Copertina

An experimentally validated end-to-end framework for operando modeling of intrinsically complex metallosilicates

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jung, Jong Hyun, Schächtel, Tom, Ou, Yongliang, Itzigehl, Selina, Högler, Marc, Hansen, Niels, Bruckner, Johanna R., Grabowski, Blazej
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Materials Science
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Machine-learning interatomic potentials achieving CCSD(T) accuracy for systems with extended covalent networks and van der Waals interactions
di: Ikeda, Yuji, et al.
Pubblicazione: (2025)

A collapsed interface approach to resolve grain boundaries in finite element simulations of polycrystalline diffusion
di: Scholz, Lena, et al.
Pubblicazione: (2025)

Free-energy perturbation in the exchange-correlation space accelerated by machine learning: Application to silica polymorphs
di: Forslund, Axel, et al.
Pubblicazione: (2025)

Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li$_6$PS$_5$Cl using machine-learning interatomic potentials
di: Ou, Yongliang, et al.
Pubblicazione: (2024)

Carbox: an end-to-end differentiable astrochemical simulation framework
di: Vermariën, Gijs, et al.
Pubblicazione: (2025)

Influence of Ionic Liquid Film Thickness and Flow Rate on Macrocyclization Efficiency and Selectivity in Supported Ionic Liquid‐Liquid Phase Catalysis
di: Marc Högler, et al.
Pubblicazione: (2024)

Self-Satisfied: An end-to-end framework for SAT generation and prediction
di: Serrano, Christopher R., et al.
Pubblicazione: (2024)

Quantum algorithms: A survey of applications and end-to-end complexities
di: Dalzell, Alexander M., et al.
Pubblicazione: (2023)

A solver-in-the-loop framework for end-to-end differentiable coastal hydrodynamics
di: Cardoso-Bihlo, Elsa, et al.
Pubblicazione: (2026)

Machine learning to explore high-entropy alloys with desired enthalpy for room-temperature hydrogen storage: Prediction of density functional theory and experimental data
di: Dangwal, Shivam, et al.
Pubblicazione: (2024)

Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine
di: Joseph, Sebastian, et al.
Pubblicazione: (2025)

StarWhisper Telescope: An AI framework for automating end-to-end astronomical observations
di: Wang, Cunshi, et al.
Pubblicazione: (2024)

ProMoTA: a model-driven framework for end-to-end traceability analysis
di: Mustafiz, Sadaf, et al.
Pubblicazione: (2026)

HEP ML Lab: An end-to-end framework for applying machine learning into phenomenology studies
di: Li, Jing, et al.
Pubblicazione: (2024)

Accurate complex-stacking-fault Gibbs energy in Ni3Al at high temperatures
di: Xu, Xiang, et al.
Pubblicazione: (2025)

Dynamic framework for edge-connectivity maintenance of simple graphs
di: Wrobel, Blazej
Pubblicazione: (2026)

xML-workFlow: an end-to-end explainable scikit-learn workflow for rapid biomedical experimentation
di: Tran, Khoa A., et al.
Pubblicazione: (2025)

Aardvark weather: end-to-end data-driven weather forecasting
di: Vaughan, Anna, et al.
Pubblicazione: (2024)

An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology
di: Zappon, Elena, et al.
Pubblicazione: (2025)

RLCNet: An end-to-end deep learning framework for simultaneous online calibration of LiDAR, RADAR, and Camera
di: Cholakkal, Hafeez Husain, et al.
Pubblicazione: (2025)

Grain-size distributions and end-member modeling of the Baimasi section from the Eocene Xining Basin, China
di: Meijer, Niels
Pubblicazione: (2020)

Grain-size distributions and end-member modeling of the Xiejia section from the Eocene Xining Basin, China
di: Meijer, Niels
Pubblicazione: (2020)

Grain-size distributions and end-member modeling of the Caijia section from the Eocene Xining Basin, China
di: Meijer, Niels
Pubblicazione: (2020)

Grain-size distributions and end-member modeling of the Tiefo section from the Eocene Xining Basin, China
di: Meijer, Niels
Pubblicazione: (2020)

Connected components and topological ends of stationary planar forests
di: Garcia-Sanchez, Tom
Pubblicazione: (2026)

The end of cost allocations as we know them
di: Marc Hodak
Pubblicazione: (2025)

Measurement of the intrinsic sensitivity for a single-ended accelerometer without the influence of the mounting condition
di: Shimoda, Tomofumi, et al.
Pubblicazione: (2025)

Grain-size distributions and end-member modeling of the Shuiwan Oligocene section from the Eocene Xining Basin, China
di: Meijer, Niels
Pubblicazione: (2020)

Chapter ‘Oude drucken … welcke alle … ghesien ende gehanteert zijn’’
di: De Jong, Klaas-Willem
Pubblicazione: (2022)

OC05.01: *Prospective validation of an end‐to‐end machine learning‐based model for the classification of adnexal masses using ultrasonography
di: J. Barcroft, et al.
Pubblicazione: (2024)

Towards end-to-end ASP computation
di: Sato, Taisuke, et al.
Pubblicazione: (2023)

Ab initio machine-learning unveils strong anharmonicity in non-Arrhenius self-diffusion of tungsten
di: Zhang, Xi, et al.
Pubblicazione: (2023)

Materealize: a multi-agent deliberation system for end-to-end material design and synthesis
di: Kim, Seongmin, et al.
Pubblicazione: (2026)

Hatcher-Thurston complex for surfaces with non-planar ends
di: Somvanshi, Manvendra
Pubblicazione: (2026)

PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studies
di: Ounissi, Mehdi, et al.
Pubblicazione: (2023)

An artificial intelligence framework for end-to-end rare disease phenotyping from clinical notes using large language models
di: Shyr, Cathy, et al.
Pubblicazione: (2026)

The end?
Pubblicazione: (1999)

Shipping route end to end data analysis
di: Sarkar, Abhi
Pubblicazione: (2026)

Edge-ends versus topological ends of graphs
di: Aurichi, Leandro, et al.
Pubblicazione: (2026)

Topological remarks on end and edge-end spaces
di: Aurichi, Leandro Fiorini, et al.
Pubblicazione: (2024)