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

Material-Property-Field-based Deep Neural Network in Hopfield Framework

This paper introduces mPFDNN, an analytically tractable deep neural network framework that integrates Material Property Fields with Hopfield network dynamics to overcome the interpretability limitations of traditional DNNs by rigorously respecting physical symmetries and enabling principled structure-property mapping across diverse material systems.

Yanxiao Hu, Ye Sheng, Caichao Ye, Wenxing Qian, Xiaoxin Xu, Yabei Wu, Jiong Yang, William A. Goddard III, Wenqing Zhang2026-03-11
🔬 materials science

DFT calculations of magnetocrystalline anisotropy energy with fixed spin moment

This paper demonstrates that the fully relativistic fixed spin moment (FR-FSM) method reconciles discrepancies in magnetocrystalline anisotropy energy (MAE) calculations arising from different exchange-correlation potentials and provides a framework for estimating maximum MAE values to guide the design of new-generation permanent magnets.

Justyn Snarski-Adamski (Institute of Molecular Physics, Polish Academy of Sciences, Poznan, Poland), Joanna Marciniak (I (…)2026-03-11
🔬 materials science

Bulk magnetic properties of distorted square lattice compounds M'-LnTaO4 (Ln = Tb, Dy, Ho, Er)

This study investigates the bulk magnetic properties of distorted square lattice compounds M'-LnTaO4 (Ln = Tb, Dy, Ho, Er), utilizing powder neutron diffraction and specific heat measurements to confirm the crystal structure, identify long-range antiferromagnetic order in TbTaO4 below 2.1 K, observe short-range ordering in DyTaO4, and establish a Kramers doublet ground state in ErTaO4.

Nicola D. Kelly, Ivan da Silva, Siân E. Dutton2026-03-11
🔬 materials science

Comprehensive structural and optical analysis of differently oriented Yb-implanted β\beta-Ga2_2O3_3

This study investigates the structural damage and optical properties of Yb-implanted β\beta-Ga2_2O3_3 across three crystal orientations, revealing that while (010)-oriented samples exhibit the least defects and compressive stress, the other orientations display higher defect levels that surprisingly enhance Yb3+^{3+} luminescence.

Joanna Matulewicz, Renata Ratajczak, Mahwish Sarwar, Ewa Grzanka, Vitalii Ivanov, Damian Kalita, Cyprian Mieszczynski, P (…)2026-03-11
🔬 materials science

Pressure-Induced Structural and Magnetic Evolution in Layered Antiferromagnet YbMn2_2Sb2_2

This study reveals that applying pressure to the layered antiferromagnet YbMn2_2Sb2_2 induces a structural phase transition near 3.5 GPa and a semiconductor-to-metal transition above 5 GPa, driven by band gap closure and the stabilization of unconventional magnetic states characterized by short-range spin pairing and incommensurate antiparallel correlations.

Mingyu Xu, Matt Boswell, Aya Rutherford, Cheng Peng, Ying Zhou, Shuyang Wang, Zhaorong Yang, Antonio M. dos Santos, Haid (…)2026-03-11
🔬 materials science

Application of dual-tree complex wavelet transform for spectra background reduction

This paper introduces a universal Dual-Tree Complex Wavelet Transform (DTCWT) method for removing spectral backgrounds in experimental data, demonstrating its superior signal preservation and reduced bias compared to traditional fitting or Fourier-based techniques through applications on X-ray powder diffraction and photoluminescence spectra.

Kazimierz Skrobas, Kamila Stefanska-Skrobas, Cyprian Mieszczynski, Renata Ratajczak2026-03-11