Papers

• Combined tools for Particle-In-Cell simulations performed with transversely asymmetric chirped lasers (2026)
  I. Moulanier et al.
  4.39
• Predictive capabilities of the integrated modeling TRANSP code for tokamak plasmas (2026)
  A. Y. Pankin et al.
  1.89
• Machine Learning-Integrated Hybrid Fluid-Kinetic Framework for Quantum Electrodynamic Laser Plasma Simulations (2025)
  Sadra Saremi et al.
  1.50
• Scalable Discovery of Fundamental Physical Laws: Learning Magnetohydrodynamics from 3D Turbulence Data (2025)
  Matthew Golden et al.
  1.00
• Data-driven model for divertor plasma detachment prediction (2022)
  Ben Zhu et al.
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• Accuracy of Kohn-Sham density functional theory for warm- and hot-dense matter equation of state (2023)
  Phanish Suryanarayana et al.
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• Generative Neural Reparameterization for Differentiable PDE-constrained Optimization (2024)
  Archis S. Joglekar
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• Building robust surrogate models of laser-plasma interactions using large scale PIC simulation (2024)
  Nathan Smith et al.
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