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Showing 587 results for "intention" in Chemistry
Chemistry Preprint PDF DOI

Effect of reaction temperature on nascent carbonaceous particles from toluene shock-tube pyrolysis: Insights from FTIR and Raman spectroscopy

Meysam K. Rezaeian, Can Shao, Jurgen Herzler, Mustapha Fikri, Greg J. Smallwood, Christof Schulz ยท 2026

The transition from gaseous precursors to nascent solid particles and their subsequent structural maturation were investigated in single-pulse shock-tube experiments using ex situ Fourier-transform inโ€ฆ

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Chemistry Preprint PDF DOI

Chromatographic Peak Shape from a Stochastic-Diffusive Model with Multiple Retention Mechanisms: Analytic Time-Domain Expression and Derivatives

Hernan R. Sanchez ยท 2026

A time-domain analytic expression for chromatographic peak shapes is derived within a stochastic-diffusive framework that incorporates axial diffusion (molecular and multipath/Eddy), finite initial spโ€ฆ

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Chemistry Preprint PDF DOI

Magnetic coupling between nuclear motion and nuclear spins in molecules

Matthias Diez, Johannes K. Krondorfer, Albert Hirtenfelder, Andreas W. Hauser ยท 2026

Among the possible types of magnetic dipole interactions in molecular systems, couplings between nuclear motion and the nuclear spin have probably received the least attention in molecular spectroscopโ€ฆ

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Chemistry Preprint PDF DOI

Analytic nuclear gradients including oriented external electric fields in a molecule-fixed frame

Duc Anh Lai, Devin A. Matthews ยท 2026

Electric field-assisted chemistry has attracted much attention in recent years, particularly in the context of oriented external electric fields for controlling molecular structure and reactivity. Sucโ€ฆ

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Chemistry Preprint PDF DOI

A Density-Based Continuous Local Symmetry Measure

Duc Anh Lai, Devin A. Matthews ยท 2026

Although continuous symmetry theory has attracted increasing attention in modern chemistry, local symmetry remains under-investigated. As a consequence, the relationship between symmetry and chemical โ€ฆ

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Chemistry Preprint PDF DOI

In situ Learning-Based Spin Engineering of Pulsed Dynamic Nuclear Polarization

Filip V. Jensen, Jose P. Carvalho, Nino Wili, Asbjorn Holk Thomsen, David L. Goodwin, Lukas Trottner, Claudia Strauch, Anders Bodholt Nielsen, Niels Chr. Nielsen ยท 2026

Pulsed Dynamic Nuclear Polarization (DNP) is currently receiving substantial interest as a means to enhance the sensitivity of nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI) by โ€ฆ

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Chemistry Preprint PDF DOI

Carbon black and hydrogen production from methane pyrolysis: measured and modeled insights from integrated gas and particle diagnostics in shock tubes

Gibson Clark, Mohammad Adib, Chengze Li, Taylor M. Rault, Jesse W. Streicher, Enoch Dames, M. Reza Kholghy, Ronald K. Hanson ยท 2026

Methane (CH4) pyrolysis is a promising route to co-produce hydrogen (H2) and carbon black (CB) while avoiding emissions associated with steam-methane reforming and furnace black processes. Model develโ€ฆ

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Chemistry Preprint PDF DOI

ChemFlow:A Hierarchical Neural Network for Multiscale Representation Learning in Chemical Mixtures

Jinming Fan, Chao Qian, Wilhelm T. S. Huck, William E. Robinson, Shaodong Zhou ยท 2026

Accurate prediction of the physicochemical properties of molecular mixtures using graph neural networks remains a significant challenge, as it requires simultaneous embedding of intramolecular interacโ€ฆ

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Chemistry Preprint PDF DOI

Exact factorization of a many-body wavefunction beyond the electron-nuclear problem

Peter Schurger, Sara Giarrusso, Federica Agostini ยท 2026

This Review is devoted to the presentation of the exact factorization as a framework employed to study a variety of quantum-mechanical many-body problems. Since its original formulation in the 70s, thโ€ฆ

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Chemistry Preprint PDF DOI

Semi-Local Exchange-Correlation Approximations in Density Functional Theory

Fabien Tran, Susi Lehtola, Stefano Pittalis, Miguel A. L. Marques ยท 2026

Density functional theory is the workhorse of modern electronic structure calculations, with wide-ranging applications in chemistry, physics, materials science, and machine learning. At its heart liesโ€ฆ

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Chemistry Preprint PDF DOI

Machine learning electronic structure and atomistic properties from the external potential

Jigyasa Nigam, Tess Smidt, Genevieve Dusson ยท 2026

Electronic structure calculations remain a major bottleneck in atomistic simulations and, not surprisingly, have attracted significant attention in machine learning (ML). Most existing approaches learโ€ฆ

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Chemistry Preprint PDF DOI

AgentCAT: An LLM Agent for Extracting and Analyzing Catalytic Reaction Data from Chemical Engineering Literature

Wei Yang, Zihao Liu, Tao Tan, Xiao Hu, Hong Xie, Lulu Li Xin Li, Jianyu Han, Defu Lian, Mao Ye ยท 2026

This paper presents a large language model (LLM) agent named AgentCAT, which extracts and analyzes catalytic reaction data from chemical engineering papers, %and supports natural language based interaโ€ฆ

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Chemistry Preprint PDF DOI

Consistent GMTKN55 and molecular-crystal accuracy using minimally empirical DFT with XDM(Z) dispersion

Kyle R. Bryenton, Erin R. Johnson ยท 2026

Density-functional theory (DFT) has become the workhorse of modern computational chemistry, with dispersion corrections such as the exchange-hole dipole moment (XDM) model playing a key role in high-aโ€ฆ

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Chemistry Preprint PDF DOI

ChemNavigator: Agentic AI Discovery of Design Rules for Organic Photocatalysts

Iman Peivaste, Ahmed Makradi, Salim Belouettar ยท 2026

The discovery of high-performance organic photocatalysts for hydrogen evolution remains limited by the vastness of chemical space and the reliance on human intuition for molecular design. Here we presโ€ฆ

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Chemistry Preprint PDF DOI

OmniMol: Transferring Particle Physics Knowledge to Molecular Dynamics with Point-Edge Transformers

Ibrahim Elsharkawy, Vinicius Mikuni, Wahid Bhimji, Benjamin Nachman ยท 2026

We present OmniMol, a state-of-the-art transformer-based small molecule machine-learned interatomic potential (MLIP). OmniMol is built by adapting Omnilearned, a foundation model for particle jets fouโ€ฆ

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Chemistry Preprint PDF DOI

Scalable Machine Learning Force Fields for Macromolecular Systems Through Long-Range Aware Message Passing

Chu Wang, Lin Huang, Xinran Wei, Tao Qin, Arthur Jiang, Lixue Cheng, Jia Zhang ยท 2026

Machine learning force fields (MLFFs) have revolutionized molecular simulations by providing quantum mechanical accuracy at the speed of molecular mechanical computations. However, a fundamental reliaโ€ฆ

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Chemistry Preprint PDF DOI

Co-doping of silicate bioceramics as a potential strategy to further enhance mono-doping consequences

Sohrab Mofakhami, Erfan Salahinejad ยท 2026

Silicate bioceramics have attracted significant attention in medical applications, particularly in hard tissue regeneration, because of their controllable chemical, physical, and biological functionalโ€ฆ

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Chemistry Preprint PDF DOI

Panchromatic Absorbing Materials: Molecular Design and Challenges in Photovoltaic Applications

Hsien-Hsin Chou ยท 2025

Panchromatic absorbing materials are widely regarded as a key strategy for enhancing solar energy utilization and photocurrent generation. However, in artificial molecular systems, broadening the absoโ€ฆ

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Chemistry Preprint PDF DOI

Bridging Visual Intuition and Chemical Expertise: An Autonomous Analysis Framework for Nonadiabatic Dynamics Simulations via Mentor-Engineer-Student Collaboration

Yifei Zhu, Jiahui Zhang, Binni Huang, Zhenggang Lan ยท 2025

Analyzing nonadiabatic molecular dynamics trajectories traditionally heavily relies on expert intuition and visual pattern recognition, a process that is difficult to formalize. We present VisU, a visโ€ฆ

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Chemistry Preprint PDF DOI

Before We Inject: Assessing the Impact of Silica-Based Aerosols on Stratospheric Chemistry via a Kinetic Model Informed by Molecular Dynamics

Dennis Lima, Saif Al-Kuwari, Ivan Gladich ยท 2025

Stratospheric aerosol injection (SAI) has been proposed as a geoengineering strategy to mitigate global warming by increasing Earth's albedo. Silica-based materials, such as diamond-doped silica aerogโ€ฆ

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