Results 201 to 210 of about 1,062,639 (299)

Anastomotic leakage increases the risk of major low anterior resection syndrome 3 years after rectal cancer surgery. [PDF]

open access: yesColorectal Dis
Gerdin A   +8 more
europepmc   +1 more source

Engineering Intelligent Graphene Oxide‐Cellulose Membranes: Suppressing Thermal Runaway for a Safer Aqueous Zinc‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
A novel thermos‐responsive hydroxypropyl cellulose/graphene oxide (HPC/GO) composite membrane is fabricated for reversible temperature‐gated ion transport in aqueous zinc‐ion batteries. Enabled by LCST‐driven structural transition, unimpeded ion diffusion at room temperature delivers high capacity, while elevated temperature suppresses transport; full ...
Xueli Bi   +9 more
wiley   +1 more source

Memristor‐Driven Active‐Matrix Organic Light‐Emitting Diode for Energy Efficient and High‐Resolution Displays

open access: yesAdvanced Functional Materials, EarlyView.
This study demonstrates that memristors can replace conventional 2T–1C driving circuits with simplified 1T–1 m architectures by exploiting resistance switching. With ultra‐low switching voltages (< ±0.2 V) and multi‐level resistance states, the memristors precisely control the current injected into organic light‐emitting diodes (OLEDs).
Dong Hyun Kim   +6 more
wiley   +1 more source

Efficient Membranes Made of a Nanohybrid of Fluorine‐Doped Carbon Dots Coupled With Metal Organic Framework for High‐Performance Vanadium Redox Flow Battery

open access: yesAdvanced Functional Materials, EarlyView.
A sulfonated poly(ether ether ketone)‐based hybrid membrane is fabricated with fluorine‐doped carbon dot (FCD) and functionalized metal organic framework (MIL−101−NH2). The novel design reduces unwanted ion crossover while maintaining a sufficient proton transport pathway.
Tan Trung Kien Huynh   +8 more
wiley   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy