Phase-Property Diagrams for Multicomponent Oxide Systems toward Materials Libraries. [PDF]
Development of phase–property diagrams and materials libraries via automated synthesis and characterization techniques integrated with machine learning is presented. The multicomponent phase–property diagram (materials library) closes the loop and is used to determine suitable candidates for a desired property, or to narrow specific regions to initiate
Velasco L +5 more
europepmc +2 more sources
High‐entropy materials, providing novel strategies for materials design with tailoring properties, have sparked significant interest in energy‐related applications in recent years. In the age of big data, the implementation of modern data science, machine learning tools, and high‐throughput methods speed up the design, discovery, and application of ...
Qingsong Wang +3 more
wiley +1 more source
Hyperspectral imaging with machine learning for non-destructive classification of Astragalus membranaceus var. mongholicus, Astragalus membranaceus, and similar seeds. [PDF]
Xu Y +8 more
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Voltage Imaging with Engineered Proton-Pumping Rhodopsins: Insights from the Proton Transfer Pathway. [PDF]
Meng X +4 more
europepmc +1 more source
A Machine Learning-Based Model to Predict Survival After Transarterial Chemoembolization for BCLC Stage B Hepatocellular Carcinoma. [PDF]
Lin H, Zeng L, Yang J, Hu W, Zhu Y.
europepmc +1 more source
Antibody Responses Against Plasmodium vivax TRAP Recombinant and Synthetic Antigens in Naturally Exposed Individuals From the Brazilian Amazon. [PDF]
Matos ADS +12 more
europepmc +1 more source
TEMPI: probabilistic modeling time-evolving differential PPI networks with multiPle information. [PDF]
Kim Y, Jang JH, Choi S, Hwang D.
europepmc +1 more source
RactIP: fast and accurate prediction of RNA-RNA interaction using integer programming. [PDF]
Kato Y +5 more
europepmc +1 more source
Applications of machine learning in time-domain fluorescence lifetime imaging: a review. [PDF]
Gouzou D +6 more
europepmc +1 more source
Quality of Life After Cardiac Surgery: The QUACS Study and Benefit Prediction Model. [PDF]
Nashef SAM +7 more
europepmc +1 more source

