Predicting the Extreme
PREXTREME aims to solve the fermion sign problem in warm dense matter using AI and supercomputers, enhancing understanding of hydrogen's properties and advancing applications in material science and nuclear fusion.
Projectdetails
Introduction
Matter at extreme densities and temperatures is ubiquitous in nature and occurs, e.g., in planetary interiors. In addition, such warm dense matter (WDM) conditions are of high importance to technological applications such as nuclear fusion. Therefore, there has been a remarkable investment in the experimental realization of WDM in large research facilities around the globe, leading to a number of spectacular discoveries.
Theoretical Challenges
Yet, the absence of a reliable theoretical description of WDM is severely hampering this progress. This is best illustrated by considering hydrogen, the most simple and abundant element in the universe. Even here, a multitude of pressing questions continues to be unanswered:
- What is the nature of the insulator-to-metal phase transition of hydrogen at high pressure?
- How do electronic properties of hydrogen impact the evolution of giant planets and brown dwarfs?
- How can a hydrogen pellet best be compressed to efficiently produce electrical power in a fusion reactor?
Computational Bottlenecks
The central obstacle on the path towards answers to these questions is the fermion sign problem, one of the most fundamental computational bottlenecks in physics, chemistry, and related disciplines. Recently, a number of methodological breakthroughs have allowed me to present the first accurate data for the electronic properties of WDM over substantial parts of the relevant parameter space. This was achieved using supercomputers and the data-driven construction of AI surrogate models.
Proposed Solution
In PREXTREME, I propose to explore a hitherto unattempted complete solution to the sign problem, which will allow me to answer many questions about warm dense hydrogen and heavier elements with a direct impact on applications in material science, astrophysical models, and nuclear fusion.
Broader Implications
Moreover, my envisioned approach will revolutionize quantum many-body theory, with important implications for a gamut of fields including high-temperature superconductivity, high-pressure physics, and ultracold atoms.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.486.250 |
Totale projectbegroting | € 1.486.250 |
Tijdlijn
Startdatum | 1-3-2023 |
Einddatum | 29-2-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- HELMHOLTZ-ZENTRUM DRESDEN-ROSSENDORF EVpenvoerder
Land(en)
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Understanding Material Synthesis Conditions and Complexity at High-Pressure
This project aims to develop computational tools using machine learning to guide the synthesis of next-generation materials that retain their properties under ambient conditions.
Realizing designer quantum matter in van der Waals heterostructures
The project aims to engineer exotic quantum phases in van der Waals heterostructures using molecular-beam epitaxy, enabling novel quantum materials for advanced quantum technologies.
Helium dimer Ultracold Molecules - a platform for fundamental physics and ultracold chemistry
HeliUM aims to achieve quantum degeneracy by directly laser cooling the He2 molecule, enabling unprecedented precision in quantum measurements and studies of molecular collisions.
Cosmological phase transitions of Standard Model Matter and their gravitational wave signatures
This project aims to enhance understanding of early Universe phase transitions through large-scale lattice simulations of hot matter, utilizing advanced algorithms and machine learning to analyze gravitational wave signatures.
Experimental signatures of quantum electrodynamics in the strong field regime
The EXAFIELD project aims to explore non-perturbative strong-field quantum electrodynamics by using Doppler-boosted laser pulses to collide with ultrashort electron bunches, revealing new physics.