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.

Size-dependent transformation patterns in NiTi tubes under tension and bending: Stereo digital image correlation experiments and modeling

This study investigates the size-dependent transformation patterns in superelastic NiTi tubes under tension and bending using high-resolution stereo digital image correlation and gradient-enhanced modeling, revealing that the outer diameter and wall-thickness ratio govern the morphology of martensite bands through the competition between bulk and interfacial energies.

Aslan Ahadi, Elham Sarvari, Jan Frenzel, Gunther Eggeler, Stanisław Stupkiewicz, Mohsen Rezaee-Hajidehi2026-03-27🔬 cond-mat.mtrl-sci

Adhesive strength of bio-inspired fibrillar arrays in the presence of contact defects

This study uses numerical simulations to demonstrate that while edge defects in bio-inspired fibrillar adhesives merely reduce effective contact area and preserve the standard adhesion scaling law, central defects fundamentally alter detachment mechanics by promoting uniform load sharing and reducing sensitivity to system compliance.

Agostinelli Daniele, Shojaeifard Mohammad, Bacca Mattia2026-03-27🔬 cond-mat.mtrl-sci

Intrinsic structure of relaxor ferroelectrics from first principles

This paper introduces the FIRE-Swap first-principles framework, which utilizes machine-learning interatomic potentials to reveal that lead magnesium niobate (PMN) possesses a unique rock-salt-like chemical order and interconnected polar nanoregions within Nb clusters, providing a mesoscale explanation for its relaxor ferroelectricity that distinguishes it from PZT and PST.

Xinyu Xu, Kehan Cai, Yubai Shi, Peichen Zhong, Pinchen Xie2026-03-27🔬 cond-mat.mes-hall

Mechanical Detuning of Exciton-Phonon Resonance in WS2

This study demonstrates that applying mechanical biaxial strain to WS2 can effectively tune exciton-phonon resonance, enabling controlled transitions between resonant and non-resonant Raman scattering at a fixed laser energy by red-shifting the B exciton by 180 meV.

Álvaro Rodríguez, Carmen Munuera, Andres Castellanos-Gomez2026-03-27🔬 cond-mat.mes-hall

The Impact of Magnons, Defects, and Rapid Energy Migration on the Optical Properties of the 2D Magnet CrPS4

This study reveals that the complex optical fine structure of the 2D magnet CrPS4 arises primarily from exchange-mediated coupling between on-site spin-flip transitions and lattice magnons, leading to well-resolved magnon sidebands and sub-picosecond energy migration that offers new avenues for optically controlling spin-wave excitations in van der Waals magnets.

Jacob T. Baillie, Eden Tzanetopoulos, Rachel T. Smith, Remi Beaulac, Daniel R. Gamelin2026-03-27🔬 cond-mat.mtrl-sci

On the Boroxol Ring Fraction in Melt-Quenched B $_2$ O $_3$ Glass

This study develops a DFT-accurate machine-learned potential and utilizes deep potential molecular dynamics with slow quench rates and extended geometry descriptors to successfully generate B $_2$ O $_3$ glass models containing over 30% boroxol rings, revealing that the energy-minimized boroxol fraction of 75% closely matches experimental estimates.

Debendra Meher, Nikhil V. S. Avula, Sundaram Balasubramanian2026-03-27🔬 cond-mat.mtrl-sci

Cyclic- and helical-symmetry-adapted phonon formalism within density functional perturbation theory

This paper presents a first-principles framework based on density functional perturbation theory that adapts phonon calculations for nanostructures with cyclic and helical symmetry, demonstrating high accuracy and physical consistency through applications to carbon nanotubes.

Abhiraj Sharma, Phanish Suryanarayana2026-03-27🔬 cond-mat.mtrl-sci

Twist-induced Out-of-plane Ferroelectricity in Bilayer Hafnia

This study predicts that twisting bilayer 1T-HfO2 induces robust, switchable out-of-plane ferroelectricity with a low energy barrier, offering a scalable 2D platform for next-generation memory and logic devices.

Jian Huang, Gwan Yeong Jung, Pravan Omprakash, Guodong Ren, Xin Li, Du Li, Xiaoshan Xu, Li Yang, Rohan Mishra2026-03-27🔬 cond-mat.mtrl-sci

How unconstrained machine-learning models learn physical symmetries

This paper introduces rigorous metrics to analyze how unconstrained machine learning models learn physical symmetries, demonstrating that strategically injecting minimal inductive biases can achieve superior stability and accuracy while preserving the scalability of unconstrained architectures.

Michelangelo Domina, Joseph William Abbott, Paolo Pegolo, Filippo Bigi, Michele Ceriotti2026-03-27🤖 cs.LG

Probing picosecond depairing currents in type-II superconductors

This study demonstrates that ultrafast picosecond electrical pulses can bypass vortex motion and self-heating limitations to access the intrinsic depairing current density in type-II superconductors, revealing distinct microscopic dynamics in s-wave NbN and d-wave YBCO that are inaccessible to conventional DC measurements.

E. Wang, M. Chavez-Cervantes, J. Satapathy, T. Matsuyama, G. Meier, X. Zhang, L. You, F. Marijanovic, J. B. Curtis, E. Demler, A. Cavalleri2026-03-27🔬 cond-mat

← Previous Next →

cond-mat.mtrl-sci