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

Oxygen vacancy formation in ZnSeTe blue quantum dot light-emitting diodes

Shaun Tan, Sujin Park, Seung-Gu Choi, Oliver J. Tye, Ruiqi Zhang, Jonah R. Horowitz, Heejae Chung, Vladimir Bulovic, Jeonghun Kwak, Jin-Wook Lee, Taehyung Kim, Moungi G. Bawendi ยท 2025

Recent advancements have led to the development of bright and heavy metal-free blue-emitting quantum dot light-emitting diodes (QLEDs). However, consensus understanding of their distinct photophysicalโ€ฆ

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Chemistry Preprint PDF DOI

Vibrational corrections to molecular properties including relativistic corrections at the level of the Zeroth-Order Regular Approximation

Louise M{o}ller Jessen, Ronan Gleeson, Lars Hemmingsen, Stephan P. A. Sauer ยท 2025

The vibrational averaging module of the Dalton Project was extended to work also with the Amsterdam Density Functional (ADF) program, making it possible to calculate vibrational corrections to propertโ€ฆ

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Chemistry Preprint PDF DOI

Swarm Intelligence for Chemical Reaction Optimisation

Remi Schlama, Joshua W. Sin, Ryan P. Burwood, Kurt Puntener, Raphael Bigler, Philippe Schwaller ยท 2025

Chemical reaction optimisation is essential for synthetic chemistry and pharmaceutical development, demanding the extensive exploration of many reaction parameters to achieve efficient and sustainableโ€ฆ

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Chemistry Preprint PDF DOI

Attochemical control of nuclear motion despite fast electronic decoherence

Lina Fransen, Sandra Gomez, Morgane Vacher ยท 2025

Short-in-time, broad-in-energy attosecond or few-femtosecond pulses can excite coherent superpositions of several electronic states in molecules. This results in ultrafast charge oscillations known asโ€ฆ

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Chemistry Preprint PDF DOI

A large language model system for the field of chemical engineering technology

Heng Zhang, Jibin Zhou, Feiyang Xu, Jian Cui, Yi Li, Fan Yang, Hao Wang, Xin Li, Mao Ye ยท 2025

The development of chemical engineering technology is a multi-stage process that encompasses laboratory research, scaling up, and industrial deployment. This process demands interdisciplinary col โ€ฆ

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Chemistry Preprint PDF DOI

Multi-Spectroscopic Method to Quantify Rapid Decomposition of an Organophosphate Simulant Using Reactive Materials as a Function of Metal Powder Chemistry and Temperature

Preetom Borah, Elif Irem Senyurt, Rohit Berlia, Jesse Grant, Edward Dreizin, Timothy P Weihs ยท 2025

The development of advanced diagnostic systems to measure and optimize emerging energetic material performance is critical for the defeat of Chemical Warfare Agents (CWA). This study presents an integโ€ฆ

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Chemistry Preprint PDF DOI

A Further Comparison of MPS and TTNS for Nonadiabatic Dynamics of Exciton Dissociation

Weitang Li, Jiajun Ren, Jun Yan ยท 2025

Tensor networks, such as matrix product states (MPS) and tree tensor network states (TTNS), are powerful ans\"atze for simulating quantum dynamics. While both ans\"atze are theoretically exact in the โ€ฆ

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Chemistry Preprint PDF DOI

CHEMSMART: Chemistry Simulation and Modeling Automation Toolkit for High-Efficiency Computational Chemistry Workflows

Xinglong Zhang, Huiwen Tan, Jingyi Liu, Zihan Li, Lewen Wang, Benjamin W. J. Chen ยท 2025

CHEMSMART (Chemistry Simulation and Modeling Automation Toolkit) is an open-source, Python-based framework designed to streamline quantum chemistry workflows for homogeneous catalysis and molecular moโ€ฆ

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Chemistry Preprint PDF DOI

Migration as a Probe: A Generalizable Benchmark Framework for Specialist vs. Generalist Machine-Learned Force Fields

Yi Cao, Paulette Clancy ยท 2025

Machine-learned force fields (MLFFs), especially pre-trained foundation models, are transforming computational materials science by enabling ab initio-level accuracy at molecular dynamics scales. Yet โ€ฆ

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Chemistry Preprint PDF DOI

SpinAdaptedSecondQuantization.jl 1.0 -- A Simple and Pedagogical Approach to Symbolic Quantum Chemistry

Marcus T. Lexander, Tor S. Haugland, Federico Rossi, Henrik Koch ยท 2025

The development of new electronic structure methods is a very time consuming and error prone process when done by hand. SpinAdaptedSecondQuantization is an open-source Julia package we have developed โ€ฆ

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Chemistry Preprint PDF DOI

Towards Routine Condensed Phase Simulations with Delta-Learned Coupled Cluster Accuracy: Application to Liquid Water

Niamh O'Neill, Benjamin X. Shi, William Baldwin, William C. Witt, Gabor Csanyi, Julian D. Gale, Angelos Michaelides, Christoph Schran ยท 2025

Simulating liquid water to an accuracy that matches its wealth of available experimental data requires both precise electronic structure methods and reliable sampling of nuclear (quantum) motion. Thisโ€ฆ

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Chemistry Preprint PDF DOI

aims-PAX: Parallel Active eXploration for the automated construction of Machine Learning Force Fields

Tobias Henkes, Shubham Sharma, Alexandre Tkatchenko, Mariana Rossi, Igor Poltavskyi ยท 2025

Recent advances in machine learning force fields (MLFF) have significantly extended the reach of atomistic simulations. Continuous progress in this field requires reliable reference datasets, accurateโ€ฆ

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Chemistry Preprint PDF DOI

Unphysical Solutions in Coupled-Cluster-Based Random Phase Approximation and How to Avoid Them

Ruiheng Song, Xiliang Gong, Hong-Zhou Ye ยท 2025

The direct ring coupled-cluster doubles (drCCD)-based random phase approximation (RPA) has provided an attractive framework for the development and application of RPA-related methods. However, a potenโ€ฆ

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Chemistry Preprint PDF DOI

Ehrenfest Dynamics with Spontaneous Localization

Anderson A. Tomaz, Rafael S. Mattos, Saikat Mukherjee, Mario Barbatti ยท 2025

We propose Ehrenfest Dynamics with Spontaneous Localization (SLED), a decoherence-corrected extension of Ehrenfest dynamics based on the Gisin-Percival quantum-state diffusion (QSD) equation. In SLED,โ€ฆ

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Chemistry Preprint PDF DOI

MiqroForge: An Intelligent Workflow Platform for Quantum-Enhanced Computational Chemistry

Jianan Wang, Wenbo Guo, Xin Yue, Minjie Xu, Yueqiang Zheng, Jingxiang Dong, Jiarui Hu, Jian Xia, Chuixiong Wu ยท 2025

The connect-fill-run workflow paradigm, widely adopted in mature software engineering, accelerates collaborative development. However, computational chemistry, computational materials science, and comโ€ฆ

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Chemistry Preprint PDF DOI

O1NumHess: a fast and accurate seminumerical Hessian algorithm using only O(1) gradients

Bo Wang, Shaohang Luo, Zikuan Wang, Wenjian Liu ยท 2025

In this work, we describe a new algorithm, O1NumHess, to calculate the Hessian of a molecular system by finite differentiation of gradients calculated at displaced geometries. Different from the conveโ€ฆ

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Chemistry Preprint PDF DOI

Boltzmann Thermometry at Cryogenic Temperatures Exploiting Stark Sublevels in Er$^{3+}$/Yb$^{3+}$-Codoped Yttrium Oxide Nanoparticles

Thomas Possmayer, Allison R. Pessoa, Jefferson A. O. Galindo, Luiz F. dos Santos, Rogeria R. Goncalves, Anderson M. Amaral, Leonardo de S. Menezes ยท 2025

The development of reliable luminescent nanothermometers for cryogenic applications is essential for advancing quantum technologies, superconducting systems, and other fields that require precise, higโ€ฆ

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Chemistry Preprint PDF DOI

Open Molecular Crystals 2025 (OMC25) Dataset and Models

Vahe Gharakhanyan, Luis Barroso-Luque, Yi Yang, Muhammed Shuaibi, Kyle Michel, Daniel S. Levine, Misko Dzamba, Xiang Fu, Meng Gao, Xingyu Liu, Haoran Ni, Keian Noori, Brandon M. Wood, Matt Uyttendaele, Arman Boromand, C. Lawrence Zitnick, Noa Marom, Zachary W. Ulissi, Anuroop Sriram ยท 2025

The development of accurate and efficient machine learning models for predicting the structure and properties of molecular crystals has been hindered by the scarcity of publicly available datasets of โ€ฆ

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Chemistry Preprint PDF DOI

Uni-Mol3: A Multi-Molecular Foundation Model for Advancing Organic Reaction Modeling

Lirong Wu, Junjie Wang, Zhifeng Gao, Xiaohong Ji, Rong Zhu, Xinyu Li, Linfeng Zhang, Guolin Ke, Weinan E ยท 2025

Organic reaction, the foundation of modern chemical industry, is crucial for new material development and drug discovery. However, deciphering reaction mechanisms and modeling multi-molecular relationโ€ฆ

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Chemistry Preprint PDF DOI

Ensemble Time-Dependent Density Functional Theory

Kimberly J. Daas, Steven Crisostomo, Kieron Burke ยท 2025

Time-dependent density functional theory (TDDFT) is a standard approach for calculating optical excitations of molecules and solids, while ensemble DFT (EDFT) is a promising alternative under developmโ€ฆ

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