Results 41 to 50 of about 198 (143)
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis +5 more
wiley +1 more source
Long‐Range Interactions in Topological Superconducting Systems: A Mini Review
Long‐range interacting quantum systems are surveyed in this review, with an emphasis on the long‐range topological superconductor and its variants. Long‐range interactions decaying in a power‐law manner can lead to exotic phenomena that finds no analogue in short‐range regimes.
Juntong Ren, Haifeng Lü
wiley +1 more source
Moiré Folded Helical States at the Interfaces of Heterostructures
This manuscript explores a minimal ladder model of a graphene‐topological‐insulator heterostructure where moiré superlattices modulate Rashba spin‐orbit coupling. The study reveals that SOC lifs spin degeneracy, halves spectral periodicity, and induces “helicity fragmentation” across moiré minibands.
Paula Mellado
wiley +1 more source
Topological Learning for the Classification of Disorder: An Application to the Design of Metasurfaces. [PDF]
Madeleine T +8 more
europepmc +1 more source
Guiding and Manipulating Light Fields in Microstructured Liquid Crystals
This review summarizes recent advances in guided‐wave optics enabled by microstructured liquid crystal (LC) devices, covering their fundamental material properties, key degree of freedom for dynamic light field manipulations. The advances of linear guided‐wave optics, nonlinear‐optics with spatial optical solitons, and microlasers in LC‐based devices ...
Shan‐shan Chang +2 more
wiley +1 more source
ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal +6 more
wiley +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
Nitrogen/sulfur co‐doping optimizes the electron and spatial structure of biomass‐derived hard carbon, and the anode demonstrates superior long‐term cycling stability over 2000 cycles, validating an improved “adsorption‐intercalation‐pore filling” mechanism.
Qian Long +8 more
wiley +1 more source
On the Structural Evolution Mechanism of Lignin‐Derived Hard Carbon for Refining Sodium‐Ion Storage
The lignin‐derived hard carbons with different microstructures were prepared under different carbonization temperature (600°C–1600°C) and carbonization time (0–6 h). The correlation between the local structure of all hard carbons and sodium‐ion storage performance was statistically analyzed. The optimized hard carbon anode has high‐rate performance and
Lei Zhong +6 more
wiley +1 more source

