Химия
12 лекций
Towards Artificial Intelligence in Chemistry via the Rational Design of Chemical Compounds and Automated Discovery
Лекции
![](/img/hd/lecture/2022-09-16-Polinskiy.jpg?8267)
1
Лекция 1. Introductory lecture
00:49:18
![](/img/hd/lecture/2022-09-23-Polinskiy.jpg?8294)
2
Лекция 2. Python 3 and some common libraries
01:22:17
![](/img/hd/lecture/2022-09-30-Polinskiy.jpg?8486)
3
Лекция 3. Rational design tools: Specialized libraries, Cheminformatics and Quantum Chemistry Software
01:23:44
![](/img/hd/lecture/2022-10-07-Polinskiy.jpg?8542)
4
Лекция 4. Rational Disign Tools: Table Chemical Data, Molecular File Formats and Chemical Databases
01:25:27
![](/img/hd/lecture/2022-10-14-Polinskiy.jpg?8487)
5
Лекция 5. Illustrated Discussion of Some Machine Learning and Data Analysis Methods
01:22:30
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6
Лекция 6. Free Energy Relationships and Linear Regresion
01:31:44
![](/img/hd/lecture/2022-10-29-Polinskiy.jpg?8599)
7
Лекция 7. Chemical Structure and Molecular Descriptors
01:31:23
![](/img/hd/lecture/2022-11-11-Polinskiy.jpg?8781)
8
Лекция 8. Rational Design in Medicinal Chemistry
01:13:45
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9
Лекция 9. Rational Design of Materials and Recognized Issues of Machine Learning in Chemistry
01:04:48
![](/img/hd/lecture/2022-11-25-Polinskiy.jpg?9049)
10
Лекция 10. Rational Design of Catalysts
01:25:49
![](/img/hd/lecture/2022-12-02-Polinskiy.jpg?9050)
11
Лекция 11. Predicting Organic Reactions with Machine Learning
01:10:05
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12
Лекция 12. Machine Learning in Organic Synthesis. Robots in Chemistry. Deep Learning in Drug Design
01:15:13