From 64ea7ea0a564724f030e277a29a545ecf89ea75d Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" <github-actions[bot]@users.noreply.github.com>
Date: Wed, 14 Jan 2026 06:34:01 +0000
Subject: [PATCH] Auto-update RSS feed

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 <?xml version="1.0" encoding="UTF-8"?>
-<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>My Customized Papers</title><link>https://github.com/your_username/your_repo</link><description>Aggregated research papers</description><language>en-US</language><lastBuildDate>Wed, 14 Jan 2026 01:47:07 GMT</lastBuildDate><generator>rfeed v1.1.1</generator><docs>https://github.com/svpino/rfeed/blob/master/README.md</docs><item><title>[ScienceDirect Publication: Journal of Energy Storage] Comparative LCA of energy and environmental impacts in sulfide-based all-solid-state battery manufacturing: Wet vs. dry processes</title><link>https://www.sciencedirect.com/science/article/pii/S2352152X26000708?dgcid=rss_sd_all</link><description>&lt;p&gt;Publication date: 10 March 2026&lt;/p&gt;&lt;p&gt;&lt;b&gt;Source:&lt;/b&gt; Journal of Energy Storage, Volume 150&lt;/p&gt;&lt;p&gt;Author(s): Jiachen Xu, Tao Feng, Wei Guo, Jun Wu, Liurong Shi, Lin Hua, Ziwei Wang&lt;/p&gt;</description><author>ScienceDirect Publication: Journal of Energy Storage</author><pubDate>Tue, 13 Jan 2026 18:30:44 GMT</pubDate><guid isPermaLink="true">https://www.sciencedirect.com/science/article/pii/S2352152X26000708</guid></item><item><title>[ScienceDirect Publication: Journal of Energy Storage] Multiscale modeling for all-solid-state batteries: An investigation on electro-chemo-thermo-mechanical degradation</title><link>https://www.sciencedirect.com/science/article/pii/S2352152X25050091?dgcid=rss_sd_all</link><description>&lt;p&gt;Publication date: 10 March 2026&lt;/p&gt;&lt;p&gt;&lt;b&gt;Source:&lt;/b&gt; Journal of Energy Storage, Volume 150&lt;/p&gt;&lt;p&gt;Author(s): Kejie Wang, Zhipeng Chen, Fenghui Wang, Xiang Zhao&lt;/p&gt;</description><author>ScienceDirect Publication: Journal of Energy Storage</author><pubDate>Tue, 13 Jan 2026 18:30:44 GMT</pubDate><guid isPermaLink="true">https://www.sciencedirect.com/science/article/pii/S2352152X25050091</guid></item><item><title>[ScienceDirect Publication: Journal of Energy Storage] Self-assembled non-flammable poly(arylene ether sulfone)-grafted poly(ethylene glycol) solid electrolyte with improved lithium-ion transport for lithium–sulfur batteries</title><link>https://www.sciencedirect.com/science/article/pii/S2352152X25050492?dgcid=rss_sd_all</link><description>&lt;p&gt;Publication date: 10 March 2026&lt;/p&gt;&lt;p&gt;&lt;b&gt;Source:&lt;/b&gt; Journal of Energy Storage, Volume 150&lt;/p&gt;&lt;p&gt;Author(s): Anh Le Mong, Thi Cam Thach To, Thuy An Trinh, Dukjoon Kim&lt;/p&gt;</description><author>ScienceDirect Publication: Journal of Energy Storage</author><pubDate>Tue, 13 Jan 2026 18:30:44 GMT</pubDate><guid isPermaLink="true">https://www.sciencedirect.com/science/article/pii/S2352152X25050492</guid></item><item><title>[ScienceDirect Publication: Journal of Energy Storage] Solution-processed poly(vinylidene difluoride)-cellulose acetate/Na&lt;sub&gt;1+x&lt;/sub&gt;Al&lt;sub&gt;x&lt;/sub&gt;Ti&lt;sub&gt;2-x&lt;/sub&gt;(PO&lt;sub&gt;4&lt;/sub&gt;)&lt;sub&gt;3&lt;/sub&gt; composite quasi-solid electrolyte for safe and high-performance quasi-solid-state sodium-ion batteries</title><link>https://www.sciencedirect.com/science/article/pii/S2352152X26000757?dgcid=rss_sd_all</link><description>&lt;p&gt;Publication date: 10 March 2026&lt;/p&gt;&lt;p&gt;&lt;b&gt;Source:&lt;/b&gt; Journal of Energy Storage, Volume 150&lt;/p&gt;&lt;p&gt;Author(s): Yi-Hung Liu, Pei-Xuan Chen, Yen-Shen Kuo, Yi-Yu Chiang, Meng-Lun Lee, Torng Jinn Lee&lt;/p&gt;</description><author>ScienceDirect Publication: Journal of Energy Storage</author><pubDate>Tue, 13 Jan 2026 18:30:44 GMT</pubDate><guid isPermaLink="true">https://www.sciencedirect.com/science/article/pii/S2352152X26000757</guid></item><item><title>[ScienceDirect Publication: Journal of Energy Storage] Computational insights into the superionic behavior of amorphous lithium oxyhalide 1.6Li&lt;sub&gt;2&lt;/sub&gt;O-TaCl&lt;sub&gt;5&lt;/sub&gt; solid electrolyte</title><link>https://www.sciencedirect.com/science/article/pii/S2352152X25050455?dgcid=rss_sd_all</link><description>&lt;p&gt;Publication date: 10 March 2026&lt;/p&gt;&lt;p&gt;&lt;b&gt;Source:&lt;/b&gt; Journal of Energy Storage, Volume 150&lt;/p&gt;&lt;p&gt;Author(s): Adil Saleem, Junquan Ou, Leon L. Shaw, Bushra Jabar, Mehwish Khalid Butt&lt;/p&gt;</description><author>ScienceDirect Publication: Journal of Energy Storage</author><pubDate>Tue, 13 Jan 2026 18:30:44 GMT</pubDate><guid isPermaLink="true">https://www.sciencedirect.com/science/article/pii/S2352152X25050455</guid></item><item><title>[ScienceDirect Publication: Journal of Energy Storage] Enhancement of ion transport in Li&lt;sub&gt;3&lt;/sub&gt;InCl&lt;sub&gt;6&lt;/sub&gt; solid electrolyte by in-rich strategy</title><link>https://www.sciencedirect.com/science/article/pii/S2352152X26000770?dgcid=rss_sd_all</link><description>&lt;p&gt;Publication date: 10 March 2026&lt;/p&gt;&lt;p&gt;&lt;b&gt;Source:&lt;/b&gt; Journal of Energy Storage, Volume 150&lt;/p&gt;&lt;p&gt;Author(s): Bo Li, Lei Xian, Fu-Jie Zhao, Zu-Tao Pan, Ling-Bin Kong&lt;/p&gt;</description><author>ScienceDirect Publication: Journal of Energy Storage</author><pubDate>Tue, 13 Jan 2026 18:30:44 GMT</pubDate><guid isPermaLink="true">https://www.sciencedirect.com/science/article/pii/S2352152X26000770</guid></item><item><title>[The Journal of Physical Chemistry Letters: Latest Articles (ACS Publications)] [ASAP] Anharmonicity-Driven Modulation of Carrier Lifetime and Mobility in BF4-Doped All-Inorganic CsPbX3 (X = I, Br) Perovskites</title><link>http://dx.doi.org/10.1021/acs.jpclett.5c03817</link><description>&lt;p&gt;&lt;img alt="TOC Graphic" src="https://pubs.acs.org/cms/10.1021/acs.jpclett.5c03817/asset/images/medium/jz5c03817_0006.gif" /&gt;&lt;/p&gt;&lt;div&gt;&lt;cite&gt;The Journal of Physical Chemistry Letters&lt;/cite&gt;&lt;/div&gt;&lt;div&gt;DOI: 10.1021/acs.jpclett.5c03817&lt;/div&gt;</description><author>The Journal of Physical Chemistry Letters: Latest Articles (ACS Publications)</author><pubDate>Tue, 13 Jan 2026 13:12:44 GMT</pubDate><guid isPermaLink="true">http://dx.doi.org/10.1021/acs.jpclett.5c03817</guid></item><item><title>[Wiley: Advanced Science: Table of Contents] Machine Learning Driven Window Blinds Inspired Porous Carbon‐Based Flake for Ultra‐Broadband Electromagnetic Wave Absorption</title><link>https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.202521130?af=R</link><description>Advanced Science, EarlyView.</description><author>Wiley: Advanced Science: Table of Contents</author><pubDate>Tue, 13 Jan 2026 08:11:16 GMT</pubDate><guid isPermaLink="true">10.1002/advs.202521130</guid></item><item><title>[Wiley: Advanced Functional Materials: Table of Contents] Toward Robust Ionic Conductivity Determination of Sulfide‐Based Solid Electrolytes for Solid‐State Batteries</title><link>https://advanced.onlinelibrary.wiley.com/doi/10.1002/adfm.202509479?af=R</link><description>Advanced Functional Materials, Volume 36, Issue 4, 12 January 2026.</description><author>Wiley: Advanced Functional Materials: Table of Contents</author><pubDate>Tue, 13 Jan 2026 07:18:05 GMT</pubDate><guid isPermaLink="true">10.1002/adfm.202509479</guid></item><item><title>[cond-mat updates on arXiv.org] Mechanisms of alkali ionic transport in amorphous oxyhalides solid state conductors</title><link>https://arxiv.org/abs/2601.06384</link><description>arXiv:2601.06384v1 Announce Type: new 
+<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>My Customized Papers</title><link>https://github.com/your_username/your_repo</link><description>Aggregated research papers</description><language>en-US</language><lastBuildDate>Wed, 14 Jan 2026 06:34:01 GMT</lastBuildDate><generator>rfeed v1.1.1</generator><docs>https://github.com/svpino/rfeed/blob/master/README.md</docs><item><title>[cond-mat updates on arXiv.org] Chiral Two-Body Bound States from Berry Curvature and Chiral Superconductivity</title><link>https://arxiv.org/abs/2601.08055</link><description>arXiv:2601.08055v1 Announce Type: new 
+Abstract: Motivated by the discovery of exotic superconductivity in rhombohedral graphene, we study the two-body problem in electronic bands endowed with Berry curvature and show that it supports chiral, non-$s$-wave bound states with nonzero angular momentum. In the presence of a Fermi sea, these interactions give rise to a chiral pairing problem featuring multiple superconducting phases that break time-reversal symmetry. These phases form a cascade of chiral topological states with different angular momenta, where the order-parameter phase winds by $2\pi m$ around the Fermi surface, with $m = 1,3,5,\ldots$, and the succession of phases is governed by the Berry-curvature flux through the Fermi surface area, $\Phi = b k_F^2/2$. As $\Phi$ increases, the system undergoes a sequence of first-order phase transitions between distinct chiral phases, occurring whenever $\Phi$ crosses integer values. This realizes a quantum-geometry analog of the Little--Parks effect -- oscillations in $T_c$ that provide a clear and experimentally accessible hallmark of chiral superconducting order.</description><author>cond-mat updates on arXiv.org</author><pubDate>Wed, 14 Jan 2026 05:00:00 GMT</pubDate><guid isPermaLink="true">oai:arXiv.org:2601.08055v1</guid></item><item><title>[cond-mat updates on arXiv.org] Symmetry-aware Conditional Generation of Crystal Structures Using Diffusion Models</title><link>https://arxiv.org/abs/2601.08115</link><description>arXiv:2601.08115v1 Announce Type: new 
+Abstract: The application of generative models in crystal structure prediction (CSP) has gained significant attention. Conditional generation--particularly the generation of crystal structures with specified stability or other physical properties has been actively researched for material discovery purposes. Meanwhile, the generative models capable of symmetry-aware generation are also under active development, because space group symmetry has a strong relationship with the physical properties of materials. In this study, we demonstrate that the symmetry control in the previous conditional crystal generation model may not be sufficiently effective when space group constraints are applied as a condition. To address this problem, we propose the WyckoffDiff-Adaptor, which embeds conditional generation within a WyckoffDiff architecture that effectively diffuses Wyckoff positions to achieve precise symmetry control. We successfully generated formation energy phase diagrams while specifying stable structures of particular combination of elements, such as Li--O and Ti--O systems, while simultaneously preserving the symmetry of the input conditions. The proposed method with symmetry-aware conditional generation demonstrates promising results as an effective approach to achieving the discovery of novel materials with targeted physical properties.</description><author>cond-mat updates on arXiv.org</author><pubDate>Wed, 14 Jan 2026 05:00:00 GMT</pubDate><guid isPermaLink="true">oai:arXiv.org:2601.08115v1</guid></item><item><title>[cond-mat updates on arXiv.org] A microscopic origin for the breakdown of the Stokes Einstein relation in ion transport</title><link>https://arxiv.org/abs/2601.08309</link><description>arXiv:2601.08309v1 Announce Type: new 
+Abstract: Ion transport underlies the operation of biological ion channels and governs the performance of electrochemical energy-storage devices. A long-standing anomaly is that smaller alkali metal ions, such as Li$^+$, migrate more slowly in water than larger ions, in apparent violation of the Stokes-Einstein relation. This breakdown is conventionally attributed to dielectric friction, a collective drag force arising from electrostatic interactions between a drifting ion and its surrounding solvent. Here, combining nanopore transport measurements over electric fields spanning several orders of magnitude with molecular dynamics simulations, we show that the time-averaged electrostatic force on a migrating ion is not a drag force but a net driving force. By contrasting charged ions with neutral particles, we reveal that ionic charge introduces additional Lorentzian peaks in the frequency-dependent friction coefficient. These peaks originate predominantly from short-range Lennard-Jones (LJ) interactions within the first hydration layer and represent additional channels for energy dissipation, strongest for Li$^+$ and progressively weaker for Na$^+$ and K$^+$. Our results demonstrate that electrostatic interactions primarily act to tighten the local hydration structure, thereby amplifying short-range LJ interactions rather than directly opposing ion motion. This microscopic mechanism provides a unified physical explanation for the breakdown of the Stokes-Einstein relation in aqueous ion transport.</description><author>cond-mat updates on arXiv.org</author><pubDate>Wed, 14 Jan 2026 05:00:00 GMT</pubDate><guid isPermaLink="true">oai:arXiv.org:2601.08309v1</guid></item><item><title>[cond-mat updates on arXiv.org] DataScribe: An AI-Native, Policy-Aligned Web Platform for Multi-Objective Materials Design and Discovery</title><link>https://arxiv.org/abs/2601.07966</link><description>arXiv:2601.07966v1 Announce Type: cross 
+Abstract: The acceleration of materials discovery requires digital platforms that go beyond data repositories to embed learning, optimization, and decision-making directly into research workflows. We introduce DataScribe, an AI-native, cloud-based materials discovery platform that unifies heterogeneous experimental and computational data through ontology-backed ingestion and machine-actionable knowledge graphs. The platform integrates FAIR-compliant metadata capture, schema and unit harmonization, uncertainty-aware surrogate modeling, and native multi-objective multi-fidelity Bayesian optimization, enabling closed-loop propose-measure-learn workflows across experimental and computational pipelines. DataScribe functions as an application-layer intelligence stack, coupling data governance, optimization, and explainability rather than treating them as downstream add-ons. We validate the platform through case studies in electrochemical materials and high-entropy alloys, demonstrating end-to-end data fusion, real-time optimization, and reproducible exploration of multi-objective trade spaces. By embedding optimization engines, machine learning, and unified access to public and private scientific data directly within the data infrastructure, and by supporting open, free use for academic and non-profit researchers, DataScribe functions as a general-purpose application-layer backbone for laboratories of any scale, including self-driving laboratories and geographically distributed materials acceleration platforms, with built-in support for performance, sustainability, and supply-chain-aware objectives.</description><author>cond-mat updates on arXiv.org</author><pubDate>Wed, 14 Jan 2026 05:00:00 GMT</pubDate><guid isPermaLink="true">oai:arXiv.org:2601.07966v1</guid></item><item><title>[cond-mat updates on arXiv.org] Kinetic Flux Equations for Ion Exchange in Silicate Glasses</title><link>https://arxiv.org/abs/2601.03207</link><description>arXiv:2601.03207v4 Announce Type: replace 
+Abstract: Ion exchange kinetic flux equations have been extensively investigated since the mid-twentieth century and continue to provide a fundamental framework for describing mass transport phenomena in solid materials. Despite the maturity of this field, inconsistencies remain in the literature concerning the definition, dimensional consistency, and physical interpretation of the parameters involved. A rigorous and unified treatment of these equations is therefore essential to ensure the reproducibility and comparability of theoretical and experimental studies. The present study aims to establish a coherent and systematic development of ion exchange kinetic flux equations, with particular emphasis on the consistent definition and dimensional formulation of the relevant physical quantities. Beyond refining the theoretical foundations, this study extends the classical formulation by incorporating the influence of mechanical stress on ion transport and considering cross-term interactions within the framework of linear irreversible thermodynamics. This study investigates ion-exchange kinetics within silicate glasses, operating under the Nernst-Planck binary interdiffusion regime. These developments provide a more comprehensive description of ion exchange kinetics, particularly as applied to silicate glasses, where coupling between chemical and mechanical effects plays a crucial role in determining transport behavior and performance.</description><author>cond-mat updates on arXiv.org</author><pubDate>Wed, 14 Jan 2026 05:00:00 GMT</pubDate><guid isPermaLink="true">oai:arXiv.org:2601.03207v4</guid></item><item><title>[ScienceDirect Publication: Journal of Energy Storage] Comparative LCA of energy and environmental impacts in sulfide-based all-solid-state battery manufacturing: Wet vs. dry processes</title><link>https://www.sciencedirect.com/science/article/pii/S2352152X26000708?dgcid=rss_sd_all</link><description>&lt;p&gt;Publication date: 10 March 2026&lt;/p&gt;&lt;p&gt;&lt;b&gt;Source:&lt;/b&gt; Journal of Energy Storage, Volume 150&lt;/p&gt;&lt;p&gt;Author(s): Jiachen Xu, Tao Feng, Wei Guo, Jun Wu, Liurong Shi, Lin Hua, Ziwei Wang&lt;/p&gt;</description><author>ScienceDirect Publication: Journal of Energy Storage</author><pubDate>Tue, 13 Jan 2026 18:30:44 GMT</pubDate><guid isPermaLink="true">https://www.sciencedirect.com/science/article/pii/S2352152X26000708</guid></item><item><title>[ScienceDirect Publication: Journal of Energy Storage] Multiscale modeling for all-solid-state batteries: An investigation on electro-chemo-thermo-mechanical degradation</title><link>https://www.sciencedirect.com/science/article/pii/S2352152X25050091?dgcid=rss_sd_all</link><description>&lt;p&gt;Publication date: 10 March 2026&lt;/p&gt;&lt;p&gt;&lt;b&gt;Source:&lt;/b&gt; Journal of Energy Storage, Volume 150&lt;/p&gt;&lt;p&gt;Author(s): Kejie Wang, Zhipeng Chen, Fenghui Wang, Xiang Zhao&lt;/p&gt;</description><author>ScienceDirect Publication: Journal of Energy Storage</author><pubDate>Tue, 13 Jan 2026 18:30:44 GMT</pubDate><guid isPermaLink="true">https://www.sciencedirect.com/science/article/pii/S2352152X25050091</guid></item><item><title>[ScienceDirect Publication: Journal of Energy Storage] Self-assembled non-flammable poly(arylene ether sulfone)-grafted poly(ethylene glycol) solid electrolyte with improved lithium-ion transport for lithium–sulfur batteries</title><link>https://www.sciencedirect.com/science/article/pii/S2352152X25050492?dgcid=rss_sd_all</link><description>&lt;p&gt;Publication date: 10 March 2026&lt;/p&gt;&lt;p&gt;&lt;b&gt;Source:&lt;/b&gt; Journal of Energy Storage, Volume 150&lt;/p&gt;&lt;p&gt;Author(s): Anh Le Mong, Thi Cam Thach To, Thuy An Trinh, Dukjoon Kim&lt;/p&gt;</description><author>ScienceDirect Publication: Journal of Energy Storage</author><pubDate>Tue, 13 Jan 2026 18:30:44 GMT</pubDate><guid isPermaLink="true">https://www.sciencedirect.com/science/article/pii/S2352152X25050492</guid></item><item><title>[ScienceDirect Publication: Journal of Energy Storage] Solution-processed poly(vinylidene difluoride)-cellulose acetate/Na&lt;sub&gt;1+x&lt;/sub&gt;Al&lt;sub&gt;x&lt;/sub&gt;Ti&lt;sub&gt;2-x&lt;/sub&gt;(PO&lt;sub&gt;4&lt;/sub&gt;)&lt;sub&gt;3&lt;/sub&gt; composite quasi-solid electrolyte for safe and high-performance quasi-solid-state sodium-ion batteries</title><link>https://www.sciencedirect.com/science/article/pii/S2352152X26000757?dgcid=rss_sd_all</link><description>&lt;p&gt;Publication date: 10 March 2026&lt;/p&gt;&lt;p&gt;&lt;b&gt;Source:&lt;/b&gt; Journal of Energy Storage, Volume 150&lt;/p&gt;&lt;p&gt;Author(s): Yi-Hung Liu, Pei-Xuan Chen, Yen-Shen Kuo, Yi-Yu Chiang, Meng-Lun Lee, Torng Jinn Lee&lt;/p&gt;</description><author>ScienceDirect Publication: Journal of Energy Storage</author><pubDate>Tue, 13 Jan 2026 18:30:44 GMT</pubDate><guid isPermaLink="true">https://www.sciencedirect.com/science/article/pii/S2352152X26000757</guid></item><item><title>[ScienceDirect Publication: Journal of Energy Storage] Computational insights into the superionic behavior of amorphous lithium oxyhalide 1.6Li&lt;sub&gt;2&lt;/sub&gt;O-TaCl&lt;sub&gt;5&lt;/sub&gt; solid electrolyte</title><link>https://www.sciencedirect.com/science/article/pii/S2352152X25050455?dgcid=rss_sd_all</link><description>&lt;p&gt;Publication date: 10 March 2026&lt;/p&gt;&lt;p&gt;&lt;b&gt;Source:&lt;/b&gt; Journal of Energy Storage, Volume 150&lt;/p&gt;&lt;p&gt;Author(s): Adil Saleem, Junquan Ou, Leon L. Shaw, Bushra Jabar, Mehwish Khalid Butt&lt;/p&gt;</description><author>ScienceDirect Publication: Journal of Energy Storage</author><pubDate>Tue, 13 Jan 2026 18:30:44 GMT</pubDate><guid isPermaLink="true">https://www.sciencedirect.com/science/article/pii/S2352152X25050455</guid></item><item><title>[ScienceDirect Publication: Journal of Energy Storage] Enhancement of ion transport in Li&lt;sub&gt;3&lt;/sub&gt;InCl&lt;sub&gt;6&lt;/sub&gt; solid electrolyte by in-rich strategy</title><link>https://www.sciencedirect.com/science/article/pii/S2352152X26000770?dgcid=rss_sd_all</link><description>&lt;p&gt;Publication date: 10 March 2026&lt;/p&gt;&lt;p&gt;&lt;b&gt;Source:&lt;/b&gt; Journal of Energy Storage, Volume 150&lt;/p&gt;&lt;p&gt;Author(s): Bo Li, Lei Xian, Fu-Jie Zhao, Zu-Tao Pan, Ling-Bin Kong&lt;/p&gt;</description><author>ScienceDirect Publication: Journal of Energy Storage</author><pubDate>Tue, 13 Jan 2026 18:30:44 GMT</pubDate><guid isPermaLink="true">https://www.sciencedirect.com/science/article/pii/S2352152X26000770</guid></item><item><title>[The Journal of Physical Chemistry Letters: Latest Articles (ACS Publications)] [ASAP] Anharmonicity-Driven Modulation of Carrier Lifetime and Mobility in BF4-Doped All-Inorganic CsPbX3 (X = I, Br) Perovskites</title><link>http://dx.doi.org/10.1021/acs.jpclett.5c03817</link><description>&lt;p&gt;&lt;img alt="TOC Graphic" src="https://pubs.acs.org/cms/10.1021/acs.jpclett.5c03817/asset/images/medium/jz5c03817_0006.gif" /&gt;&lt;/p&gt;&lt;div&gt;&lt;cite&gt;The Journal of Physical Chemistry Letters&lt;/cite&gt;&lt;/div&gt;&lt;div&gt;DOI: 10.1021/acs.jpclett.5c03817&lt;/div&gt;</description><author>The Journal of Physical Chemistry Letters: Latest Articles (ACS Publications)</author><pubDate>Tue, 13 Jan 2026 13:12:44 GMT</pubDate><guid isPermaLink="true">http://dx.doi.org/10.1021/acs.jpclett.5c03817</guid></item><item><title>[Wiley: Advanced Science: Table of Contents] Machine Learning Driven Window Blinds Inspired Porous Carbon‐Based Flake for Ultra‐Broadband Electromagnetic Wave Absorption</title><link>https://advanced.onlinelibrary.wiley.com/doi/10.1002/advs.202521130?af=R</link><description>Advanced Science, EarlyView.</description><author>Wiley: Advanced Science: Table of Contents</author><pubDate>Tue, 13 Jan 2026 08:11:16 GMT</pubDate><guid isPermaLink="true">10.1002/advs.202521130</guid></item><item><title>[Wiley: Advanced Functional Materials: Table of Contents] Toward Robust Ionic Conductivity Determination of Sulfide‐Based Solid Electrolytes for Solid‐State Batteries</title><link>https://advanced.onlinelibrary.wiley.com/doi/10.1002/adfm.202509479?af=R</link><description>Advanced Functional Materials, Volume 36, Issue 4, 12 January 2026.</description><author>Wiley: Advanced Functional Materials: Table of Contents</author><pubDate>Tue, 13 Jan 2026 07:18:05 GMT</pubDate><guid isPermaLink="true">10.1002/adfm.202509479</guid></item><item><title>[cond-mat updates on arXiv.org] Mechanisms of alkali ionic transport in amorphous oxyhalides solid state conductors</title><link>https://arxiv.org/abs/2601.06384</link><description>arXiv:2601.06384v1 Announce Type: new 
 Abstract: Amorphous oxyhalides have attracted significant attention due to their relatively high ionic conductivity ($&gt;$1 mS cm$^{-1}$), excellent chemical stability, mechanical softness, and facile synthesis routes via standard solid-state reactions. These materials exhibit an ionic conductivity that is almost independent of the underlying chemistry, in stark contrast to what occurs in crystalline conductors. In this work, we employ an accurately fine-tuned machine learning interatomic potential to construct large-scale molecular dynamics trajectories encompassing hundreds of nanoseconds to obtain statistically converged transport properties. We find that the amorphous state consists of chain fragments of metal-anion tetrahedra of various lenght. By analyzing the residence time of alkali cations migrating around tetrahedrally-coordinated trivalent metal ions, we find that oxygen anions on the metal-anion tetrahedra limit alkali diffusion. By computing the full Einstein expression of the ionic conductivity, we demonstrate that the alkali transference number of these materials is strongly influenced by distinct-particles correlations, while at the same time they are characterized by an alkali Haven ratio close to one, implying that ionic transport is largely dictated by uncorrelated self-diffusion. Finally, by extending this analysis to chemical compositions $AMX_{2.5}\textsf{O}_{0.75}$, spanning different alkaline ($A$ = Li, Na, K), metallic ($M$ = Al, Ga, In), and halogen ($X$ = Cl, Br, I) species, we clarify why the diffusion properties of these materials remain largely insensitive to variations in atomic chemistry.</description><author>cond-mat updates on arXiv.org</author><pubDate>Tue, 13 Jan 2026 05:00:00 GMT</pubDate><guid isPermaLink="true">oai:arXiv.org:2601.06384v1</guid></item><item><title>[cond-mat updates on arXiv.org] Beyond Predicted ZT: Machine Learning Strategies for the Experimental Discovery of Thermoelectric Materials</title><link>https://arxiv.org/abs/2601.06571</link><description>arXiv:2601.06571v1 Announce Type: new 
 Abstract: The discovery of high-performance thermoelectric (TE) materials for advancing green energy harvesting from waste heat is an urgent need in the context of looming energy crisis and climate change. The rapid advancement of machine learning (ML) has accelerated the design of thermoelectric (TE) materials, yet a persistent "gap" remains between high-accuracy computational predictions and their successful experimental validation. While ML models frequently report impressive test scores (R^2 values of 0.90-0.98) for complex TE properties (zT, power factor, and electrical/thermal conductivity), only a handful of these predictions have culminated in the experimental discovery of new high-zT materials. In this review, we identify and discuss that the primary obstacles are poor model generalizability-stemming from the "small-data" problem, sampling biases in cross-validation, and inadequate structural representation-alongside the critical challenge of thermodynamic phase stability. Moreover, we argue that standard randomized validation often overestimates model performance by ignoring "hidden hierarchies" and clustering within chemical families. Finally, to bridge this gap between ML-predictions and experimental realization, we advocate for advanced validation strategies like PCA-based sampling and a synergetic active learning loop that integrates ML "fast filters" for stability (e.g., GNoME) with high-throughput combinatorial thin-film synthesis to rapidly map stable, high-zT compositional spaces.</description><author>cond-mat updates on arXiv.org</author><pubDate>Tue, 13 Jan 2026 05:00:00 GMT</pubDate><guid isPermaLink="true">oai:arXiv.org:2601.06571v1</guid></item><item><title>[cond-mat updates on arXiv.org] Altermagnetism-driven FFLO superconductivity in finite-filling 2D lattices</title><link>https://arxiv.org/abs/2601.06735</link><description>arXiv:2601.06735v1 Announce Type: new 
 Abstract: We systematically investigate the emergence of finite-momentum Fulde-Ferrell-Larkin-Ovchinnikov (FFLO) superconductivity in a square lattice Hubbard model with finite filling, driven by either $d_{xy}$-wave or $d_{x^{2}-y^{2}}$-wave altermagnetic order in the presence of on-site $s$-wave attractive interactions. Our study combines mean-field calculation in the superconducting phase with pairing instability analysis of the normal state, incorporating the next-nearest-neighbor hopping in the single-particle dispersion relation. We demonstrate that the two types of altermagnetism have markedly different impacts on the stabilization of FFLO states. Specifically, $d_{xy}$-wave altermagnetism supports FFLO superconductivity over a broad parameter regime at low fillings, whereas $d_{x^{2}-y^{2}}$-wave altermagnetism only induces FFLO pairing in a narrow range at high fillings. Furthermore, we find that the presence of a Van Hove singularity in the density of states tends to suppress FFLO superconductivity. These findings may provide guidance for experimental exploration of altermagnetism-induced FFLO states in real materials with more complex electronic structures.</description><author>cond-mat updates on arXiv.org</author><pubDate>Tue, 13 Jan 2026 05:00:00 GMT</pubDate><guid isPermaLink="true">oai:arXiv.org:2601.06735v1</guid></item><item><title>[cond-mat updates on arXiv.org] Bgolearn: a Unified Bayesian Optimization Framework for Accelerating Materials Discovery</title><link>https://arxiv.org/abs/2601.06820</link><description>arXiv:2601.06820v1 Announce Type: new