Power functional theory (PFT) vs traditional Dynamic DFT

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In summary, physicists from the University of Bayreuth have shown that power functional theory, in combination with artificial intelligence methods, performs substantially better than dynamic density functional theory in describing and predicting the dynamics of non-equilibrium systems. For over half a century, density functional theory has been a valuable tool in studying many-particle systems, but its limitations in non-equilibrium systems have been highlighted by this research. The research team at Bayreuth is working towards developing power functional theory to achieve the same precision and elegance in analyzing non-equilibrium systems as density functional theory does for equilibrium systems.
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Dynamic density functional theory "has weaknesses, as physicists from the University of Bayreuth have now shown in an article published in the Journal of Physics: Condensed Matter. Power functional theory proves to perform substantially better—in combination with artificial intelligence methods, it enables more reliable descriptions and predictions of the dynamics of non-equilibrium systems over time."

https://phys.org/news/2023-06-physi...hQVplcl7zlAoab8Qev-9Yq-Bhcz9UYrocQPXrouyg4mFI
Many-particle systems are all kind of systems composed of atoms, electrons, molecules, and other particles invisible to the eye. They are in thermal equilibrium when the temperature is balanced and no heat flow occurs. A system in thermal equilibrium changes its state only when external conditions change. Density functional theory is tailor-made for the study of such systems.

For more than half a century, it has proven its unrestricted value in chemistry and materials science. Based on a powerful classical variant of this theory, states of equilibrium systems can be described and predicted with high accuracy. Dynamic density functional theory (DDFT) extends the scope of this theory to non-equilibrium systems. This involves the physical understanding of systems whose states are not fixed by their external boundary conditions.

For ten years, the research team around Prof. Dr. Matthias Schmidt has been making significant contributions to the development of a still young physical theory, which has so far proven to be very successful in the physical study of many-particle systems: power functional theory (PFT). The physicists from Bayreuth are pursuing the goal of being able to describe the dynamics of non-equilibrium systems with the same precision and elegance with which classical density functional theory enables the analysis of equilibrium systems.

Perspective: How to overcome dynamical density functional theory​

https://iopscience.iop.org/article/10.1088/1361-648X/accb33
 
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What is Power functional theory (PFT)?

Power functional theory (PFT) is a theoretical framework used to understand and predict the properties of complex systems, such as electronic systems in materials. It is an extension of traditional density functional theory (DFT) that includes additional terms in the energy functional to account for non-local interactions and non-uniform electron densities.

What is the difference between PFT and traditional Dynamic DFT?

The main difference between PFT and traditional Dynamic DFT is the inclusion of power functionals in PFT. These power functionals allow for the description of non-local interactions and non-uniform electron densities, which are not captured by traditional DFT. Additionally, PFT also includes a time-dependent component, making it more suitable for studying dynamic processes.

What are the advantages of using PFT over traditional Dynamic DFT?

PFT offers several advantages over traditional Dynamic DFT. Firstly, it can accurately describe non-local interactions and non-uniform electron densities, which are crucial for studying complex systems. Additionally, PFT also allows for the analysis of dynamic processes, making it more versatile than traditional DFT.

What are some potential applications of PFT?

PFT has a wide range of potential applications in the fields of materials science, chemistry, and physics. It can be used to study the properties of materials, such as electronic structure, phase transitions, and chemical reactions. PFT can also be applied to biological systems, such as proteins and DNA, to understand their behavior and interactions.

What are the current challenges in implementing PFT?

One of the main challenges in implementing PFT is the development of accurate power functionals. These functionals need to be carefully designed and parametrized to accurately describe the non-local interactions and non-uniform electron densities in a system. Additionally, PFT also requires significant computational resources, making it challenging to apply to large systems.

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