Autonomous experimental systems in materials science
| Autor: | Naoya Ishizuki, Ryota Shimizu, Taro Hitosugi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Science and Technology of Advanced Materials: Methods, Vol 3, Iss 1 (2023) |
| Druh dokumentu: | article |
| ISSN: | 2766-0400 27660400 |
| DOI: | 10.1080/27660400.2023.2197519 |
| Popis: | The emergence of autonomous experimental systems integrating machine learning and robots is ushering in a paradigm shift in materials science. Using computer algorithms and robots to decide and perform all experimental steps, these systems require no human intervention. A current direction focuses on discovering unexpected materials and theories with unconventional research approaches. This article reviews the latest achievements and discusses the impact of autonomous experimental systems, which will fundamentally change the way we understand research. Moreover, as autonomous experimental systems continue to develop, the need to think about the role of human researchers becomes more pressing. While machine learning and robotics can free us from the repetitive aspects of research, we need to understand the strengths and limitations of machine learning and robots and focus on how humans can perform higher creativity. In addition, we also discuss inventorship and authorship in the era of autonomous systems. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|