3499 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.
This paper introduces efficient quantum circuits for fermionic excitation operators on ion trap quantum computers that leverage the global Mølmer-Sørensen interaction to achieve optimal parallelism, reducing gate counts by factors of 2 and 4 for single and double excitations respectively, thereby significantly improving speed and error performance.
This study synthesizes and characterizes eight (Sb,Bi)(S,Se)(Br,I) chalcohalide compounds via physical vapor deposition, revealing tunable bandgaps and efficient photoluminescence while establishing structure-property relations through experimental carrier dynamics analysis and DFT calculations to guide their optimization for optoelectronic applications.
This study demonstrates that increasing the interlayer twist angle in carbon and boron nitride Moiré diamanes significantly reduces in-plane lattice thermal conductivity and enhances band gap renormalization due to structural disorder and quantum nuclear effects, thereby offering a viable strategy for tuning their thermal and electronic properties for advanced applications.
This study demonstrates that Raman optical activity, traditionally associated with chiral or magnetic systems, can arise in centrosymmetric and non-magnetic ferroaxial crystals like NiTiO due to ferroaxial order, establishing it as a powerful probe for such domains.
This paper introduces a gradient-optimized neuroevolution potential (GNEP) framework that leverages analytical gradients and the Adam optimizer to achieve orders-of-magnitude faster training and rapid convergence while maintaining high accuracy and transferability for large-scale molecular dynamics simulations of Sb-Te materials.
This study utilizes temperature-dependent Raman and photoluminescence spectroscopy on encapsulated selenium thin films to demonstrate that short-range structural disorder and grown-in stress, rather than being intrinsic, are highly sensitive to processing variations and act as dominant non-radiative recombination centers that limit photovoltaic performance, thereby highlighting the critical need for precise synthesis control to optimize selenium-based solar technologies.
This paper demonstrates scalable, energy-efficient oxide-interface-based polymorphic electronic devices capable of reconfiguring between transistor, memristor, and memcapacitor functionalities to enable advanced neuromorphic computing applications such as reservoir computing, synaptic plasticity, and complex decision-making tasks.
This paper demonstrates that X-ray magnetic circular dichroism (XMCD) can arise in collinear altermagnets like -MnTe under trigonal crystal fields through the anisotropic magnetic dipole operator driven by quadrupolar spin distributions, providing theoretical benchmarks for detecting these zero-net-magnetization systems via orbital symmetry and magnetic anisotropy.
This study demonstrates that cation substitution and crystal symmetry in inorganic antiperovskite nitrides () critically govern nonradiative recombination dynamics, with hexagonal achieving the longest carrier lifetimes through a synergistic balance of reduced nonadiabatic coupling and enhanced dephasing.
Using femtosecond noise correlation spectroscopy and simulations, this study demonstrates that external magnetic fields can effectively tune ultrafast magnetization fluctuations in SmErFeO by stiffening the potential landscape, thereby suppressing spin noise and enhancing magnon frequencies.