Course Name: Soft Nano Technology

Course abstract

The fabrication of large area polymer structures with feature sizes ranging from few microns down to the molecular level is key to various technologically important areas, examples of which include molecular electronics, flexible display screens, optical sensors, structural colour, reusable super adhesives, super hydrophobic and self-cleaning surfaces, scaffolds for tissue engineering etc. The meso scale, which ranges from a few nm to few microns, interfaces the molecular and the macroscopic worlds. Thus, it becomes possible to observe simultaneous signatures of molecular interactions as well as macroscopic effects at these length scales, often giving rise to exciting new phenomena. The success of the desired applications, harvesting the extraordinary scientific phenomena occurring at these length scales, depends strongly on the availability of suitable, easy to implement patterning techniques that can create defect-free structures over large areas followed by their accurate characterization.


Course Instructor

Media Object

Prof. Rabibrata Mukherjee

Rabibrata Mukherjee is presently an Associate Professor in the Department of Chemical Engineering at IIT Kharagpur, where he joined in May 2009. Prior to joining IIT Kharagpur, he was a Scientist at Central Glass & Ceramic Research Institute, Kolkata for 12 years. A B.Tech.fromJadavpur University in 1994 and M Tech from IIT Kharagpur in 2003, Rabibrata obtained his PhD in 2007 from IIT Kanpur, under the guidance of Prof. Ashutosh Sharma. For his PhD thesis he won the prestigious Shah Schulman Best PhD thesis award in colloids and interfacial science from IIChE in 2008.


More info

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jan-Mar 2022

  View Course

 Enrollment : 14-Nov-2021 to 31-Jan-2022

 Exam registration : 13-Dec-2021 to 18-Feb-2022

 Exam Date : 27-Mar-2022

Enrolled

Will be announced

Registered

Will be announced

Certificate Eligible

Will be announced

Certified Category Count

Gold

Will be announced

Silver

Will be announced

Elite

Will be announced

Successfully completed

Will be announced

Participation

Will be announced

Success

Elite

Gold





Legend

Final Score Calculation Logic

Enrollment Statistics

Total Enrollment: 690

Assignment Statistics




Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.