Advanced Band Gap Energy Calculations

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Shahid Ali

2:05:13

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1 - Introduction and a Promo video

1 - Introduction.mp4

05:00

1 - Video-Transcript-CloseCaption.docx

1 - bandgap-energy.zip

2 - Data Normalization and Correction

2 - 1.normalizing-of-data-0-1.zip

2 - Normalization of UVVis absorbance data.mp4

05:39

2 - presentation1.zip

3 - 1a.normalizing-of-data-by-subtracting-baseline.zip

3 - Normalization of UVVis absorbance data with baseline correction.mp4

12:19

3 - presentation12.zip

4 - 2.normalizing-ftir-data-0-100.zip

4 - 3.normalizing-uv-vis-data-0-1.zip

4 - Normalization and correction of UVVis absorbance data.mp4

05:49

3 - Fundamentals of UVVis Absorption Analysis

5 - How to calculate band gap energy from UVVis absorption data.mp4

11:54

5 - Video-Transcript-CloseCaption.docx

5 - bandgap-energy.zip

4 - Band Gap Energy Calculations

6 - Calculate band gap energy from UVVis absorbance in origin.mp4

01:55

6 - Video-Transcript-CloseCaption.docx

6 - bandgap-energy-simple.zip

6 - tio2.zip

7 - 1.uv-vis-bandgap-energy-htb.zip

7 - 2.pl-ex-em.zip

7 - How to calculate bandgap energy from photoluminescence PL data.mp4

12:04

7 - Video-Transcript-ColseCaption.docx

7 - eg-from-pl.zip

8 - How to calculate bandgap energy from UVVis reflection DRS data.mp4

10:38

8 - Video-Transcript-CloseCaption.docx

8 - bandgap-energy.zip

8 - tio2-nps.zip

9 - Band gap energy with baseline correction using Tauc plot from UVVis absorbance.mp4

03:56

9 - Video-Transcript-ColseCaption.docx

9 - bandgap-energy-baseline.zip

9 - tio2.zip

5 - Concentration Estimation

10 - How to estimate the concentration from UVVis data using BeerLamberts law.mp4

05:37

10 - Video-Transcript-ColseCaption.docx

10 - absorbance-vs-concentration.zip

10 - t47.zip

6 - Nanoparticle Characterization

11 - How to estimate the size of nanoparticles from UVVis absorbance.mp4

07:40

11 - Video-Transcript-ColseCaption.docx

11 - size-estimation-nps.zip

11 - spr.zip

12 - How to accurately calculate size morphology and distribution of NPs.mp4

29:59

12 - SPRFit.rar

12 - Video-Transcript-ColseCaption.docx

12 - fig-5-fitting-spr-au-sl.zip

12 - size-calculation-nps.zip

7 - Advanced UVVis Analysis Techniques

13 - How to calculate Urbach energy from UVVis absorbance data.mp4

09:45

13 - Video-Transcript-ColseCaption.docx

13 - urbach-energy.zip

14 - Absorption coefficient calculation from UVVis absorbance data.mp4

02:58

14 - Video-Transcript-ColseCaption.docx

14 - absorption-coefficient.zip

Description

Nanoparticle Characterization Techniques

What You'll Learn?

How to calculate band gap energy using UV-Vis absorption and photoluminescence (PL) data
How to estimate concentration accurately from UV-Vis absorbance data
To estimate nanoparticle size and morphology using UV-Vis absorbance data
Urbach energy calculation and absorption coefficient α determination

Who is this for?

Material Science and Chemistry Students

Researchers and Scientists

Analytical Chemistry Professionals

Academic Educators

Lab Technicians and Engineers

What You Need to Know?

Basic Understanding of UV-Vis Spectroscopy

Familiarity with OriginLab Software

Understanding of Nanoparticle Characterization

Background in Material Science or Chemistry

More details

Description
Welcome to the comprehensive course on "Advanced UV-Vis Analysis for Material Characterization"! This course is a deep dive into the intricate realm of UV-Vis absorption analysis using Origin software, covering fundamental principles and advanced techniques essential for modern materials characterization. In Section 1, we establish the foundation with an exploration of the basics, guiding you on how to calculate band gap energy from UV-Vis absorption data, setting the stage for the more complex analyses that follow. Moving on to Section 2, we venture into band gap energy calculations from various perspectives - from photoluminescence (PL) and UV-Vis reflection (DRS) data to Tauc plots with baseline correction. Section 3 focuses on concentration estimation, a pivotal aspect of analytical chemistry. Here, we demonstrate how to accurately estimate concentration using Beer-Lambert's law and UV-Vis absorbance data. Section 4 delves into nanoparticle characterization, revealing methodologies to estimate nanoparticle size, morphology, and distribution, crucial for researchers in the field of nanotechnology. The course takes an advanced turn in Section 5, where we explore Urbach energy calculation and absorption coefficient Î± determination, providing deep insights for precise analysis. Finally, in Section 6, we tackle data normalization and correction, imperative for accurate UV-Vis absorbance data interpretation. Through a series of detailed video tutorials, we empower you to master these techniques, enhancing your skills in UV-Vis analysis and material characterization. By the end of this course, you'll possess the knowledge and practical expertise needed to navigate the complexities of UV-Vis absorption analysis and unlock valuable insights into material properties. Join us and embark on this enlightening journey into the world of advanced UV-Vis analysis!
Who this course is for:
Material Science and Chemistry Students
Researchers and Scientists
Analytical Chemistry Professionals
Academic Educators
Lab Technicians and Engineers

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I am Dr. Shahid Ali Yousafzai, an Associate Professor of Physics at the University of Peshawar, Pakistan. My educational YouTube channel, SAYPhysics, is a specialized platform committed to providing free of cost extensive resources on Conceptual Physics, as well as undergraduate and graduate-level courses in the fields of Electrodynamics and Quantum Mechanics in Physics. Moreover, I extend support to research students in their academic pursuits by offering tutorials on the use of OriginLab software, which is an essential tool for data plotting and analysis, widely utilized worldwide. Additionally, I provide guidance on LaTeX, which is a prevalent software application for technical writing, commonly used for reports, articles, and theses. The channel also encompasses useful tips and tricks for Microsoft Office software applications like Word and Excel, which can be beneficial for students in their research work and technical writing endeavors.

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