Results 141 to 150 of about 66,190 (276)
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Photoexcitation of an intramolecular charge‐transfer molecule doped into single crystals of a structurally similar host molecule results in well‐ordered, spectrally addressable, and orientation‐tunable triplet excitons that maintain coherence at elevated temperatures.
Yaoyao Han +6 more
wiley +2 more sources
Influences of the Cu Substitution at Hg Site in Hg1 - xCuxBa2Ca2Cu3O8+δ Superconductors
The influences of the Cu substitution at Hg site in the HgOd layer, upon the microstructure, Tc and oxygen content of Hg-1223 have been investigated. High temperature superconductor with a nominal composition Hg1-xCuxBa2Ca2Cu3O8 + δ for Cu ( 0 £ x £ 0.5)
M. M. Abbas
doaj
Topological Materials and Related Applications
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti +9 more
wiley +1 more source
One very interesting characteristic of the type II superconductor materials is observed in the neighborhood of the transition between normal and superconductor states, which is related with the occurrence of new transport channels of superparticles still
Jairo Roa Rojas
doaj
Advancing Energy Materials by In Situ Atomic Scale Methods
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
The densification process of Li6PS5Cl powders with varying particles size distributions reveals differences in smaller and larger distributions. Higher strain is revealed for the smaller particle size distribution from X‐ray diffraction. Discrete element method simulations uncover that the reason for the higher strain is not the particle size itself ...
Vasiliki Faka +14 more
wiley +1 more source
Experimental Analysis of Critical Current and Alternating Current Losses of High-Temperature Superconductor Tape with Resin and Gallium-Indium-Tin. [PDF]
Yu D, Sun Y, Zhang H, Meng Y, Liu H.
europepmc +1 more source
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source

