Enhancing shear strength predictions of UHPC beams through hybrid machine learning approaches
Performance comparison of the employed model The performance of the hybrid machine learning models—GOA-XGB, SHO-XGB, and LSA-XGB for…
Flatland wakes based on leaky hyperbolic polaritons
Zhang, Q. et al. Interface nano-optics with van der Waals polaritons. Nature 597, 187–195 (2021). CAS PubMed Google…
Observation of non-Hermitian topology from optical loss modulation
Ozawa, T. et al. Topological photonics. Rev. Mod. Phys. 91, 015006 (2019). CAS Google Scholar Price, H. et…
Enhancing interlayer exciton dynamics by coupling with monolithic cavities via the field-induced Stark effect
Electrically tunable cavity-coupled IXs Several TMDC combinations provide type-II alignments with IXs3,6. In our work, we chose MoSe2/WSe2…
Exploiting strained epitaxial germanium for scaling low-noise spin qubits at the micrometre scale
Heterostructure growth The Ge/SiGe heterostructure material is grown using reduced-pressure chemical vapour deposition in an ASMI Epsilon 2000…
Chinese inscription restoration based on artificial intelligent models
Related technologies and practices Machine learning is a branch of artificial intelligence, whose goal is to make computers…
A Hall lot of effects
The Hall effect has been a powerful probe of the physics of materials for more than a century.…
Enhanced Quantum Computers and Beyond: Exploring Magnons with Superconducting Qubits
Newswise — Devices taking advantage of the collective quantum behavior of spin excitations in magnetic materials – known…