Results 91 to 100 of about 116,446 (242)
Tracing the evolution from structural regulation to multifunctional integration, this paper systematically analyzes modification strategies for carbon‐based electrodes. It evaluates how element doping, surface functionalization, and composite material design affect the electrode performance, and offers perspectives on future applications and challenges
Yunlei Wang +4 more
wiley +1 more source
Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang +3 more
wiley +1 more source
Interleukin‐18 signaling promotes activation of hepatic stellate cells in mouse liver fibrosis
Interleukin‐18 signaling promotes activation of hepatic stellate cells in mouse liver fibrosis. Abstract Background and Aims Nucleotide‐binding oligomerization domain‐like receptor‐family pyrin domain‐containing 3 (NLRP3) inflammasome activation has been shown to result in liver fibrosis.
Jana Knorr +19 more
wiley +1 more source
A resonant frequency engineering strategy is proposed to modulate the sensibility of piezoresistive textile‐based tactile sensor. It achieves simultaneous detection of static pressure and dynamic vibrations across an unprecedented bandwidth of 5–600 Hz, surpassing human sensation, therefore enables rapid and precise braille recognition.
Xianhong Zheng +17 more
wiley +1 more source
Analysis of Multiscale Condensation Phenomena Using a Zero‐Shot Computer Vision Framework
A zero‐shot computer vision framework quantifies multiscale condensation dynamics by automatically segmenting droplets and extracting physical parameters without labeled data. The workflow integrates data mining and statistical analysis to reveal droplet growth, coalescence statistics, and sweeping behaviors, enabling label‐free measurement of heat ...
Donghyeong Lee +5 more
wiley +1 more source
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang +9 more
wiley +1 more source
Aqueous ammonium‐ion batteries leverage hydrogen‐bond‐mediated NH4+ storage in tunable transition metal compounds. Despite progress in Mn‐, V‐, Mo‐, and W‐based compounds, 2D LDHs, and MXenes, challenges like structural instability and slow kinetics persist. Future advances require robust host design, mechanistic understanding via operando studies, and
Can Li +6 more
wiley +1 more source
The critical pore spacing—approximately twenty times the pore radius—required to minimize electric field coupling is determined via finite element analysis. A multi‐layered Al2O3/Au/Si3N4 nanopore structure fabricated by helium ion beam lithography is proposed, enabling quantitative analysis of the target analyte while mitigating inter‐pore crosstalk ...
Silu Feng +5 more
wiley +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source

