CH in stellar atmospheres: an extensive linelist von Masseron, T., Plez, B., Van Eck, S., Colin, R., Daoutidis, I., Godefroid, M., Coheur, P.-F., Bernath, P., Jorissen, A., Christlieb, N.

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Gamma-ray strength at low energies using relativistic QRPA with exact coupling to the continuum von Daoutidis, I, Goriely, S

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Special issue based on papers presented at the 2005 IFAC world congress von Daoutidis, Prodromos

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Improved Relativistic QRPA calculations of the {gamma}-ray strength von Daoutidis, I., Goriely, S., Arteaga, D. Pena, Ring, P.

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Application of the {gamma}SF method to palladium von Utsunomiya, H., Akimune, H., Yamagata, T., Kondo, T., Iwamoto, C., Kamata, M., Itoh, O., Goriely, S., Daoutidis, I., Arteaga, D. P., Harada, H., Kitatani, F., Goko, S., Faculty of Engineering, Hokkaido University, Sapporo 060-8628, Toyokawa, H., Yamada, K., Lui, Y.-W., Hilaire, S., Koning, A. J.

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Large-scale Continuum Random Phase Approximation predictions of dipole strength for astrophysical applications von Daoutidis, I, Goriely, S

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Relativistic Continuum Quasiparticle Random Phase Approximation in Spherical Nuclei von Daoutidis, I, Ring, P

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CH in stellar atmospheres: an extensive linelist von Masseron, T, Plez, B, S Van Eck, Colin, R, Daoutidis, I, Godefroid, M, Coheur, P F, Bernath, P, Jorissen, A, Christlieb, N

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The MoLLIST dataset for 12C1H von Tennyson, J., Yurchenko, S. N., Al-Refaie, A. F., Clark, V. H. J., Chubb, K. L., Conway, E. K., Dewan, A., Gorman, M. N., Hill, C., Lynas-Gray, A. E., Mellor, T., McKemmish, L. K., Owens, A., Polyansky, O. L., Semenov, M., Somogyi, W., Tinetti, G., Upadhyay, A., Waldmann, I., Wang, Y., Wright, S., Yurchenko, O. P., Masseron, T., Plez, B., Van Eck, S., Colin, R., Daoutidis, I., Godefroid, M., Coheur, P. -F., Bernath, P., Jorissen, A., Christlieb, N., Bernath, P.F., Rocchetto, M., Min, M., Barstow, J. K., Molliere, P., Al-Refaie, A. F, Phillips, M. W.

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The MoLLIST dataset for 13C1H von Tennyson, J., Yurchenko, S. N., Al-Refaie, A. F., Clark, V. H. J., Chubb, K. L., Conway, E. K., Dewan, A., Gorman, M. N., Hill, C., Lynas-Gray, A. E., Mellor, T., McKemmish, L. K., Owens, A., Polyansky, O. L., Semenov, M., Somogyi, W., Tinetti, G., Upadhyay, A., Waldmann, I., Wang, Y., Wright, S., Yurchenko, O. P., Masseron, T., Plez, B., Van Eck, S., Colin, R., Daoutidis, I., Godefroid, M., Coheur, P. -F., Bernath, P., Jorissen, A., Christlieb, N.

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Power-to-X: A review and perspective von Palys, Matthew J., Daoutidis, Prodromos

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Zeolitic imidazolate framework membranes made by ligand-induced permselectivation von Ma, Xiaoli, Kumar, Prashant, Mittal, Nitish, Khlyustova, Alexandra, Daoutidis, Prodromos, Mkhoyan, K Andre, Tsapatsis, Michael

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Taking the human out of decomposition-based optimization via artificial intelligence, Part II: Learning to initialize von Mitrai, Ilias, Daoutidis, Prodromos

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Taking the human out of decomposition-based optimization via artificial intelligence, Part I: Learning when to decompose von Mitrai, Ilias, Daoutidis, Prodromos

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A multicut generalized benders decomposition approach for the integration of process operations and dynamic optimization for continuous systems von Mitrai, Ilias, Daoutidis, Prodromos

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Microgrid/Macrogrid Energy Exchange: A Novel Market Structure and Stochastic Scheduling von Zachar, Michael, Daoutidis, Prodromos

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Efficient Solution of Enterprise-Wide Optimization Problems Using Nested Stochastic Blockmodeling von Mitrai, Ilias, Daoutidis, Prodromos

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Dissipativity learning control (DLC): A framework of input–output data-driven control von Tang, Wentao, Daoutidis, Prodromos

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Dissipativity learning control (DLC): Theoretical foundations of input–output data-driven model-free control von Tang, Wentao, Daoutidis, Prodromos

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Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition von Mitrai, Ilias, Daoutidis, Prodromos

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