Results 111 to 120 of about 104,993 (265)
Graph-facilitated resonant mode counting in stochastic interaction networks. [PDF]
J R Soc Interface, 2017 Adamer MF, Woolley TE, Harrington HA.
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 +3 more
wiley +1 more source
Stochastic Interaction between Neural Activity and Molecular Cues in the Formation of Topographic Maps. [PDF]
Neuron, 2015 Owens MT +3 more
europepmc +1 more source
Stochastic models of interacting systems
The Annals of Probability, 1997 Interacting particle systems is by now a mature area of probability theory, but one that is still very active. We begin this paper by explaining how models from this area arise in fields such as physics and biology. We turn then to a discussion of both older and more recent results about them, concentrating on contact processes, voter models, and ...
openaire +2 more sources
Resonant Domain Wall Dynamics in a Three‐Dimensional Magnetic Nano Double Helix
Advanced Materials, EarlyView.3D magnetic nanostructures promise exciting possibilities for magnetization dynamics. However, experimental realizations remain scarce. In nanoprinted cobalt double helices, time‐resolved X‐ray microscopy reveals harmonic domain wall dynamics. Simulations identify the mode and additional higher‐frequency resonances, revealing a rich dynamic landscape ...
Pamela Morales‐Fernández +15 more
wiley +1 more source
ProtNet: a tool for stochastic simulations of protein interaction networks dynamics
BMC Bioinformatics, 2007 Background Protein interactions support cell organization and mediate its response to any specific stimulus. Recent technological advances have produced large data-sets that aim at describing the cell interactome.
Bernaschi Massimo +5 more
doaj +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 +14 more
wiley +1 more source
Advanced Materials, EarlyView.Targeting cancer‐associated fibroblasts (CAFs) with fibroblast activation protein (FAP)‐directed nanoprobes for multimodal imaging and photothermal remodeling of the immunosuppressive microenvironment to enhance immunotherapy in triple‐negative breast cancer (TNBC).
Ling Zhan +6 more
wiley +1 more source
European Physical Journal C: Particles and FieldsWe explore the mathematical relationship between the holographic Wilsonian renormalization group (HWRG) and stochastic quantization(SQ) motivated by the similarity of the monotonicity in RG flow with Langevin dynamics of non-equilibrium thermodynamics ...
Ji-seong Chae, Jae-Hyuk Oh
doaj +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 +3 more
wiley +1 more source