Publications (12)
Automated Materials Discovery Platform Realized: Scanning Probe Microscopy of Combinatorial Libraries
Yu Liu, Aditya Raghavan, Utkarsh Pratiush +13
Combinatorial materials libraries provide a powerful platform for mapping how physical properties evolve across binary and ternary cross-sections of multicomponent phase diagrams.…
Evolution of ferroelectric properties in SmxBi1-xFeO3 via automated Piezoresponse Force Microscopy across combinatorial spread libraries
Aditya Raghavan, Rohit Pant, Ichiro Takeuchi +6
Combinatorial spread libraries offer a unique approach to explore evolution of materials properties over the broad concentration, temperature, and growth parameter spaces. However,…
Half quantum vortices and Majorana fermions in triplet superconductors
Hae-Young Kee, Aditya Raghavan, Kazumi Maki
Half quantum vortices (HQVs) in superfluid have been speculated since 1976. Two years ago, Yamashita et al reported a very unusual NMR satellite in the rotating superfluid…
Hidden Markov Models with Random Restarts vs Boosting for Malware Detection
Aditya Raghavan, Fabio Di Troia, Mark Stamp
Effective and efficient malware detection is at the forefront of research into building secure digital systems. As with many other fields, malware detection research has seen a dra…
Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy
Utkarsh Pratiush, Austin Houston, Kamyar Barakati +70
Microscopy is a primary source of information on materials structure and functionality at nanometer and atomic scales. The data generated is often well-structured, enriched with me…
Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization
Aditya Raghavan, Utkarsh Pratiush, Mani Valleti +6
Physical imaging is a foundational characterization method in areas from condensed matter physics and chemistry to astronomy and spans length scales from atomic to universe. Images…
SAM: Task-Adaptive SAM with Physics-Guided Rewards
Kamyar Barakati, Utkarsh Pratiush, Sheryl L. Sanchez +5
Image segmentation is a critical task in microscopy, essential for accurately analyzing and interpreting complex visual data. This task can be performed using custom models trained…
Disorder-enhanced phase coherence in trapped bosons on optical lattices
Pinaki Sengupta, Aditya Raghavan, Stephan Haas
The consequences of disorder on interacting bosons trapped in optical lattices are investigated by quantum Monte Carlo simulations. At small to moderate strengths of potential diso…
Chiral d-wave superconductivity in the heavy-fermion compound CeIrIn_5
Kazumi Maki, Aditya Raghavan, Stephan Haas
Recent thermal conductivity measurements in the heavy-fermion compound CeIrIn_5 indicate that its superconducting order parameter is very different from CeCoIn_5. Here we show that…
Multitask Scanning Probe Microscopy
Aditya Raghavan, Yu Liu, Ian Mercer +2
Scanning probe microscopy provides nanoscale access to structural, electrical, electromechanical, magnetic, and mechanical properties of materials. Its increasing use for wafer-sca…
Superconductivity in Compositionally-Complex Cuprates with the YBaCuO Structure
Aditya Raghavan, Nathan Arndt, Nayelie Morales-Colón +8
High-temperature superconductivity is reported in a series of compositionally-complex cuprates with varying degrees of size and spin disorder. Three compositions of Y-site alloyed…
Rapid optimization in high dimensional space by deep kernel learning augmented genetic algorithms
Mani Valleti, Aditya Raghavan, Sergei V. Kalinin
Exploration of complex high-dimensional spaces presents significant challenges in fields such as molecular discovery, process optimization, and supply chain management. Genetic Alg…