Mordechai Kornbluth
Cited by
Cited by
E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials
S Batzner, A Musaelian, L Sun, M Geiger, JP Mailoa, M Kornbluth, ...
Nature Communications 13, 2453, 2022
Learning local equivariant representations for large-scale atomistic dynamics
A Musaelian, S Batzner, A Johansson, L Sun, CJ Owen, M Kornbluth, ...
Nature Communications 14 (1), 579, 2023
Accurate and scalable graph neural network force field and molecular dynamics with direct force architecture
CW Park, M Kornbluth, J Vandermause, C Wolverton, B Kozinsky, ...
npj Computational Materials 7 (1), 73, 2021
Light-induced electronic non-equilibrium in plasmonic particles
M Kornbluth, A Nitzan, T Seideman
The Journal of chemical physics 138 (17), 2013
A fast neural network approach for direct covariant forces prediction in complex multi-element extended systems
JP Mailoa, M Kornbluth, S Batzner, G Samsonidze, ST Lam, ...
Nature machine intelligence 1 (10), 471-479, 2019
Analysis of shot-to-shot variability in post-disruption runaway electron currents for diverted DIII-D discharges
VA Izzo, DA Humphreys, M Kornbluth
Plasma Physics and Controlled Fusion 54, 095002, 2012
Resistance to fracture in the glassy solid electrolyte Lipon
S Kalnaus, AS Westover, M Kornbluth, E Herbert, NJ Dudney
Journal of Materials Research 36, 787-796, 2021
Negentropy generation and fractality in the dry friction of polished surfaces
P Fleurquin, H Fort, M Kornbluth, R Sandler, M Segall, F Zypman
Entropy 12 (3), 480-489, 2010
Plasma synthesis of spherical crystalline and amorphous electrolyte nanopowders for solid-state batteries
AS Westover, AK Kercher, M Kornbluth, M Naguib, MJ Palmer, DA Cullen, ...
ACS applied materials & interfaces 12 (10), 11570-11578, 2020
Group theoretical approach to computing phonons and their interactions
L Fu, M Kornbluth, Z Cheng, CA Marianetti
Physical Review B 100 (1), 014303, 2019
Uncertainties of coherent states for a generalized supersymmetric annihilation operator
M Kornbluth, F Zypman
Journal of Mathematical Physics 54 (1), 2013
A community-powered search of machine learning strategy space to find NMR property prediction models
LA Bratholm, W Gerrard, B Anderson, S Bai, S Choi, L Dang, P Hanchar, ...
Plos one 16 (7), e0253612, 2021
Spectral Denoising for Accelerated Analysis of Correlated Ionic Transport
N Molinari, Y Xie, I Leifer, M Kornbluth, B Kozinsky
Physical Review Letters 127, 025901, 2021
Desalination electrode
KIM Soo, J Mailoa, M Kornbluth, G Samsonidze, M Metzger, S Kuppan, ...
US Patent 10,988,391, 2021
Origin of Spinel Nanocheckerboards via First Principles
M Kornbluth, CA Marianetti
Physical Review Letters 114 (22), 226102, 2015
Receptors and spacers for a fluorescence-based lead ion chemosensor
M Kornbluth, K Sagar, J Mailoa, KIM Soo
US Patent 11,193,891, 2021
Fuel cell electrode catalyst layer coating
KIM Soo, J Mailoa, M Kornbluth, Y Gorlin, G Samsonidze, B Kozinsky, ...
US Patent 11,145,875, 2021
Desalination device
KIM Soo, M Metzger, J Mailoa, M Kornbluth, G Samsonidze, S Kuppan, ...
US Patent App. 16/448,440, 2020
Amorphous LiF as an Artificial SEI Layer for Lithium Batteries
M Kornbluth, J Mailoa, B Kozinsky, G Samsonidze, JF Christensen
US Patent App. 16/046,867, 2019
Efficient scaling of neural-network interatomic potential prediction on CPU clusters
M Kornbluth, J Mailoa
US Patent 11,815,945, 2023
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