Machine Learning Increases Discovery Of New Materials

Posted: May 10 2016, 8:42am CDT | by , in News | Latest Science News


Machine Learning Increases Discovery of New Materials
Adaptive design framework. Credit: Los Alamos National Laboratory
  • Machine Learning increases Discovery Process of Novel Substances

It has become clear that machine learning significantly increases the discovery process of novel substances.

The experts have recently discovered much to their surprise that an informatics-oriented scheme of designing may be integrated into normal everyday experiments.

This will act as a catalyst to further speed up the search of new materials. These materials will have pinpointed properties. The study was published in the journal Nature Communications.

Starting with a few experiments along with their initial data, new experiments can be designed that yield a plethora of substances and materials. It is truly a case of science and the scientific method at their all time best. 

The discovery of novel materials has had the usual inputs: trial and error, intuition, intelligence as well as instinct. Yet with the chemical complexity that ensues in concordance with such a primitive approach the whole plan becomes defunct and outdated.

The new framework employs the law of chance and probability to act as a series of guidance pointers for future experiments. Basically, the search is for a shape-memory alloy.

This alloy will help in the warding away of metal fatigue. The time in which materials reach the market hub and their average prices will be slashed considerably thanks to this scheme of things. 

The whole system has its origins in the “mad science” of machine learning. This is the first such study into the matter and it is hoped that it will yield a ton of results.

The main focus has been on the genesis of screen databases. Thousands of calculations related to quantum mechanics took place in the context of this study.

The level of complexity involved was absolutely mind-boggling. As for the feedback loop that was introduced in the study, it was something that has never happened before in history. 

The emphasis was on nickel-titanium-based shape-memory alloys. Polymers, ceramics and nanotechnology were all a part of this grand experiment.

Also target properties such as dielectric response, piezoelectric coefficients and band gaps were looked into. The space for chemical experimentation was made and it led to optimal conditions for the creation of novel materials in the end. More fine-tuning will be required in the future since this is a nascent technology.

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<a href="/latest_stories/all/all/20" rel="author">Sumayah Aamir</a>
Sumayah Aamir (Google+) has deep experience in analyzing the latest trends.




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