948 citations
- Hamburg University of TechnologyDE31 papers
- Universität HamburgDE30 papers
- Technical University of MunichDE13 papers
- Petersburg Nuclear Physics InstituteRU8 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Heinz Maier-Leibnitz ZentrumDE7 papers
- Helmut Schmidt UniversityDE7 papers
- Paul Scherrer InstituteCH7 papers
- Deutsches Elektronen-Synchrotron DESYDE6 papers
- St Petersburg UniversityRU6 papers
- Hochschule für Angewandte Wissenschaften KielDE5 papers
- Kurchatov InstituteRU5 papers
121 papers
OxyPOM: a biogeochemical model for Oxygen and Particulate Organic Matter dynamics with detailed temperature sensitivity
Ovidio García-Oliva, Carsten Lemmen
Periods of low dissolved oxygen concentration -- hypoxia and anoxia -- threaten the health of aquatic ecosystems and the services they provide.Hypoxia is strongly influenced by tem…
Artificial Intelligence in Materials Science and Engineering: Current Landscape, Key Challenges, and Future Trajectorie
Iman Peivaste, Salim Belouettar, Francesco Mercuri +15
Artificial Intelligence is rapidly transforming materials science and engineering, offering powerful tools to navigate complexity, accelerate discovery, and optimize material desig…
Enhancing the quality of gauge images captured in smoke and haze scenes through deep learning
Oscar H. Ramírez-Agudelo, Akshay N. Shewatkar, Edoardo Milana +2
Images captured in hazy and smoky environments suffer from reduced visibility, posing a challenge when monitoring infrastructures and hindering emergency services during critical s…
Rate Equation for the Transfer of Interstitials across Interfaces between Equilibrated Crystals
Jörg Weissmüller
This work inspects the thermally activated transfer of solute particles across the interface between two interstitial solid solution phases that equilibrate internally by fast diff…
GENIUS: An Agentic AI Framework for Autonomous Design and Execution of Simulation Protocols
Mohammad Soleymanibrojeni, Roland Aydin, Diego Guedes-Sobrinho +4
Predictive atomistic simulations have propelled materials discovery, yet routine setup and debugging still demand computer specialists. This know-how gap limits Integrated Computat…
Teaching a Transformer to Think Like a Chemist: Predicting Nanocluster Stability
João Marcos T. Palheta, Octavio Rodrigues Filho, Mohammad Soleymanibrojeni +6
Atomically precise metal nanoclusters bridge the molecular and bulk regimes, but designing bimetallic motifs with targeted stability and reactivity remains challenging. Here we com…