01:11:01
NMM-2023 (Valedictory Function)
46:43
Band Structure Calculations
01:10:50
Quantum Theory of Materials
44:49
SIESTA: case studies
48:01
Pseudopotential generation
44:09
Atom Code Installation
24:06
Familiarity with FDF and PSF file
08:05
Properties of Nano Tubes of Group IV Elements
09:59
NMM-2023
28:51
Siesta Installation - II
54:50
Siesta installation
01:15:55
DFT tools for Materials Modelling | Dr Arun Kumar
01:16:51
Relevence of Defective and Functionalized TMDs
02:50
Supercomputer
28:13
Improving the Deep Learning Models
23:52
Improving the Deep Learning Models
07:17
Improving the Deep Learning Models
11:44
NMM-2023
26:29
Pandas and Data Handling : 2
32:32
NMM-20 23 : Pandas and Data Handling
01:23:08
Numpy and Mataplotlib
56:02
NMM - 2023 : Linux Environment Setup and Commands in Linux : 2
48:54
NMM - 2023 : Linux Environment Setup and Commands of Linux
54:11
Introduction to Deep Learning | Dr. Rajendra Adhikari
01:00:26
Lecture.3 | Role of Supercomputer in Nano-Materials Modelling | Dr. Rajendra Adhikari
01:04:26
NMM-2023: From Atoms to Materials
07:20
NMM-2023: From Atoms to Materials
01:09:25
NMM-2023 Inaugural Session
X
About
#DrArunKumar
#Physics
#SIESTA
SIESTA for beginners and Basics of Physics
Basics of Physics and Density functional theory using SIESTA (DFT Tool) code.
Courses for PG Students (Electrodynamics and Quantum Mechanics)
Short course on Latex
email: arunphy@gmail.com
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