The Asian Consortium on Computational Materials Science (ACCMS) was set up in 2000 in order to nurture and promote research and development activities in computational materials in Asian countries. ACCMS entered into the 16th year of existence and the conduct of 10 successful conferences and 12 general meetings of this virtual organization have boosted the computational materials research in the Asian region. In order to optimally utilize our resources and manpower, it is widely felt that we should have a ‘real’ organization to steer young researchers towards computational research. It is envisaged that the conduct of International Conference on Material Genome at SRM University, AP-Amaravati, will lay the foundation for an active center of ACCMS on campus.

SRM University, AP-Amaravati is equipped with world-class infrastructure and is wholly committed to bring together, researchers from around the world for exploring and linking areas for mutual collaboration and growth.

The Asia-Pacific Society for Advanced Materials (APSAM) was established formally in Shanghai, April 26-30, 1992. At the General Assembly of the APSAM held in Shenyang (China) in June 22-26, 1997, the society was formally transformed into the Asia Pacific Academy of Materials (APAM).

Welcome Message 

During ACCMS-ICMG 2020, we will offer invited speakers accommodation in hotels, in the vicinity. The invited speakers are not required to pay any registration fee and are welcome to attend the banquet and the half-day tour.

(Click here for a brief introduction to the half-day tour)

For participants, paid accommodation on sharing basis will be provided in the hostels. If participants wish to choose their own hotel accommodation, on payment basis, details can be found here:

(Click here for information on hotels)

Objectives of Theme Meeting 

The enormous leap in computational approaches followed by experiments over the past three decades, demonstrates vividly that this approach can play a key role in solving challenging research problems. Quantum Mechanics based calculations followed by Machine Learning (QM/ML) is proposed as the approach to solve the large probabilistic problems. The objective of the meeting is to provide a forum for recent advances in experiment, theory and data science to discover new materials and understand the fundamental properties of the materials. The current status interface future plans and prospects will be highlighted, covering all the recent developments in First-Principles calculations, experiment, materials database and Machine Learning for materials will be discussed, considering both positive and negative perspectives.


  • Machine Learning for materials
  • High-throughput Computation
  • CO2 reduction, CO Oxidation
  • Nitrogen reduction
  • Storage materials – Batteries
  • Materials for Solar Cell Applications
  • Processing of electronic material
  • Computation aided discovery of functional oxides
  • Ferroelectric and Piezoceramics
  • Polar Magnetic Materials
  • Thermoelectric Materials
  • 2D Materials and Device Application
  • Symposium on “Statistical physics of Materials Breakdown”

Important Dates

Dates of the Conference 5-7 February, 2020
Last date of registration and submission of abstract 31st October
Acceptance of abstracts 15th November
Last date for payment of fee 30th November


  • Kawazoe award – for three Best Posters
  • Young Researcher Awards
  • Registration Fee includes food, banquet, dinner, conference kits, attendance to Conference Lectures
  • Free half-day tour of temples on 7th February, 2020
  • Papers will be published in a Special Issue (peer-reviewed) of 'Journal of Electronic Materials' which has an impact factor of 1.676

Contact Us: 

For registration, visa, hotel arrangements, guide on Amaravati, Abstracts & Technical Programs and more on ACCMS-ICMG, 2020.
Email: accms@srmap.edu.in

Ms. Neha Goenka
Email: accms@srmap.edu.in
Tel- +91 8081675899

Prof. Ranjit Thapa 
E-mail:  ranjit.t@srmap.edu.in
Tel: +91 9176296112 

Dr. Soumyajyoti Biswas
Email: soumyajyoti.b@srmap.edu.in
Tel- +91 9831446167