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Profil bibliographique

Rama Krishnan Vasudevan

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

401Publications signalées
7258Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Machine Learning in Materials ScienceFerroelectric and Piezoelectric MaterialsElectronic and Structural Properties of OxidesForce Microscopy Techniques and ApplicationsAdvanced Electron Microscopy Techniques and Applications

Les publications récentes

Accès ouvert 2026 dataset OpenAlex

An Open-Source Hardware and Software Toolkit to Enable Agentic RHEED-Guided Thin-Film Synthesis

Asraful Haque, Christopher M. Rouleau, Rama Krishnan Vasudevan, Sumner B. Harris

Supporting Movies/data files Movie M1. STO_stepped_-100_300C_15.8kV_1.4A_5000us.mp4: Rocking curve of TiO2-terminated SrTiO₃ (001) at 300 °C, beam along [100], 15.8 kV, 5000 µs exposure, 1236 frames at 20 fps. Six sinusoidal rocking curve cycles; the dataset of Figure 5. Movie M2. STO N-2_0.mp4: …

0 citations Zenodo (CERN European Organization for Nuclear Research)
Accès ouvert 2026 dataset OpenAlex

An Open-Source Hardware and Software Toolkit to Enable Agentic RHEED-Guided Thin-Film Synthesis

Asraful Haque, Christopher M. Rouleau, Rama Krishnan Vasudevan, Sumner B. Harris

Supporting Movies/data files Movie M1. STO_stepped_-100_300C_15.8kV_1.4A_5000us.mp4: Rocking curve of TiO2-terminated SrTiO₃ (001) at 300 °C, beam along [100], 15.8 kV, 5000 µs exposure, 1236 frames at 20 fps. Six sinusoidal rocking curve cycles; the dataset of Figure 5. Movie M2. STO N-2_0.mp4: …

0 citations Zenodo (CERN European Organization for Nuclear Research)
Accès ouvert 2026 article OpenAlex

Accelerating Structure–Property Relationship Discovery with Multimodal Machine Learning and Self-Driving Microscopy

Jiawei Gong, Danqing Ma, Ralph Bulanadi, R. G. Moore et autres

Microscopy combined with local spectroscopy is widely used to correlate nanoscale structure with functional properties in materials, but conventional measurements rely heavily on human-selected sampling locations and predefined targets, limiting data set diversity and the potential for discovery. Here, we present a …

us (code pays fourni par la source)

0 citations ACS Nano
Accès ouvert 2026 article OpenAlex

Scan‐Path‐ and Initial‐State‐Dependent Superdomain Switching in (111)‐Oriented PZT

Rama Krishnan Vasudevan, Laveeza Ahmad, Bharat Pant, Ralph Bulanadi et autres

ABSTRACT Polarization switching in ferroelectric materials arises from the collective evolution of complex domain hierarchies, yet deterministic control over these processes remains challenging. Here, we investigate scan‐path‐ and initial‐state‐dependent switching in epitaxial (111)‐oriented PbZr 0.2 Ti 0.8 O 3 thin films using …

us, tw (code pays fourni par la source)

1 citation Advanced Electronic Materials
2026 article OpenAlex

High-throughput 4D-STEM Demands Inference-sufficient Representations: Practical Lessons from Lossless Compression Benchmarks

Ondrej Dyck, Andrew R. Lupini, Albina Borisevich, Miaofang Chi et autres

High-throughput microscopy increasingly forces an uncomfortable but scientifically central choice: when detectors can produce data faster than we can store, move, and interactively analyze it, the limiting resource becomes storage, bandwidth, and transfer speeds. In practice, this means that some information will …

us (code pays fourni par la source)

0 citations Microscopy and Microanalysis
Accès ouvert 2026 article OpenAlex

From Acquisition to Answers: Developing Open-Source Automation and Quantitative Analysis Workflows with Built-In Statistics for Electron Microscopy

Alexis N. Williams, Lynnicia N Massenburg, Sita Sirisha Madugula, Amber N Bible et autres

Automated electron microscopes are making it routine to collect large volumes of data at a pace that outstrips manual interpretation. This gap is especially evident when experiments span heterogeneous samples, variable contrast, noisy data, and subtle or sparse nanoscale features. Here we …

us (code pays fourni par la source)

0 citations Microscopy and Microanalysis
Accès ouvert 2026 preprint OpenAlex

TileBac: A Benchmark CryoEM Dataset of Bacteria in Ultralow-Dose Montage Tiles

Lynnicia N. Massenburg, Sita Sirisha Madugula, Spenser R. Brown, Amber B. Webb et autres

Abstract Current segmentation models are capable of routine identification of biological features in noisy cryogenic electron microscopy (cryoEM) images. However, there are still challenges with complete segmentation of high boundary, thin objects such as bacterial cell envelopes and flagella. Moreover, ultralow-dose cryoEM …

us (code pays fourni par la source)

0 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2026 preprint OpenAlex

Facility-Scale Workflows for Data Acquisition, Standardization, Machine Learning Analysis, and Reproducible Science

Sita Sirisha Madugula, Spenser R. Brown, Amber N Bible, Ruben Millan Solsona et autres

Abstract Scientific user facilities routinely generate large-scale microscopy datasets across diverse instruments and vendors, differing substantially in file formats, dimensionality, and resolution. Beyond these inconsistencies, datasets are frequently fragmented living across isolated instruments and constrained by security policies and uneven metadata practices. …

us (code pays fourni par la source)

0 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2026 article OpenAlex

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 …

us (code pays fourni par la source)

1 citation npj Computational Materials

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