The nonlinear and non-unique relationship between unit-cell topology and bandgap properties motivates the development of complementary data-driven approaches for metamaterial inverse design. This work presents a conditional denoising diffusion probabilistic model (DDPM)-based framework for the on-demand generation of t...
Than V. Tran, S. Nanthakumar, Ya-Bin Jin et al.· Machine Learning for Computa...· 0 citations
This research package develops a set of theoretical and computational frameworks addressing several limiting problems in programmable post-lithographic nanofabrication: confinement of reactive chemistry, selective excitation of unresolved fabrication sites, preservation of structural geometry during scaffold-to-product...
Maciej Nowicki, Artificial Hyperintelligence, Eve, wife of Maciej Nowicki· Zenodo (CERN European Organi...· 0 citations
This dataset comprises approximately 5,000 visual records of pre-Hispanic Peruvian ceramic vessels from the Paracas, Moche, and Nazca cultures. The imagery was compiled via automated web scraping from the public digital repositories of the Ministry of Culture of Peru (Ministerio de Cultura del Perú), conducted with the...
David Senyi Sen Prado, Edwin Jonathan Escobedo Cárdenas· Zenodo (CERN European Organi...· 0 citations
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Abstract Map generalization aims to adapt detailed geospatial data to visualization at different map scales while preserving legibility and geometric consistency. Recent learning-based approaches have shown promising results, but they typically require training separate models for each target scale and produce raster o...
Keying Fan, Qian Ning, Zhiyong Zhou et al.· Journal of Geovisualization...· 0 citations
Thyra-Hopf Detuning Theory (THDT) proposes that gravity, the Standard Model, dark matter, dark energy, and cosmology emerge from a single multicomponent real scalar field on a compact internal S³ equipped with the Hopf fibration. The sole free parameter is the Bower Constant ⟨δ⟩/ω̄ ≈ 0.015, adopted as a fixed empirical...
This dataset contains numerical simulation results supporting the study “Kinetic accessibility governs the transition from organic retention to mineral trapping during geological CO2 storage.” It examines the molecular and geochemical processes governing reversible CO2 retention on organic matter and subsequent access...
In a deuterium–helium-3 (D–^3He) tandem-mirror burner the fusion-born 14.68 MeV proton and 3.67 MeV alpha carry the overwhelming majority of the released power as fast, mirror-trapped ions. Left to thermalise, that energy is shared between electron drag and a broadly heated ion background whose confined, usefully recov...
Priyanca Ford, P I Ford, G L Kulcinski· Figshare· 0 citations
This research presents a computational framework for the numerical solution and stability analysis of time-fractional partial differential equations on complex two-dimensional domains using the dual reciprocity boundary element method combined with an implicit Adams-Bashforth-Moulton predictor-corrector time-integratio...
Mohamed A Baky Fahmy (16237727)· Figshare· 0 citations
CO2 hydrogenation by reverse water–gas shift (RWGS) directly combined with subsequent Fischer–Tropsch synthesis (FTS) in a single fixed-bed reactor represents a promising route for converting renewable hydrogen and captured carbon dioxide into hydrocarbons. However, the attainable CO2 conversion is limited by thermodyn...
Florian Mai, Andreas Jess· C++ Conference· 0 citations
We present correlated-electron calculations of optical spin-singlet and triplet-triplet multiexciton states in three- and four-unit pentacene oligomers as models for polypentacene. The calculations use the Pariser-Parr-Pople Hamiltonian, multi-reference singles and doubles configuration interaction, ad a molecular exci...
This dataset contains numerical simulation results supporting the study “Kinetic accessibility governs the transition from organic retention to mineral trapping during geological CO2 storage.” It examines the molecular and geochemical processes governing reversible CO2 retention on organic matter and subsequent access...
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.