Results 51 to 60 of about 3,217 (234)
Engineering Microbial Particles for Next‐Generation Biomedical Platforms
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li +7 more
wiley +1 more source
CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su +5 more
wiley +1 more source
Sheet‐Size‐Dependent Mosaicity of 2D Phyllosilicate Membranes
This study explores how the size of 2D vermiculite sheets affects the structure of laminar membranes. High‐resolution x‐ray diffraction reveals how sheet size governs structural disorder and crystallinity. These changes directly impact ion permeability.
Min A Kim +6 more
wiley +1 more source
Morphological anisotropy directs the in vivo transport under physiological flow and clearance of silica nanocarriers. Increasing anisotropy reduces cellular uptake, suppresses hepatic and splenic sequestration, and prolongs systemic circulation by steering particles toward the central flow core.
Xiaofei Li +11 more
wiley +1 more source
Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders
BOND‐PEP enables controllable, sequence‐first peptide binder design by grounding generation in binding evidence retrieved for each target. It uses topology‐conditioned message passing to integrate relevant peptide examples with the target protein sequence, forming a residue‐level representation that guides the generation of diverse, target‐specific ...
Wenze Ding
wiley +1 more source
Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley +1 more source
Disorder Driven Anisotropic Nonlinear Hall Effect in the Kagome Metal YbCo6Ge6 at Room Temperature
The intrinsic structural disorder and short‐range correlated motifs in the kagome metal YbCo6Ge6 constitute the primary mechanism for a robust and anisotropic nonlinear Hall effect (NLHE). This effect is sustained across a wide temperature range, achieving a nonlinear responsivity of up to ∼4.5 × 10−3 m/V at 70 K, higher than known disordered and ...
Qurat Ul Ain +11 more
wiley +1 more source
This review summarizes the pathogenic role of mitochondria in diseases and highlights mitochondrial transfer and transplantation as emerging therapeutic strategies. It systematically discusses how nanomaterials are engineered to facilitate these processes, and critically examines the current challenges and future perspectives for their clinical ...
Yuanyuan Su +9 more
wiley +1 more source
Colossal Magnetic‐Field‐Induced Anomalous Hall Conductivity in a Kagome Antiferromagnet YMn6Sn6
Magnetic‐field‐driven spin canting in the kagome antiferromagnet YMn6Sn6${\rm YMn}_6{\rm Sn}_6$ reshapes flat and Dirac bands near the Fermi level, redistributing Berry curvature and producing colossal anomalous Hall conductivity. The study reveals how magnetic configuration and clean‐limit skew scattering cooperate to amplify Hall transport, offering ...
Minhyuk Choi +9 more
wiley +1 more source
On the Flexible Neo-Normal MSAR MSN-Burr Control Chart in Air Quality Monitoring
Air quality significantly influences human health and the environment, necessitating a robust monitoring to detect abnormalities. This paper aims to develop a new model to accurately capture air quality data’s structural changes and asymmetrical patterns.
Dwilaksana Abdullah Rasyid +2 more
doaj +1 more source

