Thin films made of carbon nanotubes hold a lot of promise for advanced optoelectronics, energy and medicine, however with their manufacturing process subject to close supervision and stringent standardization requirements, they are unlikely to become ubiquitous anytime soon.
"A major hindrance to unlocking the vast potential of nanotubes is their multiphase manufacturing process which is extremely difficult to manage.
We have suggested using artificial neural networks (ANN) to analyze experimental data and predict the efficiency of single-walled carbon nanotubes synthesis," explains one of the authors of the study and Skoltech researcher, Dmitry Krasnikov.
In their work published in the prestigious Carbon journal, the authors show that machine learning methods, and, in particular, ANN trained on experimental parameters, such as temperature, gas pressure and flow rate, can help monitor the properties of the carbon nanotube films produced.
"The development of human civilization and the advancement of the materials manufacturing and application technologies are closely interlinked in the era of information and technology, with both materials and computational algorithms and their applications shaping our day-to-day life.
This is equally true for ANN that have evolved into an indispensable tool for dealing with multi-parameter tasks, which run the gamut from object recognition to medical diagnosis.
You know you have a skeleton, but did you know that your cells have skeletons, too?
Understanding how cells control movement could one day lead to tiny, bioinspired robots for therapeutic applications.
The building blocks of the cellular cytoskeleton are thin, tube-like filaments called microtubules that can form together into three-dimensional scaffolds.
Each microtubule is 1,000 times thinner than a human hair and only about 10 micrometers long (about 1,000 times smaller than a common black ant).
Along with motor proteins that power movement, these incredibly small structures combine to propel the relatively large cell--like ants steering and powering a car.
How asters in a test tube are related to a cytoskeleton powering cell movement, however, is still unclear.
Indian Institute of Engineering Science and Technology - [IIEST] is a private university inaugurated in 1856 situated in Shibpur, West Bengal.
It was accredited by UGC, Before taking its original name, IIEST, Shibpur was called the Bengal Engineering College.
Bishop's college stood on the site before IIEST was built.
Students will be able to benefit from the organization's research with a variety of disciplines and world-class technologies to work on and support their studies.
It is the second oldest college in the country and ranks 21st among engineering colleges in NIRF's rankings.
The university is governed by the National Institute of Technology Council.
There is no doubt, people believe in many reasons, why something should be captured well.
Somethings were not easy to be found!With, much leisure, there are many things and facts that are recorded well, with the help of a team working towards it.
There is not much time today for everybody to such serial findings possible Thus, to conserve what has been done and make sure, we do not any record, it so very necessary to write or preserve knowledge about things and the findings that were not easy to find.
Repeating a single procedure would not be a wise thing!The normal time range taken I making the simple things possible and necessary for the first time would be a lengthier measure.
It is difficult and different when one fails to record the results and then again the same thing has to be redone.The next time, it would be a failure of the first events and a re-investment.
What are the few things to take note of, while writing a journal?
For further details, they are advised to contact the concerned Admitting Institute(s).
(e) The candidates who have either appeared or are due to appear in the final examination of their qualifying degree in 2018 are also eligible to appear in the test.
(g) On the basis of performance in JAM 2018, for each test paper, separate merit lists will be prepared for General (GEN), OBC Non-Creamy Layer (OBC-NCL), SC, ST, and Persons with Disability (PwD) category candidates.
(Two Years), Joint M.Sc.-Ph.D., M.Sc.-Ph.D. Dual Degree, and other Post-Bachelor’s Degree Programmes at different IITs to which
admissions shall be made on the basis of JAM 2018.
a) IIT Bhubaneswar (IITBBS): Joint M.Sc.-Ph.D. Programmes in (i) Chemistry,
