Results 131 to 140 of about 16,008 (226)

Biomimetic Gradient Hydrogels Regulate Osteochondral Regeneration Microenvironment Remodeling via Spatiotemporal Programming Engineering

Advanced Science, EarlyView.
Electric field‑driven continuous gradient hydrogel GHZF4 achieves spatiotemporal growth factor release, modulates immune microenvironment, angiogenesis and osteochondral differentiation. It realizes cell‑free functional osteochondral repair in rat/rabbit models, offering a promising biomimetic strategy for gradient tissue regeneration.
Xiaolian Niu, Shengzhao Xiao, Di Huang, Xuesong Wang, Yanwei Cao, Xiaodan Sun, Nicholas Dunne, Xiaoming Li   +7 more
wiley   +1 more source

New inventory of glaciers in Tajikistan from 3 m PlanetScope imagery (2024): the Tajikistan Glacier Inventory (TGI). [PDF]

Sci Data
Li R, Li J, Gulayozov M, Safarov M, Halimov A.   +4 more
europepmc   +1 more source

3D MXene Aerogel Frameworks With In Situ‐Grown BiFeO3 for Synergistically Enhanced Thermoelectric Performance

Advanced Electronic Materials, EarlyView.
A lightweight, 3D MXene aerogel framework integrated with bismuth ferrite was developed to efficiently harvest waste heat. By growing the oxide directly onto the porous aerogel, the composite achieves strong interfacial connections. This unique architecture simultaneously boosts electrical power generation and blocks heat flow, resulting in an ...
Oju Kwon, Jinhyun Park, Minsu Kim, Dabin Park, Jooheon Kim   +4 more
wiley   +1 more source

Temporal and Spatial Effect Distribution on Soil Erosion from Nationwide Forest Restoration Policies in China Revealed by Causal Machine Learning. [PDF]

ACS Environ Au
Liu Z, Zhou Q, Gong M, Qu S.
europepmc   +1 more source

Breaking the Durability–Power Trade‐Off: Boron‐Directed Faceted O3 Cathodes for High‐Rate Sodium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Boron‐oxide‐assisted particle engineering stabilizes O3‐type layered cathodes for sodium‐ion batteries by mitigating phase transitions and lattice strain. Acting as flux and structural modifier, boron forms submicron hexagonal platelets with (003) facets and expanded Na‐layer spacing, enabling rapid Na⁺ diffusion and mechanical resilience.
Tengfei Song, Alexis Manche, Dongrui Xie, Bowen Liu, Chenglong Wu, Bo Dong, Reda Malakauskaite, Manoj Ovhal, David O. Scanlon, Emma Kendrick   +9 more
wiley   +1 more source

Mechanistic Insights into PFAS Rejection in Nanofiltration and Reverse Osmosis from Data-Driven Analysis. [PDF]

Environ Sci Technol
Tomsovic Y, Gu S, Doudrick K, Straub AP.
europepmc   +1 more source

Investigation Into the Electrochemical Performance of Micron‐ and Nanosized Tin in Diglyme and Carbonate Electrolytes in Sodium Ion Batteries

Advanced Energy Materials, EarlyView.
This study compares Sn particles of different sizes in NIBs using carbonate‐ and diglyme‐based electrolytes. Diglyme electrolytes enable stable cycling despite large volume changes, while carbonate electrolytes degrade rapidly, especially with nanoparticles.
Chinnasamy Murugesan, Aaron B. Naden, Paul A. Connor, A. Robert Armstrong, John T. S. Irvine   +4 more
wiley   +1 more source

High productivity and multilayered circulation in the Late Cretaceous Arctic Ocean. [PDF]

Sci Adv
Liu S, Van Rooij D, Chen M, Fan H, Li G, Shi Y, Liu Y, Ng ZL, Luo K, Lin L, Zhuo H.   +10 more
europepmc   +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

Interpretable Machine Learning for Survival Analysis. [PDF]

Biom J
Langbein SH, Krzyziński M, Spytek M, Baniecki H, Biecek P, Wright MN.   +5 more
europepmc   +1 more source