Accurate Point Defect Energy Levels from Non-Empirical Screened Range-Separated Hybrid Functionals: the Case of Native Vacancies in ZnO

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Sijia Ke, Stephen E. Gant, Leeor Kronik, Jeffrey B. Neaton, | Summary: We use density functional theory (DFT) with non-empirically tuned screened range-separated hybrid (SRSH) functionals to calculate the electronic properties of native zinc and oxygen vacancy point defects in ZnO, and we predict their defect […]


Continue.. Accurate Point Defect Energy Levels from Non-Empirical Screened Range-Separated Hybrid Functionals: the Case of Native Vacancies in ZnO

Towards High-Voltage Cathodes for Zinc-Ion Batteries: Discovery Pipeline and Material Design Rules

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Roberta Pascazio, Qian Chen, Haoming Howard Li, Aaron D. Kaplan, Kristin A. Persson | Summary: Efficient energy storage systems are crucial to address the intermittency of renewable energy sources. As multivalent batteries, Zn-ion batteries (ZIBs), while inherently low voltage, offer a promising low cost alternative to […]


Continue.. Towards High-Voltage Cathodes for Zinc-Ion Batteries: Discovery Pipeline and Material Design Rules

Measuring Casimir Force Across a Superconducting Transition

Kavli Affiliate: Sander Otte | First 5 Authors: Minxing Xu, Robbie J. G. Elbertse, Ata Keşkekler, Giuseppe Bimonte, Jinwon Lee | Summary: The Casimir effect and superconductivity are foundational quantum phenomena whose interaction remains an open question in physics. How Casimir forces behave across a superconducting transition remains unresolved, owing to the experimental difficulty of […]


Continue.. Measuring Casimir Force Across a Superconducting Transition

AutoStyle-TTS: Retrieval-Augmented Generation based Automatic Style Matching Text-to-Speech Synthesis

Kavli Affiliate: Dan Luo | First 5 Authors: Dan Luo, Chengyuan Ma, Weiqin Li, Jun Wang, Wei Chen | Summary: With the advancement of speech synthesis technology, users have higher expectations for the naturalness and expressiveness of synthesized speech. But previous research ignores the importance of prompt selection. This study proposes a text-to-speech (TTS) framework […]


Continue.. AutoStyle-TTS: Retrieval-Augmented Generation based Automatic Style Matching Text-to-Speech Synthesis