Zobrazeno 1 - 10
of 544
pro vyhledávání: '"Ziatdinov Maxim"'
Lithium-ion batteries are a key energy storage technology driving revolutions in mobile electronics, electric vehicles and renewable energy storage. Capacity retention is a vital performance measure that is frequently utilized to assess whether these
Externí odkaz:
http://arxiv.org/abs/2410.06422
Autor:
Slautin, Boris N., Liu, Yu, Dec, Jan, Shvartsman, Vladimir V., Lupascu, Doru C., Ziatdinov, Maxim, Kalinin, Sergei V.
We have developed a Bayesian optimization (BO) workflow that integrates intra-step noise optimization into automated experimental cycles. Traditional BO approaches in automated experiments focus on optimizing experimental trajectories but often overl
Externí odkaz:
http://arxiv.org/abs/2410.02717
Autor:
Ziatdinov, Maxim
Active learning optimizes the exploration of large parameter spaces by strategically selecting which experiments or simulations to conduct, thus reducing resource consumption and potentially accelerating scientific discovery. A key component of this
Externí odkaz:
http://arxiv.org/abs/2405.09817
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:
Narasimha, Ganesh, Kong, Dejia, Regmi, Paras, Jin, Rongying, Gai, Zheng, Vasudevan, Rama, Ziatdinov, Maxim
Atomic arrangements and local sub-structures fundamentally influence emergent material functionalities. The local structures are conventionally probed using spatially resolved studies and the property correlations are usually deciphered by a research
Externí odkaz:
http://arxiv.org/abs/2404.07074
Autor:
Biswas, Arpan, Valleti, Sai Mani Prudhvi, Vasudevan, Rama, Ziatdinov, Maxim, Kalinin, Sergei V.
Both computational and experimental material discovery bring forth the challenge of exploring multidimensional and often non-differentiable parameter spaces, such as phase diagrams of Hamiltonians with multiple interactions, composition spaces of com
Externí odkaz:
http://arxiv.org/abs/2402.13402
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
Scanning Tunneling microscopy (STM) is a widely used tool for atomic imaging of novel materials and its surface energetics. However, the optimization of the imaging conditions is a tedious process due to the extremely sensitive tip-surface interactio
Externí odkaz:
http://arxiv.org/abs/2310.17765