Attila Cangi

1. Effects of Mosaic Crystal Instrument Functions on X-ray Thomson Scattering Diagnostics
   2024/06/05 by Thomas Gawne, Gawne, Thomas, Hannah M. Bellenbaum +74 · 6 citations
   Earth and Planetary Sciences · Materials Science · Physics and Astronomy · #FOS: Physical sciences #High-pressure geophysics and materials #Instrumentation and Detectors (physics.ins-det) #Nuclear Physics and Applications #Plasma Physics (physics.plasm-ph) #X-ray Diffraction in Crystallography
2. Random Quantum Neural Networks (RQNN) for Noisy Image Recognition
   2022/03/03 by Debanjan Konar, Erol Gelenbe, Konar, Debanjan +7 · 1 citation
   Computer Science · Engineering · #Quantum Computing Algorithms and Architecture #Advanced Memory and Neural Computing #Machine Learning and ELM
3. Electrical conductivity of warm dense hydrogen from ohm’s law and time-dependent density functional theory
   2024/11/11 by Kushal Ramakrishna, Mani Lokamani, Attila Cangi · 1 voice · 2 citations
   Chemistry · Materials Science · #Advanced Physical and Chemical Molecular Interactions #Electronic and Structural Properties of Oxides #Machine Learning in Materials Science
4. Physics-Informed Neural Networks as Solvers for the Time-Dependent Schrödinger Equation
   2022/10/22 by Karan Shah, Patrick Stiller, Shah, Karan +5 · 1 citation
   Computer Science · Physics and Astronomy · #FOS: Physical sciences #Model Reduction and Neural Networks #Neural Networks and Reservoir Computing #Quantum Physics (quant-ph) #Quantum, superfluid, helium dynamics
5. Strong geometry dependence of the X-ray Thomson Scattering Spectrum in single crystal silicon
   2025/01/31 by Thomas Gawne, Gawne, Thomas, Zhandos A. Moldabekov +37 · 4 citations
   Engineering · Physics and Astronomy · #Crystallography and Radiation Phenomena #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Plasma Physics (physics.plasm-ph) #Semiconductor materials and interfaces #Silicon and Solar Cell Technologies
6. Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations
   2024/11/29 by Attila Cangi, Cangi, Attila, Lenz Fiedler +25 · 3 citations
   Materials Science · #Machine Learning in Materials Science #Electron and X-Ray Spectroscopy Techniques #X-ray Diffraction in Crystallography
7. MANDALA: An E(3)-Equivariant Graph Neural Network Framework for Learning Electronic-Structure Operators with Observable Guidance
   2026/07/27 by Bartosz Brzoza, Wiktoria Szopa, Zakaria Elabid +5
   #cond-mat.mtrl-sci #physics.chem-ph