Condensed matter physics and materials science form a dynamic partnership, exploring how the collective behavior of atoms gives rise to the unique properties of solids and liquids. This field bridges the gap between fundamental quantum mechanics and the practical engineering of everything from flexible electronics to superconductors, turning abstract theories into tangible innovations that shape our daily lives.

At Gist.Science, we process every new preprint in this category directly from arXiv to make these complex discoveries accessible to everyone. Our team generates both plain-language overviews and detailed technical summaries for each paper, ensuring that researchers, students, and curious minds alike can grasp the latest breakthroughs without getting lost in dense jargon.

Below are the latest papers in condensed matter and materials science, organized by their most recent publication dates.

From Data to Theory: Autonomous Large Language Model Agents for Materials Science

This paper presents an autonomous large language model agent capable of end-to-end, data-driven materials theory development that successfully recovers established equations and proposes new relationships, while highlighting the critical need for careful validation due to the model's potential to generate mathematically fitting yet scientifically incorrect results.

Samuel Onimpa Alfred, Veera Sundararaghavan2026-04-23🔬 cond-mat.mtrl-sci

Melting temperature shifts from quantum fluctuations in generalized Wigner crystals

This paper challenges the conventional belief that quantum fluctuations always lower transition temperatures by demonstrating, through numerical simulations and perturbation theory on generalized Wigner crystals in moiré systems, that the interplay between quantum and thermal fluctuations can be competitive and actually increase the melting temperature in certain regimes.

Aman Kumar, Sogoud Sherif, Veit Elser, Hitesh J. Changlani2026-04-23🔬 cond-mat

Griffiths-like phase, spin-phonon coupling, and exchange-bias in the disordered double perovskite GdSrCoMnO6_{6}

This study reveals that structural disorder in the double perovskite GdSrCoMnO6_6 drives complex magnetic behaviors, including a Griffiths-like phase, spin-phonon coupling, slow magnetic dynamics, and a significant low-temperature exchange-bias effect, all stemming from the competition between ferromagnetic and antiferromagnetic interactions caused by the random distribution of mixed-valence Co and Mn ions.

Gyanti Prakash Moharana, Diptikanta Swain, Hanuma Kumar Dara, Debendra Prasad Panda, S. N Sarangi2026-04-23🔬 cond-mat.mtrl-sci

Accelerating the Design of Resorbable Magnesium Alloys: A Machine Learning Approach to Property Prediction

This study presents a validated machine learning framework, utilizing an ensemble CatBoost model trained on 410 samples, to rapidly predict and optimize the mechanical properties of resorbable magnesium alloys by elucidating the critical roles of thermomechanical processing and specific alloying elements like Zn, Mn, and Gd.

Vickey Nandal, Vít Beneš, Pavel Baláž, Jiří Ryjáček, Karel Tesař2026-04-23🔬 cond-mat.mtrl-sci

Inhibitory neuristor based on metal-to-insulator transition

This paper reports the experimental demonstration of a novel inhibitory artificial neuron based on metal-to-insulator transition (MIT) materials, which exhibits robust self-oscillating current suppression in an RL circuit to complement existing excitatory IMT-based neuristors in neuromorphic computing.

Victor Palin, Akash Agnihotri, Nareg Ghazikhanian, Matthew Frame, Yayoi Takamura, Ivan K. Schuller, Pavel Salev2026-04-23🔬 cond-mat.mtrl-sci

Broadband dielectric permittivity tensor of muscovite for next-generation all van der Waals photonic components

This paper establishes muscovite as a low-loss, low-index van der Waals material with a characterized broadband dielectric tensor, enabling the design of efficient, sub-micron all-vdW photonic components like distributed Bragg reflectors and beam splitters.

Meri Hayrapetyan, Maksim Sargsyan, David Karakhanyan, Ani Khachatryan, Maria Levonyan, Dmitrii Litvinov, Maciej Koperski, Artsruni Margaryan, Makars Šiškins, Kostya S. Novoselov, Davit A. Ghaz (…)2026-04-23🔬 physics.optics