Alexander S. Rosengarten

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All published works

Action	Title	Year	Authors
+	Crystal symmetry determination in electron diffraction using machine learning	2020	Kevin Kaufmann Chaoyi Zhu Alexander S. Rosengarten Daniel Maryanovsky Tyler Harrington Eduardo Marin Kenneth S. Vecchio
+ PDF Chat	Paradigm shift in electron-based crystallography via machine learning.	2019	Kevin Kaufmann Chaoyi Zhu Alexander S. Rosengarten Daniel Maryanovsky Tyler Harrington Eduardo Marin Kenneth S. Vecchio

Common Coauthors

Coauthor	Papers Together
Chaoyi Zhu	2
Tyler Harrington	2
Kenneth S. Vecchio	2
Daniel Maryanovsky	2
Kevin Kaufmann	2
Eduardo Marin	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Predicting Crystal Structures with Data Mining of Quantum Calculations	2003	Stefano Curtarolo Dane Morgan Kristin A. Persson John R. Rodgers Gerbrand Ceder	2
+ PDF Chat	Universal fragment descriptors for predicting properties of inorganic crystals	2017	Olexandr Isayev Corey Oses Cormac Toher Eric Gossett Stefano Curtarolo Alexander Tropsha	2
+ PDF Chat	Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties	2018	Tian Xie Jeffrey C. Grossman	2
+ PDF Chat	Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks	2019	Felipe Oviedo Zekun Ren Shijing Sun Charles Settens Zhe Liu Noor Titan Putri Hartono Savitha Ramasamy Brian DeCost Siyu Tian Giuseppe Romano	2
+ PDF Chat	Deep neural networks for accurate predictions of crystal stability	2018	Weike Ye Chi Chen Zhenbin Wang Iek‐Heng Chu Shyue Ping Ong	2
+ PDF Chat	Insightful classification of crystal structures using deep learning	2018	Angelo Ziletti Devinder Kumar Matthias Scheffler Luca M. Ghiringhelli	2
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2019	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	1