Clay weekly context brief for the Condensed Matter category (ISO week 2026-W46).

Clay tracks publications from the Condensed Matter feed list. Below are recent items from this category, each with its source and a short description of what the publication covers when one is available in the source feed.

Recent publications:
1. Effective increase of a superconducting critical temperature due to a configurational entropy of impurities
   Source: cond-mat.supr-con (Superconductivity)
   Link: https://arxiv.org/abs/2605.15834
   We show theoretically that a superconducting critical temperature can be effectively increased in a fine-grained superconductor, where impurities migrate along the grain boundaries.
2. Universal Pareto fronts and trade-off relations in multi-objective optimization of thermal machines
   Source: cond-mat.stat-mech (Statistical Mechanics)
   Link: https://arxiv.org/abs/2603.19885
   The performance of thermal machines is characterized with several, often competing quantities, such as power, efficiency, energy waste, and resilience to environmental noise.
3. The effect of limb kinematics on the speed of a legged robot on granular media
   Source: cond-mat.soft (Soft Condensed Matter)
   Link: https://arxiv.org/abs/1303.7276
   Achieving effective locomotion on diverse terrestrial substrates can require subtle changes of limb kinematics.
4. Quantum error mitigation from information dynamics
   Source: cond-mat.other (Other Condensed Matter)
   Link: https://arxiv.org/abs/2609.31934
   Overcoming experimental errors is a central challenge in quantum science.
5. High-Volume Wurtzite MnSe in MnSe/CdSe Superlattices: Structure, Magnetism and Optical Response
   Source: cond-mat.mtrl-sci (Materials Science)
   Link: https://arxiv.org/abs/2611.09509
   Polymorphism in Mn-based chalcogenides offers access to magnetic semiconductors with distinct crystal symmetries, polar structures, and different magnetic orders.
6. Propagating the Hierarchical Equations of Motion using the Multi-Layer Multi-Configurational Time-Dependent Hartree method
   Source: cond-mat.mes-hall (Mesoscale and Nanoscale Physics)
   Link: https://arxiv.org/abs/2611.09637
   The hierarchical equations of motion (HEOM) are a powerful, numerically exact approach for simulating the time evolution of open quantum systems.
7. Time evolution in the multi-component dynamical Keldysh models
   Source: cond-mat.dis-nn (Disordered Systems and Neural Networks)
   Link: https://arxiv.org/abs/2610.38338
   We construct a time evolution operator for a dynamical quantum models with a multi-component random Gaussian field characterized by a long correlation time.
8. Inverse design of superconductors and semiconductors with differentiable foundation models
   Source: cond-mat.supr-con (Superconductivity)
   Link: https://arxiv.org/abs/2611.09572
   Designing a crystal for a target property requires choosing its elements, stoichiometry, and atomic structure together, yet gradients exist only for the continuous structural variables.
9. On deforming and breaking integrability
   Source: cond-mat.stat-mech (Statistical Mechanics)
   Link: https://arxiv.org/abs/2603.17018
   In this paper we study nearest-neighbour deformations of integrable models.
10. Liquid-liquid phase transitions in dipolar liquids. Insights into Supercooled Water
   Source: cond-mat.soft (Soft Condensed Matter)
   Link: https://arxiv.org/abs/2609.02666
   Dipolar liquids combine two coupled degrees of freedom, translational and dipolar.
11. Interplay of Ni Order and Local Moments in Intercalated NixNbS2
   Source: cond-mat.mtrl-sci (Materials Science)
   Link: https://arxiv.org/abs/2611.09494
   Magnetic ions intercalated into the van der Waals gaps of layered transition metal dichalcogenides provide a system where local moments interact strongly with a metallic host.
12. A Monte Carlo study of thermal conductivity in black phosphorene
   Source: cond-mat.mes-hall (Mesoscale and Nanoscale Physics)
   Link: https://arxiv.org/abs/2611.09149
   In this work the electronic thermal conductivity of black phosphorene is studied.
13. Predicting accurate solid-state thermodynamics is easier than you think
   Source: cond-mat.dis-nn (Disordered Systems and Neural Networks)
   Link: https://arxiv.org/abs/2604.25756
   Materials underpin modern technologies, from energy harvesting, storage, and conversion to information and communication technologies.
14. Energy- and momentum-resolved Cooper-pair emission from a cuprate superconductor
   Source: cond-mat.supr-con (Superconductivity)
   Link: https://arxiv.org/abs/2611.09857
   Superconductivity arises from Cooper pairing, but conventional photoemission probes electrons individually rather than as pairs.
15. Gibbsian Entropy for General Wigner Distributions
   Source: cond-mat.stat-mech (Statistical Mechanics)
   Link: https://arxiv.org/abs/2611.09839
   We propose a definition of non-equilibrium Gibbsian entropy applicable to general quantum systems, computable from Wigner functions, for both Gaussian and non-Gaussian states.
16. A numerical study to analyze the interplay of Weissenberg number and viscosity ratio in a log-strain tensorial model for viscoelastic fluids
   Source: cond-mat.soft (Soft Condensed Matter)
   Link: https://arxiv.org/abs/2608.01925
   We present a computational study aimed at exploring the different and independent roles of the Weissenberg number and of the ratio between the polymeric and solvent viscosity contributions in a viscoelastic fluid model.
17. Stacking, symmetry and exciton fine structure in boron nitride bilayers
   Source: cond-mat.mtrl-sci (Materials Science)
   Link: https://arxiv.org/abs/2611.09473
   Engineering of two-dimensional material heterostructures offers a broad range of degrees of freedom through the selection of type and number of layers and their relative stacking configurations.
18. Spontaneous Formation of Lateral Defect-Density Gradient in CVD-Grown MoS2 Monolayers
   Source: cond-mat.mes-hall (Mesoscale and Nanoscale Physics)
   Link: https://arxiv.org/abs/2611.09103
   Defect engineering in two-dimensional materials is a powerful strategy for tuning electronic, optical, and catalytic properties.
19. Distinct mechanisms underlying in-context learning in transformers
   Source: cond-mat.dis-nn (Disordered Systems and Neural Networks)
   Link: https://arxiv.org/abs/2604.12151
   Modern distributed networks, notably transformers, acquire a remarkable ability (termed `in-context learning') to adapt their computation to input statistics, such that a fixed network can be applied to data from a broad range of systems.

Sources in this brief: cond-mat.dis-nn (Disordered Systems and Neural Networks); cond-mat.mes-hall (Mesoscale and Nanoscale Physics); cond-mat.mtrl-sci (Materials Science); cond-mat.other (Other Condensed Matter); cond-mat.soft (Soft Condensed Matter); cond-mat.stat-mech (Statistical Mechanics); cond-mat.supr-con (Superconductivity).
Selected 19 of 86 available items for this weekly brief.