1. A. Nocera, U. Kumar, N. Kaushal, G. Alvarez, E. Dagotto, and S. Johnston, Computing Resonant Inelastic X-Ray Scattering Spectra Using the Density Matrix Renormalization Group Method, Scientific Reports 8, 11080 (2018).  

  2. I. Esterlis, B. Nosarzewski, E. W. Huang, B. Moritz, T. P. Devereaux, D. J. Scalapino, and S. A. Kivelson, Breakdown of the Migdal-Eliashberg Theory: a Determinant Quantum Monte Carlo Study, Phys. Rev. B 97, 140501 (2018). 

  3. A. Nocera, Y. Wang, N. D. Patel, G. Alvarez, T. A. Maier, E. Dagotto, and S. Johnston, Doping Evolution of Charge and Spin Excitations in Two-Leg Hubbard Ladders: Comparing DMRG and FLEX Results, Phys. Rev. B 97, 195156 (2018). 

  4. M. Jiang, U. R. Hähner, T. C. Schulthess, and T. A. Maier, d-Wave Superconductivity in the Presence of Nearest-Neighbor Coulomb Repulsion, Phys. Rev. B 97, 184507 (2018). 

  5. S. Li, Y. Tang, T. A. Maier, and S. Johnston, Phase Competition in a One-Dimensional Three-Orbital Hubbard-Holstein Model, Phys. Rev. B 97, 195116 (2018).

  6. S. Okamoto, G. Alvarez, E. Dagotto, and T. Tohyama, Accuracy of the Microcanonical Lanczos Method to Compute Real-Frequency Dynamical Spectral Functions of Quantum Models at Finite Temperatures, Phys. Rev. E 97, 043308 (2018). 

  7. T. Dahm and D. J. Scalapino, Dependence of Tc on the Q-Ω Structure of the Spin-Fluctuation Spectrum, Phys. Rev. B 97, 184504 (2018).

  8. Xuping Xie, Feng Bao, and Clayton Webster, Evolve Filter Stabilization Reduced-Order Model for Stochastic Burgers Equation, Fluids 3(4), 3040084 (2018). 

  9. I. Esterlis, S. A. Kivelson, D. J. Scalapino, A bound on the superconducting transition temperature, NPJ Quantum Materials 3, 59 (2018).   

  10. P. M. Dee, K. Nakatsukasa, Y. Wang, and S. Johnston, Temperature-filling phase diagram of the two-dimensional Holstein model in the thermodynamic limit by self-consistent Migdal approximation, Physical Review B 99, 024514 (2019).  

  11. Urs. R. Hähner, Gonzalo Alvarez, Thomas A. Maier, Raffaele Solcà, Peter Staar, Michael S. Summers, Thomas C. Schulthess, DCA++: A software framework to solve correlated electron problems with modern quantum cluster methods, Comput. Phys. Commun. 246, 106709 (2020).  

  12. T. A. Maier, V. Mishra, G. Balduzzi, and D. J. Scalapino, Effective pairing interaction in a system with an incipient band, Physical Review B 99, 140504(R)  (2019).  

  13. N. Kaushal, A. Nocera, G. Alvarez, A. Moreo, E. Dagotto, Block Excitonic Condensate at n=3.5 in a spin-orbit coupled multiorbital Hubbard Model, Phys. Rev. B 99, 155115 (2019).

  14. F. Bao, Y. Cao, and H. Chi, Adjoint Forward Backward Stochastic Differential Equations Driven by Jump Diffusion Processes and Its Application to Nonlinear Filtering Problems, International Journal for Uncertainty Quantification 9, 143 (2019). 

  15. Thomas A. Maier and Douglas J. Scalapino, Pairfield Fluctuations of a 2D Hubbard Model, npj Quantum Materials 4, 30 (2019). 

  16. N. D. Patel, A. Nocera, G. Alvarez, A. Moreo, S. Johnston, and E. Dagotto, Fingerprints of an orbital-selective Mott Phase in the block magnetic State of BaFe2Se3 ladders, Communications Physics 2, 64 (2019). 

  17. T. A. Maier, T. Berlijn, D. J. Scalapino, Two pairing domes as Cu2+ varies to Cu3+, Physical Review B 99, 224515 (2019). 

  18. S. Li, P. M. Dee, E. Khatami, S. Johnston, Accelerating lattice quantum Monte Carlo simulation using artificial neural networks: Application to the Holstein model, Physical Review B 100, 020302(R) (2019).

  19. J. Criado, M. Garcia-Gasulla, J. Labarta, A. Chatterjee, O. Hernandez, R. Sirvent, and G. Alvarez, Optimization of Condensed Matter Physics Application with OpenMP Tasking Model, in OpenMP: Conquering the Full Hardware Spectrum (Springer, 2019), pp. 291–305.

  20. C. Eichstaedt, Y. Zhang, P. Laurell, S. Okamoto, A. G. Eguiluz, and T. Berlijn, Deriving Models for the Kitaev Spin-Liquid Candidate Material α−RuCl3 From First Principles, Phys. Rev. B 100, 075110 (2019).

  21. J.-Q. Yan, S. Okamoto, Y. Wu, Q. Zheng, H. D. Zhou, H. B. Cao, and M. A. McGuire, Magnetic order in single crystals of Na3Co2SbO6 with a honeycomb arrangement of 3d7 Co2+ ions, Phys. Rev. Mat. 3, 074405 (2019).

  22. R. Archibald, F. Bao, and X. Tu, A Direct Filter Method for Parameter Estimation, J. Comput. Phys. 398, 108871 (2019).

  23. G. Balduzzi, A.Chatterjee, Y. W. Li, P. Doak, U. Haehner, E. D'Azevedo, T. Maier, T. Schulthess, Accelerating DCA++ (Dynamical Cluster Approximation) Scientific Application on the Summit supercomputer, 28th International Conference on Parallel Architectures and Compilation Techniques (PACT) (2019).

  24. T. A. Maier and D. J. Scalapino, Disappearance of Superconductivity in the Overdoped Cuprates, Journal of Superconductivity and Novel Magnetism 6, (2020).

  25. P. Laurell and S. Okamoto, Dynamical and thermal magnetic properties of the Kitaev spin liquid candidate α-RuCl3, npj Quantum Materials 5, 2 (2019).

  26. U. R. Hähner, G. Balduzzi, P. W. Doak, T. A. Maier, R. Solcá and T. C. Schulthess, DCA++ project: Sustainable and scalable development of a high-performance research code, J. Phys.: Conf. Ser. 1290, 012017 (2019).

  27. X. Xie, G. Zhang, C. Webster, Non-Intrusive Inference Reduced Order Model for Fluids Using Deep Multistep Neural Network, Mathematics 7, 757 (2019).

  28. Astrid T. Rømer, Thomas A. Maier, Andreas Kreisel, Ilya Eremin, P. J. Hirschfeld, Brian M. Andersen, Pairing in the two-Dimensional Hubbard Model from weak to strong coupling, Phys. Rev. Res. 2, 013108 (2020).

  29. P. T. Raum, G. Alvarez, T. Maier, and V. W. Scarola, Two-Particle Correlation Functions in Cluster Perturbation Theory: Hubbard Spin Susceptibilities, Phys. Rev. B 101, 075122 (2020).

  30. F. Bao and T. Maier, Stochastic Gradient Descent Algorithm for Stochastic Optimization in Solving Analytic Continuation Problems, Foundations of Data Science 2, 1 (2020).

  31. S. Li and S. Johnston, Quantum Monte Carlo study of lattice polarons in the two-dimensional three-orbital Su–Schrieffer–Heeger model, npj Quantum Materials 5, pp. 1–10, (2020).

  32. S. Bhattacharyya, P. J. Hirschfeld, T. A. Maier, and D. J. Scalapino, Effects of momentum-dependent quasiparticle renormalization on the gap structure of iron-based superconductors, Phys. Rev. B 101, 174509 (2020).

  33. U. R. Hähner, T. A. Maier, and T. C. Schulthess, Continuous momentum dependence in the dynamical cluster approximation, Phys. Rev. B 101, 195114 (2020).

  34. N. D. Patel, N. Kaushal, A. Nocera, G. Alvarez, and E. Dagotto, Emergence of superconductivity in doped multiorbital Hubbard chains, npj Quantum Materials 5, 1–9 (2020).

  35. T. A. Maier, S. Karakuzu, and D. J. Scalapino, Overdoped end of the cuprate phase diagram, Phys. Rev. Res. 2, 033132 (2020).

  36. P. M. Dee, J. Coulter, K. Kleiner, S. Johnston, Relative importance of nonlinear electron-phonon coupling and vertex corrections in the Holstein model, Communications Physics 3, 1-7 (2020).

  37. J. Herbrych, J. Heverhagen, G. Alvarez, M. Daghofer, A. Moreo, E. Dagotto, Block-Spiral Magnetism: A New Type of Frustrated Order, PNAS 117, 16226 (2020).

  38. M. Vogl, P. Laurell, H. Zhang, S. Okamoto, and G. A. Fiete, Resummation of the Holstein-Primakoff expansion and differential equation approach to operator square-roots, Phys. Rev. Research 2, 043243 (2020).

  39. J. Herbrych, G. Alvarez, A. Moreo, and E. Dagotto, Block orbital-selective Mott insulators: A spin excitation analysis, Phys. Rev. B 102, 115134 (2020).

  40. B. Pandey, L.-F. Lin, R. Soni, N. Kaushal, J. Herbrych, G. Alvarez, and E. Dagotto, Prediction of exotic magnetic states in the alkali metal quasi-one-dimensional iron selenide compound Na2FeSe2, Phys. Rev. B 102, 035149 (2020).

  41. N. Kaushal, R. Soni, A. Nocera, G. Alvarez, and E. Dagotto, BCS-BEC crossover in a t2g Excitonic Magnet, Phys. Rev. B 101, 245147 (2020).

  42. R. Archibald, F. Bao, and J. Yong, A Stochastic Gradient Descent Approach for Stochastic Optimal Control, East Asian Journal of Applied Mathematics, 10(4), 635-658 (2020).

  43. F. Bao, Y. Cao and X. Han, Forward Backward Doubly Stochastic Differential Equations and Optimal Filtering of Diffusion Processes, Communications in Mathematical Sciences, 18(3), 635-661 (2020).

  44. F. Bao, Y. Cao and J. Yong, Data informed solution estimation for forward backward stochastic differential equations, Analysis and Applications, 1-26 (2020).

  45. W. Wei, A. Chatterjee, K. Huck, O. Hernandez, H. Kaiser, Performance analysis of a Quantum Monte Carlo Application on Multiple Hardware Architectures Using the HPX Runtime, 2020 IEEE/ACM 11th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA), 77 (2020).

  46. G. Sala, M. B. Stone, Binod K. Rai, A. F. May, P. Laurell, V. O. Garlea, N. P. Butch, M. D. Lumsden, G. Ehlers, G. Pokharel, A. Podlesnyak, D. Mandrus, D. S. Parker, S. Okamoto, Gábor B. Halász, and A. D. Christianson, Van Hove singularity in the magnon spectrum of the antiferromagnetic quantum honeycomb lattice, Nature Communications 12, 171 (2021).

  47. P. Mai, G. Balduzzi, S. Johnston, and T. A. Maier, Orbital structure of the effective pairing interaction in the high-temperature superconducting cuprates, npj Quantum Materials (2021).

  48. P. Mai, G. Balduzzi, S. Johnston, and T. A. Maier, Pairing Correlations in the Cuprates: A Numerical Study of the Three-Band Hubbard Model, Phys. Rev. B 103, 144514 (2021).

  49. J. Pelliciari, S. Karakuzu, Q. Song, R. Arpaia, A. Nag, M. Rossi, J. Li, T. Yu, X. Chen, R. Peng, M. Garcia-Fernandez, A. C. Walters, Q. Wang, J. Zhao, G. Ghiringhelli, D. Feng, T. A. Maier, K.-J. Zhou, S. Johnston, and R. Comin, Evolution of Spin Excitations from Bulk to Monolayer FeSe, Nat. Commun. 12, 3122 (2021).

  50. B. Nosarzewski, E. W. Huang, Philip M. Dee, I. Esterlis, B. Moritz, S. A. Kivelson, S. Johnston, and T. P. Devereaux, Superconductivity, charge density waves, and bipolarons in the Holstein model. Physical Review B 103, 235156 (2021).

  51. A. Scheie, P. Laurell, A. M. Samarakoon, B. Lake, S. E. Nagler, G. E. Granroth, S. Okamoto, G. Alvarez, and D. A. Tennant, Witnessing entanglement in quantum magnets using neutron scattering, Phys. Rev. B 103, 224434 (2021).

  52. J. Herbrych, M. Środa, G. Alvarez, M. Mierzejewski & E. Dagotto, Interaction-induced topological phase transition and Majorana edge states in low-dimensional orbital-selective Mott insulators, Nat. Comm. 12, 2955 (2021).

  53. Tom Berlijn, Gonzalo Alvarez, David S. Parker, Raphaël P. Hermann, and Randy S. Fishman, Simulating spin waves in entropy stabilized oxides, Phys. Rev. Research 3, 033273 (2021).

  54. Ling-Fang Lin, Yang Zhang, Gonzalo Alvarez, Adriana Moreo, and Elbio Dagotto, Origin of Insulating Ferromagnetism in Iron Oxychalcogenide Ce2O2FeSe2, Phys. Rev. Lett. 127, 077204 (2021).

  55. X. Xie, F. Bao, T. Maier, and C. Webster, Analytic Continuation of Noisy Data Using Adams Bashforth ResNet, Discret. Contin. Dyn. Syst. Ser. S 1 (2021).

  56. Pontus Laurell, Allen Scheie, Chiron J. Mukherjee, Michael M. Koza, Mechtild Enderle, Zbigniew Tylczynski, Satoshi Okamoto, Radu Coldea, D. Alan Tennant, and Gonzalo Alvarez, Quantifying and Controlling Entanglement in the Quantum Magnet Cs2CoCl4, Phys. Rev. Lett. 127, 037201 (2021).

  57. S. Li, A. Nocera, U. Kumar, and S. Johnston, Particle-hole asymmetry in the dynamical spin and charge structure factors of the corner-shared one-dimensional cuprates, Communications Physics 4, 217 (2021).

  58. B. Pandey, R. Soni, L.-F. Lin, G. Alvarez, and E. Dagotto, Intertwined charge, spin, and pairing orders in doped iron ladders, Phys. Rev. B 103, 214513 (2021).

  59. Jiang, S., Scalapino, D. J., White, S. R., Ground-state phase diagram of the t-t′-J model, Proceedings of the National Academy of Sciences 44, 118 (2021).

  60. W. Wei, E. D’Azevedo, K. Huck, A. Chatterjee, O. Hernandez, H. Kaiser, Memory reduction using a ring abstraction over GPU RDMA for distributed quantum Monte Carlo solver, Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2021 (2021).

  61. Shi Feng, Gonzalo Alvarez, and Nandini Trivedi, Gapless to gapless phase transitions in quantum spin chains, Phys. Rev. B 105, 014435 (2022).

  62. Ling-Fang Lin, Yang Zhang, Gonzalo Alvarez, Jacek Herbrych, Adriana Moreo, and Elbio Dagotto, Prediction of orbital-selective Mott phases and block magnetic states in the quasi-one-dimensional iron chain Ce2O2FeSe2 under hole and electron doping, Phys. Rev. B 105, 075119 (2022).


M. Naamneh, M. Yao, J. Jandke, J. Ma, Z. Ristic, J. Teyssier, A. Stucky, D. van der Marel, D. J. Gawryluk, T. Shang, M. Medarde, E. Pomjakushina, S. Li, T. Berlijn, S. Johnston, M. Müller, J. Mesot, M. Shi, M. Radovic & N. C. Plumb, Cooling a polaronic liquid: Phase mixture and pseudogap-like spectra in superconducting Ba1−xKxBiO3, under review at Nature Communications (2018). 

F. Bao, Y. Cao and H. Zhang, A Splitting Up Scheme for Backward Doubly Stochastic Differential Equations, under review (2020).

R. Archibald, F. Bao, J. Yong and T. Zhou, "An Efficient Numerical Algorithm for Solving Data Driven Feedback Control Problems, under review (2020).

CompFUSE partners