Publications

1. Kii T., Yaji K., Fujita K., Zhenghui S., and Seepersad C.C. Latent crossover for data-driven multifidelity topology design. Journal of Mechanical Design, Vol.**, No.**, p.**, 2024. DOI: 10.1115/1.4064979

2. Tanabe Y., Yaji K., and Ushijima K. Topology optimization using the lattice Boltzmann method for unsteady natural convection problems. Structural and Multidisciplinary Optimization, Vol. 66, No. 103, 2023. DOI: 10.1007/s00158-023-03522-y

3. Yodono T., Yaji K., Yamada T., Furuta K., Izui K., and Nishiwaki S. Topology optimization for the elastic field using the lattice Boltzmann method. Computers and Mathematics with Applications, Vol. 110, pp. 123–134, 2021. DOI: 10.1016/j.camwa.2022.01.032

4. Yaji K., Yamasaki S., and Fujita K. Data-driven multifidelity topology design using a deep generative model: Application to forced convection heat transfer problems, Computer Methods in Applied Mechanics and Engineering, Vol. 388, No. 3, p. 114284, 2022. DOI: 10.1016/j.cma.2021.114284

5. Dong X., Yaji K., and Liu X. Optimum design of micromixer for a non-Newtonian fluid by topology optimization. Chemical Engineering Journal, Vol. 428, p. 131367, 2022. DOI: 10.1016/j.cej.2021.131367

6. Kubo S., Koguchi A., Yaji K., Yamada T., Izui K., and Nishiwaki S.,  Level set-based topology optimization for two dimensional turbulent flow using an immersed boundary method, Journal of Computational Physics, Vol. 446, p. 110630, 2021. DOI: 10.1016/j.jcp.2021.110630

7. Xie S., Yaji K., Takahashi T., Isakari H., Yoshino M., and Matsumoto T. Topology optimization of Navier-Stokes flow using lattice kinetic scheme. Computers and Mathematics with Applications, Vol. 97, pp. 251–266, 2021. DOI: 10.1016/j.camwa.2021.05.032

8. Sakashita M., Yamasaki S., Yaji K., Kawamoto A., and Kondo S. Three-dimensional topology optimization model to simulate variation in bone external shapes. PLOS  Computational Biology,  Vol. 17, No. 6, p. e1009043, 2021. DOI: 10.1371/journal.pcbi.1009043

9. Yamasaki S., Yaji K., and Fujita K. Data-driven topology design using a deep generative model. Structural and Multidisciplinary Optimization, Vol. 64, No. 3, pp. 1401–1420, 2021. DOI: 10.1007/s00158-021-02926-y

10. Kobayashi H., Yaji K., Yamasaki S., and Fujita K. Topology design of two-fluid heat exchange. Structural and Multidisciplinary Optimization,  Vol. 63, No. 2, pp. 821–834, 2021. DOI: 10.1007/s00158-020-02736-8

11. Maruyama S., Yamasaki S., Yaji K., and Fujita K. Topology optimization incorporating external variables with metamodeling. Structural and Multidisciplinary Optimization, Vol. 62, pp. 2455–2466, 2020. DOI: 10.1007/s00158-020-02616-1

12. Nguyen T., Isakari H., Takahashi T., Yaji K., Yoshino M., and Matsumoto T. Level-set based topology optimization of transient flow using lattice Boltzmann method considering oscillating flow condition. Computers and Mathematics with Applications, Vol. 80, No. 1, pp. 82–108, 2020. DOI: 10.1016/j.camwa.2020.03.003

13. Yaji K., Yamasaki S., and Fujita K. Multifidelity design guided by topology optimization. Structural and Multidisciplinary Optimization, Vol. 61, No. 3, pp. 1071–1085, 2020. DOI: 10.1007/s00158-019-02406-4

14. Chen C., Yaji K., Yamasaki S., Tsushima S., and Fujita K. Computational design of flow fields for vanadium redox flow batteries via topology optimization. Journal of Energy Storage, Vol. 26, p. 100990, 2019. DOI: 10.1016/j.est.2019.100990

15. Kobayashi H., Yaji K., Yamasaki S., and Fujita K. Freeform winglet design of fin-and-tube heat exchangers guided by topology optimization. Applied Thermal Engineering, Vol. 161, p. 114020, 2019. DOI: 10.1016/j.applthermaleng.2019.114020

16. Nomura K., Yamasaki S., Yaji K., Bo H., Takahashi A., Kojima T., and Fujita K. Topology optimization of conductors in electrical circuit. Structural and Multidisciplinary Optimization, Vol. 59, No. 6, pp. 2205–2225, 2019. DOI: 10.1007/s00158-018-02187-2

17. Yamasaki S., Yaji K., and Fujita K. Knowledge discovery in databases for determining formulation in topology optimization. Structural and Multidisciplinary Optimization, Vol. 59, No. 2, pp. 595–611, 2019. DOI: 10.1007/s00158-018-2086-0

18. Nomura K., Kondoh T., Ishikawa T., Yamasaki S., Yaji K., and Fujita K. Doping profile optimization for power devices using topology optimization. IEEE Transactions on Electron Devices, Vol. 65, No. 9, pp. 3869–3877, 2018. DOI: 10.1109/TED.2018.2854637

19. Yaji K., Ogino M., Chen C., and Fujita K. Large-scale topology optimization incorporating local-in-time adjoint-based method for unsteady thermal-fluid problem. Structural and Multidisciplinary Optimization, Vol. 58, No. 2, pp. 817–822, 2018. DOI: 10.1007/s00158-018-1922-6

20. Yaji K., Yamasaki S., Tsushima S., Suzuki T., and Fujita K. Topology optimization for the design of flow fields in a redox flow battery. Structural and Multidisciplinary Optimization, Vol. 57, No. 2, pp. 535–546, 2018. DOI: 10.1007/s00158-017-1763-8

21. Sato Y., Yaji K., Izui K., Yamada T., and Nishiwaki S. An optimum design method for a thermal-fluid device incorporating multiobjective topology optimization with an adaptive weighting scheme. Journal of Mechanical Design, Vol. 140, No. 3, p. 031402, 2018. DOI: 10.1115/1.4038209

22. Sato Y., Yaji K., Izui K., Yamada T., and Nishiwaki S. Topology optimization of a no-moving-part valve incorporating Pareto frontier exploration. Structural and Multidisciplinary Optimization, Vol. 56, No. 4, pp. 839–851, 2017. DOI: 10.1007/s00158-017-1690-8

23. Chen C., Yaji K., Yamada T., Izui K., and Nishiwaki S. Local-in-time adjoint-based topology optimization of unsteady fluid flows using the lattice Boltzmann method. Mechanical Engineering Journal, Vol. 4, No. 3, pp. 17–00120, 2017. DOI: 10.1299/mej.17-00120

24. Furuta K., Izui K., Yaji K., Yamada T., and Nishiwaki S. Level set-based topology optimization for the design of a Peltier effect thermoelectric actuator. Structural and Multidisciplinary Optimization, Vol. 55, No. 5, pp. 1671–1683, 2017. DOI: 10.1007/s00158-016-1609-9

25. Kubo S., Yaji K., Yamada T., Izui K., and Nishiwaki S. A level set-based topology optimization method for optimal manifold designs with flow uniformity in plate-type microchannel reactors. Structural and Multidisciplinary Optimization, Vol. 55, No. 4, pp. 1311–1327, 2017. DOI: 10.1007/s00158-016-1577-0

26. Yaji K., Otomori M., Yamada T., Izui K., Nishiwaki S., and Pironneau O. Shape and topology optimization based on the convected level set method. Structural and Multidisciplinary Optimization, Vol. 54, No. 3, pp. 659–672, 2016. DOI: 10.1007/s00158-016-1444-z

27. Yaji K., Yamada T., Yoshino M., Matsumoto T., Izui K., and Nishiwaki S. Topology optimization in thermal fluid flow using the lattice Boltzmann method. Journal of Computational Physics, Vol. 307, pp. 355–377, 2016. DOI: 10.1016/j.jcp.2015.12.008

28. Yaji K., Yamada T., Kubo S., Izui K., and Nishiwaki S. A topology optimization method for a coupled thermal-fluid problem using level set boundary expressions. International Journal of Heat and Mass Transfer, Vol. 81, pp. 878–888, 2015. DOI: 10.1016/j.ijheatmasstransfer.2014.11.005

29. Yaji K., Yamada T., Yoshino M., Matsumoto T., Izui K., and Nishiwaki S. Topology optimization using the lattice Boltzmann method incorporating level set boundary expressions. Journal of Computational Physics, Vol. 274, pp. 158–181, 2014. DOI: 10.1016/j.jcp.2014.06.004

1. Kii T., Yaji K., Fujita K., Zhenghui S., and Seepersad C.C. Data-driven multifidelity topology design with a latent crossover operation. Proceedings of the ASME Design Engineering Technical Conference, No. IDETC2023-111079, Boston, August 2023. DOI: 10.1115/DETC2023-111079

2. Kato M., Kii T., Yaji K., and Fujita K. Tackling an exact maximum stress minimization problem with gradient-free topology optimization incorporating a deep generative model. Proceedings of the ASME Design Engineering Technical Conference, No. IDETC2023-111265, Boston, August 2023. DOI: 10.1115/DETC2023-111265

3. Tsumoto R., Fujita K., Nomaguchi Y., Yamasaki S., and Yaji K. Classification-directed conceptual structure design based on topology optimization. Proceedings of the ASME Design Engineering Technical Conference, No. IDETC2022-88548, Online, August 2022. DOI: 10.1115/DETC2022-88548

4. Fujita K., Minowa K., Nomaguchi Y., Yamasaki S., and Yaji K. Design concept generation with variational deep embedding over comprehensive optimization. Proceedings of the ASME Design Engineering Technical Conference, No. IDETC2021-69544, Online, August 2021. DOI: 10.1115/DETC2021-69544

5. Minowa K., Fujita K., Nomaguchi Y., Yamasaki S., and Yaji K. Variational deep embedding mines concepts from comprehensive optimal designs. Proceedings of Ninth International Conference on Design Computing and Cognition, Atlanta, December 2020.

6. Nomura K., Takahashi A., Kojima T., Yamasaki S., Yaji K., Bo H., and Fujita K. Topology-Optimization-Based EMC Design. Proceedings of EMC Europe 2019, Barcelona, September 2019. DOI: 10.1109/EMCEurope.2019.8871981

7. Yaji K., Yamasaki S., and Fujita K. A framework of multi-fidelity topology design and its application to optimum design of flow fields in battery systems. Proceedings of the ASME Design Engineering Technical Conference, No. IDETC2019-97675, Anaheim, August 2019. DOI: 10.1115/DETC2019-97675

8. Yaji K. Topology optimization for porous cooling systems. Itou H., Hirano S., Kimura M., Kovtunenko V. A., and Khludnev A. M. eds., International Conference Continuum Mechanics Focusing on Singularities, pp. 147–156. Springer, 2018. DOI: 10.1007/978-981-15-6062-0_10

9. Yaji K., Yamasaki S., and Fujita K. Topology design via physics-based surrogate optimization for turbulent heat transfer. Proceedings of Asian Congress of Structural and Multidisciplinary Optimization, No. 1B2-4, Dalian, May 2018.

10. Kubo S., Koguchi A., Yaji K., Yamada T., Izui K., and Nishiwaki S. A level-set based topology optimization method for incompressible flow incorporating with an immersed boundary method. Proceedings of EUROGEN 2017, No. 039, Madrid, September 2017.

11. Yamasaki S., Yaji K., and Fujita K. Knowledge discovery in dataset generated by topology optimization. Proceedings of 12th World Congress on Structural and Multidisciplinary Optimization, No. 428, Braunschweig, June 2017. DOI: 10.1007/978-3-319-67988-4_87

12. Nomura K., Kondoh T., Ishikawa T., Yamasaki S., Yaji K., and Fujita K. Topology optimization of power semiconductor devices. Proceedings of 12th World Congress on Structural and Multidisciplinary Optimization, No. 406, Braunschweig, June 2017. DOI: 10.1007/978-3-319-67988-4_126

13. Maruyama S., Yamasaki S., Yaji K., and Fujita K. Integrated design of permanent magnet synchronous motor by incorporating magnet layout and yoke topology optimizations. Proceedings of 12th World Congress on Structural and Multidisciplinary Optimization, No. 418, Braunschweig, June 2017. DOI: 10.1007/978-3-319-67988-4_128

14. Bo H., Yamasaki S., Nomura K. Y. K., Takahashi A., and Fujita K. Conductor layout optimization for reducing the magnetic coupling noise of a filter circuit board. Proceedings of 12th World Congress on Structural and Multidisciplinary Optimization, No. 412, Braunschweig, June 2017. DOI: 10.1007/978-3-319-67988-4_127

15. Yaji K., Yamada T., Yoshino M., Matsumoto T., Izui K., and Nishiwaki S. Level set-based topology optimization using the lattice Boltzmann method considering two-phase fluid flows. Proceedings of 11th World Congress on Structural and Multidisciplinary Optimization, No. 1302, Sydney, June 2015.

16. Yaji K., Yamada T., Yoshino M., Matsumoto T., Izui K., and Nishiwaki S. Level set-based topology optimization method for viscous flow using lattice Boltzmann method. Proceedings of 10th World Congress on Structural and Multidisciplinary Optimization, No. 5171, Florida, May 2013.

17. Yaji K., Yamada T., Izui K., and Nishiwaki S. Topology optimization method using level set boundary expressions in Navier Stokes flow. Proceedings of 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, No. 5526, Indiana, September 2012. DOI: 10.2514/6.2012-5526

18. Yaji K., Yamada T., Izui K., and Nishiwaki S. Level set based-topology optimization in a viscous fluid under Oseen approximation. Proceedings of 7th China-Japan-Korea Joint Symposium on Optimization of Structural and Mechanical Systems, No. J069, Huangshan, Jun 2012.

Yaji K. Topology optimization using the lattice Boltzmann method and applications in flow channel designs considering thermal and two-phase fluid flows, Kyoto University, 2016.