Items where authors include "Gibson, S.J."

Article

Cross, E.J. orcid.org/0000-0001-5204-1910, Rogers, T.J. orcid.org/0000-0002-3433-3247, Pitchforth, D.J. et al. (3 more authors) (2024) A spectrum of physics-informed Gaussian processes for regression in engineering. Data-Centric Engineering, 5 (11). e8. ISSN 2632-6736

Sou, S.N. orcid.org/0000-0003-4115-5159, Harris, C.L., Williams, R. et al. (10 more authors) (2023) CHO synthetic promoters improve expression and product quality of biotherapeutic proteins. Biotechnology Progress. ISSN 8756-7938

Gibson, S.J. orcid.org/0000-0003-1247-6471, Rogers, T.J. orcid.org/0000-0002-3433-3247 and Cross, E.J. (2023) Distributions of fatigue damage from data-driven strain prediction using Gaussian process regression. Structural Health Monitoring. ISSN 1475-9217

Brown, A.J. orcid.org/0000-0002-3290-4560, Gibson, S.J. orcid.org/0000-0002-3228-9983, Hatton, D. et al. (2 more authors) (2019) Whole synthetic pathway engineering of recombinant protein production. Biotechnology and Bioengineering, 116 (2). pp. 375-387. ISSN 0006-3592

Brown, A.J., Gibson, S.J., Hatton, D. et al. (1 more author) (2017) In silico design of context-responsive mammalian promoters with user-defined functionality. Nucleic Acids Research, 45 (18). pp. 10906-10919. ISSN 0305-1048

Book Section

Cross, E.J., Gibson, S.J., Jones, M.R. et al. (3 more authors) (2022) Physics-informed machine learning for structural health monitoring. In: Cury, A., Ribeiro, D., Ubertini, F. and Todd, M.D., (eds.) Structural Health Monitoring Based on Data Science Techniques. Structural Integrity (21). Springer Cham , pp. 347-367. ISBN 9783030817152