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.

Chalcogen Doping Effect on the Insulator-to-Metal Transition in GdPS

This study demonstrates that selenium substitution in GdPS enhances spin-orbit coupling and magnetic anisotropy while suppressing the field-induced insulator-to-metal transition due to an enlarged band gap, thereby elucidating the critical interplay between these factors for future materials design.

Gokul Acharya, Rabindra Basnet, Santosh Karki Chhetri, Dinesh Upreti, M. M. Sharma, Jian Wang, David Graf, Jin Hu2026-03-27🔬 cond-mat.mtrl-sci

Geometric superfluid stiffness of Kekulé superconductivity in magic-angle twisted bilayer graphene

This paper proposes that a finite-momentum pair-density-wave (PDW) state in magic-angle twisted bilayer graphene reconciles observed tunneling signatures with low-temperature superfluid stiffness suppression by generating Bogoliubov Fermi surfaces, thereby establishing a direct experimental link between zero-bias conductance and phase rigidity.

Ke Wang, Qijin Chen, Rufus Boyack, K. Levin2026-03-27🔬 cond-mat

Visualizing Millisecond Atomic Dynamics of Nanocrystals in Liquid

This study utilizes millisecond-speed liquid cell electron microscopy combined with deep-learning denoising to directly visualize reversible, environment-dependent atomic fluctuations in gold nanocrystals, revealing how transient nanoscale dynamics govern their stability and reactivity in liquid environments.

Sungsu Kang, Jinho Rhee, Joodeok Kim, Sam Oaks-Leaf, Minwoo Kim, Shengsong Yang, Chang Liu, Dongsu Kim, Sungin Kim, Binyu Wu, Won Bo Lee, David T. Limmer, A. Paul Alivisatos, Peter Ercius Jungwon Park2026-03-27🔬 cond-mat.mtrl-sci

Concerted Electron-Ion Transport by Polyacrylonitrile Elucidated with Reactive Deep Learning Potentials

This study utilizes a deep-learning potential validated by experiments to reveal that polyacrylonitrile facilitates concerted electron-ion transport through a rapid, Li+-coupled sequential ring-formation mechanism triggered by a nucleophile-initiated cyclization rate-limiting step.

Rajni Chahal-Crockett, Michael D. Toomey, Logan T. Kearney, Yawei Gao, Joshua T. Damron, Amit K. Naskar, Santanu Roy2026-03-27🔬 cond-mat.mtrl-sci

Permeation of hydrogen across graphdiyne: molecular dynamics vs. quantum simulations and role of membrane motion

This study demonstrates that while quantum effects significantly influence hydrogen permeation through graphdiyne membranes, classical molecular dynamics simulations combined with Feynman-Hibbs corrections can reliably bound these results, provided that the crucial thermal motion of the membrane is included to accurately capture the reduction in permeation barriers.

Mateo Rodríguez, José Campos-Martínez, Marta I. Hernández2026-03-27🔬 physics

Engineering Nonlinear Optical Responses via Inversion Symmetry Breaking in Bilayer Bi2Se3

This study demonstrates that breaking inversion symmetry in centrosymmetric bilayer Bi2_2Se3_3 via twisting, point-defect insertion, or external electric fields unlocks strong, broadband nonlinear optical responses comparable to benchmark 2D materials, thereby enabling efficient THz applications and next-generation 2D photovoltaics.

Vineet Kumar Sharma, Alana Okullo, Barun Ghosh, Arun Bansil, Sugata Chowdhury2026-03-27🔬 cond-mat.mtrl-sci

Suppression of Metallic Transport in Nitrogen-rich Two-Dimensional Transition Metal Nitrides

This study combines experimental transport measurements and first-principles calculations to demonstrate that high nitrogen content in two-dimensional transition metal nitrides induces a metal-to-semimetal transition and disorder-driven transport mechanisms at low temperatures, while also revealing a thickness-dependent switching of majority carrier types.

Hongze Gao, Da Zhou, Nguyen Tuan Hung, Chengdong Wang, Zifan Wang, Ruiqi Lu, Yuxuan Cosmi Lin, Jun Cao, Michael Geiwitz, Gabriel Natale, Kenneth S. Burch, Xiaofeng Qian, Riichiro Saito, Mauricio Terro (…)2026-03-27🔬 cond-mat.mtrl-sci

The ground state of CuInP2_2S6_6 thin films: A study of the deep potential method

By combining first-principles calculations with the deep potential method, this study resolves the discrepancy between experimental observations and DFT predictions for CuInP2_2S6_6 thin films by demonstrating that vibrational entropy stabilizes a ferrielectric ground state with intralayer ferroelectric ordering at finite temperatures.

Shengxian Li, Jiaren Yuan, Tao Ouyang, Anlian Pan, Mingxing Chen2026-03-27🔬 cond-mat.mtrl-sci