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green’s function formulation of quantum defect embedding theory  (Vorwerk Elektrowerke GmbH Co KG)

 
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    Vorwerk Elektrowerke GmbH Co KG green’s function formulation of quantum defect embedding theory
    Green’s Function Formulation Of Quantum Defect Embedding Theory, supplied by Vorwerk Elektrowerke GmbH Co KG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/greens+function/quantum+embedding+theories/pm40102064-190-11-6
    Average 90 stars, based on 1 article reviews
    green’s function formulation of quantum defect embedding theory - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: Strongly Correlated States of Transition Metal Spin Defects: The Case of an Iron Impurity in Aluminum Nitride.
    Article Snippet: 2023, 19, 8689−8705. (13) Vorwerk, C.; Sheng, N.; Govoni, M.; Huang, B.; Galli, G. Quantum embedding theories to simulate condensed systems on quantum computers.

    Article Title: A Quantum Computational Method for Corrosion Inhibition.
    Article Snippet: Furthermore, the embedding approach by Vorwerk and co-workers30 is based on the Green’s function rather than on the density or density matrix, thus containing a beyond-mean-field treatment of the environment portion that is most developed in solid-state systems.

    Article Title: A Quantum Computational Method for Corrosion Inhibition.
    Article Snippet: XXXX, XXX, XXX−XXX M (30) Vorwerk, C.; Sheng, N.; Govoni, M.; Huang, B.; Galli, G. Quantum Embedding Theories to Simulate Condensed Systems on Quantum Computers.

    Article Title: Enhancing Initial State Overlap through Orbital Optimization for Faster Molecular Electronic Ground-State Energy Estimation
    Article Snippet: [26] C. Vorwerk, N. Sheng, M. Govoni, B. Huang, and G. Galli, Quantum embedding theories to simulate condensed systems on quantum computers, Nat.

    Article Title: Calculating the Energy Profile of an Enzymatic Reaction on a Quantum Computer.
    Article Snippet: 2022, 13, 8953−8962. (51) Vorwerk, C.; Sheng, N.; Govoni, M.; Huang, B.; Galli, G. Quantum embedding theories to simulate condensed systems on quantum computers.

    Article Title: Modeling Heterogeneous Catalysis Using Quantum Computers: An Academic and Industry Perspective.
    Article Snippet: Heterogeneous catalysis plays a critical role in many industrial processes, including the production of fuels, chemicals, and pharmaceuticals, and research to improve current catalytic processes is important to make the chemical industry more sustainable.. Despite its importance, the challenge of identifying optimal catalysts with the required activity and selectivity persists, demanding a detailed understanding of the complex interactions between catalysts and reactants at various length and time scales.. Density functional theory (DFT) has been the workhorse in modeling heterogeneous catalysis for more than three decades.

    Formulation:

    Article Title: Strongly Correlated States of Transition Metal Spin Defects: The Case of an Iron Impurity in Aluminum Nitride.
    Article Snippet: .. 2020, 6, 85. (7) Sheng, N.; Vorwerk, C.; Govoni, M.; Galli, G. Green’s function formulation of quantum defect embedding theory. ..

    Article Title: Core Binding Energy Calculations: A Scalable Approach with the Quantum Embedding-Based Equation-of-Motion Coupled-Cluster Method.
    Article Snippet: We investigated the use of density matrix embedding theory to facilitate the computation of core ionization energies (IPs) of large molecules at the equation-ofmotion coupled-cluster singles doubles with perturbative triples (EOM-CCSD*) level in combination with the core−valence separation (CVS) approximation.. The unembedded IP-CVS-EOM-CCSD* method with a triple-ζ basis set produced ionization energies within 1 eV of experiment with a standard deviation of ∼0.2 eV for the core65 data set.. The embedded variant contributed very little systematic error relative to the unembedded method, with a mean unsigned error of 0.07 eV and a standard deviation of ∼0.1 eV, in exchange for accelerating the calculations by many orders of magnitude.



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