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

Spin-orbit-enabled Fermi-surface splitting in noncollinear antiferromagnetic SmBi

This study demonstrates that SmBi achieves a unique, cooperative relativistic mechanism for spin-split Fermi surfaces by combining noncollinear antiferromagnetic order with spin-orbit coupling, a phenomenon not observed in isostructural SmSb and distinct from nonrelativistic spin-splitting scenarios.

Long Zhang, Ming Cheng, Jingyu Li, Honghao Wan, Xiaoyuan Zhou, Mingquan He, Aifeng Wang, Yuping Sun, Dong-Hui Xu, Huixia (…)2026-06-23
🔬 materials science

Halide substitution effects on the photovoltaic properties of Ca3_3PX3_3 (X = F, Cl, Br, I) perovskites: advancing solar cell efficiency

This study investigates the structural, electronic, and optical properties of Ca3_3PX3_3 (X = F, Cl, Br, I) perovskites via first-principles calculations, revealing that halide substitution significantly tunes their bandgaps and that Ca3_3PI3_3 exhibits the highest potential for solar cell applications with a predicted Shockley-Queisser limit efficiency of 29.6%.

P. Dhariwal, D. Prakash, K. D. Verma, A. Kumari, P. K. Kamlesh, A. S. Verma2026-06-23
🔢 mathematics

Electromagnetic Characterization of Magnetic Bar: Case of Square Cross-Section Shape

This paper presents a complete two-dimensional theoretical model for the electromagnetic behavior of square-section magnetic bars under sinusoidal loading, deriving exact mathematical expressions for key parameters and introducing a new apparent permeability parameter that enables rapid magnetic steel characterization while bypassing the computational costs of Finite Element Analysis.

Taha El Hajji, Bruno Ricardo Marques, Lars Sjöberg2026-06-23
🔬 materials science

Bridging Phase-Field Model and Deep Learning for Predicting 2D and 3D Microstructure Evolution in Ternary Alloys

This paper presents a hybrid framework that integrates a phase-field model with an attention-enhanced deep learning architecture to accurately and efficiently predict the spatiotemporal evolution of 2D and 3D microstructures in ternary alloys during spinodal dealloying.

Owais Ahmad, Aravind K, Naveen Kumar, T. A. Abinandanan, Somnath Bhowmick, Rajdip Mukherjee2026-06-23
🔬 materials science

Cladding Layer Enhanced GHz Bulk Acoustic Wave Resonance in Sodium Niobate Thin Films on Silicon

This paper presents the fabrication of lead-free sodium niobate bulk acoustic wave resonators operating at ~4 GHz with a high electromechanical coupling factor of 31.3%, achieved by cladding the piezoelectric layer between high band gap insulators to mitigate leakage currents, prevent cracking, and promote a vertically distorted tetragonal phase.

Zhi Shiuh Lim, Qibin Zeng, Hui Kim Hui, Mengyao Xiao, Tiancheng Luo, Weifan Cai, Shengwei Zeng, Samantha Faye Duran Solc (…)2026-06-23
🔬 materials science

A correlation of structural changes with nanomechanical properties in TiN-AlN multilayer films

This study demonstrates that in reactively sputtered TiN-AlN multilayer films, the phase transformation of AlN from cubic to hexagonal above a 3 nm thickness, while reducing overall hardness, significantly enhances damage tolerance by promoting crack deflection and a transition from brittle to partially ductile failure.

Nidhin George Mathews, Aidan A. Taylor, Johannes Zechner, Helmut Riedl, Paul H. Mayrhofer, Johann Michler, Vipin Chawla (…)2026-06-23
🔬 materials science

Fine-Tuned Machine-Learned Interatomic Potentials for Structural and Vibrational Properties of Twisted 2D Materials

This study demonstrates that fine-tuning universal machine-learned interatomic potentials, specifically the MACE model, is essential for achieving DFT-level accuracy in modeling the structural reconstruction and vibrational properties of twisted 2D van der Waals bilayers, successfully capturing strain landscapes and phonon spectra that align with experimental observations.

Viet-Anh Tran, Viet-Hung Nguyen, Wei Chen, Gian-Marco Rignanese, Jean-Christophe Charlier2026-06-23