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๐Ÿ” tom rainforth ๐Ÿ“‚ Chemistry
Showing 1246 results for "tom rainforth" in Chemistry
Chemistry Preprint PDF DOI

Relativistic Exact-Two-Component Core-Valence-Separated Algebraic Diagrammatic Construction Theory For Near L-edge X-ray Absorption Spectra

Somesh Chamoli, Sudipta Chakraborty, Xubo Wang, Achintya Kumar Dutta ยท 2026

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. Tโ€ฆ

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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

Effect of reaction temperature on nascent carbonaceous particles from toluene shock-tube pyrolysis: Insights from FTIR and Raman spectroscopy

Meysam K. Rezaeian, Can Shao, Jurgen Herzler, Mustapha Fikri, Greg J. Smallwood, Christof Schulz ยท 2026

The transition from gaseous precursors to nascent solid particles and their subsequent structural maturation were investigated in single-pulse shock-tube experiments using ex situ Fourier-transform inโ€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

A Machine-Learned Symbolic Committor for a Chemical Reaction: Retinal Isomerization

Kai Topfer, Gianmarco Lazzeri, Vittoria Ossanna, Florian Renner, Gianluca Lattanzi, Roberto Covino, Bettina G. Keller ยท 2026

The thermal cis-trans isomerization around the C$_{13}$=C$_{14}$ double bond of retinal is a prototypical high-barrier reaction whose mechanism hinges on subtle out-of-plane bending motions. We apply โ€ฆ

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Chemistry Preprint PDF DOI

Molecular dynamics simulations of Nafion thin films at a platinum catalyst surface: Correlating structure with charging behaviour

Dustin Vivod, Binny A. Davis, Tobias Binninger, Michael Eikerling ยท 2026

Electrocatalysis is greatly influenced by the local reaction environment, which is governed by the structure of the catalyst, the distribution of the electrolyte, and the local electric field. In cataโ€ฆ

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Chemistry Preprint PDF DOI

VPT2 Calculations of Vibrational Energies of CH3COOC6H4COOH Done in Seconds on a Laptop Using a Machine Learned Potential

Saikiran Kotaru, Chen Qu, Apurba Nandi, Paul L. Houston, Joel M. Bowman ยท 2026

The determination of quartic force fields for use in vibrational second-order perturbation (VPT2) calculations, currently available in numerous electronic structure packages, becomes very expensive asโ€ฆ

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Chemistry Preprint PDF DOI

EOM-fpCCSD: An Accurate Alternative to EOM-CCSD for Doubly Excited and Charge-Transfer States

Katharina Boguslawski, Pawe{l} Tecmer ยท 2026

We introduce a new equation-of-motion coupled-cluster method based on a pair coupled-cluster doubles (pCCD) reference, termed frozen-pair EOM-CCSD (EOM-fpCCSD). This approach combines the computationaโ€ฆ

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Chemistry Preprint PDF DOI

The BOS-TMC Dataset: DFT Properties of 159k Experimentally Characterized Transition Metal Complexes Spanning Multiple Charge and Spin States

Aaron G. Garrison, Jacob W. Toney, Tatiana Nikolaeva, Roland G. St. Michel, Christopher J. Stein, Heather J. Kulik ยท 2026

We present the Boston Open-Shell Transition Metal Complex (BOS-TMC) dataset, a set of density functional theory (DFT) properties for 159k experimentally characterized mononuclear transition metal compโ€ฆ

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Chemistry Preprint PDF DOI

Explicit Electric Potential-Embedded Machine Learning Framework: A Unified Description from Atomic to Electronic Scales

Jingwen Zhou, Yawen Yu, Xuwei Liu, Chungen Liu ยท 2026

To further develop accurate and large-scale simulations of electrochemical interfaces, we propose a unified explicit electric potential framework to simultaneously predict atomic forces and electron dโ€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

A new framework for atom-resolved decomposition of second-harmonic generation in nonlinear-optical crystals

YingXing Cheng, Congwei Xie, Zhihua Yang, Shili Pan ยท 2026

In this work, we develop a new framework for computing atom-resolved contributions to optical properties based on atoms-in-molecules (AIM) schemes. The formalism is independent of the specific AIM metโ€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

A reduced-cost two-component relativistic equation-of-motion coupled cluster method for the double electron attachment problem

Sujan Mandal, Tamoghna Mukhopadhyay, Achintya Kumar Dutta ยท 2026

We present a computationally efficient relativistic formulation of the equation-of-motion coupled-cluster method for the double electron attachment problem. In this work, the exact two-component Hamilโ€ฆ

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Chemistry Preprint PDF DOI

Reconstruction of missing low-angle scattering in two-dimensional diffraction signal

Yanwei Xiong, Martin Centurion ยท 2026

Anisotropic two-dimensional diffraction signals encode additional structural information, including atom-pair angular distributions, beyond conventional isotropic scattering. However, experimental conโ€ฆ

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Chemistry Preprint PDF DOI

Application of the aperiodic defect model to a negatively charged monovacancy in phosphorene

Charlotte Rickert, Lily Barta, Ernst-Christian Flach, Daniel Kats, Denis Usvyat ยท 2026

We apply the recently introduced aperiodic defect model (ADM) to a negatively charged monovacancy in a phosphorene monolayer. In contrast to conventional supercell approaches, the ADM treats a single โ€ฆ

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Chemistry Preprint PDF DOI

TERS-ABNet: A Deep Learning Approach for Automated Single-Molecule Structure Reconstruction with Atomic Precision from TERS Mapping

Jie Cui, Yao Zhang, Yang Zhang, Yi Luo, Zhen-Chao Dong ยท 2026

Determining the chemical structure for a single molecule on surface from spectroscopic data represents a challenging high-dimensional inverse problem. Tip-enhanced Raman spectroscopy (TERS) enables chโ€ฆ

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Chemistry Preprint PDF DOI

Multi-GPU MBE(3)-OSV-MP2 for Performant Large-Scale ab initio Calculations

Qiujiang Liang, Jun Yang ยท 2026

The computational acceleration of orbital-invariant local correlation methods on graphics processing units (GPUs) has remained largely unexplored due to substantial algorithmic complexities. The runtiโ€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

Carbon black and hydrogen production from methane pyrolysis: measured and modeled insights from integrated gas and particle diagnostics in shock tubes

Gibson Clark, Mohammad Adib, Chengze Li, Taylor M. Rault, Jesse W. Streicher, Enoch Dames, M. Reza Kholghy, Ronald K. Hanson ยท 2026

Methane (CH4) pyrolysis is a promising route to co-produce hydrogen (H2) and carbon black (CB) while avoiding emissions associated with steam-methane reforming and furnace black processes. Model develโ€ฆ

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