As an important supplementary to machining experiments, molecular dynamics (MD) simulation has been demonstrated to be a powerful tool for elucidating fundamental mechanical machining mechanisms of different kinds of materials.
As shown in the animation contained in Supplementary Video SV2, the machine, upon inputting a binary string, halts after prepending 0. The "Thue" file encoding this Turing machine is included as Supplementary File S2.
As shown in the animation contained in Supplementary Video SV1, the machine (using a binary string as input) halts after prepending 0 to the string.
Additionally, hypothesis-driven methods are built on optimised models derived from artificial intelligence domains, which can learn and evolve without explicit programming, and validate the created model using data from multiple and independent data sets (i.e. machine learning, supplementary-table-1 for related terminology).
Figure 6 shows an example of the output page of the query "Sinomenine" (a constituent compound of "boiogito": see red rectangle in Supplementary Fig. 2) with the machine learning option in the "Target prediction" component.
In addition, SSC produces fast simulations (cf. Supplementary Material) by directly generating machine code tailored to a specific architecture.
Furthermore, it is again possible to visualize the actions of the machine using "Thue" (Supplementary Video SV3).
Although SATuRNo did not outperform all the classifiers, it showed higher classification accuracy than most of the models, including support vector machine classifiers (see Supplementary Material with details in Table 5).
The ".jff" file encoding this Turing machine is included as Supplementary File S1.
The "Thue" file encoding this Turing machine is included as Supplementary File S3.
We provide our machine learning workflow as a supplementary KNIME archive file.
