Michael D’Mello

Physics and Astronomy · Physical Sciences

15h-index923citations44works2.02yr avg
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Research Topics

Advanced Chemical Physics Studies(18), Advanced Memory and Neural Computing(11), Neural dynamics and brain function(11), Spectroscopy and Quantum Chemical Studies(10), Neuroscience and Neural Engineering(9)

Publications44 total

Aurora: Architecting Argonne's First Exascale Supercomputer for Accelerated Scientific Discovery
arXiv (Cornell University)·2025Open Access
Supercomputer framework for reverse engineering firing patterns of neuron populations to identify their synaptic inputs
eLife·2024· 6 citedOpen Access
Author response: Supercomputer framework for reverse engineering firing patterns of neuron populations to identify their synaptic inputs
2024Open Access
Supercomputer framework for reverse engineering firing patterns of neuron populations to identify their synaptic inputs
2023· 2 citedOpen Access
Author Response: Supercomputer framework for reverse engineering firing patterns of neuron populations to identify their synaptic inputs
2023Open Access
Reviewer #1 (Public Review): Supercomputer framework for reverse engineering firing patterns of neuron populations to identify their synaptic inputs
2023Open Access
Supercomputer framework for reverse engineering firing patterns of neuron populations to identify their synaptic inputs
eLife·2023· 10 citedOpen Access
Reviewer #2 (Public Review): Supercomputer framework for reverse engineering firing patterns of neuron populations to identify their synaptic inputs
2023Open Access
Author Response: Supercomputer framework for reverse engineering firing patterns of neuron populations to identify their synaptic inputs
2023Open Access
Supercomputer framework for reverse engineering firing patterns of neuron populations to identify their synaptic inputs
2023Open Access
Reviewer #1 (Public Review): Supercomputer framework for reverse engineering firing patterns of neuron populations to identify their synaptic inputs
2023Open Access
Supercomputer framework for reverse engineering firing patterns of neuron populations to identify their synaptic inputs
2022· 2 citedOpen Access
Prediction of correlation energies using variational subspace valence bond
The Journal of Chemical Physics·2022· 1 citedOpen Access
Thermodynamics of monoclinic and tetragonal hafnium dioxide (HfO2) at ambient pressure
Calphad·2020· 28 citedOpen Access
Scalability of OpenFOAM Density-Based Solver with Runge–Kutta Temporal Discretization Scheme
Scientific Programming·2020· 14 citedOpen Access
<b> <scp>Valence</scp> </b> : A Massively Parallel Implementation of the Variational Subspace Valence Bond Method
Journal of Computational Chemistry·2019· 3 citedOpen Access
Valence: A Massively Parallel Implementation of the Variational Subspace Valence Bond Method
2018Open Access
Valence: A Massively Parallel Implementation of the Variational Subspace Valence Bond Method
2018· 1 citedOpen Access
An efficient MPI/openMP parallelization of the Hartree-Fock method for the second generation of Intel<sup>®</sup>Xeon Phi<sup>™</sup>processor
2017· 23 citedOpen Access
An efficient MPI/OpenMP parallelization of the Hartree–Fock–Roothaan method for the first generation of Intel® Xeon Phi™ processor architecture
The International Journal of High Performance Computing Applications·2017· 21 citedOpen Access
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Frequent Co-authors

Róbert E. Wyatt(15), Matthieu K. Chardon(11), Y. Curtis Wang(11), Emre Besler(11), James A. Beauchamp(11), Randall K. Powers(11), C. J. Heckman(11), David E. Manolopoulos(7), Marta García(6), Marta García-Gasulla(5), Colleen Bertoni(5), Graham D. Fletcher(4), Murat Keçeli(4), L. Schnieder(3), F. J. Aoiz(3), Vı́ctor J. Herrero(3), Luis Bañares(3), Johnny Chang(3), Nancy J. Brown(3), Herschel Rabitz(3)