Results 1 to 10 of about 139,521 (150)

Materials informatics for developing new restorative dental materials: a narrative review [PDF]

Frontiers in Dental Medicine, 2023
Materials informatics involves the application of computational methodologies to process and interpret scientific and engineering data concerning materials.
Satoshi Yamaguchi, Hefei Li, Satoshi Imazato   +2 more
doaj   +4 more sources

Materials informatics approach to understand aluminum alloys [PDF]

Science and Technology of Advanced Materials, 2020
The relations between the mechanical properties, heat treatment, and compositions of elements in aluminum alloys are extracted by a materials informatics technique.
Ryo Tamura, Makoto Watanabe, Hiroaki Mamiya, Kota Washio, Masao Yano, Katsunori Danno, Akira Kato, Tetsuya Shoji   +7 more
doaj   +3 more sources

Focus on materials genome and informatics [PDF]

Science and Technology of Advanced Materials, 2017
A key challenge in the field of materials sciences is the continued search for new materials with specific desired functions.
Kiyoyuki Terakura, Ichiro Takeuchi
doaj   +3 more sources

Systematic searches for new inorganic materials assisted by materials informatics [PDF]

Science and Technology of Advanced Materials
We introduce our proprietary Materials Informatics (MI) technologies and our chemistry-oriented methodology for exploring new inorganic functional materials.
Yukari Katsura, Masakazu Akiyama, Haruhiko Morito, Masaya Fujioka, Tohru Sugahara   +4 more
doaj   +2 more sources

Methods, progresses, and opportunities of materials informatics

InfoMat, 2023
As an implementation tool of data intensive scientific research methods, machine learning (ML) can effectively shorten the research and development (R&D) cycle of new materials by half or even more.
Chen Li, Kun Zheng
doaj   +2 more sources

Materials informatics across the length scales

Machine Learning. Engineering
Materials informatics is increasingly used to support modelling, analysis and design across the length scales of materials science, from atomistic simulations to mesoscale evolution, microstructural characterisation and continuum-level property ...
Jamal Abdul Nasir, Hamide Kavak, Oğuzhan Der, Ali Ercetin, Amila Akagic, Jesper Friis, Francesca L Bleken, Andrea Lorenzoni, Francesco Mercuri, Scott M Woodley, Keith T Butler   +10 more
doaj   +3 more sources

Generative Models for Extrapolation Prediction in Materials Informatics [PDF]

ACS Omega, 2021
Kan Hatakeyama-Sato, Kenichi Oyaizu
doaj   +2 more sources

Descriptors for dielectric constants of perovskite-type oxides by materials informatics with first-principles density functional theory. [PDF]

Sci Technol Adv Mater, 2020
Noda Y, Otake M, Nakayama M.
europepmc   +2 more sources

A survey of AI-supported materials informatics

Computer Science Review
The evolution from traditional artificial intelligence (AI) to advanced AI is explored in the predictive and structural analysis in materials informatics, highlighting how advancements in machine learning have revolutionised the discovery and design of new materials and molecular structures.
Martin Dahlqvist, Sanjay Chakraborty, Jonas Björk   +2 more
exaly   +3 more sources

Materials informatics and sustainability—The case for urgency

Data-Centric Engineering, 2021
The development of transformative technologies for mitigating our global environmental and technological challenges will require significant innovation in the design, development, and manufacturing of advanced materials and chemicals.
Hannah R. Melia, Eric S. Muckley, James E. Saal   +2 more
doaj   +1 more source