Results 271 to 280 of about 484,275 (334)

Curved Nanographene–Graphite Hybrid Anodes with Sequential Li+ Insertion for Fast‐Charging and Long‐Life Li‐Ion Batteries

Advanced Functional Materials, EarlyView.
A hybrid anode composed of Cl‐functionalized curved nanographene and graphite enables ultra‐fast charging and long cycle life through an engineered morphology and sequential Li+ insertion. It delivers 100 mAh g−1 at 5 C with 70% capacity retention after 1000 cycles and maintains stable performance over 2000 cycles in pouch cells, providing a practical ...
Hyunji Cha, Minsung Kang, Seung Hak Oh, Jee Ho Ha, Jeongmi Joo, Dae Hyeon Kwon, Sang Kyu Kwak, Seokhoon Ahn, Seok Ju Kang   +8 more
wiley   +1 more source

Effective descriptions of bosonic systems can be considered complete. [PDF]

Nat Commun
Arzani F, Booth RI, Chabaud U.
europepmc   +1 more source

Free‐Form Microfluidic Microneedle Array Patches

Advanced Functional Materials, EarlyView.
Microfluidic microneedle array patches (MAPs) integrate hollow microneedles with embedded microfluidic channels, fabricated using high‐resolution 3D printing, to enable controlled transdermal delivery of liquid, mixed, or reconstituted therapeutics.
Ian A. Coates, Madison M. Driskill, Netra U. Rajesh, Gabriel Lipkowitz, Dan Ilyn, Yue Xu, Maria T. Dulay, Gunilla B. Jacobson, John R. Tumbleston, Jillian L. Perry, Shaomin Tian, Joseph M. DeSimone   +11 more
wiley   +1 more source

Inverse Modeling for Artifact Removal in Photonic Data: A Computational Physics and Transfer Learning-Based Approach. [PDF]

J Chem Inf Model
Vulchi RT, Morgunov V, Hniopek J, Ryabchykov O, Bocklitz T.   +4 more
europepmc   +1 more source

Covalent Organic Frameworks for Water Sorption: The Importance of Framework Physical Stability

Advanced Functional Materials, EarlyView.
This study explores the water‐vapor stability of 2D covalent organic frameworks (COFs) with varying pore sizes. Results reveal microporous COFs demonstrate superior stability compared to mesoporous ones, despite lower water uptake. Mesoporous keto‐enamine‐linked COFs show enhanced stability due to intralayer hydrogen bonds, confirmed by simulations and
Wei Zhao, He Li, Bui Duc Thuan, Weidong Chen, Qiang Zhu, Mounib Bahri, Boyu Li, Kexin Yu, Chengjun Kang, Ting Chen, Zekun Wang, Nigel D. Browning, Kian Jon Chua, Dan Zhao   +13 more
wiley   +1 more source

Construction and Validation of a Digital Twin-Driven Virtual-Reality Fusion Control Platform for Industrial Robots. [PDF]

Sensors (Basel)
Chang W, Sun W, Chen P, Xu H.
europepmc   +1 more source

Phase Change Material‐Driven Tunable Metasurface for Adaptive Terahertz Sensing and Communication in 6G Perceptive Networks

Advanced Functional Materials, EarlyView.
This study explores the benefits of metasurfaces made from functional materials, highlighting their ability to be adapted and improved for various high‐frequency applications, including communications and sensing. It first demonstrates the potential of these functional material‐based metasurfaces to advance the field of sub‐THz perceptive networks ...
Yat‐Sing To, Jiachen Du, Cyril Decroze, Laure Huitema, Aurelian Crunteanu, Hang Wong   +5 more
wiley   +1 more source

Estimation of above-ground carbon stock of <i>Dendrocalamus giganteus</i> using ANUSPLIN-interpolated GEDI and ICESat-2/ATLAS parameters. [PDF]

Front Plant Sci
Yang H, Qin Z, Li S, Shu Q, Wang M, Zhang Y, Li Z.   +6 more
europepmc   +1 more source

A 3D Biofabricated Disease Model Mimicking the Brain Extracellular Matrix Suitable to Characterize Intrinsic Neuronal Network Alterations in the Presence of a Breast Tumor Disseminated to the Brain

Advanced Functional Materials, EarlyView.
A 3D disease model is developed using customized hyaluronic‐acid‐based hydrogels supplemented with extracellular matrix (ECM) proteins resembling brain ECM properties. Neurons, astrocytes, and tumor cells are used to mimic the native brain surrounding.
Esra Türker, Mateo S. Andrade Mier, Jessica Faber, Mike Friedrich, Zan Lamberger, Jeannette Weigelt, Christian Stigloher, Nicoletta Murenu, Natascha Schaefer, Jörg Tessmar, Gregor Lang, Silvia Budday, Katrin G. Heinze, Antje Appelt‐Menzel, Pamela L. Strissel, Reiner Strick, Carmen Villmann   +16 more
wiley   +1 more source

Investigating the determinants of performance in machine learning for protein fitness prediction. [PDF]

Protein Sci
Sandhu M, Mater AC, Matthews DS, Spence MA, Lenskiy AA, Jackson C.   +5 more
europepmc   +1 more source