top of page

7-Days Online Hands-on Training
|Online Live Sessions (1 hour Daily)|

Date: 3 August 2026 - 9 August 2026

Timing: Morning Batch: 9:00 AM - 10:00 AM IST (India)

or Evening Batch: 9:00 PM - 10:00 PM IST (India)
|Can't attend live? No worries! Participants will receive access to the complete lecture recordings via our web-portal|

|Programming and Coding Knowledge is Not Required|

whatsapp.jpg

Computational Characterization of Materials (CCM)

(Mechanical, Thermodynamic, Thermal, Optical and Electronic Characterization)

Software Packages: Quantum Espresso and Vesta

Speaker: Dr. Nikhil Aggarwal [Acad. Head (CACR); Ph.D. Chemical Science, IIT Madras; M.Sc. (University of Delhi)]

Introduction

We are glad to announce a 7-Hours Online Hands-on Training program on Computational Characterization of Materials [CCM] (using Free Software Tools: Quantum Espresso and Burai).

  • In recent years, major scientific and industrial interest has been attracted to the multiscale structures involving nanoparticles, thin films, monolayers, etc, and their structure-property relationships. The need for such novel materials demands understanding the changes in structural and dynamical properties caused at the microscopic level.

  • Computational materials science has become an indispensable tool for accelerating the discovery, design, and optimization of advanced materials. While most researchers are familiar with basic Density Functional Theory (DFT) calculations, extracting meaningful structural, mechanical, thermodynamic, thermal, optical, and electronic properties requires advanced computational workflows and a deeper understanding of first-principles methodologies. This intensive hands-on training program is designed to bridge that gap by providing participants with practical experience in computing publication-quality material properties using Quantum ESPRESSO. Through step-by-step demonstrations and guided exercises, participants will gain the skills needed to perform reliable, reproducible, and research-oriented calculations applicable to semiconductors, energy materials, nanomaterials, functional oxides, and other advanced material system.

Deadline- Date : 2nd August 2026, 9:00 PM IST (India)

Detailed Daywise Schedule

whatsapp.jpg

Day 1: Software Installation, Configuration and Computational Environment Setup

Learning Objectives

  • Install and configure all required software packages. Verify software integration through test calculations.

  • Understand the complete computational workflow used throughout the training.

​​

Hands-on Exercise - Participants will:

  • Install Quantum ESPRESSOConfigure pseudopotential librariesExecute sample SCF calculation

  • Troubleshoot common installation and configuration issues

​​​

Expected Learning Outcome

  • Participants will establish a fully configured and validated computational environment that is ready for all advanced material property calculations covered in the training.

Day 2: Equation of State (EOS) and Structural Characterization

Learning Objectives

  • Understand the relationship between crystal structure and total energy. Determine equilibrium structural parameters. Calculate bulk modulus using first-principles calculations.

​​

Theory

  • Fundamentals of Equation of State, Energy–Volume relationshipBirch-Murnaghan Equation of StateStructural stability

​​

Hands-on Exercise - Participants will:

  • Generate multiple lattice parametersPerform automated Energy–Volume calculationsConstruct EOS curveFit Birch-Murnaghan equation

  • Determine: Equilibrium lattice parameterEquilibrium volumeBulk modulusPressure derivative of bulk modulus

​​

Expected Learning Outcome

  • Participants will accurately determine structural properties and evaluate the compressibility of crystalline materials.

Day 3: Elastic Constants and Mechanical Properties/Characterization

Learning Objectives

  • Evaluate the mechanical stability of crystalline materials, Understand stress-strain relationships, Compute engineering mechanical properties.

Theory

  • Elastic tensorStress–strain relationshipMechanical stability criteriaVoigt approximationReuss approximationHill approximationElastic anisotropy

 

Hands-on Exercise - Participants will calculate:

  • Elastic constants (Cij)Bulk modulusShear modulusYoung's modulusPoisson's ratioElastic anisotropy indexMechanical stability

Expected Learning Outcome

Participants will compute complete mechanical properties and determine the structural stability of crystalline materials.

Day 4: Thermodynamic Properties/Characterization (Phonon Computations)

Learning Objectives

  • Understand temperature-dependent thermodynamic behavior, Evaluate vibrational contributions to material stability, Compute important thermodynamic functions.

​​

Theory

  • Harmonic approximationVibrational thermodynamicsTemperature-dependent propertiesThermodynamic stabilityImportance of free energy calculations

Hands-on Exercise - Participants will calculate:

  • Helmholtz free energyInternal energyEntropyHeat capacity (Cv)Temperature-dependent thermodynamic functions

 

Expected Learning Outcome

  • Participants will evaluate thermodynamic stability and understand temperature-dependent material behavior.

 

Day 5: Thermal Expansion and Debye Temperature

Learning Objectives

  • Investigate thermal behavior of crystalline materialsDetermine thermal expansion characteristicsEstimate Debye temperature from first-principles calculations.

 

Theory

  • Thermal expansion mechanismDebye theoryQuasi-harmonic approximationTemperature-dependent lattice parametersVolume expansion

 

Hands-on Exercise - Participants will calculate:

  • Thermal expansion coefficientDebye temperatureTemperature-dependent lattice parametersUnit-cell volume expansion

 

Expected Learning Outcome

  • Participants will evaluate thermal response and thermal stability of crystalline materials over a wide temperature range.

 

Day 6: Optical Properties of Materials (TD-DFT Computations)

Learning Objectives

  • Understand optical response of crystalline materialsCalculate important optical constantsInterpret optical spectra for advanced materials.

 

Theory

  • Optical transitionsComplex dielectric functionOptical response of semiconductorsOptical constantsApplications in optoelectronic materials

 

Hands-on Exercise - Participants will calculate:

  • Real dielectric function (ε₁)Imaginary dielectric function (ε₂), Optical absorption spectrumReflectivityRefractive indexExtinction coefficientElectron energy-loss function (ELF)

Expected Learning Outcome

  • Participants will generate publication-quality optical spectra and interpret optical behavior using first-principles calculations.

 

Day 7: Electronic Properties: Partial Density of States (PDOS) and Carrier Effective Mass

 

Learning Objectives

  • Investigate the electronic structure of crystalline materials, Identify orbital contributions responsible for electronic behavior, Calculate carrier effective masses for semiconductor applications.

Theory

  • Density of States (DOS)Partial Density of States (PDOS)Orbital-resolved electronic structureValence Band Maximum (VBM)Conduction Band Minimum (CBM), Effective mass theoryElectron and hole mobility (Quantitative)

Hands-on Exercise - Participants will perform:

  1. Partial Density of States (PDOS) and Carrier Effective Mass

  • Atomic projected DOS calculationsOrbital projected DOS calculations (s, p and d orbitals)Orbital contribution analysis near the Fermi levelIdentification of VBM and CBM orbital characteristics

  • Electron effective massHole effective massHigh-symmetry k-path generation, Comparison with reported literature values

 

Expected Learning Outcome

Participants will analyze orbital-resolved electronic structures, determine charge carrier effective masses, and correlate electronic properties with semiconductor, photovoltaic, photocatalytic, thermoelectric, and electronic material performance.

Distinguished International Advisory Board

Featuring Faculty from IITs, NITs and Leading Academic Institutions

Prof. (Dr.) Satyajit Banerjee.jpg

Prof. (Dr.) Satyajit Banerjee

  • 1

Professor

Indian Institute of Technology (IIT) Kanpur

Feinberg Postdoctoral Fellowship Awards, Weizmann Institute of Science, Israel

Dr. Sumit Basu.jpg

Prof. (Dr.) Sumit Basu

  • 1

Professor

Indian Institute of Technology (IIT) Kanpur 

Postdoctorate: Netherlands at Delft University of Technology & University of Groningen

Prof. (Dr.) Subrato Bhattacharya.jpeg

Prof. (Dr.) Subrato Bhattacharya

  • 1

Professor

Banaras Hindu University

Dinesh Jagadeeshan.jpg

Dr. Dinesh Jagadeesan

  • 1

Associate Professor

Indian Institute of Technology (IIT) Palakkad

Ontario Postdoctoral Fellowship from the Government of Ontario, Canada

profile icon.jpg

Dr. Raghavendra S C

  • 1

Associate Professor

Higher Colleges of Technology

United Arab Emirates (UAE)

Dr. Satyadeep Waiba.avif

Dr. Satyadeep Waiba

  • 1

Assistant Professor

Indian Institute of Technology (IIT) Bombay

Postdoctoral Fellowship: University of Bayreuth, Germany

suverna trivedi.png

Dr. Suverna Trivedi

  • 1

Assistant Professor

Indian Institute of Technology (IIT) Kharagpur

Fulbright Postdoctoral Fellow at the University of California, Berkeley

Dr Sonal.jpg

Dr. Sonal Shrivastava

  • 1

Assistant Professor

Indian Institute of Technology (IIT) Patna

Visiting Researcher at Washington University St. Louis, USA

Ambuj-Kumar-Gautam.png

Dr. Ambuj Kumar Gautam

  • 1

Assistant Professor

Indian Institute of Technology (IIT) Jodhpur​

dr. madhusmita mallik.jpg

Dr. Madhusmita Mallick

  • 1

Assistant Professor

Indian Institute of Technology (IIT) Bhubaneswar

Santanu-Mandal.jpg

Dr. Santanu Mandal

  • 1

Assistant Professor

Indian Institute of Technology (IIT) Bhubaneswar

Prof. Lutukurthi D N V V Konda.jpg

Dr. D N V V Konda Lutukurthi

  • 1

Assistant Professor

Indian Institute of Technology (IIT) - ISM Dhanbad

manwender.jpg

Dr. Manwendra Kumar Tripathi

  • 1

Associate Professor

National Institute of Technology (NIT) Raipur

sadhika.jpg

Dr. Sadhika Khullar

  • 1

Associate Professor

Dr. B R Ambedkar National Institute of Technology (NIT) Jalandhar

kumud.jpg

Dr. Kumud Kant Mehta

  • 1

Associate Professor

National Institute of Technology (NIT) Rourkela

Dr. Nabendu Paul.png

Dr. Nabendu Paul

  • 1

Assistant Professor

Maulana Azad National Institute of Technology (NIT) Bhopal

paresh.jpg

Dr. Paresh Salame

  • 1

Assistant Professor

Institute of Chemical Technology (ICT) Mumbai

anirban dutta.png

Dr. Anirban Dutta

  • 1

Assistant Professor

Malaviya National Institute of Technology (NIT) Jaipur

profile icon.jpg

Dr. Himanshu Pandey

  • 1

Assistant Professor

Sardar Vallabhbhai National Institute of Technology (NIT) Surat

kaushik.jpeg

Dr. Kaushik Talukdar

  • 1

Assistant Professor

National Institute of Technology (NIT) Meghalaya

Participants List: To be Updated​ at 9 pm IST, 25 July 2026

No
Order number
First Name
Last Name
Academic Status
Present University/ Industry enrolled
State, Country

Speaker: Dr. Nikhil Aggarwal

Currently, our organisation is under the leadership of Dr. Nikhil Aggarwal, who brings a wealth of knowledge and experience in the computational investigation of molecules, utilising various Density Functional Theory (DFT) approaches. Dr. Aggarwal earned his Ph.D. in Physical Chemistry from the prestigious Department of Chemistry at the Indian Institute of Technology (IIT) Madras in 2017, and he also holds both an M.Sc. and B.Sc. from the University of Delhi. With an impressive portfolio that includes five publications in highly respected international journals, such as those published by the American Chemical Society and Wiley, as well as a book published by Lambert Publishing House in Germany, Dr. Aggarwal has made significant contributions to the field. Furthermore, he was an active participant in the International Conference on Modern Computational Methodologies and Challenges held at the University of Washington, USA, in 2016.

He is actively committed to promoting computational science through online workshops and hands-on training in academic institutions and research industries. We take pride in being the first to offer hands-on training, both online and onsite, in quantum chemical calculations using Density Functional Theory (DFT) approaches. We are proud to announce that in just 5 years, he has successfully trained over 10,000+ graduate students, research scholars, professors, and industry experts from 70+ countries, including the US, UK, Saudi Arabia, Mexico, Brazil, Malaysia, Kuwait, Germany, Peru, South Korea, India, Finland, Turkey, Iraq, Australia, Philippines, Spain, Jordan, Chile, Taiwan, South Africa, Pakistan, Nepal, Bangladesh, Nigeria, Morocco, Egypt, Sri Lanka, and Algeria, Singapore, Columbia, Sweden, Botswana, Belgium, Canada. His efforts have garnered a rating of 4.76 out of 5.00 from more than 700 international and national participants in our previous workshops. This achievement reflects his commitment to providing high-quality training and education in computational chemistry.

We look forward to continuing our mission of empowering individuals across the globe with valuable skills and knowledge.

Salient Features

  • The Hands-on-Training Program is planned for Faculty, Post-docs, and post-graduate students.

  • The training session is well-designed to meet the needs of Research Articles

  • The links to download the required free software for training will be provided. We understand the Academic schedules of participants, so complete lecture recordings will be given to all participants.

  • Hands-on Training sessions will be held in an online mode via Zoom

  • Lecture Mode: English

  • e-certificates will be provided to all registered participants (subject to a minimum 3/7 attendance)

  • Training will be provided on the Windows Operating system

  • Programming and coding knowledge are not required for the above hands-on training.

  • On successful Registration, an automated email will be sent to confirm your participation.

whatsapp.jpg

Registration Deadline

Date : 2nd August 2026, 9:00 PM IST (India)

bottom of page