Recent trends in computational tools and data-driven modeling for advanced materials-Reference-Cited by-同舟云学术

Recent trends in computational tools and data-driven modeling for advanced materials

Published:2022 Issue:10 Volume:3 Page:4069-4087
ISSN:2633-5409
Container-title:Materials Advances
language:en
Short-container-title:Mater. Adv.

Author:

Singh Varshika¹²³,Patra Santanu¹²,Murugan Natarajan Arul⁴⁵^ORCID,Toncu Dana-Cristina¹⁶,Tiwari Ashutosh¹^ORCID

Affiliation:

1. Institute of Advanced Materials, Gammalkilsvägen 18, 590 53 Ulrika, Sweden

2. VBRI Innovation Centre, 7/16 Kalkaji Extn, New Delhi, 110019, India

3. University Institute of Biotechnology, Chandigarh University, Mohali, 140413, India

4. Department of Computer Science, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden

5. Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi 110020, India

6. School of Chemistry, University College Dublin, Belfield, Dublin 4, Ireland

Abstract

The paradigm of advanced materials has grown exponentially over the last decade, with their new dimensions including digital design, dynamics, and functions.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science,Chemistry (miscellaneous)

Link

http://pubs.rsc.org/en/content/articlepdf/2022/MA/D2MA00067A

Reference132 articles.

1. Computer simulation of the relationship between selected properties of laser remelted tool steel surface layer

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5. Why Materials Theory?

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