Zobrazeno 1 - 10
of 2 702
pro vyhledávání: '"FUNAKUBO, HIROSHI"'
Autor:
Biswas, Arpan, Vasudevan, Rama, Pant, Rohit, Takeuchi, Ichiro, Funakubo, Hiroshi, Liu, Yongtao
Both computational and experimental material discovery bring forth the challenge of exploring multidimensional and multimodal parameter spaces, such as phase diagrams of Hamiltonians with multiple interactions, composition spaces of combinatorial lib
Externí odkaz:
http://arxiv.org/abs/2409.12295
Microscopy techniques have played vital roles in materials science, biology, and nanotechnology, offering high-resolution imaging and detailed insights into properties at nanoscale and atomic level. The automation of microscopy experiments, in combin
Externí odkaz:
http://arxiv.org/abs/2408.02071
Autor:
Raghavan, Aditya, Pratiush, Utkarsh, Valleti, Mani, Liu, Richard, Emery, Reece, Funakubo, Hiroshi, Liu, Yongtao, Rack, Philip, Kalinin, Sergei
Physical imaging is a foundational characterization method in areas from condensed matter physics and chemistry to astronomy and spans length scales from atomic to universe. Images encapsulate crucial data regarding atomic bonding, materials microstr
Externí odkaz:
http://arxiv.org/abs/2408.00229
Autor:
Slautin, Boris N., Liu, Yongtao, Funakubo, Hiroshi, Vasudevan, Rama K., Ziatdinov, Maxim A., Kalinin, Sergei V.
Scientific advancement is universally based on the dynamic interplay between theoretical insights, modelling, and experimental discoveries. However, this feedback loop is often slow, including delayed community interactions and the gradual integratio
Externí odkaz:
http://arxiv.org/abs/2404.12899
The current focus in Autonomous Experimentation (AE) is on developing robust workflows to conduct the AE effectively. This entails the need for well-defined approaches to guide the AE process, including strategies for hyperparameter tuning and high-l
Externí odkaz:
http://arxiv.org/abs/2402.00071
Autor:
Liu, Yongtao, Vasudevan, Rama K., Kelley, Kyle P., Funakubo, Hiroshi, Ziatdinov, Maxim, Kalinin, Sergei V.
We report the development and experimental implementation of the automated experiment workflows for the identification of the best predictive channel for a phenomenon of interest in spectroscopic measurements. The approach is based on the combination
Externí odkaz:
http://arxiv.org/abs/2207.03039
Autor:
Liu, Yongtao, Kelley, Kyle P., Vasudevan, Rama K., Zhu, Wanlin, Hayden, John, Maria, Jon-Paul, Funakubo, Hiroshi, Ziatdinov, Maxim A., Trolier-McKinstry, Susan, Kalinin, Sergei V.
We develop and implement an automated experiment in multimodal imaging to probe structural, chemical, and functional behaviors in complex materials and elucidate the dominant physical mechanisms that control device function. Here the emergence of non
Externí odkaz:
http://arxiv.org/abs/2206.15110
The functionality of ferroelastic domain walls in ferroelectric materials is explored in real-time via the in-situ implementation of computer vision algorithms in scanning probe microscopy (SPM) experiment. The robust deep convolutional neural networ
Externí odkaz:
http://arxiv.org/abs/2206.11457
Autor:
Liu, Yongtao, Kelley, Kyle P., Vasudevan, Rama K., Funakubo, Hiroshi, Ziatdinov, Maxim A., Kalinin, Sergei V.
Emergent functionalities of structural and topological defects in ferroelectric materials underpin an extremely broad spectrum of applications ranging from domain wall electronics to high dielectric and electromechanical responses. Many of these have
Externí odkaz:
http://arxiv.org/abs/2108.06037
Autor:
Choi, Je Oh, Wang, Bo, Funakubo, Hiroshi, Lee, Ji Hye, Lee, Su Yong, Chen, Long-Qing, Noh, Tae Won, Jo, Ji Young, Lee, Hyeon Jun
Publikováno v:
In Acta Materialia 1 March 2024 266
