4091 papers
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.
This study identifies a new plasmon-like mode in PdTe below 100 K through temperature-dependent Raman scattering, confirming its electronic origin via congruent theoretical modeling and phenomenological analysis of the linear frequency dependence of the Raman relaxation rate.
This paper employs a Boltzmann transport approach to demonstrate that the spontaneous Nernst coefficient in ferromagnetic metals is inversely proportional to the scattering time and directly linked to itinerant orbital angular momentum, providing a theoretical framework and practical guidelines for maximizing this effect through band structure engineering.
Using polarization-resolved infrared spectroscopy, this study reveals that the density-wave transition in the trilayer nickelate LaNiO drives a dramatic enhancement of electronic anisotropy by effectively decoupling the Ni-O layers through a spin-density-wave-induced redistribution of Ni- orbital occupation.
This paper introduces the Materials Explorer Pipeline, a domain-agnostic system that uses AI to transform unstructured scientific literature into a structured, queryable, and provenance-rich knowledge base, demonstrated by extracting 233 sample records from superconducting qubit materials research.
The paper introduces PtyRANNOSAUR, a specialized convolutional autoencoder-based neural network that reconstructs atomic-resolution electron ptychography data with sub-angstrom accuracy in seconds, offering a robust, hyperparameter-free alternative to standard iterative methods that is 10–100 times faster.
This paper presents a validated in-situ thermal analysis methodology using X-ray diffraction to accurately determine sample temperatures and phase stability, which was first established using CsPbCl3 as a model system and subsequently applied to investigate the thermal kinetics and structural transitions of the double perovskite Cs2AgSbCl6.
This study demonstrates that self-assembled ferroelectric SrTiO3/PbTiO3 superlattices can be engineered to exhibit emergent millimeter-wave resonances through complex polar textures and domain breathing modes, offering a new design strategy for high-frequency electronics.
This study demonstrates that introducing a high-entropy perovskite oxide into a BF-BT matrix via entropy engineering induces lattice distortion and microstructural heterogeneity, which significantly suppresses hysteresis and enhances breakdown strength to achieve a record recoverable energy density of 10.55 J/cm³ in lead-free ferroelectric ceramics.
This paper presents a fault-tolerant quantum post-processing strategy that efficiently estimates the dominant two-body finite-size correction for periodic materials by measuring the static structure factor via block encoding and adaptive search, offering a subleading-cost alternative to traditional down-sampling methods.
This paper demonstrates a simple, nondestructive, high-throughput method using polarized-light microscopy to visualize the three-dimensional inclination and large-area distribution of threading dislocations in ammonothermal GaN wafers, revealing their climb-mediated motion associated with strain relaxation during crystal growth.