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๐Ÿ” patrick xia ๐Ÿ“‚ Chemistry
Showing 1410 results for "patrick xia" in Chemistry
Chemistry Preprint PDF DOI

DFT-assisted natural abundance 13C zero-field NMR via optical magnetometry

Blake Andrews, Xiao Liu, Raphael Zumbrunn, Calvin Lee, Sahand Adibnia, Emanuel Druga, Martin Head-Gordon, Ashok Ajoy ยท 2026

Zero-field (ZF) nuclear magnetic resonance (NMR) spectroscopy probes scalar J-couplings between nuclei while dispensing with large homogeneous magnetic fields, enabling low-cost and geometrically flexโ€ฆ

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Chemistry Preprint PDF DOI

Accelerated Surface Hopping via Scaling the Spin--Orbit Coupling: Opportunities for Machine Learning

Jakub Martinka, Mahesh Kumar Sit, Pavlo O. Dral, Jiri Pittner ยท 2026

Surface hopping (SH) methods are typically employed to simulate ultrafast nonadiabatic processes, but long timescales often remain beyond their reach. To address this, accelerated SH scheme mitigate tโ€ฆ

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Chemistry Preprint PDF DOI

Vib2Conf: AI-driven discrimination of molecular conformations from vibrational spectra

Xin-Yu Lu, De-Yi Lin, Tong Zhu, Bin Ren, Hao Ma, Guo-Kun Liu ยท 2026

Retrieving or generating two-dimensional molecular structures on the basis of vibrational spectra has been well demonstrated via deep learning models. However, deciphering three-dimensional molecular โ€ฆ

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Chemistry Preprint PDF DOI

Electronic Final States in Nuclear $\beta$ Decay: A Sudden-Approximation Framework

G. V. D'yakonov ยท 2026

Electronic final states generated by sudden changes of the Hamiltonian are studied here, with emphasis on nuclear charge variation in $\beta$ decay. A $\lambda$-parametrized family $\hat H(\lambda)$ tโ€ฆ

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Chemistry Preprint PDF DOI

Broadband impulsive stimulated Raman spectroscopy reveals electronic state-specific vibronic coupling and vibrational coherence transfer through nonadiabatic electronic coupling

Ramandeep Kaur, Shaina Dhamija, Garima Bhutani, Amit Kumar, Arijit K. De ยท 2026

Vibrational wavepacket dynamics in the ground (X) and excited (B) electronic states of iodine under impulsive-pump/broadband-probe excitation are revisited. A method for accurate chirp correction, necโ€ฆ

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Chemistry Preprint PDF DOI

DeepHartree: A Poisson-Coupled Neural Field for Scalable Density Functional Theory

Jiankun Wu, Jinming Fan, Chao Qian, Shaodong Zhou ยท 2026

Ab initio calculations are fundamentally bottlenecked for large systems by the steep computational scaling of solving self-consistent field (SCF) equations. While machine learning offers potential accโ€ฆ

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Chemistry Preprint PDF DOI

Dynamically Corrected Bethe-Salpeter Equation Solver for Self-consistent $GW$ Reference on the Matsubara Frequency Axis

Ming Wen, Gaurav Harsha, Dominika Zgid ยท 2026

We present a Bethe-Salpeter equation (BSE) solver based on a self-consistent $GW$ reference evaluated on the Matsubara frequency axis, referred to as BSE@sc$GW$. The self-consistent $GW$ starting poinโ€ฆ

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Chemistry Preprint PDF DOI

Predicting Solvation Free Energies of Molecules and Ions via First-Principles and Machine-Learning Molecular Dynamics

Junting Yu, Shuo-Hui Li, Ding Pan ยท 2026

The solvation free energy (SFE) of molecules and ions is a fundamental property governing their solvation behavior and solubility. Molecular simulations offer a route to compute SFEs using alchemical โ€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

Toward Accurate RIXS Spectra at Heavy Element Edges: A Relativistic Four-Component and Exact Two-Component TDDFT Approach

Lukas Konecny, Muhammed A. Dada, Daniel R. Nascimento, Michal Repisky ยท 2026

We present a relativistic time-dependent density functional theory (TDDFT) approach for the simulation of resonant inelastic X-ray scattering (RIXS) spectra, based on both a full four-component (4c) Dโ€ฆ

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Chemistry Preprint PDF DOI

Free energy differences and coexistence of clathrate structures II and H via lattice-switch Monte Carlo

Olivia S. Moro, Nigel B. Wilding, Vincent Ballenegger ยท 2026

We introduce a simulation technique to compute the free energy difference between two hydrate structures of different stoichiometry connected to a reservoir of gas molecules at a prescribed pressure. โ€ฆ

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Chemistry Preprint PDF DOI

Exact tunneling splittings of rotationally excited states from symmetrized path-integral molecular dynamics

Lea Zupan, Yu-Chen Wang, Jeremy O. Richardson ยท 2026

We extend our previous symmetrized path-integral molecular dynamics approach to calculate tunneling splittings of molecules in rotationally excited states. In this new formalism, the system is rigorouโ€ฆ

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Chemistry Preprint PDF DOI

CovAngelo: A hybrid quantum-classical computing platform for accurate and scalable drug discovery

Linn Evenseth, Kamil Galewski, Witold Jarnicki, Piero Lafiosca, Vyom N. Patel, Grzegorz Rajchel-Mieldzioc, Martin Simka, Micha{l} Szczepanik, Emil Zak ยท 2026

We present a computational platform for modeling chemical reactions in complex molecular environments, focused on ligand-protein binding in drug discovery. The platform implements our new quantum-in-qโ€ฆ

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Chemistry Preprint PDF DOI

FermiLink: A Unified Agent Framework for Multidomain Autonomous Scientific Simulations

Gang Meng, Andres Felipe Bocanegra Vargas, Xinwei Ji, Federico Garcia-Gaitan, Felipe Reyes-Osorio, Jalil Varela-Manjarres, Yafei Ren, Mohammadhasan Dinpajooh, Branislav K. Nikolic, Tao E. Li ยท 2026

Artificial-intelligence (AI) agent frameworks have been developed for autonomous scientific simulations, but most current agent frameworks are tailored to a single or a small set of software packages.โ€ฆ

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Chemistry Preprint PDF DOI

Low-Scaling Many-Body Green's Function Calculations for Molecular Systems via Interacting-Bath Dynamical Embedding Theory

Christian Venturella, Jiachen Li, Tianyu Zhu ยท 2026

We present a molecular extension of our recently proposed Green's function embedding method, interacting-bath dynamical embedding theory (ibDET), for computing charged excitation energies at the $GW$ โ€ฆ

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Chemistry Preprint PDF DOI

VIANA: character Value-enhanced Intensity Assessment via domain-informed Neural Architecture

Luana P. Queiroz, Icaro S. C. Bernardes, Ana M. Ribeiro, Bernardo M. Aguilera-Mercado, Idelfonso B. R. Nogueira ยท 2026

Predicting the perceived intensity of odorants remains a fundamental challenge in sensory science due to the complex, non-linear behavior of their response, as well as the difficulty in correlating moโ€ฆ

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Chemistry Preprint PDF DOI

Quantum Sensing with Triplet Pair States: A Theoretical Study

Maria Grazia Concilio, Yiwen Wang, Siyuan Wang, Xueqian Kong ยท 2026

Molecular quantum sensors represent a promising frontier for the detection of nuclear magnetic resonance signals and alternating current magnetic fields at the nanoscale, potentially reaching single-pโ€ฆ

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Chemistry Preprint PDF DOI

Hunting for quantum advantage in electronic structure calculations is a highly non-trivial task

Ors Legeza, Andor Menczer, Miklos Antal Werner, Sotiris S. Xantheas, Frank Neese, Martin Ganahl, Cole Brower, Samuel Rodriguez Bernabeu, Jeff Hammond, John Gunnels ยท 2026

In light of major developments over the past decades in both quantum computing and simulations on classical hardware, it is a serious challenge to identify a real-world problem where quantum advantageโ€ฆ

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Chemistry Preprint PDF DOI

A Priori Sampling of Transition States with Guided Diffusion

Hyukjun Lim, Soojung Yang, Lucas Pinede, Miguel Steiner, Yuanqi Du, Rafael Gomez-Bombarelli ยท 2026

Transition states, the first-order saddle points on the potential energy surfaces, govern the kinetics and mechanisms of chemical reactions and conformational changes. Locating them is challenging becโ€ฆ

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Chemistry Preprint PDF DOI

Automating Computational Chemistry Workflows via OpenClaw and Domain-Specific Skills

Mingwei Ding, Chen Huang, Yibo Hu, Yifan Li, Zitian Lu, Xingtai Yu, Duo Zhang, Wenxi Zhai, Tong Zhu, Qiangqiang Gu, Jinzhe Zeng ยท 2026

Automating multistep computational chemistry tasks remains challenging because reasoning, workflow specification, software execution, and high-performance computing (HPC) execution are often tightly cโ€ฆ

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