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Multiphysics is defined as the coupled processes or systems involving more than one simultaneously occurring physical fields and the studies of and knowledge about these processes and systems <ref name=":0">{{Cite book|url=https://www.springer.com/us/book/9783319930275|title=Multiphysics in Porous Materials {{!}} Zhen (Leo) Liu {{!}} Springer|language=en}}</ref>. As an interdisciplinary study area, multiphysics spans over many science and engineering disciplines. Multiphysics is a practice built on mathematics, physics, application, and numerical analysis. The mathematics involved usually contains partial differential equations and tensor analysis. The physics refers to common types of physical processes, e.g., heat transfer (thermo-), pore water movement (hydro-), concentration field (concentro or diffuso/convecto/advecto), stress and strain (mechano-), dynamics (dyno-), chemical reactions (chemo- or chemico-), electrostatics (electro-), and magnetostatics (magneto-)<ref>{{Cite web|url=https://www.multiphysics.us|title=Multiphysics Learning & Networking - Home Page|website=www.multiphysics.us|access-date=2018-08-19}}</ref>.▼
▲'''Multiphysics''' is defined as the coupled processes or systems involving more than one simultaneously occurring physical fields and the studies of and knowledge about these processes and systems
== Definition ==
There are multiple definitions for multiphysics. In a broad sense, multiphysics refers to simulations that involve multiple physical models or multiple simultaneous physical phenomena. The inclusion of “multiple physical models” makes this definition a very broad and general concept, but this definition is a little bit self-contradictory as the implication of physical models may include that of physical phenomena
== History and Future ==
Multiphysics is neither a research concept far from daily life nor a recently-developed theory or technique. In fact, we live in a multiphysics world. Natural and artificial systems are running with various types of physical phenomena at different spatial and temporal scales: from atoms to galaxies and from pico-seconds to centuries. A few representative examples in fundamental and applied sciences are loads and deformations on solids, complex flows, fluid-structure interactions, plasma and chemical processes, thermo-mechanical and electromagnetic systems
Multiphysics has rapidly developed into a research and application area across many science and engineering disciplines. There is a clear trend that more and more challenging problems we are faced with involve physical processes that cannot be covered by a single traditional discipline. This trend requires us to extend our analysis capacity to solve more complicated and more multidisciplinary problems. Modern academic communities are confronted with problems of rapidly increasing complexity, which straddle across the traditional disciplinary boundaries between physics, chemistry, material science and biology. Multiphysics has also become a frontier in industrial practice. Simulation programs have been evolving into a tool in design, product development, and quality control. During these creation processes, engineers are now required to think in areas outside of their training, even with the assistance of the simulation tools. It is more and more necessary for the modern engineers to know and grape the concept of what is known deep inside the engineering world as “multiphysics.” <ref>{{Cite news|url=https://eandt.theiet.org/content/articles/2015/03/multiphysics-brings-the-real-world-into-simulations/|title=Multiphysics brings the real world into simulations|date=2015-03-16|access-date=2018-08-19|language=en-US}}</ref> The auto industry gives out a good example. Traditionally, different groups of people focus on the structure, fluids, electromagnets and the other individual aspect separately. By constrast, the intersection of aspects, which may represent two physics topics and once was a gray area, can be the essential link in the life cycle of the product. As commented by
== Types of Multiphysics ==
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== How to do Multiphysics? ==
The implementation of multiphysics usually follows the following procedure: identifying a multiphysical process/system, developing a mathematical description of this process/system, discretizing this mathematical model into an algebraic system, and solving this algebraic equation system and postprocessing the data. The abstraction of a multiphysical problem from a complex phenomenon and the description of such a problem are usually not emphasized but very critical to the success of the multiphysics analysis. This requires to identify the system to be analyzed, including geometry, materials and dominant mechanisms. The identified system will be interpreted using mathematics languages (function, tensor, differential equation) as computational ___domain, boundary conditions, auxiliary equations and governing equations. Discretization, solution and postprocessing are carried out using computers. Therefore, the above procedure is not much different from those in general numerical simulation based on the discretization of partial differential equations.<ref name=":0" />
=== Mathematics Model ===
A mathematical model is essentially a set of equations. The equations can be divided into three categories according to the nature and intended role. The first category is governing equations. A governing equation describes the major physical mechanisms and process without further revealing the change and nonlinearity of the material properties. For example, in a heat transfer problem, the governing equation could describe a process in which the thermal energy (represented using temperature or enthalpy) at an infinitesimal point or a representative element volume is changed due to energy transferred from surrounding points via conduction, advection, radiation, and internal heat sources or any combinations of these four heat transfer mechanisms as the following equation
<math>{\underbrace{\frac{\partial u}{\partial t} }_{{\rm Accumulation}}\underbrace{+\nabla \cdot \left(uv\right)}_{{\rm Advection}}\underbrace{-\nabla \cdot \left(K\nabla u\right)}_{{\rm Diffusion\; }\left({\rm Conduction}\right)}\underbrace{-\nabla \cdot \left(D\nabla u\right)}_{{\rm Dispersion}}=\underbrace{Q}_{{\rm Source}}}
</math>.
Couplings between fields can be achieved in each category.
==Discretization Method==
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