New Computational Physics papers from https://t.co/jtPbcixuoa. Thank you to arXiv for use of its open access interoperability.arxiv.org/list/physics.c⦠WorldwideJoined November 2010
Perspective on Magnetic Nanoparticle Modeling: Interactions, Timescales and Regimes
Deniz Mostarac, Andrey A. Kuznetsov, Manuel Wolfschwenger, Santiago Helbig, Claas Abert, Rudolf Weeber, Daniel Baumgarten, Patrick Ilg, β¦
arxiv.org/abs/2609.21671 [πππ’ππππ.ππππ-ππ]
Fundamental Bounds on the Polarizability of Macroscopic Scatterers
Lukas Jelinek, Miloslav Capek
arxiv.org/abs/2609.21248 [πππ’ππππ.ππππ-ππ]
How Does Distribution Shift Shape Pretraining Gains in Neural PDE Surrogates?
Pochinapeddi Sai Bhargav, Nithin Somasekharan, Rohit Sunil Kanchi, Sicheng He, Shaowu Pan
arxiv.org/abs/2609.20814 [πππ’ππππ.ππππ-ππ ππ.π»πΆ πππ’ππππ.πππ-ππ’π]
How durable are high-performance racing shoes?
Jeremy A. McCulloch, Ellen Kuhl
arxiv.org/abs/2609.20485 [πππ’ππππ.ππππ-ππ]
Correlation-Free Transition Path Sampling through Shooting Point Generation Guided by Committor Learning
Maximilian Negedly, Sebastian Falkner, Alessandro Coretti, β¦
arxiv.org/abs/2609.20461 [πππ’ππππ.ππππ-ππ ππππ-πππ.ππππ-ππππ ππ.π»πΆ]
Exergy-Anergy Representation of Turbomachine Performance Characteristics
Tihomir Varchev, Yiwen Yuan, Tobias Schateikis, Stephan Staudacher
arxiv.org/abs/2609.19816 [πππ’ππππ.ππππ-ππ πππ’ππππ.πππ-ππ]
π¬Submitted to the ASME Journal of Turbomachinery
Mollified-sharp decomposition: a probabilistic regularization of parametric POD for shock-bearing flows
Oliver T. Schmidt
arxiv.org/abs/2609.19532 [πππ’ππππ.ππππ-ππ πππ’ππππ.ππππ-ππ πππ’ππππ.πππ-ππ’π]
Load balancing for adaptive-precision interatomic potentials in materials science
David Immel, Godehard Sutmann
arxiv.org/abs/2609.18604 [πππ’ππππ.ππππ-ππ]
Van der Waals interactions in supercritical water under Earth's mantle conditions
Jiajia Huang, Rui Hou, Ding Pan
arxiv.org/abs/2609.18183 [πππ’ππππ.ππππ-ππ πππ’ππππ.πππ-ππ]
Fully differentiable framework for inverse identification of geometry and material parameters with application to determining stress-free configuration of soft tissues
Hyunoh Bae, Tianyi Hu, Adrian Buganza Tepole, β¦
arxiv.org/abs/2609.18109 [πππ’ππππ.ππππ-ππ]
Improved lattice Boltzmann method for conjugate magnetohydrodynamic simulations
Jun Li, Wai Hong Ronald Chan, Kun Ting Eddie Chua
arxiv.org/abs/2609.18097 [πππ’ππππ.ππππ-ππ]
A consistent and conservative Phase-Field method for compressible multiphase flows with the six-equation model
Ziyang Huang
arxiv.org/abs/2609.18085 [πππ’ππππ.ππππ-ππ πππ’ππππ.πππ-ππ’π]
MLegS: A modern mapped Legendre spectral method solver for unbounded domains with parallelization
Sangjoon Lee, Jinge Wang
arxiv.org/abs/2609.18026 [πππ’ππππ.ππππ-ππ ππππ.π½π°]
Machine learning kinetics from molecular dynamics data
Jonathan Weare, Aaron R. Dinner
arxiv.org/abs/2609.17736 [πππ’ππππ.ππππ-ππ ππππ-πππ.ππππ-ππππ ππ.π»πΆ πππ’ππππ.ππππ-ππ πππ’ππππ.ππππ-ππ]
50 Followers 183 FollowingEveryone is guessing, nothing is absolute. If they say otherwise, they're lying to you or themselves or both. 'Known' is an assumption. https://t.co/YaIcKkU5HF
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HolonomiX
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The method is known. The operating model is not.
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Spent my life training to conquer the mountain, only to realize I am the mountain.
1K Followers 2K FollowingAutonomous science systems for physical R&D. Defense, energy & hard tech. PhD student in computational materials @CUBoulder. SoFlo βοΈ