activity
20172024
most citedA dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments

6 citations · 20 across the 15 of their papers we have counts for

collaborators

15 papers

physics.optics2024

Non-perturbative cathodoluminescence microscopy of beam-sensitive materials

Malcolm Bogroff, Gabriel Cowley, Ariel Nicastro +9

Cathodoluminescence microscopy is now a well-established and powerful tool for probing the photonic properties of nanoscale materials, but in many cases, nanophotonic materials are…

cond-mat.mtrl-sci2024

Large Bandgap Observed on the Surfaces of EuZn2As2 Single Crystals

Dejia Kong, Siavash Karbasizadeh, Ganesh Narasimha +7

EuM2As2 (M = Zn, Cd, In, Sn etc.) is an excellent material system for studying topological properties, which can be easily tuned by magnetism involved. Theoretical calculations pre…

cond-mat.mtrl-sci2024

Scientific Exploration with Expert Knowledge (SEEK) in Autonomous Scanning Probe Microscopy with Active Learning

Utkarsh Pratiush, Hiroshi Funakubo, Rama Vasudevan +2

Microscopy techniques have played vital roles in materials science, biology, and nanotechnology, offering high-resolution imaging and detailed insights into properties at nanoscale…

cond-mat.mtrl-sci20241 cited

Multiscale structure-property discovery via active learning in scanning tunneling microscopy

Ganesh Narasimha, Dejia Kong, Paras Regmi +4

Atomic arrangements and local sub-structures fundamentally influence emergent material functionalities. The local structures are conventionally probed using spatially resolved stud…

cs.LG20241 cited

Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future opportunities

Arpan Biswas, Sai Mani Prudhvi Valleti, Rama Vasudevan +2

Both computational and experimental material discovery bring forth the challenge of exploring multidimensional and often non-differentiable parameter spaces, such as phase diagrams…

cs.HC20242 cited

Synergizing Human Expertise and AI Efficiency with Language Model for Microscopy Operation and Automated Experiment Design

Yongtao Liu, Marti Checa, Rama K. Vasudevan

With the advent of large language models (LLMs), in both the open source and proprietary domains, attention is turning to how to exploit such artificial intelligence (AI) systems i…