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Digital Transformation in Materials Science: A Paradigm Change in Material's Development
Advances in Materials, 2021 The ongoing digitalization is rapidly changing and will further revolutionize all parts of life. This statement is currently omnipresent in the media as well as in the scientific community; however, the exact consequences of the proceeding digitalization
Julian Kimmig, S. Zechel, U. Schubert
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Energy harvesting: a review of the interplay between structure and mechanism [PDF]
, 2008 The science of energy harvesting has recently undergone radical change, with the advent of new materials exploiting mechanisms fundamentally different from those of traditional solar cells.
Andrews, David L
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Mechanical properties of a degradable phosphate glass fibre reinforced polymer composite for internal fracture fixation [PDF]
, 2010 NOTICE: this is the author’s version of a work that was accepted for publication in Materials Science and Engineering. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality ...
Brauer, DS, Kobayashi, HYLS, Russel, C
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propnet: A Knowledge Graph for Materials Science [PDF]
, 2020 Discovering the ideal material for a new application involves determining its numerous properties, such as electronic, mechanical, or thermodynamic, to match those of its desired application.
Dwaraknath, S +7 more
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, 2011 Biomaterials are often soft materials. There is now growing interest in designing, synthesizing and characterising soft materials that mimic the properties of biological materials such as tissue, proteins, DNA or cells. Research on biomimetic soft matter
Hamley, Ian
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AIMS Materials ScienceThis editorial note is dedicated to the 2023 Journal report of AIMS Materials Science, which was run by AIMS Press. After a brief summary about the annual development in 2023, future developments of the journal in 2024 are proposed.
AIMS Materials Science Editorial Office
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AIMS Materials ScienceThis editorial note is dedicated to the 2024 Journal report of AIMS Materials Science, which was run by AIMS Press. After a brief summary about the annual development in 2024, future developments of the journal in 2025 are proposed.
AIMS Materials Science Editorial Office
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Recent advances and applications of machine learning in solid-state materials science
npj Computational Materials, 2019 One of the most exciting tools that have entered the material science toolbox in recent years is machine learning. This collection of statistical methods has already proved to be capable of considerably speeding up both fundamental and applied research ...
Jonathan Schmidt +3 more
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The Martini Model in Materials Science [PDF]
Advances in Materials, 2020 The Martini model, a coarse‐grained force field initially developed with biomolecular simulations in mind, has found an increasing number of applications in the field of soft materials science.
Riccardo Alessandri +2 more
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