activity
20162024
most citedInversion of lattice models from the observations of microscopic degrees of freedom: parameter estimation with uncertainty quantification

2 citations · 5 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2024★ 1 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…

cond-mat.mtrl-sci2023★ 1 cited

AEcroscoPy: A software-hardware framework empowering microscopy toward automated and autonomous experimentation

Yongtao Liu, Kevin Roccapriore, Marti Checa +4

Microscopy, in particular scanning probe and electron microscopy, has been pivotal in improving our understanding of structure-function relationships at the nanoscale and is by now…

physics.ins-det2023

A processing and analytics system for microscopy data workflows: the Pycroscopy ecosystem of packages

Rama Vasudevan, Mani Valleti, Maxim Ziatdinov +2

Major advancements in fields as diverse as biology and quantum computing have relied on a multitude of microscopic techniques. All optical, electron and scanning probe microscopy a…

cond-mat.mtrl-sci2020

Bayesian learning of adatom interactions from atomically-resolved imaging data

Mani Valleti, Qiang Zou, Rui Xue +8

Atomic structures and adatom geometries of surfaces encode information about the thermodynamics and kinetics of the processes that lead to their formation, and which can be capture…

cond-mat.mtrl-sci2020

Decoding the mechanisms of phase transitions from in situ microscopy observations

Mani Valleti, Reinis Ignatans, Sergei V. Kalinin +1

Temperature-induced phase transition in BaTiO3 has been explored using the machine learning analysis of domain morphologies visualized via variable-temperature scanning transmissio…

cond-mat.stat-mech2020★ 1 cited

Reconstruction of the lattice Hamiltonian models from the observations of microscopic degrees of freedom in the presence of competing interactions

Sai Mani Prudhvi Valleti, Lukas Vlcek, Maxim Ziatdinov +2

The emergence of scanning probe and electron beam imaging techniques have allowed quantitative studies of atomic structure and minute details of electronic and vibrational structur…

cond-mat.stat-mech2019★ 2 cited

Inversion of lattice models from the observations of microscopic degrees of freedom: parameter estimation with uncertainty quantification

Sai Mani Prudhvi Valleti, Lukas Vlcek, Rama K. Vasudevan +1

Experimental advances in condensed matter physics and material science have enabled ready access to atomic-resolution images, with resolution of modern tools often sufficient to ex…

cond-mat.mtrl-sci2016

Understanding the negative temperature coefficient phenomenon in methane-air mixtures at high pressures

Anand Parejiya, Manjeet Chaudhary, Sai Mani Prudhvi Valleti +3

Design and operation of advanced reactors such as fuel reformers require reliable micro-kinetic models that capture the dynamics of the reaction. The negative temperature coefficie…