Artificial Intelligence-Powered Materials Science
Материаловедение на основе искусственного интеллекта
2025-02-05
SCID: 54.1/gh85n2v4
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AI-powered materials scienceenergy-efficient materialsmaterials innovationmaterials research and developmentsustainable materials
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Abstract (AI)
The advancement of materials has played a pivotal role in the advancement of human civilization, and the emergence of artificial intelligence (AI)-empowered materials science heralds a new era with substantial potential to tackle the escalating challenges related to energy, environment, and biomedical concerns in a sustainable manner. The exploration and development of sustainable materials are poised to assume a critical role in attaining technologically advanced solutions that are environmentally friendly, energy-efficient, and conducive to human well-being. This review provides a comprehensive overview of the current scholarly progress in artificial intelligence-powered materials science and its cutting-edge applications. We anticipate that AI technology will be extensively utilized in material research and development, thereby expediting the growth and implementation of novel materials. AI will serve as a catalyst for materials innovation, and in turn, advancements in materials innovation will further enhance the capabilities of AI and AI-powered materials science. Through the synergistic collaboration between AI and materials science, we stand to realize a future propelled by advanced AI-powered materials.
Key Findings
1
AI is anticipated to accelerate the discovery, development, and implementation of novel materials.
2
AI-powered materials science is emerging as a major approach for addressing energy, environmental, and biomedical challenges sustainably.
3
Sustainable materials development is expected to enable technologically advanced solutions that are environmentally friendly, energy-efficient, and beneficial to human well-being.
4
The relationship between AI and materials innovation is presented as synergistic, with advances in each expected to reinforce the capabilities of the other.
5
The review surveys current scholarly progress and cutting-edge applications of artificial intelligence in materials science.
Research Object
AI-powered materials science and the materials developed through it
Research Subject
The current progress and applications of AI in materials research and development, particularly for sustainable materials addressing energy, environmental, and biomedical challenges
Publication Details
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2025-02-05
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References available in scid.ai5
An autonomous laboratory for the accelerated synthesis of inorganic materials2023
Two-step machine learning enables optimized nanoparticle synthesis2021
Recent advances and applications of machine learning in solid-state materials science2019
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning2016
The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies2015