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

Impact of Ethanol and Methanol on NOx Emissions in Ammonia-Methane Combustion: ReaxFF Simulations and ML-Based Extrapolation

Amirali Shateri, Zhiyin Yang, Jianfei Xie ยท 2025

The development of ammonia-methane (NH3-CH4) combustion as a hydrogen-carrier energy source faces major challenges such as significant NOx emissions, hindering its practical implementation. This paperโ€ฆ

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Chemistry Preprint PDF DOI

Adaptive Transition State Refinement with Learned Equilibrium Flows

Samir Darouich, Vinh Tong, Tanja Bien, Johannes Kastner, Mathias Niepert ยท 2025

Identifying transition states (TSs), the high-energy configurations that molecules pass through during chemical reactions, is essential for understanding and designing chemical processes. However, accโ€ฆ

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Chemistry Preprint PDF DOI

Toward Routine CSP of Pharmaceuticals: A Fully Automated Protocol Using Neural Network Potentials

Zachary L. Glick, Derek P. Metcalf, Scott F. Swarthout ยท 2025

Crystal structure prediction (CSP) is a useful tool in pharmaceutical development for identifying and assessing risks associated with polymorphism, yet widespread adoption has been hindered by high coโ€ฆ

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Chemistry Preprint PDF DOI

Development and experimental validation of a mathematical model for fluoride-removal filters comprising chemically treated mineral rich carbon

Lucy C. Auton, Shanmuk S. Ravuru, Sirshendu De, Tim G. Myers, Abel Valverde ยท 2025

Excessive fluoride intake can lead to dental and skeletal fluorosis, among other health issues. Naturally occurring fluoride and industrial runoff can result in concentrations far exceeding the World โ€ฆ

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Chemistry Preprint PDF DOI

Cavity Born-Oppenheimer Coupled Cluster Theory: Towards Electron Correlation in the Vibrational Strong Light-Matter Coupling Regime

Eric W. Fischer ยท 2025

We present a detailed derivation and discussion of cavity Born-Oppenheimer coupled cluster (CBO-CC) theory and address cavity-modified electron correlation in the vibrational strong coupling regime. Mโ€ฆ

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Chemistry Preprint PDF DOI

DLPNO-MP2 for Periodic Systems using Megacell Embedding

Andrew Zhu, Arman Nejad, Poramas Komonvasee, Kesha Sorathia, David P. Tew ยท 2025

We present a domain-based local pair natural orbital M{\o}ller--Plesset second order perturbation theory (DLPNO-MP2) for periodic systems, working within an LCAO formalism within the Tubromole programโ€ฆ

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Chemistry Preprint PDF DOI

DLPNO-MP2 with Periodic Boundary Conditions

Arman Nejad, Andrew Zhu, Kesha Sorathia, David P. Tew ยท 2025

We present domain-based local pair natural orbital M{\o}ller--Plesset second order perturbation theory (DLPNO-MP2) with Born--von K{\'a}rm{\'a}n boundary (BvK) conditions. The approach is based on welโ€ฆ

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Chemistry Preprint PDF DOI

Fully Analytic Nuclear Gradients for the Bethe--Salpeter Equation

Johannes Tolle, Marios-Petros Kitsaras, Pierre-Francois Loos ยท 2025

The Bethe-Salpeter equation (BSE) formalism, combined with the $GW$ approximation for ionization energies and electron affinities, is emerging as an efficient and accurate method for predicting opticaโ€ฆ

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Chemistry Preprint PDF DOI

Attosecond Control and Measurement of Chiral Photoionisation Dynamics

Meng Han, Jia-Bao Ji, Alexander Blech, R. Esteban Goetz, Corbin Allison, Loren Greenman, Christiane P. Koch, Hans Jakob Worner ยท 2025

Many chirality-sensitive light-matter interactions are governed by chiral electron dynamics. Therefore, the development of advanced technologies harnessing chiral phenomena would critically benefit frโ€ฆ

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Chemistry Preprint PDF DOI

A Comparison of Relativistic Coupled Cluster and Equation of Motion Coupled Cluster Quadratic Response Theory

Xiang Yuan, Loic Halbert, Lucas Visscher, Andre Severo Pereira Gomes ยท 2025

We present the implementation of relativistic coupled cluster quadratic response theory (QR-CC), following our development of relativistic equation of motion coupled cluster quadratic response theory โ€ฆ

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Chemistry Preprint PDF DOI

Integrating Classical and Quantum Software for Enhanced Simulation of Realistic Chemical Systems

Tomoya Shiota, Klaas Gunst, Toshio Mori, Toru Shiozaki, Wataru Mizukami ยท 2025

We demonstrate the feasibility of quantum computing for large-scale, realistic chemical systems through the development of a new interface using a quantum circuit simulator and CP2K, a highly efficienโ€ฆ

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Chemistry Preprint PDF DOI

Partitioning the electronic wave function using deep variational Monte Carlo

Matej Mezera, Paolo A. Erdman, Zeno Schatzle, P. Bernat Szabo, Frank Noe ยท 2025

We propose a novel wave function partitioning method that integrates deep-learning variational Monte Carlo with ans\"atze based on generalized product functions. This approach effectively separates elโ€ฆ

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Chemistry Preprint PDF DOI

Accurate Chemistry Collection: Coupled cluster atomization energies for broad chemical space

Sebastian Ehlert, Jan Hermann, Thijs Vogels, Victor Garcia Satorras, Stephanie Lanius, Marwin Segler, Klaas J. H. Giesbertz, Derk P. Kooi, Kenji Takeda, Chin-Wei Huang, Giulia Luise, Rianne van den Berg, Paola Gori-Giorgi, Amir Karton ยท 2025

Accurate thermochemical data with sub-chemical accuracy (within 1 kcal mol$^{-1}$ of the empirical ground truth) are essential for advancing computational chemistry methods. However, existing datasetsโ€ฆ

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Chemistry Preprint PDF DOI

Mixed platinum and zirconia powder as electrocatalyst for hydrogen evolution and oxidation reaction

Simone Minelli, Manuel Iozzia, Claudio Piazzoni, Alberto Vertova, Cristina Lenardi, Alessandro Minguzzi ยท 2025

The development of efficient and cost-effective bifunctional electrocatalysts for hydrogen-related technologies is crucial for the transition to sustainable energy. In this work, we present Pt@ZrO2 asโ€ฆ

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Chemistry Preprint PDF DOI

Enhancing PySCF-based Quantum Chemistry Simulations with Modern Hardware, Algorithms, and Python Tools

Zhichen Pu, Qiming Sun ยท 2025

The PySCF package has emerged as a powerful and flexible open-source platform for quantum chemistry simulations. However, the efficiency of electronic structure calculations can vary significantly depโ€ฆ

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Chemistry Preprint PDF DOI

Light-Matter Entanglement in Real-Time Nuclear-Electronic Orbital Polariton Dynamics

Millan F. Welman, Tao E. Li, Sharon Hammes-Schiffer ยท 2025

Molecular polaritons are hybrid light-matter states that enable the exploration of potential cavity-modified chemistry. The development of dynamical, first-principles approaches for simulating moleculโ€ฆ

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Chemistry Preprint PDF DOI

MC-PDFT Nuclear Gradients and L-PDFT Energies with Meta and Hybrid Meta On-Top Functionals for Ground- and Excited-State Geometry Optimization and Vertical Excitation Energies

Matthew R. Hennefarth, Younghwan Kim, Bhavnesh Jangid, Jacob Wardzala, Matthew R. Hermes, Donald G. Truhlar, Laura Gagliardi ยท 2025

Multiconfiguration pair-density functional theory (MC-PDFT) is a post-MCSCF multireference electronic-structure method that explicitly models strong electron correlation, and linearized pair-density fโ€ฆ

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Chemistry Preprint PDF DOI

Machine-Learned Potentials for Solvation Modeling

Roopshree Banchode, Surajit Das, Shampa Raghunathan, Raghunathan Ramakrishnan ยท 2025

Solvent environments play a central role in determining molecular structure, energetics, reactivity, and interfacial phenomena. However, modeling solvation from first principles remains difficult due โ€ฆ

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Chemistry Preprint PDF DOI

Machine Learning Interatomic Potentials: library for efficient training, model development and simulation of molecular systems

Christoph Brunken, Olivier Peltre, Heloise Chomet, Lucien Walewski, Manus McAuliffe, Valentin Heyraud, Solal Attias, Martin Maarand, Yessine Khanfir, Edan Toledo, Fabio Falcioni, Marie Bluntzer, Silvia Acosta-Gutierrez, Jules Tilly ยท 2025

Machine Learning Interatomic Potentials (MLIP) are a novel in silico approach for molecular property prediction, creating an alternative to disrupt the accuracy/speed trade-off of empirical force fielโ€ฆ

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Chemistry Preprint PDF DOI

Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials

Moritz Rene Schafer, Nico Segreto, Fabian Zills, Christian Holm, Johannes Kastner ยท 2025

We introduce Atomistic learned potentials in JAX (apax), a flexible and efficient open source software package for training and inference of machine-learned interatomic potentials. Built on the JAX frโ€ฆ

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