Results 201 to 210 of about 121,464 (311)

Decoding Interfacial Charge‐Carrier Dynamics in Integrated Perovskite/Organic Solar Cells via Numerical Modeling

Advanced Energy Materials, EarlyView.
A physical framework is developed based on drift‐diffusion simulations to elucidate the operation of integrated perovskite/organic solar cells (I‐POSCs) through the lens of interfacial charge‐carrier dynamics. A stepwise analysis establishes key links between carrier transport/recombination phenomena and device performance metrics, offering valuable ...
Jingjing Tian, Chao Liu, Karen Forberich, Rong Wang, Larry Lüer, Christoph J. Brabec   +5 more
wiley   +1 more source

IRS-Assisted Dual-Mode Relay-Based Adaptive Transmission. [PDF]

Sensors (Basel)
Wang D, Xu Y, Gao Z, Ding H, Zhu S, Li Z.   +5 more
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

DECODE VRL Report No. 1: Lymphocyte Survival After Diagnostic Vitrectomy - Does Size Matter? [PDF]

Transl Vis Sci Technol
Kowalski M, Kakkassery V, Merle DA, Heubach F, Athanasiou A, Dimopoulos S, Paigin S, Fend F, Bartz-Schmidt KU, Kortuem FC.   +9 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Identification and validation of plasma protein biomarkers as therapeutic targets in acute myeloid leukemia: an integrative multi-omics study. [PDF]

Front Immunol
Hu L, Luo Q, Liao Y, Zhai Z, Ding Y, Fei Y.   +5 more
europepmc   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

Embracing Imperfect Tools to Decode AKI in Decompensated Cirrhosis. [PDF]

Dig Dis Sci
Cullaro G, Allegretti AS, Patidar KR, Verna EC, Lai JC.   +4 more
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

COPD-associated proteins as biomarkers and drug targets: Insights from genetic and proteomic analyses. [PDF]

Medicine (Baltimore)
Lin X, Zheng Q, Ma J, Ouyang W, Chen B.
europepmc   +1 more source