
❓ Final quiz
Authored by Кирилл C.
Science
University
Used 2+ times

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31 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is of greatest interest for the design of new materials?
Solid state physics
Crystalline symmetry
Relationships "Structure - Property"
Performance characteristics of aerospace products
Machine learning
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why are periodic boundary conditions needed when describing crystals?
To plot an image of the crystal structure
To describe the elementary component of an infinite structure
Only to calculate the Coulomb interaction potential
To find a set of integers N describing the periods of translations
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How many atoms must be included in the minimal description of the unit cell of the structure shown in the figure?
1
2
3
4
4.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
What objects are used to describe the structure of crystals?
Primitive cell
Unit cell
Set of translation vectors
Voronoi tessellation
Least Absolute Shrinkage and Selection Operator
5.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
What is the Materials Project database designed for?
The Materials Project provides open web access to accurate information about known and suspected materials, as well as private access to the information needed to quickly and experimentally obtain these materials.
The Materials Project stores the results of material property calculations in the form of multi-level dictionaries and provides an API for loading and editing them. This data eliminates the need for experimental elastic property measurements when obtain new materials.
The Materials Project provides open web access to information about all known materials, as well as tools for downloading the data to local storage.
The Materials Project provides open web access to information about known and suspected materials, as well as analysis tools for theoretical and experimental development of materials.
6.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Summarize main steps for machine learning model building for materials properties prediction
Data acquisition
Model validation
Model selection and tuning
Feature engineering and selection
Removing correlated samples
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How are descriptors used in machine learning?
To describe complex systems or properties numerically
To describe a search query using lexical units
To translate string values into vector representation
To be used as a function to decrypt the output of a cryptographic analyzer
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