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๐Ÿ” jonathan long ๐Ÿ“‚ Chemistry
Showing 2041 results for "jonathan long" in Chemistry
Chemistry Preprint PDF DOI

Stepping up enhanced rate calculations with EATR-flooding

Nicodemo Mazzaferro, Willmor J Pena Ccoa, Pilar Cossio, Glen M. Hocky ยท 2026

Several recent methods have shown that it is possible to compute rate constants of very slow biomolecular processes using simulations where a time-dependent bias is added along one or several collectiโ€ฆ

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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

A density-functional perspective on force fields

Nan Sheng ยท 2026

Force fields are usually formulated directly in nuclear configuration space, whereas density functional theory is naturally formulated in terms of external potentials, densities, and variational dualiโ€ฆ

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Chemistry Preprint PDF DOI

Thermal conductivity of aligned polymers with kinks

Igor V. Parshin, Igor V. Rubtsov, Alexander L. Burin ยท 2026

Thermal conductivity of aligned polymer molecules can be exceptionally high along the alignment direction due to energy transport through strong covalent bonds. At the same time, it is highly sensitivโ€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

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

Charge order, domain order, ideal mixing and absence of demixing in 2D binary mixtures of alcohols

Lydia Chelli, Aurelien Perera ยท 2026

Binary mixtures of two dimensional, site-based models of alcohols are investigated by computer simulations, with a focus on ideal mixing, local clustering and miscibility trends. Four representative sโ€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

Performance of Quadrupole Mass Filter with Tapered and Flared Geometry

Anushree Dutta, Pintu Mandal, Nabanita Deb ยท 2026

The performance of a quadrupole mass filter (QMF) is highly sensitive to deviations from ideal electrode geometry. In this work, we investigate the effect of small inward and outward tilting of cylindโ€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

Restoring the Conical Intersection Topology using Convex Density Functional Theory

Federico Rossi, Tommaso Giovannini, Henrik Koch ยท 2026

Conical intersections are central to the description of photophysics and photochemistry. Nevertheless, in non-adiabatic molecular dynamics simulations, they are fundamentally challenging for single-reโ€ฆ

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Chemistry Preprint PDF DOI

Chromatographic Peak Shape from a Stochastic-Diffusive Model with Multiple Retention Mechanisms: Analytic Time-Domain Expression and Derivatives

Hernan R. Sanchez ยท 2026

A time-domain analytic expression for chromatographic peak shapes is derived within a stochastic-diffusive framework that incorporates axial diffusion (molecular and multipath/Eddy), finite initial spโ€ฆ

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Chemistry Preprint PDF DOI

A Chemical Space Perspective on Diastereomeric Barriers in Alkylperoxy-to-Hydroperoxyalkyl Isomerization

Raghunathan Ramakrishnan ยท 2026

Low-temperature hydrocarbon autooxidation involves radical intermediates whose reactivity depends not only on the stereochemistry of the intermediates themselves, but also on that of the transient speโ€ฆ

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Chemistry Preprint PDF DOI

Geminal wavefunction models in chemistry

Pratiksha Gaikwad, Krisztina Zsigmond, Ramon Alain Miranda-Quintana ยท 2026

Geminal wavefunctions, introduced in the late 1950s, have long been recognized for their ability to compactly capture strong electron correlation. Despite their promise, they were historically overshaโ€ฆ

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Chemistry Preprint PDF DOI

Multi-reference GW approximation for strongly correlated molecules

Yuqi Wang, Wei-Hai Fang, Zhendong Li ยท 2026

The GW approximation is a cornerstone of many-body perturbation theory for computing single-particle excitations, yet it fundamentally breaks down in strongly correlated systems where the single-referโ€ฆ

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Chemistry Preprint PDF DOI

Interfacial Electric Fields in Water Nanodroplets are Weakly Dependent on Curvature and pH

Gabriele Amante, Fortunata Panzera, Gabriele Centi, Jing Xie, Ali Hassanali, A. Marco Saitta, Giuseppe Cassone ยท 2026

The origin of enhanced reactivity in aqueous microdroplets remains debated, with interfacial electric fields (IEFs) often invoked as catalytic drivers. Here, we provide a quantum-mechanical, spatiallyโ€ฆ

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Chemistry Preprint PDF DOI

Ion-Specific Anomalous Water Diffusion in Aqueous Electrolytes: A Machine-Learned Many-Body Force Field Study with MACE

Massimo Ciacchi, Ilnur Saitov, Nico Di Fonte, Isabella Daidone, Carlo Pierleoni ยท 2026

The dynamics of water in electrolyte solutions exhibits a striking, ion-specific anomaly: the diffusion coefficient of water is enhanced relative to the neat liquid in chaotropic CsI solutions, yet suโ€ฆ

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Chemistry Preprint PDF DOI

Integral-equation analysis of transient diffusion-limited currents at disk electrodes: Asymptotic expansion and compact approximation

Kazuhiko Seki, Yuko Yokoyama, Masahiro Yamamoto ยท 2026

The transient diffusion-limited current at a disk electrode following a change in interfacial ion concentration induced by a potential step is analyzed with direct relevance to chronoamperometric measโ€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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