Imagen de Portada

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

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Heng, Zhou, Jibin, Xu, Feiyang, Cui, Jian, Li, Yi, Yang, Fan, Wang, Hao, Li, Xin, Ye, Mao
Formato:	Preprint
Publicado:	2025
Materias:	Chemical Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Pre-trained knowledge elevates large language models beyond traditional chemical reaction optimizers
por: MacKnight, Robert, et al.
Publicado: (2025)

Multimodal machine learning with large language embedding model for polymer property prediction
por: Zhang, Tianren, et al.
Publicado: (2025)

A chemical language model for reticular materials design
por: Menon, Dhruv, et al.
Publicado: (2026)

Experimental methods in chemical engineering: Electrospinning
por: M. Olga Guerrero‐Pérez, et al.
Publicado: (2025)

Transforming chemical process engineering: The role of AI and machine learning in revolutionizing process systems
por: Somnath Chowdhury, et al.
Publicado: (2025)

Are large language models superhuman chemists?
por: Mirza, Adrian, et al.
Publicado: (2024)

Towards chemical accuracy with shallow quantum circuits: A Clifford-based Hamiltonian engineering approach
por: Sun, Jiace, et al.
Publicado: (2023)

Indirect solution modeling of melting behavior of SiO2 based on the image processing technology
por: Cunhao Lu, et al.
Publicado: (2024)

Experimental methods in chemical engineering: Monte Carlo
por: Ergys Pahija, et al.
Publicado: (2024)

Process design in chemical engineering CFD symposium
por: José Roberto Nunhez, et al.
Publicado: (2024)

Beyond the Dailey-Townes model: chemical information from the electric field gradient
por: Fabbro, G., et al.
Publicado: (2024)

Improving predictive performance for molecular ADMET properties using a chemical language model
por: Jong Hyeon Lim, et al.
Publicado: (2026)

Adsorption‐photocatalysis for methylene blue dye removal by novel Fe‐MOFs through defect engineering
por: Yang Zhao, et al.
Publicado: (2024)

A data-driven sparse learning approach to reduce chemical reaction mechanisms
por: Fang, Shen, et al.
Publicado: (2024)

Perovskite-R1: a domain-specialized large language model for intelligent discovery of precursor additives and experimental design
por: Wang, Xin-De, et al.
Publicado: (2025)

Preparation of BiOBrxCl1‐x solid solution photocatalyst with oxygen vacancies for degradation of methyl orange under simulated sunlight
por: Kunhua Ren, et al.
Publicado: (2024)

Experimental methods in chemical engineering–Validation of steady‐state simulation
por: Caroline Brucel, et al.
Publicado: (2025)

Experimental methods in chemical engineering: Atomic absorption spectrometry— AAS
por: Emily Cintia Tossi de A. Costa, et al.
Publicado: (2026)

Experimental methods in chemical engineering: X‐ray fluorescence— XRF
por: Mario Ferreiro González, et al.
Publicado: (2024)

Deep learning in chemical engineering: Strengths, weaknesses, opportunities, and threats
por: Konatala Satya Nooka Venkata Prasad, et al.
Publicado: (2026)

Thermal chemical reactivity in Frenkel exciton-polariton cavities
por: Cui, Bingyu, et al.
Publicado: (2026)

Synergistic integration of physical embedding and machine learning enabling precise and reliable force field
por: Xu, Lifeng, et al.
Publicado: (2024)

Ab initio surface chemistry with chemical accuracy
por: Ye, Hong-Zhou, et al.
Publicado: (2023)

Electrochemical Difunctionalization of Alkenes
por: Yin Zhang, et al.
Publicado: (2025)

Stochastic resolution of identity to CC2 for large systems: Excited-state gradients and derivative couplings
por: Zhao, Chongxiao, et al.
Publicado: (2025)

An efficient method based on the evolutionary center algorithm for optimizing chemical-diffusive models for flame acceleration and DDT
por: Xiao, Huahua, et al.
Publicado: (2026)

Chemical flooding in low‐grade reservoirs of Daqing Oilfield: Newly developed chemical systems and successful practices
por: Yanyong Wang, et al.
Publicado: (2025)

Experimental methods in chemical engineering: Electron probe micro‐analysis— EPMA
por: Viviane de Oliveira Campos, et al.
Publicado: (2025)

Effect of strength of gravitational field on the rate of chemical reactions
por: Baig, Mirza Wasif
Publicado: (2017)

Electric field gradient in accurate quantum chemical calculations
por: Derevianko, Andrei, et al.
Publicado: (2026)

Emission characteristics of ethanolamine and ammonia in CO2 capture process by chemical absorption based on ethanolamine solution
por: Xiaowen Yu, et al.
Publicado: (2025)

Dynamical theory of chiral-induced spin selectivity in electron donor-chiral molecule-acceptor systems
por: Zhang, Tian-Yi, et al.
Publicado: (2025)

Fault diagnosis method for chemical processes based on variable correlation‐guided convolutional neural networks
por: Zhe Zhou, et al.
Publicado: (2025)

Stochastic resolution of identity to CC2 for large systems: Oscillator strength and ground state gradient calculations
por: Zhao, Chongxiao, et al.
Publicado: (2025)

Extractive rectification using DES for benzene‐cyclohexane‐cyclohexene ternary azeotropic system
por: Wang Haiou, et al.
Publicado: (2024)

An improved guess for the variational calculation of charge-transfer excitations in large systems
por: Bogo, Nicola, et al.
Publicado: (2025)

GW with hybrid functionals for large molecular systems
por: Allen, Tucker, et al.
Publicado: (2024)

Local thermal probe in a one-dimensional chain: An efficient dissipaton-based approach
por: Qi, Hao-Yang, et al.
Publicado: (2026)

Efficient elevated temperature hydrogen direct purification and separation technology
por: Yurui Wang, et al.
Publicado: (2025)

Preface to the special issue section: Artificial intelligence and machine learning applications in chemical engineering
por: Simant Upreti
Publicado: (2024)