Results 111 to 120 of about 68,699 (263)

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

AdaCN: An Adaptive Cubic Newton Method for Nonconvex Stochastic Optimization. [PDF]

Comput Intell Neurosci, 2021
Liu Y, Zhang M, Zhong Z, Zeng X.
europepmc   +1 more source

Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses

Advanced Materials, EarlyView.
AF4‐UV‐DLS‐MALS‐SAXS resolves previously inaccessible targeted lipid nanoparticle (tLNP) subpopulations that differ in size, shape, and composition. Correlation of subpopulation‐resolved biophysical properties with in vivo RNA delivery reveals that targeted placental transfection is associated with distinct tLNP subpopulations rather than ensemble ...
Hannah C. Geisler, Hannah C. Safford, Ajay S. Thatte, Marshall S. Padilla, Elisa Battistini, Hannah M. Yamagata, Violet M. Ullman, Alex Chan, Benjamin E. Nachod, Anushka Agrawal, Maxwell B. Watkins, Jesse B. Hopkins, Andrew Tsourkas, Kushol Gupta, Michael J. Mitchell   +14 more
wiley   +1 more source

A Framework for Stochastic Optimization of Parameters for Integrative Modeling of Macromolecular Assemblies. [PDF]

Life (Basel), 2021
Pasani S, Viswanath S.
europepmc   +1 more source

From Payload‐First Toward Dual‐Mechanism Antibody–Drug Conjugates

Advanced Materials, EarlyView.
Conjugation converts potent antibodies into underexposed carriers. This perspective defines the antibody exposure deficit and maps a mechanism‐first design space from payload‐first to antibody‐first ADC architectures, integrating DAR, linker chemistry, and Fc engineering to guide rational design of constructs that balance targeted cytotoxicity with ...
Xavier Pivot, Sebastian Jung, Sébastien Harlepp, Alexandre Detappe   +3 more
wiley   +1 more source

Two-Stage Stochastic Optimization for the Pre-Position and Reconfiguration of Microgrid Defense Resources against Natural Disasters. [PDF]

Sensors (Basel), 2022
Jiang B, Lei H, Huang S, Li W, Jiao P.
europepmc   +1 more source

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

Advanced Materials, EarlyView.
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim, Seoeun Jang, Hakseung Rhee, Min Gu Lee, Daehee Kim, Taewook Go, Woon Hyung Cheong, Hanchan Song, Kyung Min Kim   +8 more
wiley   +1 more source

Hybrid leader based optimization: a new stochastic optimization algorithm for solving optimization applications. [PDF]

Sci Rep, 2022
Dehghani M, Trojovský P.
europepmc   +1 more source

Dynamic Mechanical Loading Modulates Extracellular Vesicle Production and Cargo in Meniscus Fibrochondrocytes

Advanced Materials Interfaces, EarlyView.
Dynamic mechanical loading of outer meniscus fibrochondrocytes increases extracellular vesicle (EV) yield and alters EV composition. When applied to progenitor cells, these mechanically primed EVs modulate the expression of matrix‐related genes.
Catherine Cheung, Zizhao Li, Sung‐Han Jo, Se‐Hwan Lee, Il Keun Kwon, Jina Ko, Su Chin Heo   +6 more
wiley   +1 more source

Stochastic Optimization and Adaptive Control for Dynamic Bus Lane Management Under Heterogeneous Connected Traffic

Mathematics
The efficiency of intelligent urban mobility increasingly depends on adaptive mathematical models that can optimize multimodal transportation resources under stochastic and heterogeneous conditions. This study proposes a Markovian stochastic modeling and
Bo Yang, Chunsheng Wang, Junxi Yang, Zhangyi Wang   +3 more
doaj   +1 more source