3 papers
cond-mat.mtrl-sci2025
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…
cond-mat.mtrl-sci2025
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…
cond-mat.mtrl-sci2024
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…