Biologically inspired reaction-diffusion (Turing) equations can serve as a decentralised tool to create varying spatial patterns across robots in a swarm. The ability to systematically engineer such patterns is the basis of morphodynamic engineering in robot swarms and enables applications in spatial role allocation, w...
Clementine Fry, Stuart Thomson, Sabine Hauert· Proceedings of the 14th ACM...· 0 citations
Introduction Understanding whether tourism development fosters or hinders green productivity growth remains a pivotal question in sustainable tourism research. Drawing on Butler's Tourism Area Life Cycle (TALC) theory and the destination evolution literature, this study examines the nonlinear relationship between touri...
Wei Wang, Haiyang Wang, Yanxi Kuang et al.· Frontiers in Sustainable Tou...· 0 citations
We consider the problem of the long-term preservation of differences between two adjoining water masses in a stratified rotating fluid. Absolute non-mixing is impossible in a real oceanic environment owing to molecular and turbulent diffusion, front deformation, internal waves, and local hydrodynamic instabilities. We...
Milyute E., Milyus A.· Zenodo (CERN European Organi...· 0 citations
This manuscript presents the theory and experimental validation of low- and medium-temperature deicing technology that advances the recently developed Ice Cavitation Deicing (ICD) method. Conventional high-temperature ICD (HTICD) efficiently removes ice by explosively vaporizing a thin interfacial melted layer but oper...
Victor F. Petrenko· Aerospace· 0 citations
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Molecular transport of low-volatility organic vapors through unsaturated porous media is governed by the coupled effects of diffusion, sorption, and pore structure, yet the relative roles of these processes remain insufficiently quantified. In this work, we develop a physics-based model describing vapor migration from...
O. B. Kudryashova, В. М. Грузнов, Andrey Kikhtenko et al.· Molecules· 0 citations
Machine-learning interatomic potential (MLIP)--based molecular dynamics enables efficient exploration of mass-transport mechanisms in complex materials together with quantitative determination of diffusion coefficients at finite temperatures. Using an identical training dataset, we develop and assess three MLIPs formal...
David Holec, Thomas Rocke, James Kermode et al.· AIP Publishing· 0 citations
It is argued that the central issue is not whether students use AI, but how responsibility for thinking and decision-making is distributed between students and AI, and proposes a conceptual model in which the depth of AI involvement interacts with learner agency to shape learning outcomes.
Zi-Hui Jiang, Zhao-Hua Ke· Journal of Linguistics &...· 0 citations
Companion data and code for "Scheduled Momentum Diffusion Improves Hydraulic Shock Fidelity in Strong-Form Shallow-Water Physics-Informed Neural Networks" by Huicong An and Chaojun Ouyang. The package includes 102 formal shallow-water PINN experiments covering nine dam-break depth ratios (2:1 to 10:1), diffusion ablati...
E-commerce personalization has largely optimized which item to recommend while leaving how the item is presented - image, copy, video, and narrative framing - comparatively static. This paper presents an end-to-end agentic system for multimodal advertising creative personalization. The system maps a customer-product pa...
Hanuma Ramesh Chadalavada· Zenodo (CERN European Organi...· 0 citations
The premature deterioration of reinforced-concrete structures exposed to chloride and organic salts is a coupled physicochemical, electrochemical, transport, and mechanical phenomenon. Chloride ionspenetrate concrete through diffusion, capillary suction, convection, and electromigration. Organic salts, such as acetates...
Khaled Aldhufri· Zenodo (CERN European Organi...· 0 citations
The model optimizes microfluidic and lab-on-a-chip systems by predicting gyrotactic microbe-driven mixing and transport in the presence of linked thermal and concentration gradients. It aids in the design and operation of bioreactors and wastewater treatment units by simulating microbe dispersal, nutrient transport, an...
Humaira Kanwal, Shouki A. Ebad, Fuad Alsarari et al.· Discover Nano· 0 citations
This paper develops a stochastic susceptible–infected–hesitating–removed (SIHR) rumor model with Hill-type saturated incidence and compartment-specific Brownian perturbations. The model focuses on when environmental noise changes a rumor’s deterministic fate and how long-run behavior is organized as an invariant law ra...
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
