官方服务:
资源简介:
Predicted Viscosity for Ionic Liquids using Machine Learning
应用场景:
创建时间:
2022-01-17
相关数据集
Descriptor data for RHEA yield strength and plasticity
Yield Strength-Plasticity Trade-off and Uncertainty Quantification for Machine-learning-based Design of Refractory High-Entropy Alloys
DataCite Commons2025-11-18 更新230
Extensive Databases and Group Contribution QSPRs of Ionic Liquids Properties. 2. Viscosity
New quantitative structure–property relationships (QSPRs) for estimating dynamic viscosity (η) of pure ionic liquids (ILs) as a function of temperature and group contributions (GCs) are presented and
NIAID Data Ecosystem70
Entropy Scaling of Viscosity for Imidazolium Ionic Liquids with Dissolved Refrigerants Based on the Soft-SAFT Equation of State
The mixtures of ionic liquid/refrigerant are a promising working pair in absorption refrigeration, their viscosity, which is crucial for process design, changes significantly with composition and oper
Figshare2025-08-01 更新40
Density of Ionic Liquids Using Group Contribution and Artificial Neural Networks
Artificial neural networks and the concept of group contribution are simultaneously used to correlate and predict the density of ionic liquids. Different topologies of a multilayer feed forward artifi
NIAID Data Ecosystem80
A Robotic Platform for Synthesis of Colloidal Nanocrystals
Code, algorithm, and data are available to generate results that are reported in the paper and central to the main claims. 1. Code and README for data mining of synthesis parameters. 2. Code for readi
Zenodo2022-11-24 更新60



