183 citations · 288 across the 9 of their papers we have counts for
9 papers
DLSIA: Deep Learning for Scientific Image Analysis
Eric J Roberts, Tanny Chavez, Alexander Hexemer +1
We introduce DLSIA (Deep Learning for Scientific Image Analysis), a Python-based machine learning library that empowers scientists and researchers across diverse scientific domains…
A Continuous Action Space Tree search for INverse desiGn (CASTING) Framework for Materials Discovery
Suvo Banik, Troy Loefller, Sukriti Manna +5
Fast and accurate prediction of optimal crystal structure, topology, and microstructures is important for accelerating the design and discovery of new materials. A challenge lies i…
MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies
Zhuowen Zhao, Tanny Chavez, Elizabeth A. Holman +14
Machine learning (ML) algorithms are showing a growing trend in helping the scientific communities across different disciplines and institutions to address large and diverse data p…
Real-time sparse-sampled Ptychographic imaging through deep neural networks
Mathew J. Cherukara, Tao Zhou, Youssef Nashed +4
Ptychography has rapidly grown in the fields of X-ray and electron imaging for its unprecedented ability to achieve nano or atomic scale resolution while simultaneously retrieving…
A Multi-Resolution 3D-DenseNet for Chemical Shift Prediction in NMR Crystallography
Shuai Liu, Jie Li, Kochise C. Bennett +6
We have developed a deep learning algorithm for chemical shift prediction for atoms in molecular crystals that utilizes an atom-centered Gaussian density model for the 3D data repr…
On-the-fly Data Assessment for High Throughput X-ray Diffraction Measurement
Fang Ren, Ronald Pandolfi, Douglas Van Campen +2
Investment in brighter sources and larger and faster detectors has accelerated the speed of data acquisition at national user facilities. The accelerated data acquisition offers ma…