Results 191 to 200 of about 2,294,987 (304)

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

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Kolmogorov-Smirnov-type test for dependently double-truncated durations: A copula approach. [PDF]

Lifetime Data Anal
Toparkus AM, Weißbach R.
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

A unified fixed point approach for enriched bivariate mappings with applications to volterra systems and fractional-order chaos. [PDF]

PLoS One
Ahmad K, Yar S, Khan AR, Najeeb N, Jhangeer A, Abdelfattah W.   +5 more
europepmc   +1 more source

Rethinking Charge Transport and Recombination in Donor‐Diluted Organic Solar Cells

Advanced Materials, EarlyView.
Organic solar cells with 1–45% PM6 content in Y12 were studied to link structure and charge dynamics to performance. The conductivity follows a 3D percolation model without a sharp threshold. Donor dilution preserves the photogeneration yield, but limits the fill factor due to transport resistance losses.
Chen Wang, Christopher Wöpke, Toni Seiler, Jared Faisst, Mathias List, Meike Kuhn, Bekcy Joseph, Alexander Ehm, Dietrich R. T. Zahn, Yana Vaynzof, Eva M. Herzig, Roderick C. I. Mackenzie, Uli Würfel, Maria Saladina, Carsten Deibel   +14 more
wiley   +1 more source

Can Diagnostic Delay Amplify Drug Resistance in Tuberculosis? A Critical Integrative Reflection on Bacterial Adaptation, Persistence, Within-Host Evolution, and Heteroresistance. [PDF]

Diseases
Torres A, González P, Trujillo G, Fors M.   +3 more
europepmc   +1 more source

Chloride Ions: Essential Agents for Achieving Spontaneous Delamination of MXene

Advanced Materials, EarlyView.
This work first identifies chloride ions as essential agents for spontaneous MXene delamination. Without Cl−, etched Ti3C2Tx remains multilayered; with Cl−, interlayer modification enables Li+ intercalation and osmotic swelling. The SPEED process couples HF‐assisted Al extraction, Cl−‐mediated interlayer expansion, and Li+‐driven swelling to produce ...
Sukhyeun Jang, Yong‐Jae Kim, Incheol Jeong, Minju Kim, Jaewoong Lee, Jihan Kim, Ki‐Min Roh, Kang Taek Lee, Seon Joon Kim, Yonghee Lee, Chi Won Ahn, Hee‐Tae Jung   +11 more
wiley   +1 more source

As group size increases, individuals modify their vocal features to signal cooperation while remaining recognizable. [PDF]

Front Psychol
Pellegrino E, Dellwo V.
europepmc   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source