Items where Greenwich Author is "Le Houx, James"
Enceladus, fluid inclusions, Natron, astrobiology, correlative X-ray tomography and diffraction, In-situ freezing
Perera, Liam, Le Houx, James ORCID: https://orcid.org/0000-0002-1576-0673, Leonardi, Alberto, Day, Sarah and Thompson, Stephen
(2026)
Fluid inclusions in natron: a window into the interior of Enceladus.
[Working Paper]
(doi:10.21203/rs.3.rs-8406896/v1)
Swiss Nanoscience Institute Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung. Grant Number: Sinergia CRSII5_202296 Rutherford Appleton Laboratory Faraday Institution alloy interlayer, all-solid-state battery, image subtraction method, Li metal, operando XCT, zero-excess lithium anode
Xu, Linfeng, Le Houx, James ORCID: https://orcid.org/0000-0002-1576-0673, Kachkanov, Vyacheslav, Zhang, Jinsong, Norbert Wullich, Robin, Fankhauser, Matthias, Löffel, Kaspar, Schmidt, Thomas J. and El Kazzi, Mario
(2026)
Operando X‐Ray computed tomography reveals the role of interfacial nucleation nanolayers in suppressing mechanical failure in zero‐excess lithium all‐solid‐state batteries.
Small, 22 (10):e12284.
ISSN 1613-6810 (Print), 1613-6829 (Online)
(doi:10.1002/smll.202512284)
XCT, fracture mechanics
Wright, Conor, Ramsdale, Emily, McKay Fletcher, Daniel, Williams, Katherine, Le Houx, James ORCID: https://orcid.org/0000-0002-1576-0673 and Ruiz, Siul
(2026)
Understanding root biomechanics in high-strength environments- assessing the feasibility of penetration and fracture FE models with SRXCT.
In: EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026.
EGU26
(7232).
Copernicus GmbH, Göttingen, Germany.
(doi:10.5194/egusphere-egu26-7232)
autonomous experimentation, large-scale user facilities, AI for science, taxonomy, Operational Design Domains (ODD), sim-to-real transfer
Le Houx, James ORCID: https://orcid.org/0000-0002-1576-0673
(2026)
Benchmarking autonomy in scientific experiments: a hierarchical taxonomy for autonomous large-scale facilities.
[Working Paper]
(doi:10.48550/arXiv.2601.06978)
autonomous experimentation, operando characterisation, battery degradation, scientific AI, physics,. informed machine learning
Lu, Emily, Perez, Gabriel, Baker, Peter, Irving, Daniel, Kumar, Santosh, Celorrio, Veronica, Britto, Sylvia, Headen, Thomas F., Gomez-Gonzalez, Miguel, Wright, Connor, Green, Calum, Young, Robert Scott, Kirichek, Oleg, Mortazavi, Ali, Day, Sarah, Antony, Isabel, Wright, Zoe, Wood, Thomas, Snow, Tim, Thiyagalingam, Jeyan, Quinn, Paul, Jones, Martin Owen, David, William and Le Houx, James ORCID: https://orcid.org/0000-0002-1576-0673
(2026)
Autonomous battery research: principles of heuristic operando experimentation.
[Working Paper]
(doi:10.48550/arxiv.2601.00851)
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