Results 151 to 160 of about 20,307 (216)
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Observation of super-ballistic Brownian motion in liquid. [PDF]
Boynewicz J, Thumann MC, Raizen MG.
europepmc +1 more source
The cysteine redox state of the Hendra virus W (WHeV) protein controls assembly into fibrils or amorphous aggregates, with residues 2–29 required for fibrillation. In cells, WHeV forms different types of nuclear condensates. Impaired ability to form redox‐sensitive, non‐filamentous condensates reduces WHeV inhibition of the NF‐κB pathway, while it ...
Frank Gondelaud +12 more
wiley +1 more source
Electrical Properties and Performance Enhancement of AlGaN/GaN/Si HEMTs. [PDF]
Mosbahi H, Ali MKM, Gassoumi M.
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Nanopipette-DNA-Nanopore Hybrid System for Small Molecule Detection. [PDF]
Akai H, Shoji K.
europepmc +1 more source
Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang +14 more
wiley +1 more source
A nature-inspired ion trap for parallel manipulation of ions on a massive scale. [PDF]
Krutchinsky AN, Chait BT.
europepmc +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source

