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The kagome superconductor CsVSb hosts a variety of charge density wave (CDW) phases, which play a fundamental role in the formation of other exotic electronic instabilities. However, identifying the precise structure of these CDW phases and their intricate relationships remain the subject of intense debate, due to the lack of static probes that can distinguish the CDW phases with identical spatial periodicity. Here, we unveil the out-of-equilibrium competition between two coexisting 2 × 2 × 2 CDWs in CsVSb harnessing time-resolved X-ray diffraction. By analyzing the light-induced changes in the intensity of CDW superlattice peaks, we demonstrate the presence of both phases, each displaying a significantly different amount of melting upon excitation. The anomalous light-induced sharpening of peak width further shows that the phase that is more resistant to photo-excitation exhibits an increase in domain size at the expense of the other, thereby showcasing a hallmark of phase competition. Our results not only shed light on the interplay between the multiple CDW phases in CsVSb, but also establish a non-equilibrium framework for comprehending complex phase relationships that are challenging to disentangle using static techniques.
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http://dx.doi.org/10.1038/s41467-024-51485-5 | DOI Listing |
Sci Adv
September 2025
Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543, Singapore.
The charge density wave (CDW), a charge ordering phase, offers a valuable framework for exploring electron-electron interactions, electron-phonon coupling, and quantum phase transitions. In CDW materials, carrier density substantially influences the ground state, typically altered through foreign ion doping and investigated at macro- or mesoscopic scales via photoemission or transport techniques. However, atomic-scale visualization, particularly in doped CDW systems without foreign ions, remains rare.
View Article and Find Full Text PDFACS Nano
September 2025
Department of Chemistry, University of California, Berkeley, California 94720, United States.
1-TaS is a layered charge density wave (CDW) crystal exhibiting sharp phase transitions and associated resistance changes. These resistance steps could be exploited for information storage, underscoring the importance of controlling and tuning the CDW states. Given the importance of out-of-plane interactions in 1-TaS, modulating interlayer interactions by heterostructuring is a promising method for tailoring CDW phase transitions.
View Article and Find Full Text PDFJ Biotechnol
August 2025
Econutri GmbH, Mariagrüner Straße 91, Graz A-8043, Austria. Electronic address:
Single cell protein (SCP) production has the potential for significant contribution to global protein supply. The ground-breaking approach presented here demonstrates the industrial potential of Cupriavidus necator H16, a chemolithoautotrophic bacterium uniquely capable of converting CO₂ into high quality SCP. The study, conducted in a custom 300-L pressurized deep-jet bioreactor optimized for extremely efficient gas-liquid transfer, provides crucial insights for scalable SCP production.
View Article and Find Full Text PDFPhys Rev Lett
August 2025
University of Tokyo, Department of Advanced Materials Science, Kashiwa, Chiba 277-8561, Japan.
The kagome metal CsV_{3}Sb_{5} exhibits an unusual charge-density-wave (CDW) order, where the emergence of loop current order that breaks time-reversal symmetry (TRS) has been proposed. A key feature of this CDW phase is a nonmonotonic Hall effect at low fields, often attributed to TRS breaking. However, its origin remains unclear.
View Article and Find Full Text PDFJ Chem Theory Comput
August 2025
Ruđer Bošković Institute, 10000 Zagreb, Croatia.
Understanding and controlling the charge density wave (CDW) phase diagram of transition-metal dichalcogenides are long-studied problems in condensed matter physics. However, due to the complex involvement of electron and lattice degrees of freedom and pronounced anharmonicity, theoretical simulations of the CDW phase diagram at the density-functional-theory level are often numerically demanding. To reduce the computational cost of first-principles modeling by orders of magnitude, we have developed an electronic free-energy machine learning model for monolayer NbSe that allows us to control the electronic temperature as a parameter of the model.
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