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๐Ÿ” program development ๐Ÿ“‚ Chemistry
Showing 1184 results for "program development" in Chemistry
Chemistry Preprint PDF DOI

Exact quantum dynamics of methanol: full-dimensional ab initio potential energy surface of spectroscopic quality and variational vibrational states

Ayaki Sunaga, Tibor Gyori, Gabor Czako, Edit Matyus ยท 2025

The methanol molecule is a sensitive probe of astrochemistry, astrophysics, and fundamental physics. The first-principles elucidation and prediction of its rotation-torsional-vibrational motions are eโ€ฆ

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Chemistry Preprint PDF DOI

The Enduring Relevance of Semiempirical Quantum Mechanics

Jonathan E. Moussa ยท 2025

The development of semiempirical models to simplify quantum mechanical descriptions of atomistic systems is a practice that started soon after the discovery of quantum mechanics and continues to the pโ€ฆ

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Chemistry Preprint PDF DOI

HORM: A Large Scale Molecular Hessian Database for Optimizing Reactive Machine Learning Interatomic Potentials

Taoyong Cui, Yunhong Han, Haojun Jia, Chenru Duan, Qiyuan Zhao ยท 2025

Transition state (TS) characterization is central to computational reaction modeling, yet conventional approaches depend on expensive density functional theory (DFT) calculations, limiting their scalaโ€ฆ

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Chemistry Preprint PDF DOI

DIALECT, a software package for exciton spectra and dynamics in large molecular assemblies from weak to strong light-matter coupling regimes

Richard Einsele, Xincheng Miao, Luca Nils Philipp, Roland Mitric ยท 2025

The software package DIALECT is introduced, which provides the capability of calculating excited-state properties and nonadiabatic dynamics of large molecular systems and can be applied to simulate enโ€ฆ

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Chemistry Preprint PDF DOI

SpectraMatcher: A Python Program for Interactive Analysis and Peak Assignment of Vibronic Spectra

Johanna Langner, Isabelle Weber, Henryk A. Witek, Yuan-Pern Lee ยท 2025

SpectraMatcher is a cross-platform desktop application for interactive comparison of experimental and computed vibronic spectra, designed to assist in the recognition and assignment of spectral patterโ€ฆ

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Chemistry Preprint PDF DOI

Equation-of-motion coupled-cluster variants in combination with perturbative triples corrections in strong magnetic fields

Marios-Petros Kitsaras, Florian Hampe, Lena Reimund, Stella Stopkowicz ยท 2025

In this paper, we report on the implementation of the EOM spin-flip (SF), ionization-potential (IP) and electron-affinity (EA) coupled cluster singles doubles (CCSD) methods for atoms and molecules inโ€ฆ

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Chemistry Preprint PDF DOI

Enhanced Performance of Highly Activated Carbon and Surface-Treated Porous Polymers as Physical Adsorbents for Chemical Warfare Agents

Sanghyeon Park, Yuseung Hong, Hyunseo Choi ยท 2025

The use of chemical warfare agents (CWAs) in modern warfare cannot be disregarded due to their ease of use and potential for large-scale incapacitation. An effective countermeasure involves the physicโ€ฆ

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Chemistry Preprint PDF DOI

Development of machine-learned interatomic potentials to predict structure, transport, and reactivity in platinum-based fuel cells

Kamron Fazel, Sam Brown, Jacob Clary, Pritom Bose, Nima Karimitari, Amalie L. Frischknecht, Ravishankar Sundararaman, Derek Vigil-Fowler ยท 2025

Machine-learned interatomic potentials (MLIPs) have rapidly progressed in accuracy, speed, and data efficiency in recent years. However, training robust MLIPs in multicomponent systems still remains aโ€ฆ

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Chemistry Preprint PDF DOI

X2C Hamiltonian Models in ReSpect: Bridging Accuracy and Efficiency

Michal Repisky, Stanislav Komorovsky, Lukas Konecny, Marius Kadek, Torsha Moitra, Marc Joosten, Debora Misenkova, Rasmus Vikhamar-Sandberg, Martin Kaupp, Kenneth Ruud, Olga L. Malkina, Vladimir G. Malkin ยท 2025

Since its inception, the ReSpect program has been evolving to provide powerful tools for simulating spectroscopic processes and exploring emerging research areas, all while incorporating relativistic โ€ฆ

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Chemistry Preprint PDF DOI

Relativistic Two-Electron Contributions within Exact Two-Component Theory

Xubo Wang, Chaoqun Zhang, Junzi Liu, Lan Cheng ยท 2025

The development of relativistic exact two-component (X2C) theory is briefly reviewed, with an emphasis on cost-effective treatments of relativistic two-electron contributions by means of model potentiโ€ฆ

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Chemistry Preprint PDF DOI

Highly Accurate Expectation Values Using High-Order Relativistic Coupled Cluster Theory

Gabriele Fabbro, Jan Brandejs, Trond Saue ยท 2025

This work presents the automatic generation of analytic first derivatives of the energy for general coupled-cluster models using the \text{tenpi} toolchain. We report the first implementation of expecโ€ฆ

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Chemistry Preprint PDF DOI

Development of Exotic Harmonium Model to Investigate Electron-Positively Charged Particle Correlation in Two-Component Quantum Systems

Nahid Sadat Riyahi ยท 2025

The problem of calculating the electron-positively charged particle correlation energy poses a challenge in the field of quantum chemistry beyond the adiabatic approximation. In this study, a toy modeโ€ฆ

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Chemistry Preprint PDF DOI

Lifelong Machine Learning Potentials for Chemical Reaction Network Explorations

Marco Eckhoff, Markus Reiher ยท 2025

Recent developments in computational chemistry facilitate the automated quantum chemical exploration of chemical reaction networks for the in-silico prediction of synthesis pathways, yield, and selectโ€ฆ

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Chemistry Preprint PDF DOI

Have you tried turning it off and on again? Stochastic resetting for enhanced sampling

Ofir Blumer, Barak Hirshberg ยท 2025

Molecular dynamics simulations are widely used across chemistry, physics, and biology, providing quantitative insight into complex processes with atomic detail. However, their limited timescale of a fโ€ฆ

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Chemistry Preprint PDF DOI

Optimal Invariant Bases for Atomistic Machine Learning

Alice E. A. Allen, Emily Shinkle, Roxana Bujack, Nicholas Lubbers ยท 2025

The representation of atomic configurations for machine learning models has led to the development of numerous descriptors, often to describe the local environment of atoms. However, many of these repโ€ฆ

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Chemistry Preprint PDF DOI

Coarse-Graining in Quantum Mechanics: Distinguishable and Indistinguishable Particles

Patrick G. Sahrmann, Gregory A. Voth ยท 2025

Bottom-up coarse-grained (CG) modeling expands the spatial and temporal scales of molecular simulation by seeking a reduced, thermodynamically consistent representation of an atomistic model. Developmโ€ฆ

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Chemistry Preprint PDF DOI

Orbital optimization of large active spaces via AI-accelerators

Ors Legeza, Andor Menczer, Adam Ganyecz, Miklos Antal Werner, Kornel Kapas, Jeff Hammond, Sotiris S. Xantheas, Martin Ganahl, Frank Neese ยท 2025

We present an efficient orbital optimization procedure that combines the highly GPU accelerated, spin-adapted density matrix renormalization group (DMRG) method with the complete active space self-conโ€ฆ

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Chemistry Preprint PDF DOI

Predicting performance-related properties of refrigerant based on tailored small-molecule functional group contribution

Peilin Cao, Ying Geng, Nan Feng, Xiang Zhang, Zhiwen Qi, Zhen Song, Rafiqul Gani ยท 2025

As current group contribution (GC) methods are mostly proposed for a wide size-range of molecules, applying them to property prediction of small refrigerant molecules could lead to unacceptable errorsโ€ฆ

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Chemistry Preprint PDF DOI

APPA : Agentic Preformulation Pathway Assistant

Julius Lange, Leonid Komissarov, Nicole Wyttenbach, Andrea Anelli ยท 2025

The design and development of effective drug formulations is a critical process in pharmaceutical research, particularly for small molecule active pharmaceutical ingredients. This paper introduces a nโ€ฆ

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Chemistry Preprint PDF DOI

Predicting the Stability of Geopolymer Activator Solutions for Optimised Synthesis through Thermodynamic Modelling

Ramon Skane, Philip A. Schneider, William D.A. Rickard, Franca Jones, Arie van Riessen, Evan Jamieson, Xiao Sun ยท 2025

Geopolymers are an emerging class of binding materials used in sustainable cements, concretes, and composites. However, despite growing research, the lack of standardised processes and stability analyโ€ฆ

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