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🔍 artificial intelligence 📂 Chemistry
Showing 271 results for "artificial intelligence" in Chemistry
Chemistry Preprint PDF DOI

AI-Powered Surrogate Modelling for Multiscale Combustion: A Critical Review and Opportunities

Amirali Shateri, Zhiyin Yang, Yuying Yan, Manosh C. Paul, Jianfei Xie · 2026

Recent advances in combustion science have led to the generation of large volumes of data from high-fidelity simulations, detailed chemical-kinetic calculations and engine-relevant measurements and cr…

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Chemistry Preprint PDF DOI

A Machine-Learned Symbolic Committor for a Chemical Reaction: Retinal Isomerization

Kai Topfer, Gianmarco Lazzeri, Vittoria Ossanna, Florian Renner, Gianluca Lattanzi, Roberto Covino, Bettina G. Keller · 2026

The thermal cis-trans isomerization around the C$_{13}$=C$_{14}$ double bond of retinal is a prototypical high-barrier reaction whose mechanism hinges on subtle out-of-plane bending motions. We apply …

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Chemistry Preprint PDF DOI

Effects of Porous Media Properties and Flow Environment on Drug Release from Porous Implants

Pawan Kumar Pandey, KVS Chaithanya, Prateek K. Jha · 2026

Drug-Filled Porous Implants (DFPIs) are an innovative solution for delivering drugs in a controlled and sustained manner to target sites. To optimize their performance across various physiological con…

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Chemistry Preprint PDF DOI

Accessing the performance of CC2 for excited state dynamics: a benchmark study with pyrazine

Rui-Hao Bi, Chongxiao Zhao, Ruixin Sun, Wenjie Dou · 2026

In this work, we access the performance of RI-CC2 for ultrafast internal conversion using pyrazine as a benchmark system. We implement analytical gradients and nonadiabatic coupling vectors for RI-CC2…

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Chemistry Preprint PDF DOI

FermiLink: A Unified Agent Framework for Multidomain Autonomous Scientific Simulations

Gang Meng, Andres Felipe Bocanegra Vargas, Xinwei Ji, Federico Garcia-Gaitan, Felipe Reyes-Osorio, Jalil Varela-Manjarres, Yafei Ren, Mohammadhasan Dinpajooh, Branislav K. Nikolic, Tao E. Li · 2026

Artificial-intelligence (AI) agent frameworks have been developed for autonomous scientific simulations, but most current agent frameworks are tailored to a single or a small set of software packages.…

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Chemistry Preprint PDF DOI

The correlation discrete variable representation revisited

Uwe Manthe · 2026

The correlation discrete variable representation (CDVR) enables efficient quantum dynamics calculation with the multi-layer multi-configurational time-dependent Hartree (MCTDH) approach on general pot…

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Chemistry Preprint PDF DOI

Deep learning of committor and explainable artificial intelligence analysis for identifying reaction coordinates

Toshifumi Mori, Kei-ichi Okazaki, Kang Kim, Nobuyuki Matubayasi · 2026

In complex molecular systems, the reaction coordinate (RC) that characterizes transition pathways is essential to understand underlying molecular mechanisms. This review surveys a framework for identi…

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Chemistry Preprint PDF DOI

A Primary Unified Geometric Framework of Molecular Reaction Dynamics Based on the Variational Principle

Xingyu Zhang, Jinke Yu, Qingyong Meng · 2026

This work describes a geometric framework on molecular reaction dynamics based on the variational principle, where the Schr{\"o}dinger equation must be solved to ``see'' how a reaction occurs. First, …

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Chemistry Preprint PDF DOI

False Metallization in Short-Ranged Machine Learned Interatomic Potentials

Isaac J. Parker, Mandy J. Hoffmann, William J. Baldwin, Shuang Han, Srishti Gupta, Kara D. Fong, Angelos Michaelides, Christoph Schran, Sandip De, Gabor Csanyi · 2026

Machine learned interatomic potentials (MLIPs) have enabled atomistic simulations with ab initio accuracy for a fraction of the computational cost. However, many widely used MLIPs are short-ranged and…

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Chemistry Preprint PDF DOI

Chemical Reaction Engineering and Catalysis: AI/ML Workflows and Self-Driving Laboratories

Rigoberto Advincula, Jihua Chen · 2026

Chemical reaction engineering is key to industrial might and sustainable chemistry. This will be enabled using smart, efficient catalysts or catalysis ecosystems. This is possible with advanced artifi…

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Chemistry Preprint PDF DOI

An accurate theoretical framework for the optical and electronic properties of paracyclophanes

Vladislav Slama, Camila Negrete-Vergara, Elnaz Zyaee, Silvio Decurtins, Pascal Manuel Hanzi, Thomas Feurer, Shi-Xia Liu, Ursula Rothlisberger · 2026

Aromatic $\pi$-stacking interactions play an important role in both natural and artificial systems, influencing processes such as charge separation in photosynthesis and charge transport in organic se…

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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 · 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 intera…

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Chemistry Preprint PDF DOI

El Agente Estructural: An Artificially Intelligent Molecular Editor

Changhyeok Choi, Yunheng Zou, Marcel Muller, Han Hao, Yeonghun Kang, Juan B. Perez-Sanchez, Ignacio Gustin, Hanyong Xu, Andrew Wang, Mohammad Ghazi Vakili, Chris Crebolder, Alan Aspuru-Guzik, Varinia Bernales · 2026

We present El Agente Estructural, a multimodal, natural-language-driven geometry-generation and manipulation agent for autonomous chemistry and molecular modelling. Unlike molecular generation or edit…

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Chemistry Preprint PDF DOI

Accelerating Density Fitting with Adaptive-precision and 8-bit Integer on AI Accelerators

Hua Huang, Wenkai Shao, Jeff Hammond · 2026

The emergence of artificial intelligence (AI) accelerators like NVIDIA Tensor Cores offers new opportunities to speed up tensor-heavy scientific computations. However, applying them to quantum chemist…

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Chemistry Preprint PDF DOI

Ion Clustering Regulated by Extreme Nanoconfinement Enables Mechanosensitive Nanochannels

Ke Zhou · 2026

Mechanosensitive ion nanochannels regulate transport by undergoing conformational changes within nanopores. However, achieving precise control over these conformational states remains a major challeng…

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Chemistry Preprint PDF DOI

Interpretable Machine Learning for Quantum-Informed Property Predictions in Artificial Sensing Materials

Li Chen, Leonardo Medrano Sandonas, Shirong Huang, Alexander Croy, Gianaurelio Cuniberti · 2026

Digital sensing faces challenges in developing sustainable methods to extend the applicability of customized e-noses to complex body odor volatilome (BOV). To address this challenge, we developed MORE…

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Chemistry Preprint PDF DOI

Panchromatic Absorbing Materials: Molecular Design and Challenges in Photovoltaic Applications

Hsien-Hsin Chou · 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 abso…

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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 · 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 vis…

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Chemistry Preprint PDF DOI

QSAR-Guided Generative Framework for the Discovery of Synthetically Viable Odorants

Tim C. Pearce, Ahmed Ibrahim · 2025

The discovery of novel odorant molecules is key for the fragrance and flavor industries, yet efficiently navigating the vast chemical space to identify structures with desirable olfactory properties r…

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Chemistry Preprint PDF DOI

Pushing the limits of one-dimensional NMR spectroscopy for automated structure elucidation using artificial intelligence

Frank Hu, Jonathan M. Tubb, Dimitris Argyropoulos, Sergey Golotvin, Mikhail Elyashberg, Grant M. Rotskoff, Matthew W. Kanan, Thomas E. Markland · 2025

One-dimensional NMR spectroscopy is one of the most widely used techniques for the characterization of organic compounds and natural products. For molecules with up to 36 non-hydrogen atoms, the numbe…

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