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.

🔬 condensed matter

A Topology-Preserving Python Framework for Reliable Initialization of Star and Cyclic Polymer Architectures in Molecular Dynamics (LAMMPS) Simulations

This paper introduces a topology-preserving Python framework that reliably initializes star and cyclic polymer architectures for LAMMPS simulations by ensuring exact ring closure and overlap-free placement, thereby eliminating artificial stresses and enhancing the reproducibility of molecular dynamics results.

Oluwatumininu Emmanuel Ayo-Ojo, Akpevweoghene Ogheneowho Ugono, Nkosinathi Dlamini2026-06-23
🔬 materials science

Interaction between point defects and vertical inversion domain walls in wurtzite AlN

This study utilizes first-principles calculations to demonstrate that point defects in wurtzite AlN are energetically stabilized at vertical inversion domain walls, where they differentially influence domain wall displacement and potentially contribute to leakage currents and degraded ferroelectric performance.

Loris Naudin, Charles Paillard, Laurent Bellaiche, Lionel Calmels, Rémi Arras2026-06-23
🔬 materials science

Stacking-Directed Polarization and Excitonic Engineering in MoS2_2/MoSe2_2 van der Waals Heterostructures

Using GW+BSE many-body perturbation theory, this study reveals that while MoS2_2/MoSe2_2 heterostructures lack switchable interlayer dipoles due to intrinsic chemical potential mismatch, their specific stacking sequences enable deterministic control of photogenerated electrons and interlayer excitonic shifts, establishing them as promising platforms for sliding ferroelectricity and programmable optoelectronics.

Mohammed El Amine Miloudi, Oliver Kühn2026-06-23
🔬 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