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

Strain-induced Dynamic Spin-Phonon Coupling in Epitaxial RuO2 Films

This study demonstrates that anisotropic strain in epitaxial RuO2 films induces dynamic spin-phonon coupling, enabling the photo-induced frequency modulation of both sub-THz acoustic and optical phonons to facilitate new ultrafast quantum opto-spintronic applications in altermagnets.

In Hyeok Choi, Seung Gyo Jeong, Jae Hyuck Lee, San Kang, Sreejith Nair, Changyoung Kim, Dirk Wulferding, Bharat Jalan, J (…)2026-10-02
🔬 materials science

Investigation of Fe-Ag and Ag-Fe Interfaces in Ag-57Fe-Ag trilayer Using Nuclear Resonance Scattering under X-ray Standing Wave Conditions

This study utilizes X-ray standing wave-induced nuclear resonance scattering to reveal that the Ag-57Fe-Ag trilayer interfaces possess distinct roughness and hyperfine fields, with thermal annealing at 325°C inducing 57Fe diffusion into the Ag matrix to form paramagnetic nanoparticles.

Manisha Priyadarsini, Sharanjeet Singh, Ilya Sergeev, Olaf Leupold, Ajay Gupta, Ilaria Carlomagno, V R Reddy, K R Priolk (…)2026-10-02
🔬 materials science

Direct Modeling of Pore Size Evolution and Microcollapse in Lyophilization by Population Balance

This paper presents a computationally efficient population balance model that directly simulates pore size evolution and microcollapse during pharmaceutical freeze-drying, successfully predicting mass transfer resistance and product temperature across various conditions using a single material-specific rate constant.

Isaac Stonewall Wheeler (Purdue University Davidson School of Chemical Engineering), Vivek Narsimhan (Purdue University (…)2026-10-02
🔬 materials science

Robustness of the Verwey transition against remanent strain-induced defects in magnetite

This study demonstrates that while point defects significantly suppress the Verwey transition temperature in magnetite, extended line-like defects and remanent strain fields induced by uniaxial plastic deformation do not measurably perturb the transition temperature or its sharpness.

M. A. Gala, K. J. Grzywa, K. Komędera, R. Zalecki, A. Baczmański, Z. Kąkol, A. Pacanowska, C. M. N. Kumar, R. Rodriguez (…)2026-10-02
🔬 materials science

Anisotropic medium-range order uncovers dynamic crossovers in glass-forming liquids

This study introduces a novel four-point correlation function to reveal that anisotropic medium-range order, characterized by a structural length scale exceeding the particle size, peaks at both high- and low-temperature dynamical crossovers in glass-forming liquids, thereby linking these distinct changes in relaxation mechanisms to a single structural observable.

Kamlesh Mishra, Rajesh Ganapathy, Walter Kob2026-10-02
🔬 materials science

From Energy-Force Weighting to Primal-Dual Optimization of Machine-Learned Interatomic Potentials

This paper proposes a primal-dual optimization framework that replaces traditional energy-force weight selection with a force-constrained fitting procedure, demonstrating that this approach not only achieves comparable low-error performance with significant computational speedups across various materials but also provides a more robust and explicit rule for selecting machine-learned interatomic potentials.

Chenyu Wang, Yangshuai Wang, Lei Zhang2026-10-02
🔬 materials science

Theory of Chirality-Induced Spin Selectivity in Trefoil-knot Molecules

This paper introduces a discrete geometric spin-orbit coupling framework that explains the origin of chirality-induced spin selectivity in trefoil-knot molecules by identifying site-resolved geometric effects, particularly in substrate-coupled benzene units, as the dominant mechanism driving ultrahigh spin polarization and reproducing experimental magnetoresistance trends.

Xi Sun, Shu-Zheng Zhou, Kai-Yuan Zhang, Hua-Hua Fu2026-10-02
🔬 materials science

Domain-engineered ferroelectric BiFeO3_3 thin films for efficient bias-free THz emission

This study demonstrates that engineering ferroelectric domain configurations in BiFeO3_3 thin films significantly enhances bias-free terahertz emission, identifying ultrafast polarization screening at domain walls as the dominant mechanism in stripe-domain films and establishing domain structure as a critical design parameter for optimizing light-driven THz sources.

Z. Abdul Hadi, N. Rezi, M. Monti, G. Vaudel, A. Abdelsamie, C. Carrétéro, D. Sando, M. Viret, V. Garcia, S. Fusil, M. C. (…)2026-10-02