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.

Degeneracy and trajectory control of spin eigenmodes excited by fs-optical pulses in a nearly compensated ferrimagnet

This paper reveals an unconventional regime in nearly compensated ferrimagnets where optically excited spin eigenmodes become degenerate and reverse handedness under a critical magnetic field, enabling the collapse of precessional dynamics into linear oscillations and the precise control of spin trajectories via double-pulse excitation.

G. Yu. Levkin, D. M. Krichevsky, N. A. Gusev, A. K. Zvezdin, S. N. Polulyakh, V. I. Belotelov, D. O. Ignatyeva2026-06-10🔬 cond-mat.mtrl-sci

Field-Induced Up-Up-Down State and Frustrated Magnetism in a Non-Kramers Triangular Antiferromagnet

This study reports the synthesis and characterization of the non-Kramers triangular antiferromagnet TmZnGaO4, which exhibits a field-induced one-third magnetization plateau corresponding to an up-up-down state and broad specific heat anomalies indicative of strong spin fluctuations and potential exotic quantum spin states.

Zhaoyi Li, Qinchen Duan, Bo Wen, Ruidan Zhong, Shu Guo2026-06-10🔬 cond-mat.mtrl-sci

Influence of CeO2_2MnOx_x heterostructure on Hydrogen Peroxide Electrogeneration on Carbon-Based Catalysts

This study demonstrates that low-loading CeO2_2 and CeO2_2MnOx_x nanoparticles supported on Vulcan XC-72 carbon significantly enhance the selectivity and activity for sustainable hydrogen peroxide electrogeneration via the two-electron oxygen reduction reaction, with the 1% CeO2_2MnOx_x/C catalyst achieving up to 90% selectivity.

Caroline de O. Carrilho, Juliana M. S. de Jesus, João Paulo C. Moura, Dara Silva Santos, Aline B. Trench, Caio Machado Fernandes, Aila O. Santos, Odivaldo C. Alves, Júlio C. M. Silva, Mauro C. dos San (…)2026-06-10🔬 cond-mat.mtrl-sci

Strong Fiber from Uniaxial Fullerene Supramolecules Aligned with Carbon Nanotubes

This paper reports the development of a novel fiber composed of uniaxial chains of aligned fullerene supramolecules self-assembled between aligned few-walled carbon nanotube bundles via a modified acid extrusion process, creating a testbed for advancing high-strength, conductive CNT wires.

John Bulmer, Michelle Durán-Chaves, Daniel M. Long, Jeremiah Lipp, Steven Williams, Mitchell Trafford, Anthony Pelton, Jared Shank, Benji Maruyama, Larry Drummy, Matteo Pasquali, Hilmar Koerner, Timot (…)2026-06-09🔬 cond-mat.mtrl-sci

Modeling intercalation chemistry with multi-redox reactions by sparse lattice models in disordered rocksalt cathodes

This paper introduces a combined approach using sparse regression-based cluster expansion and semigrand-canonical Monte Carlo sampling to efficiently model the intercalation thermodynamics of disordered rocksalt cathodes, successfully reproducing experimental voltage profiles and elucidating the redox contributions of Mn and oxygen in Li1.3x_{1.3-x}Mn0.4_{0.4}Nb0.3_{0.3}O1.6_{1.6}F0.4_{0.4}.

Peichen Zhong, Fengyu Xie, Luis Barroso-Luque, Liliang Huang, Gerbrand Ceder2026-06-09🔬 cond-mat.mtrl-sci

Synchrotron x-ray diffraction and DFT study of non-centrosymmetric EuRhGe3 under high pressure

This study combines synchrotron X-ray diffraction and DFT calculations to investigate the high-pressure structural behavior of non-centrosymmetric EuRhGe3, revealing a smooth volume contraction up to 35 GPa without phase transitions, anisotropic lattice compression, and a deviation between experimental and theoretical volumes at higher pressures attributed to non-integer Eu valence.

N. S. Dhami, V. Balédent, I. Batistić, O. Bednarchuk, D. Kaczorowski, J. P. Itié, S. R. Shieh, C. M. N. Kumar, Y. Utsumi2026-06-09🔬 cond-mat.mtrl-sci

Lattice Parameters and Bulk Modulus of SrTi1x_{1-\mathit{x}}Mnx_{\mathit{x}}O3_{3} Perovskites: A Comparison of Exchange-Correlation Functionals with Experimental Validation

This study validates that the PBEsol and WC exchange-correlation functionals outperform LDA and PBE in accurately predicting the lattice parameters and bulk moduli of cubic SrTi1x_{1-\mathit{x}}Mnx_{\mathit{x}}O3_{3} perovskites across various Mn concentrations, as confirmed by X-ray diffraction and experimental bulk modulus measurements.

Miroslav Lebeda, Jan Drahokoupil, Stanislav Kamba, Šimon Svoboda, Vojtěch Smola, Bogdan Dabrowski, Petr Vlčák2026-06-09🔬 cond-mat.mtrl-sci

Modeling phase transformations in Mn-rich disordered rocksalt cathodes with machine learning interatomic potentials

This study employs machine learning interatomic potentials to reveal that Mn-rich disordered rocksalt cathodes undergo a phase transformation into a spinel-like structure driven by transition metal migration rather than Mn2+^{2+} formation, resulting in improved lithium transport kinetics and higher capacity.

Peichen Zhong, Bowen Deng, Shashwat Anand, Tara Mishra, Gerbrand Ceder2026-06-09🔬 cond-mat.mtrl-sci

Deep Generative Learning of Magnetic Frustration in Artificial Spin Ice from Magnetic Force Microscopy Images

This paper presents a two-stage deep learning framework that utilizes Variational Autoencoders to generate synthetic Magnetic Force Microscopy images and automate the analysis of magnetic frustration in artificial spin ice, ultimately enabling the precise identification of frustrated vertices and the design of optimized spin-ice configurations.

Arnab Neogi, Suryakant Mishra, Prasad P Iyer, Tzu-Ming Lu, Ezra Bussmann, Sergei Tretiak, Andrew Crandall Jones, Jian-Xin Zhu2026-06-09🔬 cond-mat.mtrl-sci