11 citations · 17 across the 3 of their papers we have counts for
5 papers
Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning
Di Chen, Yiwei Bai, Sebastian Ament +7
Crystal-structure phase mapping is a core, long-standing challenge in materials science that requires identifying crystal structures, or mixtures thereof, in synthesized materials.…
Optical Identification of Materials Transformations in Oxide Thin Films
Duncan R. Sutherland, Aine Boyer Connolly, Maximilian Amsler +9
Recent advances in high-throughput experimentation for combinatorial studies have accelerated the discovery and analysis of materials across a wide range of compositions and synthe…
Deep Reasoning Networks: Thinking Fast and Slow
Di Chen, Yiwei Bai, Wenting Zhao +3
We introduce Deep Reasoning Networks (DRNets), an end-to-end framework that combines deep learning with reasoning for solving complex tasks, typically in an unsupervised or weakly-…
Exponentially-Modified Gaussian Mixture Model: Applications in Spectroscopy
Sebastian Ament, John Gregoire, Carla Gomes
We propose a novel exponentially-modified Gaussian (EMG) mixture residual model. The EMG mixture is well suited to model residuals that are contaminated by a distribution with posi…
End-to-End Refinement Guided by Pre-trained Prototypical Classifier
Junwen Bai, Zihang Lai, Runzhe Yang +3
Many real-world tasks involve identifying patterns from data satisfying background or prior knowledge. In domains like materials discovery, due to the flaws and biases in raw exper…