Kevin M. Roccapriore

Programmable Atomic Order in a Crystal at the Mesoscale

Kevin M. Roccapriore, Frances M. Ross, Julian Klein

Controlling arrangements of atoms is foundational to the exploration of new and unconventional phases of matter for applications in quantum technologies. Substantial progress has been made in this direction enabled by the introduction of the ion trap, optical tweezers, and surface atom …

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Building Defects on Purpose: Automated STEM for Atomic Precision Automated STEM for Precision Defect Fabrication

Matthew G. Boebinger, Z Z Wu, Kevin M. Roccapriore, Ayana Ghosh et autres

More and more these days dynamic behavior within 2D materials, such as defect formation, can be directly probed through in situ observation within the electron microscope. By combining unconventional electron-beam control with automated data analysis, we can now directly investigate how distinct …

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Probing the Local Structure and Electronic States of Strained High Entropy Oxide Heterostructures

Sai Venkata Gayathri Ayyagari, Saeed S I Almishal, Debangshu Mukherjee, Kevin M. Roccapriore et autres

Reciprocal space investigations provide rich information about crystal structure, secondary phases, strain, and structural defects such as twins and stacking faults. With recent advances in detector technologies, it is now possible to capture reciprocal space information with nanoscale resolution over large areas …

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Evidence of Local Structural Variations and Their Influence on Magnetic Properties in Mn- and Cr-Containing High-Entropy Oxide Thin Films Using Electron Microscopy

Sai Venkata Gayathri Ayyagari, Matthew Webb, Jacob T. Sivak, Gerald Bejger et autres

High Resolution Image Download MS PowerPoint Slide Alloying is an age-old strategy for synthesizing materials with enhanced properties. Recently, multicomponent systems such as high-entropy oxides have garnered widespread attention due to their tunable and often superior properties compared to their constituent oxides. …

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Quantifying the coupling between strain and cation valence in high entropy oxide thin films using electron microscopy

Sai Venkata Gayathri Ayyagari, Saeed SI Almishal, Debangshu Mukherjee, Kevin M. Roccapriore et autres

High entropy oxides (HEOs) are a class of materials with vast compositional space and tunable properties, making them attractive for applications in thermoelectrics, magnetism, ionic conduction, and beyond. However, their metastable nature makes the local structure, and consequently their properties, highly sensitive …

Quantifying the coupling between strain and cation valence in high entropy oxide thin films using electron microscopy

Sai Venkata Gayathri Ayyagari, Saeed SI Almishal, Debangshu Mukherjee, Kevin M. Roccapriore et autres

High entropy oxides (HEOs) are a class of materials with vast compositional space and tunable properties, making them attractive for applications in thermoelectrics, magnetism, ionic conduction, and beyond. However, their metastable nature makes the local structure, and consequently their properties, highly sensitive …

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Mesoscale atomic engineering in a crystal lattice

Julian Klein, Kevin M. Roccapriore, Mads Weile, Sergii Grytsiuk et autres

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Autonomous fabrication of tailored defect structures in 2D materials using machine learning-enabled scanning transmission electron microscopy

Zijie Wu, Kevin M. Roccapriore, Ayana Ghosh, Kai Xiao et autres

Abstract Materials with tailored quantum properties can be engineered from atomic-scale assembly techniques, but existing methods often lack the agility and accuracy to precisely and intelligently control the manufacturing process. Here, we demonstrate a fully autonomous approach for fabricating atomic-level defects using …

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Operationalizing Serendipity: Multi-Agent AI Workflows for Enhanced Materials Characterization with Theory-in-the-Loop

L. Yao, Suman Samantray, Ayana Ghosh, Kevin M. Roccapriore et autres

The history of science is punctuated by serendipitous discoveries, where unexpected observations, rather than targeted hypotheses, opened new fields of inquiry. While modern autonomous laboratories excel at accelerating hypothesis testing, their optimization for efficiency risks overlooking these crucial, unplanned findings. To address …

Small Data is All You Need – Machine Learning-based Feature Identification in Scanning Transmission Electron Microscopy (STEM) Images of MoS2

Zijie Wu, Matthew G. Boebinger, Kevin M. Roccapriore, Rama K. Vasudevan

Machine learning (ML) has transformed many fields, but its impact in materials science and microscopy is limited by the scarcity of high-quality labeled data. Unlike domains with abundant datasets, microscopic data availability is constrained by expensive instrumentation, highly specific technical domains, and …

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In-situ Monitoring of Automated Defect Formation in STEM

Matthew G. Boebinger, Wu Zhi, Kevin M. Roccapriore, Ayana Ghosh et autres

One of the very base forms of dynamic behavioral studies is the in situ examination of defect structure formation within materials. In this effort, through utilizing unconventional beam control and automated data analysis, insights into the formation of unique defect structures as …

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Quantitative Electron Beam‐Single Atom Interactions Enabled by Sub‐20‐pm Precision Targeting

Kevin M. Roccapriore, Frances M. Ross, Julian Klein

Abstract The ability to probe and control matter at the picometer scale is essential for advancing quantum and energy technologies. Scanning transmission electron microscopy offers powerful capabilities for materials analysis and modification, but sample damage, drift, and scan distortions hinder single atom …

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