Results 161 to 170 of about 266,135 (214)

Predicting vault after implantable collamer lens implantation using intraoperative OCT: establishment and application of models. [PDF]

J Cataract Refract Surg
Du X, Yan H.
europepmc   +1 more source

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

Segmented Versus Global Optimization of Intraocular Lens Constants Across Axial Length: A Multi-Lens, Multi-Formula Comparison Using a Disjoint Training Dataset. [PDF]

Diagnostics (Basel)
Langenbucher A, Szentmáry N, Cayless A, Hoffmann P, Riaz KM, Wendelstein JA.   +5 more
europepmc   +1 more source

In Vivo Monitoring of Thrombo‐Inflammatory Biomarkers via Molecularly Imprinted Polymer‐Integrated Hydrogel Microneedles

Advanced Materials, EarlyView.
A wearable electrochemical microneedle patch integrates Prussian Blue redox transduction with molecularly imprinted polymer recognition for reagent‐free sampling and detection of thrombo‐inflammatory biomarkers in dermal interstitial fluid. The platform tracks thrombin and inflammatory cytokines with sensitive in vitro, ex vivo, and in vivo performance,
Mahmoud Ayman Saleh, Peyman GhavamiNejad, Arash Khorrami Jahromi, Sanjana Srikant, Sripadh Guptha Yedire, Fatemeh Keyvani, Roozbeh Siavash Moakhar, Sajad Shiekh, Mackenzie Graham, Joe Quadrilatero, Mahla Poudineh, Sara Mahshid   +11 more
wiley   +1 more source

Smart fertigation: Automated fertilizer application based on plant growth using digital sensors with IoT capability. [PDF]

PLoS One
Son S, Wei-Kocsis J, Deering A, Hoagland L, Nemali K.   +4 more
europepmc   +1 more source

Correlated Charge Transport in an Organic Coulomb Glass

Advanced Materials, EarlyView.
ABSTRACT Advances in the development of organic field‐effect transistors (OFETs), electrically gated organic semiconductors (EGOFETs), and organic electrochemical transistors (OECTs) allow for the operation of these devices at very high charge‐carrier densities, where Coulomb interactions between carriers can be expected to become significant.
Magdalena Sophie Dörfler, Heinz Bässler, Harald Oberhofer, Anna Köhler   +3 more
wiley   +1 more source

Psychometric Validation of the Spanish Version of the Sheffield Preference-Based Venous Leg Ulcer Questionnaire (SPVU-5D) in Patients With Venous Leg Ulcers. [PDF]

Int Wound J
Barbas-Monjo MÁ, Sánchez-Romero EA, Verdú-Soriano J, Cabrero García J, Cuenca-Zaldívar JN, Sillevis R.   +5 more
europepmc   +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

Machine learning-based solar radiation prediction across heterogeneous climatic zones using NASA POWER data: a case study in Nigeria. [PDF]

Front Artif Intell
Faloye OT, Awotoye GT, Akinremi J, Olaleye OS, Oluwadare AO, Adeyeri OE, Laokhongthavorn L, Kamchoom V.   +7 more
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