MOLINSTINCTS Product Summary

Mol-Instincts is…

A database providing thermo-physico-chemical & transport properties and fundamental molecular information of pure compounds.

Compounds Available:

More than 2.5 million compounds including:

  • Hydrocarbons, hetero-compounds (including atoms other than C and H), free radicals, and drug-like compounds
  • Compounds included in fuels such as gasoline, jet-fuel, diesel, and biodiesel
  • Compounds included in chemical processes such as thermal cracking, catalytic cracking, hydrocracking, desulfurization, isomerization,
    catalytic reforming, combustion, gas-to-liquid (GTL), coal-to-liquid (CTL), and methanol-to-olefin/gasoline (MTO/MTG)

Limitation: The maximum number of carbon atoms currently up to 57 (mostly to 25). Pure compounds with C, H, N, O, and S atoms only.

Property Data & Molecular Information Available:

More than 10 billion sets of data and information including:

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How Mol-Instincts Developed?

All the data and information were determined by…

The most advanced technology based on quantum chemistry, QSPR (Quantitative Structure–Property Relationships), and/or ANN (Artificial Neural Network) followed by 5+ years of professional verification with the corresponding experimental data available to date.

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How to access Mol-Instincts database…

Download and install Mol-Instincts Navigator software, which connects you to the Mol-Instincts database server online worldwide. Search all the compound list . Play with the 20 pre-determined demo compounds plus 10 compounds at your own choice (free). Then, choose a subscription plan fits for your purpose.

 

comprehensive accurate chemistry information and data

  • Constant Properties
  • T-dependent Properties
  • Spectroscopy
  • Compared to Other pproaches

Compared to Other pproaches

MOLINSTINCTS Accuracy Verification Compared to Other Well-Known Approaches
  • Patented chemical database

    估算热物理化学性质的方法有很多,大约有数百种商业软件和发表在科学期刊上的估算方法,其中一些被广泛用作过程仿真软件的内置模块。

    通常情况下,这些方法只在开发人员使用的有限的实验数据集内有效,而这些数据集通常只涉及数百个化合物。

    当我们用更大的实验数据集测试这些方法时,我们得到了完全不同的结果。估算误差会特别严重,所以我们无法在我们的项目中使用这些方法。


  • 单点击下面的项目查看示例。

我们的结论:评价技术的发展必须建立在了解化合物基本原理的基础上。