Thermomechanical residual stress modeling of rotor shaft grade steel for power generation turbines
Khadke, V Singh, R Patil, A Yadav, M Lomate, D Hiwarkar, V Kaka, F Modelling and Simulation in Materials Science and Engineering volume 34 issue 2 025008-025008 (13 Mar 2026)

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Quantitative Systems Pharmacology Models of Anti-Amyloid Treatments for Alzheimer's Disease: A Systematic Review.
Herriott, L Coles, M Fournier, N Gaffney, E Wagg, J CPT: pharmacometrics & systems pharmacology volume 15 issue 3 e70223 (Mar 2026)
Mountain pass for the Ginzburg-Landau energy in a strip: solitons and solitonic vortices
Nguyen, L Aftalion, A Journal of Differential Equations
Adaptive tuning of Hamiltonian Monte Carlo methods
Akhmatskaya, E Nagar, L Carrillo de la Plata, J Gavira Balmacz, L Inouzhe, H Parga Pazos, M Rodríguez Álvarez, M Applied Mathematical Modelling (08 Mar 2026)
Thu, 12 Mar 2026
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Some remarks on definable complex analysis

Alex Wilkie
(Oxford University)
Abstract
Peterzil and Starchenko began this by developing the basics of complex analysis (Cauchy’s theorem, Taylor series, residues…) within an arbitrary o-minimal expansion of a real closed field. I look at more advanced topics from such a definable viewpoint (eg the Riemann Mapping Theorem) although to make any progress I have to restrict myself to (o-minimal) expansions of the real field itself. I am, of course, motivated by Zilber’s quasiminimality conjecture.
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Partial differential equations (PDEs), often regarded as the language of physics and engineering, encode how quantities such as velocity, temperature, pressure, or concentration evolve in space and time. PDEs provide the mathematical framework through which we model the real world. Yet, even when the governing equations are known, predicting their behaviour can be challenging. Konstantin Riedl investigates.
Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks
Nartallo-Kaluarachchi, R Lambiotte, R Goriely, A (16 Feb 2026)
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