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A.Tegnered, D.Telesca, G.Teplova, N.Terranova, D.Testa, D.Tholerus, E.Thomas, J.Thomas, J. D.Thomas, P.Thompson, A.Thompson, C. -A.Thompson, V. K.Thorne, L.Thornton, A.Thrysoe, A. S.Tigwell, P. A.Tipton, N.Tiseanu, I.Tojo, H.Tokitani, M.Tolias, P.Tomes, M.Tonner, P.Towndrow, M.Trimble, P.Tripsky, M.Tsalas, M.Tsavalas, P.Jun, D. TskhakayaTurner, I.Turner, M. M.Turnyanskiy, M.Tvalashvili, G.Tyrrell, S. G. J.Uccello, A.Ul-Abidin, Z.Uljanovs, J.Ulyatt, D.Urano, H.Uytdenhouwen, I.Vadgama, A. P.Valcarcel, D.Valentinuzzi, M.Valisa, M.Olivares, P. VallejosValovic, M.Van De Mortel, M.Van Eester, D.Van Renterghem, W.van Rooij, G. J.Varje, J.Varoutis, S.Vartanian, S.Vasava, K.Vasilopoulou, T.Vega, J.Verdoolaege, G.Verhoeven, R.Verona, C.Rinati, G. VeronaVeshchev, E.Vianello, N.Vicente, J.Viezzer, E.Villari, S.Villone, F.Vincenzi, P.Vinyar, I.Viola, B.Vitins, A.Vizvary, Z.Vlad, M.Voitsekhovitch, I.Vondracek, P.Vora, N.Vu, T.Pires de Sa, W. W.Wakeling, B.Waldon, C. W. F.Walkden, N.Walker, M.Walker, R.Walsh, M.Wang, E.Wang, N.Warder, S.Warren, R. J.Waterhouse, J.Watkins, N. W.Watts, C.Wauters, T.Weckmann, A.Weiland, J.Weisen, H.Weiszflog, M.Wellstood, C.West, A. T.Wheatley, M. R.Whetham, S.Whitehead, A. M.Whitehead, B. D.Widdowson, A. M.Wiesen, S.Wilkinson, J.Williams, J.Williams, M.Wilson, A. R.Wilson, D. J.Wilson, H. R.Wischmeier, M.Withenshaw, G.Withycombe, A.Witts, D. M.Wood, D.Wood, R.Woodley, C.Wray, S.Wright, J.Wright, J. C.Wu, J.Wukitch, S.Wynn, A.Xu, T.Yadikin, D.Yanling, W.Yao, L.Yavorskij, V.Yoo, M. G.Young, C.Young, D.Young, I. D.Young, R.Zacks, J.Zagorski, R.Zaitsev, F. S.Zanino, R.Zarins, A.Zastrow, K. D.Zerbini, M.Zhang, W.Zhou, Y.Zilli, E.Zoita, V.Zoletnik, S.Zychor, I.2019-09-202019-09-202019-09-202018-01-0110.1080/15361055.2018.1504508https://infoscience.epfl.ch/handle/20.500.14299/161383WOS:000450506500005Fusion energy systems pose unique challenges to the modeling and simulation community. These challenges must be met to ensure the success of the ITER experimental fusion reactor. ITER's complex systems require detailed modeling that goes beyond the scale of comparable simulations to date. In this work, the Denovo radiation transport code was used to calculate neutron fluence and kerma for the JET streaming benchmark. This work was performed on the Titan supercomputer at the Oak Ridge Leadership Computing Facility. Denovo is a novel three-dimensional discrete ordinates transport code designed to be highly scalable. Sensitivity studies have been completed to examine the impact of several deterministic parameters. Results were compared against experiment as well as the MCNP and Shift Monte Carlo codes.Nuclear Science & Technologyfusion energyjetiterradiation transportdiscrete ordinatesmassively-parallelApplication of the Denovo Discrete Ordinates Radiation Transport Code to Large-Scale Fusion Neutronicstext::journal::journal article::research article