Cheng Peng

All Publications

• Kitaev physics in the two-dimensional magnet NiPSe₃ PHYSICAL REVIEW RESEARCH Peng, C., Mardanya, S., Petsch, A. N., Sharma, V., Li, S., Jia, C., Bansil, A., Chowdhury, S., Turner, J. J. 2024; 6 (3)

  View details for DOI 10.1103/PhysRevResearch.6.033206

  View details for Web of Science ID 001299530700003

• Emergence of antiferromagnetic correlations and Kondolike features in a model for infinite layer nickelates NPJ QUANTUM MATERIALS Liu, F., Peng, C., Huang, E. W., Moritz, B., Jia, C., Devereaux, T. P. 2024; 9 (1)

  View details for DOI 10.1038/s41535-024-00659-x

  View details for Web of Science ID 001243372200001

• Machine learning-empowered study of metastable γ-CsPbI₃ under pressure and strain JOURNAL OF MATERIALS CHEMISTRY A Han, M., Peng, C., Song, R., Ke, F., Nashed, Y. G., Mao, W. L., Jia, C., Lin, Y. 2024

  View details for DOI 10.1039/d4ta00174e

  View details for Web of Science ID 001199652300001

• Exfoliable Transition Metal Chalcogenide Semiconductor NbSe2I2. Inorganic chemistry Qu, K., Zhang, Y., Peng, C., Riedel, Z. W., Won, J., Zhang, R., Woods, T. J., Devereaux, T., van der Zande, A. M., Shoemaker, D. P. 2024

  Abstract

  As the field of exfoliated van der Waals electronics grows to include complex heterostructures, the variety of available in-plane symmetries and geometries becomes increasingly valuable. In this work, we present an efficient chemical vapor transport synthesis of NbSe2I2 with the triclinic space group P1̅. This material contains Nb-Nb dimers and an in-plane crystallographic angle γ = 61.3°. We show that NbSe2I2 can be exfoliated down to few-layer and monolayer structures and use Raman spectroscopy to test the preservation of the crystal structure of exfoliated thin films. The crystal structure was verified by single-crystal and powder X-ray diffraction methods. Density functional theory calculations show triclinic NbSe2I2 to be a semiconductor with a band gap of around 1 eV, with similar band structure features for bulk and monolayer crystals. The physical properties of NbSe2I2 have been characterized by transport, thermal, optical, and magnetic measurements, demonstrating triclinic NbSe2I2 to be a diamagnetic semiconductor that does not exhibit any phase transformation below room temperature.

  View details for DOI 10.1021/acs.inorgchem.3c03493

  View details for PubMedID 38174989

• Charge order and superconductivity in a two-band model for infinite-layer nickelates PHYSICAL REVIEW B Peng, C., Jiang, H., Moritz, B., Devereaux, T. P., Jia, C. 2023; 108 (24)

  View details for DOI 10.1103/PhysRevB.108.245115

  View details for Web of Science ID 001144917900008

• Bayesian experimental design and parameter estimation for ultrafast spin dynamics MACHINE LEARNING-SCIENCE AND TECHNOLOGY Chen, Z., Peng, C., Petsch, A. N., Chitturi, S. R., Okullo, A., Chowdhury, S., Yoon, C., Turner, J. J. 2023; 4 (4)

  View details for DOI 10.1088/2632-2153/ad113a

  View details for Web of Science ID 001126295700001

• Capturing dynamical correlations using implicit neural representations. Nature communications Chitturi, S. R., Ji, Z., Petsch, A. N., Peng, C., Chen, Z., Plumley, R., Dunne, M., Mardanya, S., Chowdhury, S., Chen, H., Bansil, A., Feiguin, A., Kolesnikov, A. I., Prabhakaran, D., Hayden, S. M., Ratner, D., Jia, C., Nashed, Y., Turner, J. J. 2023; 14 (1): 5852

  Abstract

  Understanding the nature and origin of collective excitations in materials is of fundamental importance for unraveling the underlying physics of a many-body system. Excitation spectra are usually obtained by measuring the dynamical structure factor, S(Q, ω), using inelastic neutron or x-ray scattering techniques and are analyzed by comparing the experimental results against calculated predictions. We introduce a data-driven analysis tool which leverages 'neural implicit representations' that are specifically tailored for handling spectrographic measurements and are able to efficiently obtain unknown parameters from experimental data via automatic differentiation. In this work, we employ linear spin wave theory simulations to train a machine learning platform, enabling precise exchange parameter extraction from inelastic neutron scattering data on the square-lattice spin-1 antiferromagnet La2NiO4, showcasing a viable pathway towards automatic refinement of advanced models for ordered magnetic systems.

  View details for DOI 10.1038/s41467-023-41378-4

  View details for PubMedID 37730824

  View details for PubMedCentralID 8662964

• From Stoner to local moment magnetism in atomically thin Cr2Te3. Nature communications Zhong, Y., Peng, C., Huang, H., Guan, D., Hwang, J., Hsu, K. H., Hu, Y., Jia, C., Moritz, B., Lu, D., Lee, J. S., Jia, J. F., Devereaux, T. P., Mo, S. K., Shen, Z. X. 2023; 14 (1): 5340

  Abstract

  The field of two-dimensional (2D) ferromagnetism has been proliferating over the past few years, with ongoing interests in basic science and potential applications in spintronic technology. However, a high-resolution spectroscopic study of the 2D ferromagnet is still lacking due to the small size and air sensitivity of the exfoliated nanoflakes. Here, we report a thickness-dependent ferromagnetism in epitaxially grown Cr2Te3 thin films and investigate the evolution of the underlying electronic structure by synergistic angle-resolved photoemission spectroscopy, scanning tunneling microscopy, x-ray absorption spectroscopy, and first-principle calculations. A conspicuous ferromagnetic transition from Stoner to Heisenberg-type is directly observed in the atomically thin limit, indicating that dimensionality is a powerful tuning knob to manipulate the novel properties of 2D magnetism. Monolayer Cr2Te3 retains robust ferromagnetism, but with a suppressed Curie temperature, due to the drastic drop in the density of states near the Fermi level. Our results establish atomically thin Cr2Te3 as an excellent platform to explore the dual nature of localized and itinerant ferromagnetism in 2D magnets.

  View details for DOI 10.1038/s41467-023-40997-1

  View details for PubMedID 37660171

  View details for PubMedCentralID PMC10475109

• Traces of electron-phonon coupling in one-dimensional cuprates. Nature communications Tang, T., Moritz, B., Peng, C., Shen, Z. X., Devereaux, T. P. 2023; 14 (1): 3129

  Abstract

  The appearance of certain spectral features in one-dimensional (1D) cuprate materials has been attributed to a strong, extended attractive coupling between electrons. Here, using time-dependent density matrix renormalization group methods on a Hubbard-extended Holstein model, we show that extended electron-phonon (e-ph) coupling presents an obvious choice to produce such an attractive interaction that reproduces the observed spectral features and doping dependence seen in angle-resolved photoemission experiments: diminished 3kF spectral weight, prominent spectral intensity of a holon-folding branch, and the correct holon band width. While extended e-ph coupling does not qualitatively alter the ground state of the 1D system compared to the Hubbard model, it quantitatively enhances the long-range superconducting correlations and suppresses spin correlations. Such an extended e-ph interaction may be an important missing ingredient in describing the physics of the structurally similar two-dimensional high-temperature superconducting layered cuprates, which may tip the balance between intertwined orders in favor of uniform d-wave superconductivity.

  View details for DOI 10.1038/s41467-023-38408-6

  View details for PubMedID 37253739

  View details for PubMedCentralID PMC10229634

• Enhanced superconductivity by near-neighbor attraction in the doped extended Hubbard model PHYSICAL REVIEW B Peng, C., Wang, Y., Wen, J., Lee, Y. S., Devereaux, T. P., Jiang, H. 2023; 107 (20)

  View details for DOI 10.1103/PhysRevB.107.L201102

  View details for Web of Science ID 000986820400004

• A Quantum-Inspired Tensor Network Algorithm for Constrained Combinatorial Optimization Problems FRONTIERS IN PHYSICS Hao, T., Huang, X., Jia, C., Peng, C. 2022; 10

  View details for DOI 10.3389/fphy.2022.906590

  View details for Web of Science ID 000837978100001

• Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities Chen, H., Chitturi, S. R., Plumley, R., Shen, L., Drucker, N. C., Burdet, N., Peng, C., Mardanya, S., Ratner, D., Mishra, A., Yoon, C., Song, S., Chollet, M., Fabbris, G., Dunne, M., Nelson, S., Li, M., Lindenberg, A., Jia, C., Nashed, Y., Bansil, A., Chowdhury, S., Feiguin, A. E., Turner, J. J., Thayer, J. B., IEEE IEEE. 2022: 1-9

  View details for DOI 10.1109/XLOOP56614.2022.00006

  View details for Web of Science ID 000968746500001

• Gapless spin liquid and pair density wave of the Hubbard model on three-leg triangular cylinders NEW JOURNAL OF PHYSICS Peng, C., Jiang, Y., Wang, Y., Jiang, H. 2021; 23 (12)

  View details for DOI 10.1088/1367-2630/ac3a83

  View details for Web of Science ID 000725233200001

• Precursor of pair-density wave in doping Kitaev spin liquid on the honeycomb lattice NPJ QUANTUM MATERIALS Peng, C., Jiang, Y., Devereaux, T. P., Jiang, H. 2021; 6 (1)

  View details for DOI 10.1038/s41535-021-00363-0

  View details for Web of Science ID 000669205300001

• Doping Quantum Spin Liquids on the Kagome Lattice ADVANCED QUANTUM TECHNOLOGIES Peng, C., Jiang, Y., Sheng, D., Jiang, H. 2021

  View details for DOI 10.1002/qute.202000126

  View details for Web of Science ID 000612458300001