Search Results - Bandi, Sasaank

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  1. 1
    Benchmarking machine learning interatomic potentials via phonon anharmonicity

    Benchmarking machine learning interatomic potentials via phonon anharmonicity by Bandi, Sasaank, Jiang, Chao, Marianetti, Chris A

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  2. 2
    Precisely computing phonons via irreducible derivatives

    Precisely computing phonons via irreducible derivatives by Bandi, Sasaank, Marianetti, C. A.

    Published in Physical review. B
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  3. 3
    Precisely computing phonons via irreducible derivatives

    Precisely computing phonons via irreducible derivatives by Bandi, Sasaank, Marianetti, C. A.

    Published in Physical review. B
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  4. 4
    Benchmarking machine learning interatomic potentials via phonon anharmonicity

    Benchmarking machine learning interatomic potentials via phonon anharmonicity by Bandi, Sasaank, Jiang, Chao, Marianetti, Chris A.

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  5. 5
    Validation of non‐negative matrix factorization for rapid assessment of large sets of atomic pair distribution function data

    Validation of non‐negative matrix factorization for rapid assessment of large sets of atomic pair distribution function data by Liu, Chia-Hao, Wright, Christopher J., Gu, Ran, Bandi, Sasaank, Wustrow, Allison, Todd, Paul K., O'Nolan, Daniel, Beauvais, Michelle L., Neilson, James R., Chupas, Peter J., Chapman, Karena W., Billinge, Simon J. L.

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  6. 6
    Bioinspired Multifunctional Ceramic Platelet‐Reinforced Piezoelectric Polymer Composite

    Bioinspired Multifunctional Ceramic Platelet‐Reinforced Piezoelectric Polymer Composite by Xu, Zhe, Bykova, Julia, Baniasadi, Mahmoud, Moreno, Salvador, Zhou, Zhong, Das, Nandita, Bandi, Sasaank, Xi, Yang, Qian, Dong, Baughman, Ray H., Minary‐Jolandan, Majid

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  7. 7
    Precisely computing phonons via irreducible derivatives

    Precisely computing phonons via irreducible derivatives by Bandi, Sasaank, Marianetti, C A

    Published in arXiv.org
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  8. 8
    Benchmarking phonon anharmonicity in machine learning interatomic potentials

    Benchmarking phonon anharmonicity in machine learning interatomic potentials by Bandi, Sasaank, Jiang, Chao, Marianetti, Chris A

    Published in arXiv.org
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  9. 9
    Validation of non-negative matrix factorization for assessment of atomic pair-distribution function (PDF) data in a real-time streaming context

    Validation of non-negative matrix factorization for assessment of atomic pair-distribution function (PDF) data in a real-time streaming context by Chia-Hao, Liu, Wright, Christopher J, Gu, Ran, Bandi, Sasaank, Wustrow, Allison, Todd, Paul K, O'Nolan, Daniel, Beauvais, Michelle L, Neilson, James R, Chupas, Peter J, Chapman, Karena W, Billinge, Simon J L

    Published in arXiv.org
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