A 3-D Smith Chart Based on the Riemann Sphere for Active and Passive Microwave Circuits
Andrei A. Müller +4 more
openalex +2 more sources
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
On-Chip Microwave Sensing of Nonequilibrium Quasiparticles in α-Tantalum Superconducting Circuits on Silicon for Scalable Quantum Technologies. [PDF]
Poorgholam-Khanjari S +5 more
europepmc +1 more source
Computer-aided modeling and analysis of passive microwave and millimeter-wave high-temperature superconductor circuits and components [PDF]
Dimitrios Antsos
openalex +1 more source
Beyond Imperfect Match: Silicon/Graphite Hybrid Anodes for High‐Energy–Density Lithium‐Ion Batteries
Silicon/graphite (Si/Gr) hybrid anodes are limited by Si's large volume change and mismatch with Gr. This review offers mechanistic insights into imperfectly matched Si/Gr hybrid anodes, elucidating heterogeneous lithiation behavior and interfacial failure pathways, and thereby informing the design of durable, high‐energy–density lithium‐ion batteries.
Jing Li +6 more
wiley +1 more source
Variable-fidelity EM analysis and simplex-anchored regression surrogates for efficient global optimization of microwave passive circuits. [PDF]
Pietrenko-Dabrowska A, Koziel S.
europepmc +1 more source
Microwave Integrated Circuits Based on Spoof Surface Plasmon Polariton [PDF]
Shiban K. Koul, Somia Sharma
openalex +1 more source
Stage‐Specific Roles of Deep Eutectic Solvents in Recycling of Spent Lithium‐Ion Batteries
Deep eutectic solvents (DESs) offer tunable acidity, redox, and coordination properties for selective recycling of spent lithium‐ion battery cathodes. Through co‐dissolution, single‐ and two‐metal separations, DESs enable sustainable recovery of critical metals for closed‐loop regeneration of battery‐grade materials, advancing a circular economy for ...
Jingxiu Wang +4 more
wiley +1 more source
Cost-efficient variable-fidelity machine learning for globalized optimization of microwave structures. [PDF]
Koziel S +2 more
europepmc +1 more source

