activity
20182020
most citedApplication of variational policy gradient to atomic-scale materials synthesis

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

collaborators

7 papers

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…

physics.comp-ph20202 cited

Application of variational policy gradient to atomic-scale materials synthesis

Siyan Liu, Nikolay Borodinov, Lukas Vlcek +3

Atomic-scale materials synthesis via layer deposition techniques present a unique opportunity to control material structures and yield systems that display unique functional proper…

physics.comp-ph20201 cited

Off-the-shelf deep learning is not enough: parsimony, Bayes and causality

Rama K. Vasudevan, Maxim Ziatdinov, Lukas Vlcek +1

Deep neural networks ("deep learning") have emerged as a technology of choice to tackle problems in natural language processing, computer vision, speech recognition and gameplay, a…

cond-mat.stat-mech20201 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

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-sci20191 cited

Order and randomness in dopant distributions: exploring the thermodynamics of solid solutions from atomically resolved imaging

Lukas Vlcek, Shize Yang, Yongji Gong +6

Exploration of structure-property relationships as a function of dopant concentration is commonly based on mean field theories for solid solutions. However, such theories that work…