Expertini Research Research

Browse Research Papers

1,184+ open-access research outputs.

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

DoNOF 2.0: A modern Open-Source Electronic Structure Program for Natural Orbital Functionals

Juan Felipe Huan Lew-Yee, Ion Mitxelena, Jorge M. del Campo, and Mario Piris ยท 2025

In this work, we present the second version of the Donostia Natural Orbital Functional Software, an open-source program for natural orbital functional calculations. The new release incorporates improvโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

LibppRPA: An Open-Source Library for Particle-Particle Random Phase Approximation

Jincheng Yu, Jiachen Li, Chaoqun Zhang, Tianyu Zhu, Weitao Yang ยท 2025

The accurate description of electron correlation and excitation energies remains a fundamental challenge in quantum chemistry. The particle-particle random phase approximation (ppRPA) has emerged as aโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

Exceptional Alkaline Methanol Electrooxidation on Bi-modified Pt3M Intermetallics: Kinetic Origins and an OH Binding Energy Descriptor

Lecheng Liang, Hengyu Li, Shao Ye, Peng Li, Kaiyang Xu, Jinhui Liang, Binwen Zeng, Bo Shen, Taisuke Ozaki, Zhiming Cui ยท 2025

The exploration of advanced CO-free catalysts and clarifying the ambiguous kinetic origins and governing factors would undoubtedly open up opportunities to overcome the sluggish kinetics of methanol eโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

Mapping Still Matters: Coarse-Graining with Machine Learning Potentials

Franz Gorlich, Julija Zavadlav ยท 2025

Coarse-grained (CG) modeling enables molecular simulations to reach time and length scales inaccessible to fully atomistic methods. For classical CG models, the choice of mapping, that is, how atoms aโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

Generalization of Long-Range Machine Learning Potentials in Complex Chemical Spaces

Michal Sanocki, Julija Zavadlav ยท 2025

The vastness of chemical space makes generalization a central challenge in the development of machine learning interatomic potentials (MLIPs). While MLIPs could enable large-scale atomistic simulationโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

Comparing the latent features of universal machine-learning interatomic potentials

Sofiia Chorna, Davide Tisi, Cesare Malosso, Wei Bin How, Michele Ceriotti, Sanggyu Chong ยท 2025

The past few years have seen the development of ``universal'' machine-learning interatomic potentials (uMLIPs) capable of approximating the ground-state potential energy surface across a wide range ofโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

Efficient Quantum Simulation of Non-Adiabatic Molecular Dynamics with Precise Electronic Structure

Tianyi Li, Yumeng Zeng, Qiming Ding, Zixuan Huo, Xiaosi Xu, Jiajun Ren, Diandong Tang, Xiaoxia Cai, Xiao Yuan ยท 2025

In the study of non-adiabatic chemical processes such as photocatalysis and photosynthesis, non-adiabatic molecular dynamics (NAMD) is an indispensable theoretical tool, which requires precise potentiโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

Toward Unified Interphase Engineering: The Solid-Electrolyte Interphase in Batteries and Supercapacitors

Mehedi Hasan, Ishtiaq Murshed, Khayrul Islam, A.K.M. Masud ยท 2025

The development of next-generation electrochemical energy storage requires devices that combine the high energy density of batteries with the power capability and long cycle life of supercapacitors. Hโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

MLIPAudit: A benchmarking tool for Machine Learned Interatomic Potentials

Leon Wehrhan, Lucien Walewski, Marie Bluntzer, Heloise Chomet, Jules Tilly, Christoph Brunken, Silvia Acosta-Gutierrez ยท 2025

Machine-learned interatomic potentials (MLIPs) promise to significantly advance atomistic simulations by delivering quantum-level accuracy for large molecular systems at a fraction of the computationaโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

\emph{Ab initio} derivation of the crystal field parameters for lanthanide ions: The f$^1$ case

Dumitru-Claudiu Sergentu, Gwenhael Duplaix-Rata, Ionel Humelnicu, Boris Le Guennic, Remi Maurice ยท 2025

The crystal field theory as explained by Abragam and Bleaney in their landmark 1970 book on transition-ion electron paramagnetic resonance remains a cornerstone in the development of luminescence applโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

Spin-adapted open-shell time-dependent density functional theory: towards a simple and accurate method for spin-flip-down excitations

Hewang Zhao, Zhendong Li ยท 2025

A major challenge in using spin-flip time-dependent density functional theory (SF-TD-DFT) for spin-flip-down excitations is the presence of spin contamination. While several improved methods have beenโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

Recent advances in stimulus-assisted nanoprecipitation for nanoparticle synthesis

Mingbo Li, Junhao Cai, Yawen Gao ยท 2025

Nanoprecipitation, the rapid solvent-displacement route to nanoscale phase separation, has matured from a simple batch operation into a versatile platform for nanomaterial synthesis. This review synthโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

A Hybrid Physics-Driven Neural Network Force Field for Liquid Electrolytes

Junmin Chen, Qian Gao, Yange Lin, Miaofei Huang, Zheng Cheng, Wei Feng, Jianxing Huang, Bo Wang, Kuang Yu ยท 2025

Electrolyte design plays an important role in the development of lithium-ion batteries and sodium-ion batteries. Battery electrolytes feature a large design space composed of different solvents, additโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

Electron transfer in confined electromagnetic fields: a unified Fermi's golden rule rate theory and extension to lossy cavities

Wenxiang Ying, Abraham Nitzan ยท 2025

With the rapid development of nanophotonics and cavity quantum electrodynamics, there has been growing interest in how confined electromagnetic fields modify fundamental molecular processes such as elโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

Efficient Implementation of the Spin-Free Renormalized Internally-Contracted Multireference Coupled Cluster Theory

Kalman Szenes, Riya Kayal, Kantharuban Sivalingam, Robin Feldmann, Frank Neese, Markus Reiher ยท 2025

In this paper, an efficient implementation of the renormalized internally-contracted multreference coupled cluster with singles and doubles (RIC-MRCCSD) into the ORCA quantum chemistry program suite iโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

Design, Assessment, and Application of Machine Learning Potential Energy Surfaces

Valerii Andreichev, Sena Aydin, Kai Topfer, Markus Meuwly, Luis Itza Vazquez-Salazar ยท 2025

Potential Energy Surfaces (PESs) are an indispensable tool to investigate, characterise and understand chemical and biological systems in the gas and condensed phases. Advances in Machine Learning (MLโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

A Transferable Model of Molecular Exchange-Repulsion Interaction from Anisotropic Valence Density Overlap

Dahvyd Wing, Alexandre Tkatchenko ยท 2025

Pauli exchange-repulsion is the dominant short-range intermolecular interaction and it is an essential component of molecular force fields. Current approaches to modeling Pauli repulsion in molecular โ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

FSIM: A Pedagogical and Extensible HPC Framework for the Hartree-Fock Method

Mario Hernandez Vera ยท 2025

Efficient computation of molecular integrals and Hartree-Fock energy remains a central topic in quantum-chemistry algorithm development. Although many sophisticated open-source packages are available,โ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

TriDS: AI-native molecular docking framework unified with binding site identification, conformational sampling and scoring

Xuhan Liu, Baohua Zhang, Hong Zhang, Yi Qin Gao ยท 2025

Molecular docking is a cornerstone of drug discovery to unveil the mechanism of ligand-receptor interactions. With the recent development of deep learning in the field of artificial intelligence, innoโ€ฆ

Read Paper โ†’
Chemistry Preprint PDF DOI

eT 2.0: An efficient open-source molecular electronic structure program

Sarai Dery Folkestad, Eirik F. Kj{o}nstad, Alexander C. Paul, Rolf H. Myhre, Riccardo Alessandro, Sara Angelico, Alice Balbi, Alberto Barlini, Andrea Bianchi, Chiara Cappelli, Matteo Castagnola, Sonia Coriani, Yassir El Moutaoukal, Tommaso Giovannini, Linda Goletto, Tor S. Haugland, Daniel Hollas, Ida-Marie H{o}yvik, Marcus T. Lexander, Doroteja Lipovec, Gioia Marrazzini, Torsha Moitra, Ylva Os, Regina Paul, Jacob Pedersen, Matteo Rinaldi, Rosario R. Riso, Sander Roet, Enrico Ronca, Federico Rossi, Bendik S. Sannes, Anna Kristina Schnack-Petersen, Andreas S. Skeidsvoll, Leo Stoll, Guillaume Thiam, Jan Haakon M. Trabski, Henrik Koch ยท 2025

The eT program is an open-source electronic structure program with emphasis on performance and modularity. As its name suggests, the program features extensive coupled cluster capabilities, performingโ€ฆ

Read Paper โ†’
โ† Prev Page 3 of 60 Next โ†’