A DFT Study on Be<sub>n</sub>(n = 10-12) Clusters with Hydrogen Storage Capacity. [PDF]
Yao C +6 more
europepmc +1 more source
III‐nitride semiconductors have revolutionized optoelectronics, enabling transformative technologies such as high‐efficiency LEDs and lasers. However, their use in intersubband optoelectronics has remained limited. This work marks an important step forward by demonstrating highly coherent inter‐well resonant tunneling injection in III‐nitride ...
Jimy Encomendero +6 more
wiley +1 more source
In Silico Models for Predicting Adsorption of Organic Pollutants on Atmospheric Nanoplastics by Combining Grand Canonical Monte Carlo/Density Functional Theory and Quantitative Structure Activity Relationship Approach. [PDF]
Wang Y +5 more
europepmc +1 more source
Monolithic Co‐Integration of Vertical FET and Memristor for 1T1R Cell
This work demonstrates a vertically integrated one‐transistor–one‐memristor (1T1R) cell by stacking a MoS2 vertical field‐effect transistor (VFET) with a mortise–tenon‐shaped (MTS) memristor. This compact architecture not only exhibits highly uniform resistive switching characteristics but also provides a strategy for constructing densely packed ...
Fubo Jiao +15 more
wiley +1 more source
Kinetics of dissolution and computational modeling of calcium oxalate monohydrate crystals in the presence of aqueous coffee bioactive extract compounds. [PDF]
Khattab ET +4 more
europepmc +1 more source
Surface‐energy guided self‐assembly of liquid metals enables the transformation of liquid metal micro/nanodroplets into continuous perocolative films on elastomeric substrates. By tailoring interfacial energetics and wetting behavior, uniform, conductive, and stretchable films are achieved, offering scalable pathways for high‐performance soft ...
Alwar Samy Ramasamy +7 more
wiley +1 more source
MC-350013 and Corylin Emerge as Promising Neuroprotective Agents through Dual Targeting of xCT and GLT-1. [PDF]
Alsikhan RS +10 more
europepmc +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
MXenes, a family of two‐dimensional transition metal carbides and nitrides, exhibit exceptional physical and chemical properties tunable through surface functionalization. This review summarizes recent advances in MXene synthesis, property modulation, and composite fabrication.
Fatemeh Saeedi +4 more
wiley +1 more source
Measuring Molecular Forces With Atomic Force Microscopy 1: Solvent Influence on Hydrophobic Interactions. [PDF]
Ponce-Gonzalez LN, Toca-Herrera JL.
europepmc +1 more source

