Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Biswas, Arpan"'
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
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
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
Autor:
Kalinin, Sergei V., Liu, Yongtao, Biswas, Arpan, Duscher, Gerd, Pratiush, Utkarsh, Roccapriore, Kevin, Ziatdinov, Maxim, Vasudevan, Rama
Machine learning methods are progressively gaining acceptance in the electron microscopy community for de-noising, semantic segmentation, and dimensionality reduction of data post-acquisition. The introduction of the APIs by major instrument manufact
Externí odkaz:
http://arxiv.org/abs/2310.05018
Autor:
Harris, Sumner B., Biswas, Arpan, Yun, Seok Joon, Rouleau, Christopher M., Puretzky, Alexander A., Vasudevan, Rama K., Geohegan, David B., Xiao, Kai
Synthesis of thin films has traditionally relied upon slow, sequential processes carried out with substantial human intervention, frequently utilizing a mix of experience and serendipity to optimize material structure and properties. With recent adva
Externí odkaz:
http://arxiv.org/abs/2308.08700
Autor:
Biswas, Arpan, Liu, Yongtao, Creange, Nicole, Liu, Yu-Chen, Jesse, Stephen, Yang, Jan-Chi, Kalinin, Sergei V., Ziatdinov, Maxim A., Vasudevan, Rama K.
Optimization of experimental materials synthesis and characterization through active learning methods has been growing over the last decade, with examples ranging from measurements of diffraction on combinatorial alloys at synchrotrons, to searches t
Externí odkaz:
http://arxiv.org/abs/2304.02484
Electron and scanning probe microscopy produce vast amounts of data in the form of images or hyperspectral data, such as EELS or 4D STEM, that contain information on a wide range of structural, physical, and chemical properties of materials. To extra
Externí odkaz:
http://arxiv.org/abs/2302.04216
Unsupervised and semi-supervised ML methods such as variational autoencoders (VAE) have become widely adopted across multiple areas of physics, chemistry, and materials sciences due to their capability in disentangling representations and ability to
Externí odkaz:
http://arxiv.org/abs/2207.00128
We propose a nested weighted Tchebycheff Multi-objective Bayesian optimization framework where we build a regression model selection procedure from an ensemble of models, towards better estimation of the uncertain parameters of the weighted-Tchebyche
Externí odkaz:
http://arxiv.org/abs/2110.11070
Autor:
Morozovska, Anna N., Eliseev, Eugene A., Biswas, Arpan, Shevliakova, Hanna V., Morozovsky, Nicholas V., Kalinin, Sergei V.
The emergent behaviors in thin films of a multiaxial ferroelectric due to an electrochemical coupling between the rotating polarization and surface ions are explored within the framework of the 2-4 Landau-Ginzburg-Devonshire (LGD) thermodynamic poten
Externí odkaz:
http://arxiv.org/abs/2109.06787