Results 191 to 200 of about 42,769 (264)

Electric Double Layer Engineering Induces O‐Down Interfacial Water Reorientation for Efficient and Long‐Term Seawater Electrolysis

Advanced Energy Materials, EarlyView.
The additive EDTMPS inhibits hydroxides deposition by chelating with Ca2+/Mg2+. It also disrupts the hydrogen bond network of interfacial water and expands the thickness of electric double layer, promoting more free water to flip into adsorbable O‐down configuration.
Tongzhou Li, Yutong Zhao, Hongjie Zhang, Yangkai Han, Zhiwei Ren, Feng Xie, Zongping Shao, Zhigang Shao   +7 more
wiley   +1 more source

Distortion correction in TSE near titanium implants at 0.55 T using reversed frequency-encoding and model-based reconstruction. [PDF]

MAGMA
Li B, Lee NG, Yoon D, Keskin K, Toews AR, Acharya J, Gross JS, Hargreaves BA, Nayak KS.   +8 more
europepmc   +1 more source

Lumped modeling of bubbling fluidized beds for high‐temperature processes

AIChE Journal, EarlyView.
Abstract Bubbling fluidized beds (BFBs) have been a source of study for multiple decades. Among other applications, they can be used as scalable reactors for the conversion of biomass and waste resources to fuels. Several experimental and computational studies have been devoted to correlating the interplay of hydrodynamics and heat and mass transfer in
Ravi Ramesh, Elyas Moghaddam, Wiebren de Jong, Johan T. Padding   +3 more
wiley   +1 more source

Outcomes of Using 3D-Printed Titanium Implants in Mandibular Reconstruction. [PDF]

J Pharm Bioallied Sci
Almudarris BA, Rajput T, Singh V, Feroz SMA, Qurishi AA, Kumar J, Homeida HE.   +6 more
europepmc   +1 more source

Smart Denture with Embedded Thin‐Film Temperature Sensors Patterned by Femtosecond Laser Pulse for Elderly Healthcare

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam, Yong Kwon Chae, Seoung‐Jin Hong, Younggen Lee, Dongwook Yang, Byunggi Kim, Sang Wook Kang, Young‐Jin Kim   +7 more
wiley   +1 more source

Comparative Animal Study of Zirconia-Coated Titanium Implants: Effect on Bone Formation and Collagen Fiber Orientation. [PDF]

J Funct Biomater
Osawa K, Hirota M, Sakurai T, Iinuma Y, Ohkubo C, Nagai H, Yamamoto T, Mitsudo K.   +7 more
europepmc   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Grain Size and Electrochemical Surface Modification Effects on Corrosion, Biological, and Technological Properties of CP Titanium Implants. [PDF]

J Funct Biomater
Hlinka J, Cvejn D, Dluhos L, Babuska V, Cabanova K, Dvorakova J, Volodarskaja A, Valiev RZ, Faisal NH, Peterek Dedkova K, Palupcikova R, Vodarek V.   +11 more
europepmc   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Comparative Molecular Docking, Molecular Dynamics and Adsorption-Release Analysis of Calcium Fructoborate and Alendronate Salts on Hydroxyapatite and Hydroxyapatite-Titanium Implants. [PDF]

Biomedicines
Trasca DM, Pluta ID, Sirbulet C, Varut RM, Singer CE, Preoteasa D, Stoica GA.   +6 more
europepmc   +1 more source