Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Pavan Inguva"'
Publikováno v:
Data-Centric Engineering, Vol 1 (2020)
Multicomponent polymer systems are of interest in organic photovoltaic and drug delivery applications, among others where diverse morphologies influence performance. An improved understanding of morphology classification, driven by composition-inform
Externí odkaz:
https://doaj.org/article/6149e7f797ed42ba817a9034186baac0
Autor:
James Campbell, Vijesh J. Bhute, Umang V. Shah, Henrico Yuwono, Andrew Macey, Clemens Brechtelsbauer, Benjamin Tan, Pavan Inguva
Publikováno v:
Education for Chemical Engineers. 37:22-28
The CREATE labs, a hybrid laboratory experience suitable for remote learning was developed at Imperial College in response to the COVID-19 pandemic. To facilitate the transformation from traditional to remote labs, a systematic review of offered proj
Despite being a technology of several decades, high pressure homogenization (HPH) remains widely used in food and pharmaceutical industries, often as an essential unit operation in liquid product processing. Continual advances in the technology are m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfea39f3f5ff79a70f62262c6426d1b5
https://doi.org/10.26434/chemrxiv-2022-x2cml
https://doi.org/10.26434/chemrxiv-2022-x2cml
Autor:
Pavan Inguva, Clemens Brechtelsbauer, Andrew Macey, Nicholaus Prasetya, Peter A. DiMaggio, Umang V. Shah, Mingrou Xie, Wenqian Chen
Publikováno v:
Journal of Chemical Education. 97:1001-1007
The objective of the presented module is to train students with no background in process development and scaleup of chromatographic processes to a high level of competency within 40 contact hours. The key pedagogical approach is “progression” whe
The Cahn–Hilliard equation is commonly used to study multi-component soft systems such as polymer blends at continuum scales. We first systematically explore various features of the equation system, which give rise to a deep connection between tran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccf250bd7d348ca6e206fc9788027e8e
http://hdl.handle.net/10044/1/91155
http://hdl.handle.net/10044/1/91155
Publikováno v:
Education for Chemical Engineers
Teaching laboratories form an essential component of any engineering education. They enable students to participate in various stages of experiential learning including conceptualization and experimentation followed by reflection, analysis and interp
Recent releases of open-source research codes and solvers for numerically solving partial differential equations in Python present a great opportunity for educators to integrate these codes into the classroom in a variety of ways. The ease with which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a76aa7ad093f0f810bb91e6254501430
http://hdl.handle.net/10044/1/86926
http://hdl.handle.net/10044/1/86926
Key components of any experiential learning module are the resources students use to learn. These typically include laboratory equipment, handouts, and instructional material in the form of videos or standard operating procedures (SOPs). Their design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::969bca451c8ee381ee92b9ba3ea9f336
http://hdl.handle.net/10044/1/88408
http://hdl.handle.net/10044/1/88408
We have conceptualized the Discovery Laboratory at Imperial College London into an educational framework that enables independent learning among students. The study demonstrates an effective implementation of the framework with associated benefits fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df2959220c06bfa6259343a96a6be2df
http://hdl.handle.net/10044/1/77911
http://hdl.handle.net/10044/1/77911
Publikováno v:
Data-Centric Engineering. 1
Multicomponent polymer systems are of interest in organic photovoltaic and drug delivery applications, among others where diverse morphologies influence performance. An improved understanding of morphology classification, driven by composition-inform