Diffpack, provided by inuTech GmbH (www.inutech.de), is an object-oriented problem-solving environment for the numerical solution of partial differential equations (PDEs). Diffpack is used worldwide for research purposes in the industry as well in the academic sector.
Among industrial Diffpack customers are technology leaders such as Intel, Petrobras, Dornier, Shell, St. Gobain, Lawrence Livermore Nat. Lab., Statoil, Veritas, Commissariat a l'Energie Atomique and Institut Francais du Petrol. Leading universities such as Stanford, Cornell, Vanderbilt, Birmingham, Lancaster, EPFL and Chalmers are among academic customers using Diffpack for research and education in areas like geology, geophysics, chemistry, medicine, physics, electronics, mechanics, mathematics and informatics.
The customer activities span from simple prototypical applications to projects involving several man-years of simulator development.
By its design, Diffpack provides a very high degree of modeling flexibility, while still maintaining the computational efficiency needed for the most demanding simulation problems in science and engineering. This is a key feature of all members of the Diffpack product line.
Unlike most products for PDEs, Diffpack is designed to allow easy modification and combination of all numerical building blocks making up an application. It has heavy focus on the flexible construction, modeling power and computational efficiency of the numerical kernel, rather than the specific nomenclature and graphical user interfaces targeting a particular engineering area.
As a result, Diffpack has no inherent restrictions on the types of PDEs that can be solved. Diffpack may very well be used to solve traditional engineering PDE problems; however, it is typical for current customers that they use Diffpack to solve special problems that can be characterized as "non-standard" and outside the mainstream engineering areas. Such problems often occur in pure research contexts or in the context of problems involving a variety of mutually dependent physical effects.
Although usage of Diffpack requires programming in C++, only minor C++ knowledge is required to get started. However, experience with programming in general is necessary.
Learn more about Diffpack at the softwares website www.diffpack.de
CADFEM turns 4001.07.2025Join us on the CADFEM journey! Our story describes the path from the beginnings as a 2-man simulation start-up in 1985 to today's international group of companies in the field of digital engineering.
Artificial Intelligence experts: PI Probaligence GmbH becomes part of the CADFEM Group29.01.2024Artificial intelligence (AI) is fundamentally changing the way we live and work. Particularly in areas where the level of digitalization is already high, AI is a key to enormous leaps in efficiency; numerical simulations and engineering processes are ready to be put to use. CADFEM has brought PI Probaligence on board as a partner with outstanding solutions and expertise to provide customers with targeted support as they move into the world of AI.
CADFEM Conference 2024: Meet us in Darmstadt, Germany, on April 10 and 1110.01.2024The German CADFEM Conference is back: We are looking forward to finally meeting you in person again on April 10-11, 2024 at the Darmstadt Science and Congress Center. Secure your ticket now for the largest event for Simulation and Digital Engineering in Central Europe!
