Search Results - "Holber, J."

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  1. 1
    Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order–disorder transitions in LixCoO2

    Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order–disorder transitions in LixCoO2 by Shojaei, M. Faghih, Holber, J., Das, S., Teichert, G.H., Mueller, T., Hung, L., Gavini, V., Garikipati, K.

    “…LixTMO2 (TM=Ni, Co, Mn) forms an important family of cathode materials for Li-ion batteries, whose performance is strongly governed by Li composition-dependent…”
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  2. 2
    Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order–disorder transitions in Li x CoO 2

    Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order–disorder transitions in Li x CoO 2 by Shojaei, M. Faghih, Holber, J., Das, S., Teichert, G.H., Mueller, T., Hung, L., Gavini, V., Garikipati, K.

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  3. 3
    mechanoChemML: A software library for machine learning in computational materials physics

    mechanoChemML: A software library for machine learning in computational materials physics by Zhang, X., Teichert, G.H., Wang, Z., Duschenes, M., Srivastava, S., Livingston, E., Holber, J., Shojaei, M. Faghih, Sundararajan, A., Garikipati, K.

    Published in Computational materials science (01-08-2022)
    “…We present mechanoChemML, a machine learning software library for computational materials physics. mechanoChemML is designed to function as an interface…”
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  4. 4
    Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order disorder transitions in LixCoO2

    Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order disorder transitions in LixCoO2 by Teichert, G. H, Das, S, Shojaei, M. Faghih, Holber, J, Mueller, T, Hung, L, Gavini, V, Garikipati, K

    Published 17-02-2023
    “…LixTMO2 (TM=Ni, Co, Mn) forms an important family of cathode materials for Li-ion batteries, whose performance is strongly governed by Li composition-dependent…”
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  5. 5
    mechanoChemML: A software library for machine learning in computational materials physics

    mechanoChemML: A software library for machine learning in computational materials physics by Zhang, X, Teichert, G. H, Wang, Z, Duschenes, M, Srivastava, S, Livingston, E, Holber, J, Shojaei, M. Faghih, Sundararajan, A, Garikipati, K

    Published 09-12-2021
    “…We present mechanoChemML, a machine learning software library for computational materials physics. mechanoChemML is designed to function as an interface…”
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