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.

🔬 materials science

Electronic Structure of Epitaxial Films of the Bilayer Strontium Ruthenate: Sr3_{3}Ru2_2O7_{7}

This study combines angle-resolved photoemission spectroscopy and density functional theory to demonstrate that the electronic band structure and Fermi surface topology of epitaxial Sr3_3Ru2_2O7_7 films are highly sensitive to epitaxial strain, exhibiting distinct orthorhombic-like and tetragonal-like symmetries on LSAT and STO substrates, respectively.

Sethulakshmi Sajeev, Arnaud P. Nono Tchiomo, Brendan D. Faeth, Evan Krysko, Olivia Peek, Matthew J. Barone, Jordan Shiel (…)2026-06-25
⚛️ quantum physics

Constraint-Aware Quantum Optimization of Defect Configurations in Doped ZrO2: XY-Mixer QAOA and Grover Adaptive Search

This paper presents an end-to-end, constraint-aware quantum optimization workflow for doped ZrO2 materials that utilizes a high-accuracy QUBO surrogate to enable both a constraint-preserving XY-mixer QAOA and a fault-tolerant Grover Adaptive Search, demonstrating significant probability concentration near the global optimum and substantial resource savings through feasible-space amplification.

Huajing Song2026-06-25
🔬 materials science

A convolutional neural network surrogate for hierarchical homogenization: fast elastic moduli prediction of digital rocks

This paper proposes a fast and accurate method for predicting the effective elastic moduli of digital rocks by combining a lightweight 3D convolutional neural network with hierarchical homogenization, which replaces computationally expensive direct numerical simulations and demonstrates that training on Hashin–Shtrikman-normalized factors offers the optimal balance between speed, accuracy, and physical consistency.

Hanfeng Zhai, Rasool Ahmad, Tapan Mukerji, Wei Cai2026-06-25
🔬 applied physics

Wide-field NV magnetometry under simultaneous high-pressure and high-temperature conditions

This paper demonstrates the feasibility of wide-field optically detected magnetic resonance (ODMR) using nitrogen-vacancy (NV) centers to spatially visualize magnetic fields under simultaneous extreme conditions of high pressure (up to 7 GPa) and high temperature (500 K), establishing a new platform for imaging magnetic phenomena in such environments.

Masahiro Ohkuma, Eikichi Kimura, Shumpei Ohyama, Miu Tezuka, Ryo Matsumoto, Shinobu Onoda, Yoshihiko Takano, Shintaro Az (…)2026-06-25✓ Author reviewed
🔬 materials science

Intrinsic Defect Energetics and Fluorine Doping Effects in Li2CO3 and Li2O2: A First-Principles Study

This first-principles study systematically analyzes the intrinsic defect energetics of Li2CO3 and Li2O2, revealing that fluorine doping selectively lowers vacancy formation energies to partially destabilize the carbonate framework and modulate the stability of these discharge products in lithium-oxygen batteries.

Youjeong Choi, Tasuku Sugiura, Keisuke Mukai, Nanako Ishihara, Shuji Nakanishi, Teruyasu Mizoguchi2026-06-25
🔬 materials science

A topology-tuned pressure valve across the isoreticular RHO zeolite family

This study demonstrates that the mechanical critical pressure of the isoreticular RHO zeolite family can be exponentially tuned from approximately 0.94 GPa to below 0.03 GPa by increasing the isoreticular order, revealing that the framework's reversible phase-transition "valve" behavior is a generic property of the hierarchy that becomes significantly softer and more stimuli-responsive in larger members.

Salvador R. G. Balestra (Departamento de Física Atómica, Molecular y Nuclear, Área de Física Teórica, Universidad de Sev (…)2026-06-25
🔬 materials science

Barocaloric phase transformation from data efficient fine-tuning of machine learned interatomic potentials

This study demonstrates that fine-tuning the MACE-MPA-0 foundation model on as few as 5 to 10 DFT configurations enables accurate machine-learned interatomic potentials to reproduce the barocaloric phase transformation of ammonium sulfate, overcoming the data inefficiency of training from scratch while highlighting the necessity of dispersion corrections and hybrid-DFT levels for correct phase behavior description.

Ludwig Hedin, Johan Klarbring2026-06-25
🔬 materials science

Sensitivity-optimal coplanar waveguide design for broadband magnetic resonance spectroscopy: a Beer--Lambert framework

This paper establishes a universal, Beer–Lambert-inspired framework that optimizes coplanar waveguide design for broadband magnetic resonance spectroscopy by identifying a near-universal 1Np1\,\mathrm{Np} sensitivity optimum dependent only on sample geometry and noise sources, while providing specific fabrication strategies for both PCB-milled and photolithographic instruments.

Scott Dietrich, Artur Solodovnyk2026-06-25
🔬 applied physics

Impact of sintering conditions on the dielectric properties of TiO2 ceramics for metamaterialsapplications at terahertz frequencies

This paper demonstrates that optimizing sintering conditions, specifically through spark plasma sintering and post-sintering annealing, enables the fabrication of bulk TiO2 ceramics with a permittivity of 103 and an exceptionally low loss tangent of 0.006, making them highly suitable for terahertz all-dielectric metamaterial applications.

Djihad Amina Djemmah, Delphine Gourdonnaud, Faycal Bouamrane, Jean-Francois Roux, Pierre-Marie Geffroy, Eric Akmansoy2026-06-25