Results 11 to 20 of about 10,071,806 (341)

Functional Inorganic Materials

Vilnius University Proceedings, 2022
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Aivaras Kareiva, Justinas Januškevičius, Greta Inkrataitė   +2 more
openaire   +2 more sources

Machine learning-guided synthesis of advanced inorganic materials [PDF]

arXiv.org, 2019
Synthesis of advanced inorganic materials with minimum number of trials is of paramount importance towards the acceleration of inorganic materials development.
Chouhan, Tushar, Golani, Prafful, Guan, Cuntai, Liu, Zheng, Lu, Yuhao, Tang, Bijun, Wang, Han, Xu, Manzhang, Xu, Quan, Zhou, Jiadong   +9 more
core   +2 more sources

Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks [PDF]

Journal of Chemical Information and Modeling, 2019
Leveraging new data sources is a key step in accelerating the pace of materials design and discovery. To complement the strides in synthesis planning driven by historical, experimental, and computed data, we present an automated method for connecting ...
Chang, Haw-Shiuan, Huang, Kevin, Jegelka, Stefanie, Jensen, Zach, Kim, Edward, McCallum, Andrew, Mysore, Sheshera, Olivetti, Elsa, Staib, Matthew, Strubell, Emma, van Grootel, Alexander   +10 more
core   +2 more sources

An autonomous laboratory for the accelerated synthesis of novel materials. [PDF]

Nature, 2023
An autonomous laboratory, the A-Lab, is presented that combines computations, literature data, machine learning and active learning, which discovered and synthesized 41 novel compounds from a set of 58 targets after 17 days of operation. To close the gap
Szymanski NJ, Rendy B, Fei Y, Kumar RE, He T, Milsted D, McDermott MJ, Gallant M, Cubuk ED, Merchant A, Kim H, Jain A, Bartel CJ, Persson K, Zeng Y, Ceder G.   +15 more
europepmc   +2 more sources

Using Data-Driven Learning to Predict and Control the Outcomes of Inorganic Materials Synthesis. [PDF]

Inorg Chem, 2023
The design of inorganic materials for various applications critically depends on our ability to manipulate their synthesis in a rational, robust, and controllable fashion.
Williamson EM, Brutchey RL.
europepmc   +2 more sources

Dataset of solution-based inorganic materials synthesis procedures extracted from the scientific literature. [PDF]

Sci Data, 2022
The development of a materials synthesis route is usually based on heuristics and experience. A possible new approach would be to apply data-driven approaches to learn the patterns of synthesis from past experience and use them to predict the syntheses ...
Wang Z, Kononova O, Cruse K, He T, Huo H, Fei Y, Zeng Y, Sun Y, Cai Z, Sun W, Ceder G.   +10 more
europepmc   +2 more sources

Supra-ceramics: a molecule-driven frontier of inorganic materials. [PDF]

Sci Technol Adv Mater
Discoveries and technological innovations over the past decade are transforming our understanding of the properties of ceramics, such as ‘hard’, ‘brittle’, and ‘homogeneous’.
Maeda K, Motohashi T, Ohtani R, Sugimoto K, Tsuji Y, Kuwabara A, Horike S.   +6 more
europepmc   +2 more sources

A generative model for inorganic materials design. [PDF]

Nature
The design of functional materials with desired properties is essential in driving technological advances in areas such as energy storage, catalysis and carbon capture1, 2–3.
Zeni C, Pinsler R, Zügner D, Fowler A, Horton M, Fu X, Wang Z, Shysheya A, Crabbé J, Ueda S, Sordillo R, Sun L, Smith J, Nguyen B, Schulz H, Lewis S, Huang CW, Lu Z, Zhou Y, Yang H, Hao H, Li J, Yang C, Li W, Tomioka R, Xie T.   +25 more
europepmc   +2 more sources

Deep reinforcement learning for inverse inorganic materials design [PDF]

npj Computational Materials, 2022
A major obstacle to the realization of novel inorganic materials with desirable properties is efficient materials discovery over both the materials property and synthesis spaces.
Christopher Karpovich, Elton Pan, E. Olivetti   +2 more
semanticscholar   +1 more source

How to Read and Determine the Specific Surface Area of Inorganic Materials using the Brunauer-Emmett-Teller (BET) Method

ASEAN Journal of Science and Engineering, 2022
The specific surface area of inorganic materials is a crucial parameter that influences their performance in various applications. The Brunauer-Emmett-Teller (BET) method is widely used for accurately determining the surface area of porous materials ...
F. S. Irwansyah, Alfi Ikhlasul Amal, Erlinda Widyasmara Diyanthi, E. P. Hadisantoso, A. Noviyanti, D. Eddy, Risdiana Risdiana   +6 more
semanticscholar   +1 more source