Results 161 to 170 of about 1,774,744 (290)

Complexation‐Mediated Diffusion‐Limited Crystal Growth: A General Framework for Anisotropic Crystal Growth in Cu‐Based Perovskites

Advanced Functional Materials, EarlyView.
A Complexation‐Mediated Diffusion‐Limited Growth (CMDLG) framework is established to rationalize the anisotropic growth of lead‐free perovskites. Integrating coordination chemistry with mass transport kinetics, this study theoretically derives and experimentally validates that stable iodocuprate complexes induce a diffusion‐limited regime.
Hyunmin Lee, Mu Geun Son, Thanh Van Vu, Hokyeong Jeong, Joonhee Kang, Youngjong Kang   +5 more
wiley   +1 more source

Parallel 3D Bioprinting on SLIPS‐Microarrays

Advanced Functional Materials, EarlyView.
This work introduces the first truly parallel 3D bioprinting method, enabling both the simultaneous fabrication of hundreds of cell laden hydrogel 3D structures and their HTS in individual liquid compartments. By integrating Digital Light Processing (DLP) stereolithography with functional micropatterns, the platform decouples printing time from array ...
Julius von Padberg, Julian A. Serna, Maike Schliephake, Pavel A. Levkin   +3 more
wiley   +1 more source

Implant Navigation During TMJ Reconstruction: A Proof-of-Concept Study. [PDF]

J Pers Med
Bulthuis LCM, Ho JTF, Zuurbier PCM, Koutris M, Schreurs R, de Lange J.   +5 more
europepmc   +1 more source

Photo‐Controlled Antibacterial Drug Release From DASA‐Coated Silica Particles for Improved Treatment of Wound Infections

Advanced Functional Materials, EarlyView.
Synthesis and characterization of light‐responsive donor–acceptor Stenhouse adducts (DASA)‐coated chlorhexidine‐loaded silica nanoparticles. Such a controllable drug‐delivery system enables the release of the antimicrobial drug on demand and in consecutive cycles, thereby maintaining the concentration within the therapeutic window.
Michèle Clerc, Flavia Zuber, Lea Oberhänsli, Yvonne Elbs‐Glatz, Maria M. Miguel, Vera M. Kissling, Qun Ren, Markus Rottmar, Luciano F. Boesel, Giorgia Giovannini   +9 more
wiley   +1 more source

Prediction-based attention computing: a proof of concept study. [PDF]

Virtual Real
Arthur T, Borg D, Wang Y, Harris D, Vine S, Buckingham G, Wilson M, Brosnan M.   +7 more
europepmc   +1 more source

Self‐Sintering Ionogel Binder for Flexible, Recyclable, and Healable Printed Giant Magnetoresistive Sensors

Advanced Functional Materials, EarlyView.
ABSTRACT Electronic waste has emerged as a major environmental challenge, driven by the massive consumption and a limited lifetime of modern electronic devices, stimulating the development of sustainable electronics. Here, an all‐biomaterial gelatin‐choline‐citric acid ([Ch][CA]) ionogel is developed as an active binder to realize self‐sintered ...
Lin Guo, Xiaotao Wang, Guannan Mu, Proloy Taran Das, Igor Veremchuk, Conrad Schubert, Aaron D. Cross, Yevhen Zabila, Xuan Peng, Larysa Baraban, Denys Makarov   +10 more
wiley   +1 more source

A Proof-of-Concept Study of Gamified Rhythmic Training in Preadolescents Who Stutter. [PDF]

Ann N Y Acad Sci
Jamey K, Finlay S, Foster NEV, Dalla Bella S, Falk S.   +4 more
europepmc   +1 more source

Photon Avalanching Nanoparticles: The Next Generation of Upconverting Nanomaterials?

Advanced Functional Materials, EarlyView.
This Perspective outlines the mechanistic foundations that enable photon‐avalanche (PA) behavior in lanthanide nanomaterials and contrasts them with emerging application spaces and forward‐looking design strategies. By bridging threshold engineering, energy‐transfer dynamics, and materials engineering, we provide a coherent roadmap for advancing the ...
Kimoon Lee, Yunseo Kim, Hyeong‐ku Jo, Dongjoon Yoon, Byeonghyeok Im, WonJeong Yu, Eui‐Rim On, Changhwan Lee   +7 more
wiley   +1 more source

Planimetric quantification of plaque in patients with multibracket appliances using an intraoral scanner - proof-of-concept. [PDF]

Clin Oral Investig
Jung K, Ganss C, Korbmacher-Steiner H, Jablonski-Momeni A.   +3 more
europepmc   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

Advanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu, Akhil Pratap Singh, Pablo Campomanes, Stefano Vanni   +3 more
wiley   +1 more source