Results 201 to 210 of about 6,707 (290)
Modeling of Self-Aligned Selector Based on Ultra-Thin Metal Oxide for Resistive Random-Access Memory (RRAM) Crossbar Arrays. [PDF]
Fedotov M, Korotitsky V, Koveshnikov S.
europepmc +1 more source
Perovskite Materials for Resistive Random Access Memories
Jiaqi Zhang, Wubo Li
openaire +2 more sources
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
We developed a nanoparticle named OAF, which simultaneously targeted to both the brain and liver via the transferrin receptor 1 (TfR1) receptor, promoting lipoprotein receptor‐related protein 1 (LRP1) expression to enhance amyloid‐beta (Aβ) clearance. In AD mice model, OAF significantly reduced Aβ deposition and cognitive impairment, while a mitigating
Wenshuai Gong +8 more
wiley +1 more source
An orthogonal ionic‐liquid extraction (Orth‐iEA) enables selective isolation of amyloid fibrils. TMGBF4 disrupts hydrogen‐bonded β‐sheet networks to solubilize amyloid aggregates, whereas C12ImCl interacts with hydrophobic regions of non‐amyloid proteins.
Shiying Zheng +10 more
wiley +1 more source
Sepsis‐associated encephalopathy (SAE) lacks effective therapies. We developed ME@FDsi, a biomimetic nanodrug using a tetrahedral framework nucleic acid to deliver disulfiram and siTNFα. It crosses the blood‐brain barrier, targets M1 microglia, inhibits pyroptosis and inflammation, and scavenges ROS.
Huimin Shi +15 more
wiley +1 more source
Conductive bridge random access memory
This research paper contains a background of the current memory devices and the working principles as well as their limitations. As there is a high data storage demand in the future, new emerging technology is required to increase the memory storage ...
Chia, Zong Xian
core
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
High Performance All Nonmetal SiNx Resistive Random Access Memory with Strong Process Dependence. [PDF]
Yen TJ, Chin A, Gritsenko V.
europepmc +1 more source
ARHGEF3 is broadly downregulated across human cancers and correlates with patient prognosis. Tumor‐intrinsic ARHGEF3 activates the RHOA–ROCK–PTEN cascade to inhibit AKT signaling, thereby promoting chemokine‐driven T‐cell infiltration and relieving lipid‐mediated myeloid immunosuppression.
Yue Li +8 more
wiley +1 more source

