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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

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

Errors that matter: Uncertainty-aware universal machine-learning potentials calibrated on experiments

Matthias Kellner, Teitur Hansen, Thomas Bligaard, Karsten Wedel Jacobsen, Michele Ceriotti ยท 2026

Machine-learning models of atomic-scale interactions achieve the accuracy of the quantum mechanical calculations on which they are trained, but at a dramatically lower computational cost. Their predicโ€ฆ

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Chemistry Preprint PDF DOI

Birth, Death, and Replication at Surfaces: Universal Laws of Autocatalytic Dynamics

Denis S. Grebenkov ยท 2026

Autocatalytic processes underlie diverse systems in which replication is triggered at interfaces, including heterogeneous catalysis on solid substrates, enzyme activity at membranes, viral infections,โ€ฆ

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Chemistry Preprint PDF DOI

Tailoring Attosecond Charge Migration in Native Molecular Ions

Evan Munaro-Langloys, Franck Lepine, Victor Despre ยท 2026

Attosecond chemistry involves developing strategies to manipulate electronic coherent waves in molecules, which can influence the outcome of photoinduced reactions. While recent progress in this fieldโ€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

Host-guest co-amorphous structure revealed by the suppression of the first sharp diffraction peak in isotactic poly(4-methyl-1-pentene)

Tomoki Ogihara, Yusuke Hiejima, Ayano Chiba ยท 2026

While host-guest co-crystals are well established, and co-amorphous solids are recognized in materials science, the concept of a host-guest co-amorphous structure remains largely unexplored. A potentiโ€ฆ

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Chemistry Preprint PDF DOI

Surface Plasmons in the Continuum

Mohit Chaudhary, Hans-Christian Weissker, Daniele Toffoli, Mauro Stener, Victor Despre, Franck Rabilloud, Jean Lerme, Rajarshi Sinha-Roy ยท 2026

The interest to foster plasmonic applications at energies in the ultra-violet, has escalated research initiatives in clusters of unconventional plasmonic materials like aluminum and indium,for which tโ€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

Nonlinear signal enhancement of strongly-coupled molecules in pump-probe experiments

Alexander M. McKillop, Marissa L. Weichman ยท 2026

Nonlinear spectroscopy is widely used to study the transient dynamics of molecules under strong light-matter coupling, though it remains unclear to what extent uncoupled intracavity molecules obscure โ€ฆ

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Chemistry Preprint PDF DOI

The correlation discrete variable representation revisited

Uwe Manthe ยท 2026

The correlation discrete variable representation (CDVR) enables efficient quantum dynamics calculation with the multi-layer multi-configurational time-dependent Hartree (MCTDH) approach on general potโ€ฆ

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Chemistry Preprint PDF DOI

Permeation of hydrogen across graphdiyne: molecular dynamics vs. quantum simulations and role of membrane motion

Mateo Rodriguez, Jose Campos-Martinez, Marta I. Hernandez ยท 2026

Previous research based on electronic structure calculations and molecular dynamics (MD) simulations have demonstrated that graphdiyne (GDY) is a very suitable two-dimensional membrane for the separatโ€ฆ

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Chemistry Preprint PDF DOI

Molecular dynamics simulation of high slip flow of water confined between graphene nanochannels at experimentally accessible strain rates

Carmelo Civello, Luca Maffioli, Edward Smith, James Ewen, Peter Daivis, Daniele Dini, Billy Todd ยท 2026

The transient time correlation function method (TTCF) has emerged as a powerful methodology for accurately probing systems at low shear rates. In the present study, TTCF was used to evaluate the shearโ€ฆ

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Chemistry Preprint PDF DOI

In situ Learning-Based Spin Engineering of Pulsed Dynamic Nuclear Polarization

Filip V. Jensen, Jose P. Carvalho, Nino Wili, Asbjorn Holk Thomsen, David L. Goodwin, Lukas Trottner, Claudia Strauch, Anders Bodholt Nielsen, Niels Chr. Nielsen ยท 2026

Pulsed Dynamic Nuclear Polarization (DNP) is currently receiving substantial interest as a means to enhance the sensitivity of nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI) by โ€ฆ

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Chemistry Preprint PDF DOI

Elucidating Norrish Type-I reactive pathways by ultrafast X-ray absorption spectroscopy

Martin Gra{ss}l, Pablo Unzueta, Andreas E. Hillers-Bendtsen, Yusong Liu, Diptarka Hait, Alice E. Green, Xinxin Cheng, Felix Allum, Taran Driver, Ruaridh Forbes, James. M. Glownia, Erik Isele, Kirk A. Larsen, Xiang Li, Ming-Fu Lin, Razib Obaid, Adam Summers, Emily Thierstein, Jun Wang, James P. Cryan, Matthias F. Kling, Todd J. Martinez, Thomas J. A. Wolf ยท 2026

Norrish type I reactions selectively cleave carbon-carbon bonds directly adjacent to carbonyl groups. Despite their broad use in combination with aromatic carbonyls for additive manufacturing and dentโ€ฆ

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Chemistry Preprint PDF DOI

Quantum Field Approaches to Chemical Systems

Reza Karimpour, Matteo Gori, Alexandre Tkatchenko ยท 2026

Quantum-matter theory (QMT), based on the Schr\"odinger or Dirac equations, is firmly established for both intra- and intermolecular interactions. However, there are two key issues with QMT. First, itโ€ฆ

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Chemistry Preprint PDF DOI

Extended Lagrangian molecular dynamics on vibronic surfaces in the nuclear-electronic orbital framework

Joseph A. Dickinson, Mathew Chow, Eno Paenurk, Sharon Hammes-Schiffer ยท 2026

Proton transfer is central to many processes of chemical interest. The simulation of proton transfer dynamics requires the inclusion of nuclear quantum effects, such as zero-point energy, nuclear deloโ€ฆ

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Chemistry Preprint PDF DOI

Note on a rigorous derivation of self-consistent double-hybrid functional theory via generalized Kohn-Sham theory and cumulant approximation

Lan Nguyen Tran ยท 2026

In this short note, we present a rigorous derivation of the one-body double-hybrid density functional (OBDHF) theory, a self-consistent double-hybrid density functional framework that unifies the geneโ€ฆ

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Chemistry Preprint PDF DOI

Micropatterning photopolymerizable hydrogels for diffusion studies using pillar arrays or photomasks

Sevgi Onal, Edmondo Battista, Hilal Nasir, Fabio Formiggini, Valentina Mollo, Raffaele Vecchione, Paolo Netti ยท 2026

In situ polymerization and micropatterning of hydrogels on-chip opens the potential for many applications such as tracking and controlling the diffusion of molecules, stimulants, inhibitors, as well aโ€ฆ

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Chemistry Preprint PDF DOI

Matlantis-PFP v8: Universal Machine Learning Interatomic Potential with Better Experimental Agreements via r2SCAN Functional

Chikashi Shinagawa, So Takamoto, Daiki Shintani, Yong-Bin Zhuang, Yuta Tsuboi, Katsuhiko Nishimra, Kohei Shinohara, Shigeru Iwase, Yuta Tanaka, Ju Li ยท 2026

Universal Machine Learning Interatomic Potentials (uMLIPs) enable atomistic simulations and high-throughput screening at scales far beyond those accessible with density functional theory (DFT). Howeveโ€ฆ

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