30 citations · 90 across the 9 of their papers we have counts for
4 papers · 1 filter
Learning with Delayed Rewards -- A case study on inverse defect design in 2D materials
Suvo Banik, Troy D Loeffler, Rohit Batra +3
Defect dynamics in materials are of central importance to a broad range of technologies from catalysis to energy storage systems to microelectronics. Material functionality depends…
Phase Segmentation in Atom-Probe Tomography Using Deep Learning-Based Edge Detection
Sandeep Madireddy, Ding-Wen Chung, Troy Loeffler +4
Atom-probe tomography (APT) facilitates nano- and atomic-scale characterization and analysis of microstructural features. Specifically, APT is well suited to study the interfacial…
Perovskite Quantum Organismoids
Fan Zuo, Priyadarshini Panda, Michele Kotiuga +14
A central characteristic of living beings is the ability to learn from and respond to their environment leading to habit formation and decision making1-3. This behavior, known as h…
In-situ 3D Imaging of Catalysis Induced Strain in Gold Nanoparticles
Andrew Ulvestad, Kiran Sasikumar, Jong Woo Kim +9
Multi-electron transfer processes, such as hydrogen and oxygen evolution reactions, are crucially important in energy and biological science but require favorable catalysts to achi…