Results 101 to 110 of about 61,587 (258)

Engineered Xenogeneic Bone Scaffold with IL‐10 Nanodelivery System: Immunomodulation and BMSC Fate Programming for Skull Defect Repair

Advanced Science, EarlyView.
A multifunctional regenerative composite is constructed by 3D‐printing thermosensitive PNIPAM hydrogel embedded with MPDA@IL‐10 nanoparticles and autologous BMSCs onto antigen‐depleted porcine bone matrix for beagle critical‐sized skull defect reconstruction.
Weihao Lv, Lei Zhang, Fei Fei, Zhibin Wu, Xiuquan Wu, Ya‐nan Dou, Yihao Fu, Hao Chang, Yujie Qiang, Huaxia Xie, Ni An, Leiying Chen, Hongchen Zhang, Min‐Wen Zheng, Hongqing Chen, Xia Li, Zhou Fei   +16 more
wiley   +1 more source

Development of electrode and electrolyte materials for solid-state batteries based on Li1.3Al0.3Ti1.7(PO4)3

Nano Express
The dependence of the electrochemical characteristics of a layered cathode material containing LiNi _0.5 Mn _0.3 Co _0.2 O _2 on the method for applying a protective layer of nanoparticles of the lithium-conducting material Li _1.3 Al _0.3 Ti _1.7 (PO4 ...
I Lisovskyi, V Barsukov, S Solopan, A Belous, V Khomenko, N Stryzhakova, Y Maletin   +6 more
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Supramolecular Protection–Deprotection for Switching Pore‐Surface Functionality in a Crystalline Porous Organic Salt

Angewandte Chemie, EarlyView.
A supramolecular protection–deprotection strategy temporally separates the framework construction from pore‐surface activation in a porous organic salt. In Form I, phenolic OH groups are protected by DMSO, enabling framework formation. Stepwise single‐crystal‐to‐single‐crystal phase transformation (SCSC) affords a dormant intermediate (Form II ...
Kazuki Shiga, Ryota Yamazaki, Hajime Shigemitsu, Yuuya Nagata, Norimitsu Tohnai   +4 more
wiley   +2 more sources

Donor–Acceptor Covalent Organic Framework Enables Ambipolar Charge Storage in Aluminum‐Ion Energy Storage

Advanced Energy Materials, EarlyView.
A donor–acceptor covalent organic framework is designed as an ambipolar cathode for aluminum‐ion energy storage. The crystalline, microporous architecture enables intrinsic charge transport without conductive additives. Multi‐electron redox activity at donor and acceptor sites supports high capacity, excellent stability, and efficient reversible ...
Cataldo Valentini, Verónica Montes‐García, Wojciech Kukułka, Saira Sarwar, Michał Bielejewski, Mateusz Wlazło, Rossella Greco, Viktorija Pankratova, Ignacio Pérez‐Juste, Dawid Pakulski, Paolo Samorì, Artur Ciesielski   +11 more
wiley   +1 more source

Crosslinking of Linear Polyimines Into Aminal‐Linked Porous Organic Polymers for C2 Hydrocarbon/Methane Separation

Angewandte Chemie, EarlyView.
Crosslinking of linear polyimines with aromatic diamines via nucleophilic addition converts nonporous polyimine precursors into aminal‐linked porous networks, offering a new strategy for synthesizing porous organic polymers. The resulting materials exhibit high C2 hydrocarbon adsorption capacity, excellent selectivity over CH4, and durable cyclic ...
Xuejie Li, Yayu Yan, Qiaohong Li, Michelle Åhlén, Chao Xu   +4 more
wiley   +2 more sources

Challenges and enablers in fluidization technology

AIChE Journal, EarlyView.
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley   +1 more source

Structured sorbents for Direct Air Capture: The impact of materials and chemicals on performance

AIChE Journal, EarlyView.
Abstract Structured sorbents can efficiently process large air volumes required for Direct Air Capture (DAC), but their broad implementation is limited by challenges in producing reproducible and homogeneous materials. This work presents a robust procedure to graft amines onto monolithic sorbents and systematically investigates how CO2$$ {\mathrm{CO ...
Nicole Ferru, Moritz Bischof, Martina Saporito, David Büchner, Quirin Grossmann, Vincent Dufour‐Décieux, Ronny Pini, André Bardow, Marco Mazzotti   +8 more
wiley   +1 more source

A New Switchable Zr12 Oxocluster Based Large Pore Metal–Organic Framework Functionalized With Spin Crossover Complexes for Acetic Acid Colorimetric Sensing

Angewandte Chemie, EarlyView.
We present here (1)⊂MIP‐216(Zr), a new hybrid material composed of an FeII spin crossover complex (1) loaded in the pores of a new hydrophobic metal–organic framework (MIP‐216(Zr), that presents a high affinity toward acetic acid and acts as a highly sensitive colorimetric sensor of acetic acid vapor due to a spin state switching of the encapsulated ...
Emmelyne Cuza, Chenchen Cao, Abeer Mohtar, Mohammad Wahiduzzaman, William Shepard, Guillaume Maurin, Moises L. Pinto, Christian Serre, Antoine Tissot   +8 more
wiley   +2 more sources

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source