Discovery-Synthesis, Design, and Prediction of Chalcogenide Phases.
Sign Up to like & getrecommendations! Published in 2017 at "Inorganic chemistry"
DOI: 10.1021/acs.inorgchem.7b00188
Abstract: The discovery of new materials and their efficient syntheses is a fundamental goal of chemistry. A related objective is to identify foundational and rational approaches to enhance the art of synthesis by combining the exquisite… read more here.
Keywords: design prediction; discovery synthesis; synthesis design; chemistry ... See more keywords
Mercury 4.0: from visualization to analysis, design and prediction
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Applied Crystallography"
DOI: 10.1107/s1600576719014092
Abstract: An overview of Mercury 4.0, an analysis, design and prediction platform that acts as a hub for the entire Cambridge Structural Database software suite, is presented. read more here.
Keywords: design prediction; mercury; analysis design;
Design and Prediction of Aptamers Assisted by In Silico Methods
Sign Up to like & getrecommendations! Published in 2023 at "Biomedicines"
DOI: 10.3390/biomedicines11020356
Abstract: An aptamer is a single-stranded DNA or RNA that binds to a specific target with high binding affinity. Aptamers are developed through the process of systematic evolution of ligands by exponential enrichment (SELEX), which is… read more here.
Keywords: prediction aptamers; aptamers assisted; assisted silico; silico methods ... See more keywords
Machine Learning Aided Design and Prediction of Environmentally Friendly Rubberised Concrete
Sign Up to like & getrecommendations! Published in 2021 at "Sustainability"
DOI: 10.3390/su13041691
Abstract: Not only can waste rubber enhance the properties of concrete (e.g., its dynamic damping and abrasion resistance capacity), its rational utilisation can also dramatically reduce environmental pollution and carbon footprint globally. This study is the… read more here.
Keywords: learning aided; design prediction; aided design; prediction ... See more keywords
Democratizing AI: non-expert design of prediction tasks
Sign Up to like & getrecommendations! Published in 2020 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.296
Abstract: Non-experts have long made important contributions to machine learning (ML) by contributing training data, and recent work has shown that non-experts can also help with feature engineering by suggesting novel predictive features. However, non-experts have… read more here.
Keywords: non experts; design prediction; prediction tasks;