Mark Jarrell
- Two-dimensional Hubbard-Holstein bipolaron
2004/01/16 by Alexandru Macridin, George. A. Sawatzky, G. A. Sawatzky +1 · 3 citations
Materials Science · Physics and Astronomy · #Magnetic and transport properties of perovskites and related materials #Physics of Superconductivity and Magnetism #Quantum and electron transport phenomena #cond-mat.str-el #cond-mat.supr-con
- Physics of cuprates with the two-band Hubbard model: The validity of the one-band Hubbard model
2004/11/03 by A. Macridin, Alexandru Macridin, Th. Maier +4 · 2 citations
Materials Science · Physics and Astronomy · #Advanced Condensed Matter Physics #Iron-based superconductors research #Physics of Superconductivity and Magnetism #cond-mat.str-el #cond-mat.supr-con
- Quantum Critical Point at Finite Doping in the 2D Hubbard Model: A Dynamical Cluster Quantum Monte Carlo Study
2008/09/09 by N. S. Vidhyadhiraja, Vidhyadhiraja, N. S., Alexandru Macridin +7 · 2 citations
Physics and Astronomy · #FOS: Physical sciences #Physics of Superconductivity and Magnetism #Quantum many-body systems #Strongly Correlated Electrons (cond-mat.str-el) #Superconductivity (cond-mat.supr-con) #Theoretical and Computational Physics
- Absence of thed-density-wave state from the two-dimensional Hubbard model
2004/03/16 by Alexandru Macridin, Mark Jarrell, Thomas Maier · 1 citation
Physics and Astronomy · #Cold Atom Physics and Bose-Einstein Condensates #Physics of Superconductivity and Magnetism #Quantum and electron transport phenomena #cond-mat.str-el #cond-mat.supr-con
- Three Dimensional Edwards-Anderson Spin Glass Model in an External Field
2014/03/18 by Sheng Feng, Fang Ye, Feng, Sheng +11 · 1 citation
Physics and Astronomy · #Theoretical and Computational Physics #Opinion Dynamics and Social Influence #Complex Network Analysis Techniques
- Interatomic Potential in a Simple Dense Neural Network Representation
2019/11/04 by Ka-Ming Tam, Tam, Ka-Ming, Nicholas Walker +5 · 1 citation
Computer Science · Materials Science · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Model Reduction and Neural Networks #Statistical Mechanics (cond-mat.stat-mech)