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.

Self-Assembled H2NC Molecular Lattices as a Platform for Substrate-Tunable Quantum Superlattices

This study demonstrates that metal substrates can transform self-assembled H2Nc molecular lattices from isolated molecules into tunable 2D quantum superlattices with substrate-dependent electronic properties, orbital hybridization, and symmetry breaking, as revealed through combined theoretical and experimental investigations.

Adrian Bahri, Zhibo Kang, Ziyan Zhu, Eric I. Altman, Yu He, Chunjing Jia2026-03-17🔬 cond-mat.mtrl-sci

Role of ionic quantum-anharmonic fluctuations on the bond length alternation and giant piezoelectricity of conjugated polymers

This study demonstrates that while quantum ionic fluctuations significantly alter the structural properties and shift the dimerization phase transition boundary of conjugated polymers like carbyne, the giant piezoelectric response remains robust and is even enhanced by approximately 20% due to a quantum-induced reduction in the electronic gap.

Stefano Paolo Villani, Lorenzo Monacelli, Paolo Barone, Francesco Mauri2026-03-17🔬 cond-mat.mtrl-sci

Geometric and Topological Deep Learning for Predicting Thermo-mechanical Performance in Cold Spray Deposition Process Modeling

This study develops and evaluates a geometric deep learning framework using graph neural networks to accurately predict thermo-mechanical responses in cold spray deposition, demonstrating that spatial graph-based aggregation significantly outperforms traditional and topological methods in modeling the process's highly non-linear behavior.

Akshansh Mishra2026-03-17🔬 cond-mat.mtrl-sci

Atomistic modeling of the hygromechanical properties of amorphous Polyamide 6,6

This study employs atomistic molecular dynamics simulations to reveal how water content nonmonotonically influences the glass transition temperature and mechanical properties of amorphous Polyamide 6,6 by initially restricting chain mobility at low concentrations and subsequently disrupting hydrogen bond networks at higher levels, thereby validating the temperature-humidity equivalence through density variations.

Karim Gadelrab, Armin Kech, Camilo Cruz2026-03-17🔬 cond-mat.mtrl-sci

Synergistic doping and stabilization of magnetically tunable LnTi3_3(Sb,Sn)4_4 (Ln:Ce--Gd) kagome metals

This study demonstrates that synergistic (Sb,Sn) doping not only stabilizes the otherwise inaccessible LnTi3_3(Sb,Sn)4_4 kagome metal structure by optimizing electronic states but also enables precise tuning of magnetic ground states through Fermi level adjustment, offering a versatile pathway for developing tunable intermetallic materials.

Brenden R. Ortiz, Ramakanta Chapai, German Samolyuk, Milo Sprague, Arun K. Kumay, Hu Miao, Karolina Gornicka, Xiaoping Wang, Qiang Zhang, Madhab Neupane, David Parker, Jiaqiang Yan2026-03-17🔬 cond-mat.mtrl-sci

A phase field model with arbitrary misorientation dependence of grain boundary energy

This paper introduces a modified phase field model that overcomes the limitations of existing orientation-field approaches by incorporating non-local misorientation-dependent coefficients, thereby enabling the simulation of arbitrary grain boundary energy behaviors, including energy decreases with increasing misorientation and sharp cusps.

Philip Staublin (University of Michigan), Yuri Mishin (George Mason University), Peter W. Voorhees (California Institute of Technology, Northwestern University)2026-03-17🔬 cond-mat.mtrl-sci

Decoupling structural and bonding effects on ferroelectric switching in ScAlN via molecular dynamics under an applied electric field

Using machine-learning force field-based molecular dynamics simulations, this study decouples the structural and bonding effects in ScAlN to reveal that while remanent polarization is governed solely by the internal structural parameter, the coercive field is determined by a combination of structural changes and bond weakening, highlighting the necessity of dynamic simulations for understanding ferroelectric switching.

Ryotaro Sahashi, Po-Yen Chen, Teruyasu Mizoguchi2026-03-17🔬 cond-mat.mtrl-sci

Synchrotron-radiation X-ray topography and reticulography of bulk β\beta-Ga2_2O3_3 crystals grown from a crucible-free melt

This study utilizes synchrotron radiation X-ray topography and reticulography to characterize the structural properties and defect distribution of bulk β\beta-Ga2_2O3_3 crystals grown via the oxide crystal growth from cold crucible method, revealing high crystalline quality near the seed, a twist-type lattice misorientation during diameter enlargement, and dominant 010\langle010\rangle-oriented screw dislocations with varying densities across the crystal.

Yongzhao Yao, Koki Mizuno, Kazuki Ohnishi, Yukari Ishikawa, Masanori Kitahara, Taketoshi Tomida, Rikito Murakami, Vladimir Kochurikhin, Liudmila Gushchina, Kei Kamada, Koichi Kakimoto, Akira Yoshikawa2026-03-17🔬 cond-mat.mtrl-sci