Results 61 to 70 of about 51,774 (209)

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Versatile Magneto‐Dielectric Response of Epitaxial Thin Films of the High Entropy Oxide Perovskite Nd(Cr0.2Mn0.2Fe0.2Co0.2Ni0.2)O3

Advanced Materials, EarlyView.
The magnetic high entropy oxide perovskite Nd(Cr0.2Mn0.2Fe0.2Co0.2Ni0.2)O3 exhibits a substantially large dielectric constant (εr) at room temperature, which shows distinct anionic and cationic contributions in the form of zero and finite bias peaks, respectively, down to its magnetic transition temperature (Tmag).
Roxana Capu, Ryan Thompson, C. Willem Rischau, Marli R. Cantarino, Premysl Marsik, Sergey L. Bud'ko, Neven Biškup, María Varela, Yurii G. Pashkevich, Serhii M. Orel, Thomas Prokscha, Andreas Suter, Jiangtao Zhao, Ugwumsinachi Oji, Marco Bonura, Peter Bencok, Zaher Salman, Stefano Gariglio, Christian Bernhard, Subhrangsu Sarkar   +19 more
wiley   +1 more source

Plasmonic Nanomachines: Creating Local Potential Gradients and Motions

Advanced Materials, EarlyView.
Plasmonic nanomachines can generate optical, thermal, and chemical potential gradients to drive directional rectilinear, rotational, and twisting motions at the nanometer scale. The integration of multimodal plasmonic forces with functional materials and programmed structural distortions enables precise spatiotemporal actuation, thereby providing a ...
Yoonhee Kim, Soohyun Ji, Donghyun Choi, Jwa‐Min Nam   +3 more
wiley   +1 more source

Energy Band Alignment and Electro‐Optical Behavior of Nearly Unstrained Monolayer MoS2 Heterostructures With GaN

Advanced Materials Interfaces, EarlyView.
Large size (∼100 µm) monolayer MoS2 grown by LPI‐CVD on n‐GaN exhibit a high n‐type doping, very low strain, and a type‐I band alignment at MoS2/GaN interface. Photocurrent measurements under illumination with photon energies from ∼2 to ∼5 eV show superior electro‐optical performances of these MoS2/n‐GaN heterojunctions as compared to Ni/n‐GaN devices ...
Salvatore Ethan Panasci, Emanuela Schilirò, Giuseppe Greco, Patrick Fiorenza, Fabrizio Roccaforte, Fiorenza Esposito, Igor Píš, Federica Bondino, Antonino Madonia, Marco Cannas, Simonpietro Agnello, Luca Seravalli, Filippo Giannazzo   +12 more
wiley   +1 more source

3D Printing of Highly Dense and Translucent Zirconia Parts for Dental Applications: Effect of Filament Overlapping

Advanced Materials Technologies, EarlyView.
This study formulated a 5Y‐PSZ zirconia paste for extrusion‐based additive manufacturing via direct ink writing, producing dense ceramic structures for dental applications. A colloidal approach with 47 vol% nanometric powder and tailored additives optimized rheology and printability.
Juliana de Freitas Gouveia Silva, Manuel Fellipe Rodrigues Pais Alves, Ana Carolina da Silva, Tiago Moreira Bastos Campos, Renata Marques De Melo, Susana Maria Henriques Olhero   +5 more
wiley   +1 more source

Record High Polarization at 2 V and Imprint‐Free Operation in Superlattice HfO2‐ZrO2 by Proper Tuning of Ferro and Antiferroelectricity

Advanced Materials Technologies, EarlyView.
Low‐power ferroelectric capacitors, based on superlattice HfO2‐ZrO2 is reported. With proper tuning of ferro and antiferroelectricity, an imprint‐free high switchable polarization charge (2Pr of 76 µC/cm2) is obtained with 2MV/cm leading to linear analog weight update and non‐volatile retention, providing a design guideline for emerging non‐volatile ...
Xinye Li, Padma Srivari, Mari Honkanen, Turkka Salminen, Sayani Majumdar   +4 more
wiley   +1 more source

Smart and Sustainable Sizing: Investigating the Sensing Behavior of Glass Fabrics Coated With Waterborne Polyurethane/Graphene Dispersions

Advanced Materials Technologies, EarlyView.
Waterborne polyurethane/graphene formulations are developed as piezoresistive coatings on glass fabric to enable flexible strain sensing. The graphene‐enabled conductive network provides a stable electromechanical response under cyclic compression. The coating demonstrates reliable pressure‐dependent resistance changes, highlighting its potential for ...
Vishnu Vijayan Pillai, Premika Govindaraj, Sai Aditya Pradeep, Olivia Sequerth, Srikanth Pilla, Franz Konstantin Fuss, Peter Kingshott, Nishar Hameed, Nisa V Salim   +8 more
wiley   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source