Results 191 to 200 of about 4,387 (235)

A New Customizable Surfactant LLPS Strategy for Sustainable and Highly Efficient Radioactive Metal Ion Separation

Advanced Science, EarlyView.
A diluent‐free, customizable liquid–liquid phase separation (LLPS) platform enables highly efficient radioactive metal ion extraction and stripping. By encapsulating hydrophobic extractants into an ionic surfactant‐rich condensed phase, this LLPS system leverages synergistic electrostatic and coordination interactions.
Ruihan Yan, Yifu Hu, Wentao Wang, Zhi Cao, Meiwen Cao, Weifang Zheng, Guoan Ye, Taihong Yan   +7 more
wiley   +1 more source

Challenges and strategies for first-principles simulations of two-dimensional magnetic phenomena.

Nanoscale
Garrido Aldea J, Esteras DL, Roche S, Garcia JH.   +3 more
europepmc   +1 more source

High-performance temperature regulation of nonlinear CSTRs via a hybrid stellar oscillation optimizer and differential evolution-based PID-F control. [PDF]

Sci Rep
Ekinci S, Turkeri C, Gokalp I, Li Y, Li D.   +4 more
europepmc   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

The impact of the exponential Kernel's bandwidth parameter on learning algorithms. [PDF]

Sci Rep
Almahdawi MA.
europepmc   +1 more source

Tunable High‐Performance Metamaterial Filters Based on Novel SRR Architectures

Advanced Science, EarlyView.
Based on two novel SRR configurations and two independent SRR integration approaches, four tunable bandpass metamaterial filters were fabricated with an ultra‐thin ceramic substrate. Among them, SM‐2 achieves over 97% electromagnetic wave transmittance, with a minimal 1.15% deviation in its resonant frequency prediction, making them promising ...
Lingxi Qu, Liya Zheng, Ruopeng Liu, Chunlin Ji, Bin Li   +4 more
wiley   +1 more source

Analytical investigation of soliton propagation in conformable fractional-order transmission line metamaterials. [PDF]

Sci Rep
Almetwally EM, Zayed MA, Abo-Hashem SI, Sadat R, Mabrouk SM, Rashed AS.   +5 more
europepmc   +1 more source

Zn(C2H4NO2)2(SO2CH3NH2)2 and Zn(C2H4NO2)2[SO2(NH2)2]: Regulation of Unique ZnO(C2H4NO2)2 Units by Polar Tetrahedrons for Balanced UV Nonlinear Optical Performance

Advanced Science, EarlyView.
The modulation of polar tetrahedra enabled the synthesis of an outstanding short‐wave UV NLO crystal, Zn(C2H4NO2)2[SO2(NH2)2], which achieves a rare balance of a large bandgap (5.93 eV), high birefringence (Δn = 0.126 at 546 nm), and strong SHG response (1.36 × KDP), especially achieving excellent phase‐matching throughout the full transparency range ...
Chenjie Cui, Yuchen Yan, Xin Wen, Jindong Chen, Jiyang Wang, Zhanggui Hu, Ning Ye, Guang Peng   +7 more
wiley   +1 more source

LTiT: A Deep Learning Model for Subway Section Passenger Flow Prediction Based on LSTM-TSSA-iTransformer. [PDF]

Sensors (Basel)
Liu J, Chen Y, Li Y, Yu F.
europepmc   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source