To understand materials, computational materials science and engineering employs modelling, simulation, theory, and informatics. Discovering novel materials, figuring out how materials behave and work, deciphering tests, and investigating hypotheses about materials are the key objectives. Materials scientists have been on the cutting edge of research for decades, if not centuries, due to the growing desire for efficient power generation and environmentally friendly air travel. One such area that covers the complete materials development cycle is computational materials science. Improved performance, quick microstructural investigation, and quick property evaluation are all examples of rapid process development. Everything at a discount. Computational Materials Science CMS/Integrated Computational Materials Engineering's ultimate goal ICME. Faster materials research and alloy development cycles have been made possible by the computer revolution. A whole experiment may now be done on a desktop computer instead of more expensive equipment because to faster and more affordable computational resources.
Since the successful discovery and isolation of graphene in 2004, and the subsequent explosion and continuation of two-dimensional (2D) materials are undergoing and lasting until now. Although the…
Sessions are CPD-accredited; certificates issued to every registered delegate within two weeks of the conference.
Oral and poster slots for original Computational Material Science work, reviewed by the scientific committee.
Meet materials researchers, engineers, and academics from around the world across three days.
Accepted abstracts appear in the indexed conference proceedings with a citable DOI.
Plenary lectures from leading voices shaping Computational Material Science research and practice.
Attend in person in Singapore or join virtually — same programme, same certificate.
Oral and poster slots for your work — in person in Singapore or online. Not presenting? Attend as a delegate to learn from the field.
The Computational Material Science track is a dedicated stream within Materials 2027 covering the latest research, methods, and applications in Computational Material Science. It brings together researchers, engineers, and academics for oral presentations, posters, and discussion.
Materials researchers, engineers, educators, doctoral students, and R&D leaders with an interest in Computational Material Science are all welcome — whether presenting or attending.
Yes. Submit an abstract for oral or poster presentation. All submissions are peer-reviewed by the scientific committee; accepted abstracts appear in the indexed proceedings.
Yes. Materials 2027 is a hybrid conference — attend the Computational Material Science track in person in Singapore or join live online, with on-demand access afterward.
Singapore · March 18–20, 2027· Hybrid · in-person & virtual
Attend without presenting.
