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๐Ÿ” daniel severo ๐Ÿ“‚ Chemistry
Showing 781 results for "daniel severo" 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

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

Prominent Signatures of Energy Transfer in Action-Detected Spectra of a Cyanobacterial Photosynthetic Protein

Sayan Ghosh, Amitav Sahu, Stephanie Gonzalez-Migoni, Thomas L.C. Jansen, Vivek Tiwari ยท 2026

Action-detected two-dimensional electronic spectroscopy (A-2DES) could potentially be a versatile chemical tool with applicability across a range of photophysical observables such as photocurrent, phoโ€ฆ

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Chemistry Preprint PDF DOI

Computational Design and Experimental Validation of Photoactive PARP1 Inhibitors

Simon Axelrod, Miroslav Kaspar, Kristyna Jelinkova, Marketa Smidkova, Erika Bartunkova, Sille Stepanova, Eugene Shakhnovich, Vaclav Kasicka, Martin Dracinsky, Zlatko Janeba, Rafael Gomez-Bombarelli ยท 2026

Light-activated drugs are a promising way to treat localized diseases for which existing treatments have severe side effects. However, their development is complicated by the set of photophysical and โ€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

Cryogenic hydrogen embrittlement of 316plus (EN 1.4420) stainless steel at 77 K and 20 K

W. Li, A. Zafra, L. Armendariz, Z. Wang, W. Bailey, E. Martinez-Paneda, S. Afshan ยท 2026

This paper presents the first experimental characterisation of combined hydrogen-temperature effects in 316plus (EN 1.4420), a new austenitic stainless steel for liquid hydrogen (LH2) storage. Uniaxiaโ€ฆ

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Chemistry Preprint PDF DOI

Spin-adapted neural network backflow for strongly correlated electrons

Yunzhi Li, Zibo Wu, Bohan Zhang, Wei-Hai Fang, Zhendong Li ยท 2026

Accurately describing strongly correlated electrons in systems such as transition metal complexes requires strict adherence to spin symmetry, a feature largely absent in modern neural-network-based vaโ€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

Universal Scaling and Many-Body Resurrection of Polaritonic Double-Quantum Coherences

Maxim Sukharev ยท 2026

The ultrafast nonlinear optical response of molecular ensembles is fundamentally altered under strong light-matter coupling. To rigorously isolate the genuine many-body contributions, an exact time-doโ€ฆ

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Chemistry Preprint PDF DOI

TD$\Delta$SCF: Time-Dependent Density Functional Theory with a Non-Aufbau Reference for near-degenerate states

Shuto Shibasaki, Fumiya Mohri, Takashi Tsuchimochi ยท 2026

Near-degenerate electronic structures remain a major challenge for conventional single-reference density functional theory (DFT). To address this problem, we propose time-dependent $\Delta$SCF (TD$\Deโ€ฆ

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Chemistry Preprint PDF DOI

KANEL: Kolmogorov-Arnold Network Ensemble Learning Enables Early Hit Enrichment in High-Throughput Virtual Screening

Pavel Koptev, Nikita Krainov, Konstantin Malkov, Alexander Tropsha ยท 2026

Machine learning models of chemical bioactivity are increasingly used for prioritizing a small number of compounds in virtual screening libraries for experimental follow-up. In these applications, assโ€ฆ

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Chemistry Preprint PDF DOI

Exact density-functional theory as parallel ensemble variational hierarchies: from Lieb's formulation to Kohn-Sham theory

Nan Sheng ยท 2026

Exact density-functional theory is reconstructed here from its convex variational structure as two parallel exact ensemble hierarchies: an interacting hierarchy rooted in Lieb's ensemble formulation aโ€ฆ

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Chemistry Preprint PDF DOI

Molecular dynamics study of perchloric acid using the extended Madrid-2019 force field

M. Cruz-Sanchez, S. Blazquez, C. Vega, V. M. Trejos ยท 2026

Perchloric acid (HClO$_4$) is widely used to prepare perchlorate salts with applications in propellants, industry, environmental chemistry, and biology. In this work, we used the intermolecular parameโ€ฆ

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Chemistry Preprint PDF DOI

A unified machine learning framework for ab initio multiscale modeling of liquids

Anna T. Bui, Stephen J. Cox ยท 2026

Understanding and predicting the behavior of liquid matter across length scales, using only the microscopic interactions encoded in the Schr\"odinger equation, remains a central challenge in the physiโ€ฆ

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Chemistry Preprint PDF DOI

Reproducible Orchestration of Best Practices for Reaction Path Optimization with the Nudged Elastic Band

Rohit Goswami ยท 2026

The nudged elastic band (NEB) method is the standard approach for finding minimum energy paths and transition states on potential energy surfaces. Practical NEB calculations require several pre-procesโ€ฆ

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Chemistry Preprint PDF DOI

Design Space of Self--Consistent Electrostatic Machine Learning Interatomic Potentials

William J. Baldwin, Ilyes Batatia, Martin Vondrak, Johannes T. Margraf, Gabor Csanyi ยท 2026

Machine learning interatomic potentials (MLIPs) have become widely used tools in atomistic simulations. For much of the history of this field, the most commonly employed architectures were based on shโ€ฆ

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Chemistry Preprint PDF DOI

Spin-Orbit Induced Non-Adiabatic Dynamics: An Exact $\Omega$-Representation

Ryan P. Brady, Sergei N. Yurchenko ยท 2026

Transforming rovibronic Hamiltonians of molecular systems from the $\Lambda S$ (Hund's case a) basis to the adiabatic $\Omega$ representation is widely used to "remove" spin-orbit coupling (SOC) and eโ€ฆ

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Chemistry Preprint PDF DOI

Weiner's theory for exactly solvable Schr\"odinger equation with symmetric double well potential

A.E. Sitnitsky ยท 2026

The Weiner's theory (WT) is developed on the basis of the exactly solvable Schr\"odinger equation with trigonometric double-well potential (TDWP). The symmetric case of TDWP is considered. This modifiโ€ฆ

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Chemistry Preprint PDF DOI

Clapeyron Neural Networks for Single-Species Vapor-Liquid Equilibria

Jan Pavsek, Alexander Mitsos, Elvis J. Sim, Jan G. Rittig ยท 2026

Machine learning (ML) approaches have shown promising results for predicting molecular properties relevant for chemical process design. However, they are often limited by scarce experimental property โ€ฆ

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Chemistry Preprint PDF DOI

Efficient Calculation of Absorption Spectra of Platinum Complexes Used as Luminescent Probes for Cancer Detection

Lena T. T. Nguyen, Ernst D. Larsson, Kajsa M. F. Niklasson, Erna K. Wieduwilt, Erik D. Hedeg{aa}rd ยท 2026

Despite major advances in oncology, many chemotherapeutic agents still cause severe side effects that reduce quality of life, motivating new approaches for early detection and targeted elimination of โ€ฆ

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