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We report the development and benchmark of multireference algebraic diagrammatic construction theory (MR-ADC) for the simulations of core-excited states and X-ray absorption spectra (XAS). Our work features an implementation that…

化学物理 · 物理学 2024-01-23 Ilia M. Mazin , Alexander Yu. Sokolov

We present a new theoretical approach for the simulations of X-ray photoelectron spectra of strongly correlated molecular systems that combines multireference algebraic diagrammatic construction theory (MR-ADC) [J. Chem. Phys., 2018, 149,…

化学物理 · 物理学 2022-05-31 Carlos E. V. de Moura , Alexander Yu. Sokolov

We present algebraic diagrammatic construction theory for simulating spin-orbit coupling and electron correlation in charged electronic states and photoelectron spectra. Our implementation supports Hartree-Fock and multiconfigurational…

化学物理 · 物理学 2025-05-12 Rajat Majumder , Alexander Yu. Sokolov

We present an implementation and benchmark of new approximations in multireference algebraic diagrammatic construction theory for simulations of neutral electronic excitations and UV/Vis spectra of strongly correlated molecular systems…

化学物理 · 物理学 2021-12-02 Ilia M. Mazin , Alexander Yu. Sokolov

We report a new implementation of multireference algebraic diagrammatic construction theory (MR-ADC) for simulations of electron attachment and ionization in strongly correlated molecular systems (EA/IP-MR-ADC). Following our recent work on…

化学物理 · 物理学 2021-01-19 Koushik Chatterjee , Alexander Yu. Sokolov

We present a second-order formulation of multi-reference algebraic diagrammatic construction theory [Sokolov, A. Yu. J. Chem. Phys. 2018, 149, 204113] for simulating photoelectron spectra of strongly correlated systems (MR-ADC(2)). The…

化学物理 · 物理学 2020-07-28 Koushik Chatterjee , Alexander Yu. Sokolov

Accurate simulations of transient X-ray photoelectron spectra (XPS) provide unique opportunities to bridge the gap between theory and experiment in understanding the photoactivated dynamics in molecules and materials. However, simulating…

化学物理 · 物理学 2024-06-19 Nicholas P. Gaba , Carlos E. V. de Moura , Rajat Majumder , Alexander Yu. Sokolov

We present the first-ever implementation and benchmark of periodic algebraic diagrammatic construction theory (ADC) for core-ionized states and X-ray photoelectron spectra (XPS) in crystalline materials. Using a triple-zeta Gaussian basis…

材料科学 · 物理学 2026-02-24 Abdelrahman M. Ahmed , Alexander Yu. Sokolov

We present a multi-reference generalization of the algebraic diagrammatic construction theory (ADC) [J. Schirmer, Phys. Rev. A 26, 2395 (1982)] for excited electronic states. The resulting multi-reference ADC approach (MR-ADC) can be…

化学物理 · 物理学 2018-12-27 Alexander Yu. Sokolov

We present an efficient implementation of the second- and third-order single-reference algebraic diagrammatic construction theory for electron attachment (EA) and ionization (IP) energies and spectra (EA/IP-ADC(n), n = 2, 3). Our new…

化学物理 · 物理学 2021-07-12 Samragni Banerjee , Alexander Yu. Sokolov

Theoretical simulations of electron detachment processes are vital for understanding chemical redox reactions, semiconductor and electrochemical properties, and high-energy radiation damage. However, accurate calculations of ionized…

化学物理 · 物理学 2025-02-06 James D. Serna , Alexander Yu. Sokolov

We present an efficient relativistic implementation of algebraic diagrammatic construction (ADC) theory up to third order for the treatment of electronic ionization potentials (IP), electron affinities (EA), and excitation energies (EE) in…

化学物理 · 物理学 2026-01-27 Sudipta Chakraborty , Kamal Majee , Achintya Kumar Dutta

Algebraic diagrammatic construction (ADC) theory is a computationally efficient and accurate approach for simulating electronic excitations in chemical systems. However, for the simulations of excited states in molecules with unpaired…

化学物理 · 物理学 2022-11-15 Terrence L. Stahl , Samragni Banerjee , Alexander Yu. Sokolov

We present the first implementation and applications of non-Dyson algebraic diagrammatic construction theory for charged excitations in three-dimensional periodic solids (EA/IP-ADC). The EA/IP-ADC approach has a computational cost similar…

材料科学 · 物理学 2022-11-15 Samragni Banerjee , Alexander Yu. Sokolov

Charged excitations are electronic transitions that involve a change in the total charge of a molecule or material. Understanding the properties and reactivity of charged species requires insights from theoretical calculations that can…

化学物理 · 物理学 2023-06-16 Samragni Banerjee , Alexander Yu. Sokolov

We present an efficient implementation of the second-order two-component relativistic core-valence-separated algebraic diagrammatic construction method (CVS-ADC(2)) for core-excitation calculations. The approach employs state-averaged…

化学物理 · 物理学 2026-05-01 Somesh Chamoli , Sudipta Chakraborty , Xubo Wang , Achintya Kumar Dutta

We present an efficient implementation of a one-step relativistic second-order multireference perturbation theory based on the multireference driven similarity renormalization group (MR-DSRG) using the exact two-component (X2C) Hamiltonian,…

化学物理 · 物理学 2026-05-13 Zijun Zhao , Francesco A. Evangelista

We formulate and implement the core-valence separated multireference equation-of-motion driven similarity renormalization group method (CVS-IP-EOM-DSRG) for simulating X-ray photoelectron spectra (XPS) of strongly correlated molecular…

化学物理 · 物理学 2025-09-29 Shuhang Li , Zijun Zhao , Francesco A. Evangelista

We present implementation of second- and third-order algebraic diagrammatic construction theory for efficient and accurate computations of molecular electron affinities (EA), ionization potentials (IP), and densities of states…

化学物理 · 物理学 2020-07-28 Samragni Banerjee , Alexander Yu. Sokolov

Algebraic diagrammatic construction (ADC) is a computationally efficient approach for simulating excited electronic states, absorption spectra, and electron correlation. Due to their origin in perturbation theory, the single-reference ADC…

化学物理 · 物理学 2024-06-19 Terrence L. Stahl , Alexander Yu. Sokolov
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