Machine learningOptoelectronic devicesHigh-performance materialsMaterial design and optimizationPhotodetectors (PDs) based on perovskite materials have become a strong contender for next-generation optical sensing. Because it has the advantages of high photoelectric conversion efficiency, broad spectral response,...
Machine learning assisted design of high entropy alloys with desired property. Acta Mater. 170, 109–117 (2019). CAS Google Scholar Kim, G. et al. First-principles and machine learning predictions of elasticity in severely lattice-distorted high-entropy alloys with experimental validation. Acta ...
Body-centered cubic (BCC) alloy systems can theoretically store double amounts of hydrogen compared with commercial metal hydrides at room temperature, and BCC high entropy alloys (HEAs) have shown the potential to reach this theoretic limit. However, the high thermodynamic stability of the dihydrid...
Recently, machine learning methods have demonstrated significant potential in accelerating material discovery by efficiently navigating design spaces and predicting properties, thereby substantially reducing the cost of identifying and optimizing catalytic materials24,25,26,27. Here, we perform the machine-lear...
Machine learning assisted design of high-entropy alloys with ultra-high microhardness and unexpected low density Active learning cycle system was designed to explore high-entropy alloys with exceptional hardness.Screened 30 Al-Co-Cr-Cu-Fe-Ni compositions exhibit a pre... S Zhao,B Jiang,K Song,....
Machine-Learning-Assisted High-Throughput computational screening of Metal–Organic framework membranes for hydrogen separation 2022, Chemical Engineering Journal Show abstract Molecular-fingerprint machine-learning-assisted design and prediction for high-performance MOFs for capture of NMHCs from air 2022, Adva...
Machine learning applications in software engineering Machine learning deals with the issue of how to build computer programs that improve their performance at some tasks through experience. Machine learning a... Z Du,JJP Tsai - WORLD SCIENTIFIC 被引量: 40发表: 2005年 On the applicability of mac...
3D computer vision incuding SLAM,VSALM,Deep Learning,Structured light,Stereo,Three-dimensional reconstruction,Computer vision,Machine Learning and so on - Mxilee/awesome-3D-vision
Wen, C. et al. Machine learning assisted design of high entropy alloys with desired property.Acta Mater.170, 109–117 (2019). CASGoogle Scholar Wang, C., Fu, H., Jiang, L., Xue, D. & Xie, J. A property-oriented design strategy for high performance copper alloys via machine learning...
Fig. 2: General framework for the machine learning assisted design of Kirigami meta-atoms and metamaterials. aDataset collection.bMachine learning framework.cImplementation of Kirigami machine learning design. Full size image Results and discussion ...