cond-mat.mtrl-sci 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.

🔬 materials science

Unraveling the defect landscape of wide-bandgap perovskites from electrical and photoelectrical characterization of thin films and solar cells

By integrating electrical and photoelectrical characterization techniques with advanced numerical simulations, this study deciphers the defect landscape of wide-bandgap perovskite thin films, distinguishing between mobile ionic defects and recombination-active electronic states to reveal their specific energy distributions, concentrations, and mobilities.

L. Kopprio, J. Caram, S. Le Gall, F. Ventosinos, L. Gil-Escrig, H. J. Bolink, J. Alvarez, C. Longeaud, J-P. Kleider, J. (…)2026-07-23

🔬 materials science

Computer Simulation of the Growth of a Metal-Organic Framework Proto-crystal at Constant Chemical Potential

This study employs constant chemical potential simulations to reveal that the growth of ZIF-8 metal-organic frameworks proceeds via non-classical mechanisms involving oligomer attachments, where higher reactant concentrations and temperatures promote defect formation and suggest an adsorption-controlled growth regime.

Sahar Andarzi Gargari, Emilio Méndez, Rocio Semino2026-07-23

🔬 materials science

Ab initio Phase Diagram of Ta2O5

Using first-principles calculations, this study establishes a comprehensive pressure-temperature phase diagram for Ta2O5, revealing that zero-point energy significantly influences phase stability and induces a re-entrant transition between Gamma and B-Ta2O5, while also proposing a universal criterion based on the Debye temperature to assess nuclear quantum effects in complex oxides.

Yan Gong, Huimin Tang, Yong Yang, Yoshiyuki Kawazoe2026-07-23

🔬 materials science

Reactive Coarse Grained Force Field for Metal-Organic Frameworks applied to Modeling ZIF-8 Self-Assembly

This paper introduces a reactive coarse-grained force field (nb-CG-ZIF-FF) derived via multiscale methods that successfully models the self-assembly and structural evolution of ZIF-8 by learning connectivity from many-body correlations, thereby overcoming atomistic simulation size limitations and offering a generalizable framework for studying MOF formation and dynamics.

Sangita Mondal, Cecilia M. S. Alvares, Rocio Semino2026-07-23

🔬 condensed matter

Optical Magnetic Switching in Odd-Parity Magnets with Spin-Orbit Coupling

This paper demonstrates that elliptically or circularly polarized light can dynamically switch zero-net-magnetization odd-parity magnets (such as $p$ -wave and $f$ -wave states) into finite spin-polarized states with controllable Chern numbers, offering a promising optical route for spintronics and quantum information applications.

SangEun Han, Qiang Li2026-07-23

🔬 materials science

Photoemission from Semi-Infinite Crystals: An \emph{Ab Initio} Scattering-State Approach

This paper presents a parameter-free *ab initio* framework that overcomes the limitations of periodic boundary conditions in photoemission calculations by constructing open scattering states for semi-infinite crystal-vacuum interfaces, enabling accurate predictions of absolute quantum efficiency and vectorial photoemission for materials like Ag(111).

Tyler Wu, Truman Idso, Siddharth Karkare, Tomás Arias2026-07-23

🔬 materials science

Macroscopic Polarization and Magnetization from Cavity Vacuum Fluctuations

This paper demonstrates that cavity vacuum fluctuations can induce macroscopic polarization and magnetization in materials lacking these properties in free space by leveraging symmetry principles to enable quantum electrodynamical control of material responses.

Jingkai Quan, Chongxiao Fan, Benshu Fan, I-Te Lu, Dante M. Kennes, Angel Rubio2026-07-23

🔬 materials science

Nitrospinics as a platform from orbital-torque memory to artificial intelligence

This paper proposes "Nitrospinics," a new framework leveraging the unique properties of nitride materials, exemplified by the 2D MXene Cr2N, to enable energy-efficient orbital-torque spintronic devices and artificial intelligence hardware.

Prabhat Kumar, Gaurav Kumar Shukla, Yoshio Miura, Shinji Isogami2026-07-23

🔬 materials science

Synergistic Interface Stability and High Room-Temperature Ionic Conductivity for Wide-Temperature All-Solid-State Batteries Based on Li6+xSixSb1-xS5I Electrolytes

This study presents a novel Si-doped Li6.6Si0.6Sb0.4S5I iodide argyrodite electrolyte that achieves high room-temperature ionic conductivity (9.9 mS cm⁻¹) and enables stable, wide-temperature all-solid-state batteries with a LiNbO3-coated cathode, overcoming key interfacial and thermal challenges for next-generation energy storage.

Liang Ming, Qizhiran Sun, Guanping Xu, Muqing Su, Enyan Zhao, Wenzhe Gu, Weng-Fu Io, Kwun Nam Hui, Chuang Yu, Hai-Feng L (…)2026-07-23

🔬 materials science

Analytical Retrieval of Material Parameters in Monolayer Transition-Metal Dichalcogenides Based on a Solvable Exciton Model

This paper presents an efficient, two-stage analytical framework based on a solvable modified Kratzer model to retrieve fundamental material parameters of monolayer transition-metal dichalcogenides directly from optical and magneto-optical exciton spectra, enabling the accurate prediction of excitonic properties without the need for numerical fitting or matrix diagonalization.

Duy-Nhat Ly, Thanh-Son Nguyen, Ngoc-Tram D. Hoang, Van-Hoang Le2026-07-23

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