66 citations · 126 across the 10 of their papers we have counts for
10 papers
Machine Learning Enables Optimization of Diamond for Quantum Applications
Dane W. deQuilettes, Eden Price, Linh M. Pham +11
Spins in solid-state materials, molecules, and other chemical systems have the potential to impact the fields of quantum sensing, communication, simulation, and computing. In parti…
Predicting Trends in Through Rapid, Multimodal Characterization of State-of-the-Art p-i-n Perovskite Devices
Amy E. Louks, Brandon T. Motes, Anthony T. Troupe +3
Perovskite photovoltaic technologies are approaching commercial deployment, yet single junction and tandem architectures both still have significant room to improve power conversio…
Quantum Noise Spectroscopy of Criticality in an Atomically Thin Magnet
Mark E. Ziffer, Francisco Machado, Benedikt Ursprung +20
Dynamic critical fluctuations in magnetic materials encode important information about magnetic ordering in the associated critical exponents. Using nitrogen-vacancy centers in dia…
Emulated nuclear spin gyroscope with NV centers in diamond
Guoqing Wang, Minh-Thi Nguyen, Dane W. deQuilettes +4
Nuclear spins in solid-state platforms are promising for building rotation sensors due to their long coherence times. Among these platforms, nitrogen-vacancy centers have attracted…
Mapping the Diffusion Tensor in Microstructured Perovskites
Roberto Brenes, Dane W. deQuilettes, Richard Swartwout +3
Understanding energy transport in semiconductors is critical for design of electronic and optoelectronic devices. Semiconductor material properties such as charge carrier mobility…
Reduced Recombination via Tunable Surface Fields in Perovskite Solar Cells
Dane W. deQuilettes, Jason Jungwan Yoo, Roberto Brenes +9
The ability to reduce energy loss at semiconductor surfaces through passivation or surface field engineering has become an essential step in the manufacturing of efficient photovol…