz testing, are essential to ...