Nano-Device Engineering: Energy and Sensing Applications
Explore nanotechnology applications in energy harvesting and sensing, focusing on nanomaterial synthesis and device fabrication for engineering solutions.
Explore nanotechnology applications in energy harvesting and sensing, focusing on nanomaterial synthesis and device fabrication for engineering solutions.
This comprehensive course explores nanotechnology with emphasis on nanomaterials synthesis and applications in civil and environmental engineering. Students learn about nano-scale effects, material characterization, and device fabrication for energy harvesting and sensing. The curriculum covers thermoelectric and piezoelectric technologies, combining materials science with civil and electrical engineering principles. Practical labs provide hands-on experience in nano-structure characterization and device fabrication, while machine learning applications in materials discovery are also explored.
Instructors:
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What you'll learn
Master fundamental concepts of nanomaterials and nanostructures
Understand various nanomaterial fabrication methods
Design and fabricate thermoelectric devices for energy harvesting
Develop piezoelectric sensors for civil engineering applications
Apply machine learning techniques in materials discovery and energy applications
Skills you'll gain
This course includes:
Live video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 5 modules in this course
This interdisciplinary course combines nanotechnology, materials science, and engineering principles to explore advanced applications in energy harvesting and sensing. The curriculum progresses from fundamental concepts of nanomaterials to practical applications in device fabrication. Students learn about thermoelectric and piezoelectric technologies, their characterization, and applications in civil and environmental engineering. The course culminates with modern approaches using machine learning for materials discovery and energy applications.
Thermoelectric Fundamentals
Module 1 · 3 Hours to complete
Thermoelectric Applications
Module 2 · 3 Hours to complete
Piezoelectricity Fundamentals
Module 3 · 3 Hours to complete
Piezoelectric Devices
Module 4 · 3 Hours to complete
Machine Learning in Materials Science
Module 5 · 3 Hours to complete
Instructors
Advanced Materials and AI Engineering Researcher
Guangshuai Han is a Ph.D. student in Civil Engineering at Purdue University, having completed his bachelor's degree from Harbin Institute of Technology, China. As an interdisciplinary researcher, he focuses on solving advanced materials and sensing challenges in engineering through AI technology. His research spans multiple areas including flexible electronic materials, molecular dynamics simulations, structural health monitoring, and AI-guided advanced material exploration and design, with particular emphasis on developing piezoelectric sensors for civil engineering applications
Advanced Materials and Sustainable Infrastructure Researcher
Yining Feng is a Research Assistant Professor at the Lyles School of Civil Engineering at Purdue University, where she previously completed her Ph.D. (2020) and M.S. (2016) after earning her B.S. from Dalian Maritime University (2014). Her research focuses on developing innovative nanomaterials and device technologies for sustainable infrastructure and environmental health applications, with particular emphasis on flexible sensors for biological and environmental monitoring. Her work has garnered significant attention in the academic community, with over 1,100 citations of her publications in materials science, infrastructure development, nanotechnology, and energy harvesting. She currently leads interdisciplinary research projects combining artificial intelligence with materials science to advance the development of piezoelectric materials and sustainable infrastructure solutions
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