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๐Ÿ” wei chen ๐Ÿ“‚ Chemistry
Showing 800 results for "wei 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

Physics-based modeling of cyclic and calendar aging of LIBs with Si-Gr composite anodes

Micha C. J. Philipp, Lukas Kobbing, Alexander Karger, Andreas Jossen, Arnulf Latz, Birger Horstmann ยท 2026

Higher energy density and longer lifetime are the requirements for next-generation lithium-ion batteries. A promising anode material is silicon, which offers high specific capacity, but its significanโ€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

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

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

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

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

On the performance of QTP functionals applied to second-order response properties II: Dynamic polarizability and long-range C$_6$ coefficients

Rodrigo A. Mendes, Peter R. Franke, Ajith Perera, Rodney J. Bartlett ยท 2026

This work is the second in the series "On the performance of QTP functionals applied to second-order response properties." In the first paper (J. Chem. Phys. 162, 054105, 2025), we demonstrated the goโ€ฆ

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Chemistry Preprint PDF DOI

Systematically Improvable Numerical Atomic Orbital Basis Using Contracted Truncated Spherical Waves

Yike Huang, Zuxin Jin, Linfeng Zhang, Mohan Chen, Rui Chen, Ling Li ยท 2026

To solve the Kohn-Sham equation within the framework of density functional theory, we develop a scheme to construct numerical atomic orbital (NAO) basis sets by contracting truncated spherical waves (โ€ฆ

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Chemistry Preprint PDF DOI

A Primary Unified Geometric Framework of Molecular Reaction Dynamics Based on the Variational Principle

Xingyu Zhang, Jinke Yu, Qingyong Meng ยท 2026

This work describes a geometric framework on molecular reaction dynamics based on the variational principle, where the Schr{\"o}dinger equation must be solved to ``see'' how a reaction occurs. First, โ€ฆ

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Chemistry Preprint PDF DOI

ChemFlow:A Hierarchical Neural Network for Multiscale Representation Learning in Chemical Mixtures

Jinming Fan, Chao Qian, Wilhelm T. S. Huck, William E. Robinson, Shaodong Zhou ยท 2026

Accurate prediction of the physicochemical properties of molecular mixtures using graph neural networks remains a significant challenge, as it requires simultaneous embedding of intramolecular interacโ€ฆ

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Chemistry Preprint PDF DOI

Hybrid Machine Learning for Enhanced Prediction of Diffusion Coefficients in Liquids

Jens Wagner, Zeno Romero, Kerstin Munnemann, Sebastian Schmitt, Thomas Specht, Hans Hasse, Fabian Jirasek ยท 2026

Diffusion coefficients are key thermophysical properties for modeling mass transport in liquids, but experimental data are scarce, making reliable prediction methods indispensable. In the present workโ€ฆ

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Chemistry Preprint PDF DOI

From Static Spectra to Operando Infrared Dynamics: Physics Informed Flow Modeling and a Benchmark

Shuquan Ye, Ben Fei, Hongbin Xu, Jiaying Lin, Wanli Ouyang ยท 2026

The Solid Electrolyte Interphase (SEI) is critical to the performance of lithium-ion batteries, yet its analysis via Operando Infrared (IR) spectroscopy remains experimentally complex and expensive, wโ€ฆ

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Chemistry Preprint PDF DOI

Vibrational infrared and Raman spectra of the methanol molecule with equivariant neural-network property surfaces

Ayaki Sunaga, Albert P. Bartok, Edit Matyus ยท 2026

Electric dipole and polarizability surfaces are developed for the methanol (CH$_3$OH) molecule using ab initio electronic structure data, computed at the CCSD/aug-cc-pVTZ level of theory, and equivariโ€ฆ

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Chemistry Preprint PDF DOI

Clever Materials: When Models Identify Good Materials for the Wrong Reasons

Kevin Maik Jablonka ยท 2026

Machine learning can accelerate materials discovery. Models perform impressively on many benchmarks. However, strong benchmark performance does not imply that a model learned chemistry. I test a concrโ€ฆ

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Chemistry Preprint PDF DOI

Identification of Solid-Electrolyte Interphase Species by Joint Characterization of Li-ion Battery Chemistry by Mass Spectrometry and Electro-Chemical Reaction Networks

Mona Abdelgaid, Oliver Hvidsten, Theo Sombret, Egon Kherchiche, Julien Maillard, Antonin Gajan, Patrick Bernard, Kamila Kazmierczak, Mauricio Araya-Polo, Germain Salvato Vallverdu, Carlos Afonso, Pierre Giusti, Kristin A. Persson ยท 2026

The formation and stability of the solid electrolyte interphase (SEI) play a central role in determining the long-term performance and safety of modern electrochemical energy storage systems. Despite โ€ฆ

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