Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Valleti, Mani"'
Exploration of complex high-dimensional spaces presents significant challenges in fields such as molecular discovery, process optimization, and supply chain management. Genetic Algorithms (GAs), while offering significant power for creating new candi
Externí odkaz:
http://arxiv.org/abs/2410.03173
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
Electron, optical, and scanning probe microscopy methods are generating ever increasing volume of image data containing information on atomic and mesoscale structures and functionalities. This necessitates the development of the machine learning meth
Externí odkaz:
http://arxiv.org/abs/2303.18236
The ability of deep learning methods to perform classification and regression tasks relies heavily on their capacity to uncover manifolds in high-dimensional data spaces and project them into low-dimensional representation spaces. In this study, we i
Externí odkaz:
http://arxiv.org/abs/2303.14554
Major advancements in fields as diverse as biology and quantum computing have relied on a multitude of microscopic techniques. All optical, electron and scanning probe microscopy advanced with new detector technologies and integration of spectroscopy
Externí odkaz:
http://arxiv.org/abs/2302.14629
Automated chemical synthesis, materials fabrication, and spectroscopic physical measurements often bring forth the challenge of process trajectory optimization, i.e., discovering the time dependence of temperature, electric field, or pressure that gi
Externí odkaz:
http://arxiv.org/abs/2206.12435
Autor:
Valleti, Mani, Kalinin, Sergei V., Nelson, Christopher T., Peters, Jonathan J. P., Dong, Wen, Beanland, Richard, Zhang, Xiaohang, Takeuchi, Ichiro, Ziatdinov, Maxim
An approach for the analysis of atomically resolved scanning transmission electron microscopy data with multiple ferroic variants in the presence of imaging non-idealities and chemical variabilities based on a rotationally invariant variational autoe
Externí odkaz:
http://arxiv.org/abs/2101.06892
Autor:
Valleti, Mani, Zou, Qiang, Xue, Rui, Vlcek, Lukas, Ziatdinov, Maxim, Vasudevan, Rama, Fu, Mingming, Yan, Jiaqiang, Mandrus, David, Gai, Zheng, Kalinin, Sergei V.
Atomic structures and adatom geometries of surfaces encode information about the thermodynamics and kinetics of the processes that lead to their formation, and which can be captured by a generative physical model. Here we develop a workflow based on
Externí odkaz:
http://arxiv.org/abs/2012.12463
Autor:
Kalinin, Sergei V., Oxley, Mark P., Valleti, Mani, Zhang, Junjie, Hermann, Raphael P., Zheng, Hong, Zhang, Wenrui, Eres, Gyula, Vasudevan, Rama K., Ziatdinov, Maxim
The advent of high-resolution electron and scanning probe microscopy imaging has opened the floodgates for acquiring atomically resolved images of bulk materials, 2D materials, and surfaces. This plethora of data contains an immense volume of informa
Externí odkaz:
http://arxiv.org/abs/2012.07134
Autor:
Ignatans, Reinis, Ziatdinov, Maxim, Vasudevan, Rama, Valleti, Mani, Tileli, Vasiliki, Kalinin, Sergei V.
In situ scanning transmission electron microscopy enables observation of the domain dynamics in ferroelectric materials as a function of externally applied bias and temperature. The resultant data sets contain a wealth of information on polarization
Externí odkaz:
http://arxiv.org/abs/2011.11869