Results 201 to 210 of about 636,159 (270)

Making Photoresponsive Metal–Organic Frameworks an Effective Class of Heterogeneous Photocatalyst

Advanced Functional Materials, EarlyView.
This review summarizes photoresponsive MOFs for photocatalytic applications, focusing on their capacity to enhance light harvesting, charge transfer, and surface reactions. While existing studies provide foundational insights, emerging characterization techniques enable a deeper understanding of photoresponsive MOFs.
Rui Liu, Hao Wu, Hoi Ying Chung, Yun Hau Ng   +3 more
wiley   +1 more source

Coupling Taguchi experimental designs with deep adaptive learning enhanced AI process models for experimental cost savings in manufacturing process development. [PDF]

Sci Rep
Zubair SWH, Arafat SM, Khan SA, Niazi SG, Rehan M, Arshad MU, Hayat N, Aized T, Uddin GM, Riaz F.   +9 more
europepmc   +1 more source

Scaling‐Up of Structural Superlubricity: Challenges and Opportunities

Advanced Functional Materials, EarlyView.
At increasing length‐scales, structural superlubricity (SSL) faces challenges from physical and chemical energy dissipation pathways. This study reviews recent experimental and theoretical progress on these challenges facing the scaling‐up of SSL, as well as perspectives on future directions for realizing and manipulating macroscale superlubricity ...
Penghua Ying, Xiang Gao, Diana Berman, Oded Hod, Michael Urbakh   +4 more
wiley   +1 more source

Autonomous Parameter Balance in Population-Based Approaches: A Self-Adaptive Learning-Based Strategy. [PDF]

Biomimetics (Basel)
Vega E, Lemus-Romani J, Soto R, Crawford B, Löffler C, Peña J, Talbi EG.   +6 more
europepmc   +1 more source

An Adaptive Learning Image Denoising Algorithm Based on Eigenvalue Extraction and the GAN Model. [PDF]

Comput Intell Neurosci, 2022
Wang F, Xu Z, Ni W, Chen J, Pan Z.
europepmc   +1 more source

Photoswitchable Conductive Metal–Organic Frameworks

Advanced Functional Materials, EarlyView.
A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu, Mersad Mostaghimi, Abhinav Chandresh, Saibal Jana, Wolfgang Wenzel, Lars Heinke   +5 more
wiley   +1 more source

Machine Learning-Based Boosted Regression Ensemble Combined with Hyperparameter Tuning for Optimal Adaptive Learning. [PDF]

Sensors (Basel), 2022
Isabona J, Imoize AL, Kim Y.
europepmc   +1 more source

Role of Pressure and Expansion on the Degradation in Solid‐State Silicon Batteries: Implementing Electrochemistry in Particle Dynamics

Advanced Functional Materials, EarlyView.
A simulation technique for assessing both the fabrication and operation of a solid‐state Si battery is demonstrated by integrating particle dynamics with mass/charge transport. Although, the fabrication pressure (Pfab) increased the inter‐particle contacts and reduced the concentration (ηconc) and Li‐ion (ηLi+) overpotentials during discharging, it ...
Magnus So, Takeru Yano, Agnesia Permatasari, Van Lap Nguyen, Gen Inoue   +4 more
wiley   +1 more source

The Irish national chronic obstructive pulmonary disease quality improvement collaborative: an adaptive learning collaborative. [PDF]

BMJ Open Qual
Woods O, MacDonell R, Brennan J, Prihodova L, Cushen B, Costello RW, McDonnell TJ.   +6 more
europepmc   +1 more source