Crystal Research (United States)

Governed Autonomous Execution: Authority Separation and Semantic Invariance Across Execution Boundaries

Autonomous systems are governed in pieces, with different bodies of work constraining the actor, the proposed action, the API request, the runtime trace, the execution environment, or the effect, and each making a different object primary. We ask whether governed autonomous execu...

MBAvol: An Interpretable Descriptor Scheme for Crystal-Density Modeling of HEDM

Abstract Machine learning (ML) offers an efficient route to predict properties of high-energy-density materials (HEDMs), but conventional models often have limited interpretability and out-of-sample accuracy. Here, we introduce the multibody approximation volume descriptor (MBAvo...

MOCVD Growth of (011) β-Ga2O3 Films: Defect Control and Device Implication

Abstract β-Ga2O3 is a promising ultrawide-bandgap semiconductor for high-power electronics; however, the realization of thick, low-defect drift layers at high growth rates remains challenging. In this work, metalorganic chemical vapor deposition (MOCVD) growth of (011) β-Ga2O3 dr...

Machine Learning‐Guided Additive Manufacturing of Multilayer Aerogels for Ultrabroadband, Ultralow‐Reflection Electromagnetic Shielding

The development of broadband, low-reflection electromagnetic interference (EMI) shielding materials is critically needed to suppress secondary electromagnetic pollution. Here, we report a machine learning (ML)-guided additive manufacturing strategy for precisely fabricating multi...