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Showing 1190 results for "john chen" in Chemistry
Chemistry Preprint PDF DOI

Experimentally Accurate Graph Neural Network Predictions of Core-Electron Binding Energies

Adam E. A. Fouda, Joshua Zhou, Rodrigo Ferreira, Patrick Phillips, Valay Agarawal, Bhavnesh Jangid, Jacob J. Wardzala, Rui Ding, Junhong Chen, Nicole Tebaldi, Phay J. Ho, Laura Gagliardi, Linda Young ยท 2026

Graph neural network architectures are advantageous for predicting core-electron binding energies which depend on local bond environment effects, as the number of message passing layers defines the toโ€ฆ

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Chemistry Preprint PDF DOI

Enhancing molecular dynamics with equivariant machine-learned densities

Mihail Bogojeski, Muhammad R. Hasyim, Leslie Vogt-Maranto, Klaus-Robert Muller, Kieron Burke, Mark E. Tuckerman ยท 2026

Machine-learning interatomic potentials (MLIPs) have enabled molecular dynamics at near ab initio accuracy, yet remain limited to energies and forces by construction, leaving electronic observables suโ€ฆ

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Chemistry Preprint PDF DOI

Engineering molecular potential energy surfaces using magnetic cavity quantum electrodynamics

Lukas Weber, Leonardo dos Anjos Cunha, Johannes Flick, Shiwei Zhang ยท 2026

We investigate the effects of coupling a quantum-magnetic cavity field to molecules. Our high-precision auxiliary-field quantum Monte Carlo calculations capture the effect of the cavity field in the pโ€ฆ

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Chemistry Preprint PDF DOI

Spin-cavity interactions in relativistic Jahn-Teller systems under strong light-matter coupling

Eric W. Fischer, Michael Roemelt ยท 2026

We extend our recent work on the cavity-modified spin Zeeman effect of an effective spin-1/2-system[J. Chem. Phys. 163, 174307 (2025)] to a relativistic Jahn-Teller scenario under strong light-matter โ€ฆ

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Chemistry Preprint PDF DOI

Ensemble density functional theory of excited states: Exact N-centered formalism and practical opportunities

Lucien Dupuy, Toni Chiti, Jeremy Morere, Emmanuel Fromager ยท 2026

Ground-state electronic structure calculations using Kohn-Sham density functional theory (KS-DFT) offer an unprecedented balance between efficiency and accuracy, now paradigmatic to the fields of quanโ€ฆ

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Chemistry Preprint PDF DOI

Experimental proof of strong $\Pi$-$\Sigma$ mixing in the Renner-Teller and Pseudo-Jahn-Teller affected CCH$^+$ ($^3\Pi$) ion

Kim Steenbakkers, P. Bryan Changala, Weslley G. D. P. Silva, John F. Stanton, Filippo Lipparini, Jurgen Gauss, Oskar Asvany, Gerrit C. Groenenboom, Britta Redlich, Stephan Schlemmer, Sandra Brunken ยท 2026

The ethynyl radical cation, CCH$^+$ ($^3\Pi$), offers a unique system for fundamental spectroscopic studies of non-adiabatic effects due to its open-shell linear structure and the presence of a low-lyโ€ฆ

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Chemistry Preprint PDF DOI

Accessing the performance of CC2 for excited state dynamics: a benchmark study with pyrazine

Rui-Hao Bi, Chongxiao Zhao, Ruixin Sun, Wenjie Dou ยท 2026

In this work, we access the performance of RI-CC2 for ultrafast internal conversion using pyrazine as a benchmark system. We implement analytical gradients and nonadiabatic coupling vectors for RI-CC2โ€ฆ

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Chemistry Preprint PDF DOI

PyGSC: A Python tool for correcting Kohn-Sham orbital energies by mitigating the delocalization error of density functional approximations

Zipeng An, Xiaolong Yang, Xiao Zheng, Weitao Yang ยท 2026

Density functional approximations (DFAs) suffer from delocalization error, which limits their accuracy in predicting electron affinities (EAs), ionization potentials (IPs), and quasiparticle energies.โ€ฆ

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Chemistry Preprint PDF DOI

Geometric Phase Effect in Thermodynamic Properties and in the Imaginary-Time Multi-Electronic-State Path Integral Formulation

Yu Zhai, Youhao Shang, Jian Liu ยท 2026

The geometric phase (GP) is a fundamental quantum effect arising from conical intersections (CIs), with profound consequences for vibronic energy levels. Standard imaginary-time path integral moleculaโ€ฆ

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Chemistry Preprint PDF DOI

Implementation of the multigrid Gaussian-Plane-Wave algorithm with GPU acceleration in PySCF

Rui Li, Xing Zhang, Qiming Sun, Yuanheng Wang, Junjie Yang, Garnet Kin-Lic Chan ยท 2026

We introduce a GPU-accelerated multigrid Gaussian-Plane-Wave density fitting (FFTDF) approach for efficient Fock builds and nuclear gradient evaluations within Kohn-Sham density functional theory, as โ€ฆ

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Chemistry Preprint PDF DOI

A unified variational framework for the inverse Kohn-Sham problem

Nan Sheng ยท 2026

The inverse Kohn-Sham (KS) problem seeks a local effective potential whose noninteracting ground state reproduces a prescribed electron density. Existing inversion formulations are often expressed in โ€ฆ

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Chemistry Preprint PDF DOI

Exact density-functional theory as parallel ensemble variational hierarchies: from Lieb's formulation to Kohn-Sham theory

Nan Sheng ยท 2026

Exact density-functional theory is reconstructed here from its convex variational structure as two parallel exact ensemble hierarchies: an interacting hierarchy rooted in Lieb's ensemble formulation aโ€ฆ

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Chemistry Preprint PDF DOI

Ab Initio Simulation of Femtosecond Time-Resolved Multi-Pulse Spectroscopies applied to the Heptazine$\cdots$H$_2$O Complex

Sebastian V. Pios, Maxim F. Gelin, Wolfgang Domcke, Lipeng Chen ยท 2026

In multi-dimensional time-resolved spectroscopic experiments, multiple (more than two) short laser pulses with variable pulse delay times are employed for the time-resolved exploration of the photoindโ€ฆ

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Chemistry Preprint PDF DOI

Stable, Fast, and Accurate Kohn-Sham Inversion in Gaussian Basis for Open Shell Molecular and Condensed Phase Systems via Density Matrix Penalization

Ziwei Chai, Sandra Luber ยท 2026

Here we present a density matrix based KS inversion method formulated entirely within a Gaussian basis representation to optimize a KS potential matrix that reproduces a target electron density. Inverโ€ฆ

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Chemistry Preprint PDF DOI

Efficient Coupled-Cluster Python Frameworks for Next-Generation GPUs: A Comparative Study of CuPy and PyTorch on the Hopper and Grace Hopper Architecture

Antonina Dobrowolska, Julian Swierczynski, Pawe{l} Tecmer, Emil Sujkowski, Somayeh Ahmadkhani, Grzegorz Mazur, Klemens Noga, Jeff Hammond, Katharina Boguslawski ยท 2026

In this work, we introduce new batching algorithms to effectively handle large contractions encountered in coupled-cluster singles and doubles (CCSD) implementations in Python on the Video Random Acceโ€ฆ

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Chemistry Preprint PDF DOI

A Lanczos-based algorithm for sum-over-states calculations of NMR spin--spin coupling constants at the RPA level of theory: The Fermi-contact term

Sarah L. V. Zahn, Luna Zamok, Sonia Coriani, Stephan P. A. Sauer ยท 2026

The analysis of nuclear magnetic resonance parameters, such as the indirect nuclear spin-spin coupling constants, in terms of contributions from localised molecular orbitals is a commonly used approacโ€ฆ

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Chemistry Preprint PDF DOI

sbml4md: A computational platform for System-Bath Modeling via Molecular Dynamics powered by Machine Learning

Kwanghee Park, Seiji Ueno, Yoshitaka Tanimura ยท 2026

We introduce sbml4md, a newly developed algorithm implemented as a software package to extract parameters of multimode anharmonic Brownian (MAB) models from molecular dynamics (MD) trajectories for siโ€ฆ

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Chemistry Preprint PDF DOI

TENSO: Software Package for Numerically Exact Open Quantum Dynamics Based on Efficient Tree Tensor Network Decomposition of the Hierarchical Equations of Motion

Juan C. Rodriguez Betancourt, Michelle C. Anderson, Luchang Niu, Xinxian Chen, Ignacio Franco ยท 2026

TENSO is a versatile and powerful open-source software package for numerically exact simulations of the dynamics of quantum systems immersed in structured thermal environments. It is based on a tree tโ€ฆ

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Chemistry Preprint PDF DOI

Comment on "Efficient implementation of the superposition of atomic potentials initial guess for electronic structure calculations in Gaussian basis sets"

Kshitijkumar A. Surjuse, Zhihao Deng, Andrey Asadchev, Edward F. Valeev ยท 2026

In J. Chem. Phys. 152, 144105 (2020) Lehtola et al introduced the efficient Gaussian-basis representation of Superposition of Atomic Potentials (SAP) which "can be easily implemented in any Gaussian-bโ€ฆ

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Chemistry Preprint PDF DOI

Velocity Gauge for Oscillator Strength in $\Delta$SCF theory

Yang Shen, Yichen Fan, Weitao Yang ยท 2026

Delta self-consistent-field ($\Delta$SCF) theory is widely used for electronic excitation energy calculations. However, calculating the corresponding oscillator strengths is challenging. The corresponโ€ฆ

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