Results 91 to 100 of about 646,422 (296)

Ultra-stretchable and crack-resistant nonpolar organogels

Nature Communications
The inherent low polarity and weak intermolecular interactions of nonpolar media impose a fundamental thermodynamic constraint on gelation. Despite recent breakthroughs in designing highly stretchable and tough hydrogels, developing organogels that ...
Zhenkai Huang, Jianping Peng, Wei Zhang, Kan Yue, Xun Wang   +4 more
doaj   +1 more source

Gradient hydrogels based on photo-initiated polymerization-induced self-assembly

Giant
Gradient materials enable performance optimization by adjusting composition or structure across one or more dimensions while minimizing interfacial incompatibility.
Yingchu Zhou, Ziqi Liu, Yi Zeng, Li Luo, Jie Chen, Diyuan Zheng, Zhao Wu, Chao Lang   +7 more
doaj   +1 more source

ДОКАЗИ ТОЧНИХ НАУК ЩОДО ІСНУВАННЯ РОЗУМНОГО ЗАДУМУ. (EVIDENCE FROM THE EXACT SCIENCES FOR INTELLIGENT DESIGN.) [PDF]

, 2012
Визначається та обговорюється парадигма Розумного Задуму. Наводяться докази точного доопрацювання фундаментальних постійних величин та передумов стандартної моделі Великого Вибуху, яка підтримувала ідею виникнення планети, що створює умови для життя ...
Кархард , Р. (R. Carhart)
core  

Intelligence, the foundation of matter

, 2020
Between 1840 and 1864 the Austrian mystic Jakob Lorber wrote 25 volumes under divine inspiration, generally known as the New Revelation (NR). The foretelling of numerous scientific findings many years before they were actually discovered by science, lends a strong credibility to this most extraordinary work.
openaire   +1 more source

On‐Surface Indigo‐Based Bimolecular Coordination Networks with Programmable Regular or Vitreous Structure

Advanced Functional Materials, EarlyView.
A previously unreported coordination motif stabilising single Fe atoms by indigo chelation and pyridyl coordination on Au(111) has been revealed. By using planar tritopic pyridyl linkers (TPyB), extended 2D porous networks of indigo3(TPyB)2Fe6 form. These networks can be crystalline or vitreous and offer an environment where individual coordination ...
Hongxiang Xu, Ritam Chakraborty, Biao Yang, Dennis Meier, Joachim Reichert, Svetlana Klyatskaya, Mario Ruben, Shobhana Narasimhan, Johannes V. Barth, Anthoula C. Papageorgiou   +9 more
wiley   +1 more source

Photoswitching Conduction in Framework Materials

Advanced Functional Materials, EarlyView.
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez, Stefan Hecht, Wolfgang Wenzel, Lars Heinke, Mariana Kozlowska   +4 more
wiley   +1 more source

Electricity clustering framework for automatic classification of customer loads [PDF]

, 2017
Clustering in energy markets is a top topic with high significance on expert and intelligent systems. The main impact of is paper is the proposal of a new clustering framework for the automatic classification of electricity customers’ loads. An automatic
Biscarri Triviño, Félix, García Delgado, Antonio, Guerrero Alonso, Juan Ignacio, León de Mora, Carlos, Monedero Goicoechea, Iñigo Luis   +4 more
core  

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Catalytic chemical recycling and upcycling of polyolefin plastics

Giant
Polyolefins are the most produced and widely used polymeric materials. However, the chemically inert nature of polyolefins has led to severe environmental pollution, posing a threat to human sustenance and development.
Yingzi Tan, Yidan Cheng, Jiaming Xu, Haobing Wang   +3 more
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source