Zobrazeno 1 - 10
of 1 032
pro vyhledávání: '"Liu Yongtao"'
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
The fusion of experimental automation and machine learning has catalyzed a new era in materials research, prominently featuring Gaussian Process Bayesian Optimization (GPBO) driven autonomous experiments navigating complex experimental conditions for
Externí odkaz:
http://arxiv.org/abs/2405.16230
Autor:
Raghavan, Aditya, Pant, Rohit, Takeuchi, Ichiro, Eliseev, Eugene A., Checa, Marti, Morozovska, Anna N., Ziatdinov, Maxim, Kalinin, Sergei V., Liu, Yongtao
Combinatorial spread libraries offer a unique approach to explore evolution of materials properties over the broad concentration, temperature, and growth parameter spaces. However, the traditional limitation of this approach is the requirement for th
Externí odkaz:
http://arxiv.org/abs/2405.08773
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
Autor:
Pratiush, Utkarsh, Roccapriore, Kevin M., Liu, Yongtao, Duscher, Gerd, Ziatdinov, Maxim, Kalinin, Sergei V.
Exploring the structural, chemical, and physical properties of matter on the nano- and atomic scales has become possible with the recent advances in aberration-corrected electron energy-loss spectroscopy (EELS) in scanning transmission electron micro
Externí odkaz:
http://arxiv.org/abs/2404.07381
Autor:
Yang, Jonghee, Ievlev, Anton V., Morozovska, Anna N., Eliseev, Eugene, Poplawsky, Jonathan D, Goodling, Devin, Spurling, Robert Jackson, Maria, Jon-Paul, Kalinin, Sergei V., Liu, Yongtao
Ferroelectric materials promise exceptional attributes including low power dissipation, fast operational speeds, enhanced endurance, and superior retention to revolutionize information technology. However, the practical application of ferroelectric-s
Externí odkaz:
http://arxiv.org/abs/2402.08852
Autor:
Slautin, Boris N., Pratiush, Utkarsh, Ivanov, Ilia N., Liu, Yongtao, Pant, Rohit, Zhang, Xiaohang, Takeuchi, Ichiro, Ziatdinov, Maxim A., Kalinin, Sergei V.
The rapid growth of automated and autonomous instrumentations brings forth an opportunity for the co-orchestration of multimodal tools, equipped with multiple sequential detection methods, or several characterization tools to explore identical sample
Externí odkaz:
http://arxiv.org/abs/2402.02198
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