Materials science in the artificial intelligence age: high-throughput library generation, machine learning, and a pathway from correlations to the underpinning physics
The use of statistical/machine learning (ML) approaches to materials science is
experiencing explosive growth. Here, we review recent work focusing on the generation and …
experiencing explosive growth. Here, we review recent work focusing on the generation and …
Autonomous molecular design: then and now
T Dimitrov, C Kreisbeck, JS Becker… - … applied materials & …, 2019 - ACS Publications
The success of deep machine learning in processing of large amounts of data, for example,
in image or voice recognition and generation, raises the possibilities that these tools can …
in image or voice recognition and generation, raises the possibilities that these tools can …
[HTML][HTML] Materials science in the AI age: high-throughput library generation, machine learning and a pathway from correlations to the underpinning physics
The use of advanced data analytics and applications of statistical and machine learning
approaches ('AI') to materials science is experiencing explosive growth recently. In this …
approaches ('AI') to materials science is experiencing explosive growth recently. In this …
[HTML][HTML] Data science for the scientific life cycle
D Ezer, K Whitaker - Elife, 2019 - elifesciences.org
Data science can be incorporated into every stage of a scientific study. Here we describe
how data science can be used to generate hypotheses, to design experiments, to perform …
how data science can be used to generate hypotheses, to design experiments, to perform …
Opportunities and challenges in applying artificial intelligence to bioengineering
Our capability to engineer biological systems is increasing rapidly in both speed and scale,
leading to explosive growth in the complexity of bioengineering projects that can be …
leading to explosive growth in the complexity of bioengineering projects that can be …
Pilotage de la performance des projets de science citoyenne dans un contexte de transformation du rapport aux données scientifiques: systématisation et perte de …
Y Sitruk - 2019 - pastel.hal.science
De plus en plus d'organisations scientifiques contemporaines intègrent dans leur processus
des foules de participants assignés à des tâches variées, souvent appelés projets de …
des foules de participants assignés à des tâches variées, souvent appelés projets de …
[PDF][PDF] Towards an ontology for automatic scientific discovery
While some attempts have been made to automate the scientific discovery process in
specific domains, these approaches have limited support for formal representation and …
specific domains, these approaches have limited support for formal representation and …