Results 221 to 230 of about 53,985 (263)
An active learning framework, grounded in independently generated in‐house experimental data, enables reliable discovery of high‐performance interfacial materials for perovskite solar cells. Iterative model refinement autonomously converges toward structurally robust quaternary ammonium architectures, establishing a new design principle for interfacial
Jongbeom Kim +8 more
wiley +1 more source
A hierarchically structured metal–organic framework (eMIL) is shown to host the complete six‐enzyme biosynthesis pathway for the anti‐cancer pigment violacein, reshaping reaction dynamics and multiplying in vitro yields. eMIL nanoreactors deliver this reconstituted bacterial multi‐protein system into mammalian cells, where cell‐derived substrates and ...
Ainur Sharip +12 more
wiley +1 more source
Multi-Manifolds fusing hyperbolic graph network balanced by pareto optimization for identifying spatial domains of spatial transcriptomics. [PDF]
Li Y, Hu Q, Han S, Wang-Sattler R, Du W.
europepmc +1 more source
Matrix Viscoelasticity Regulates Dendritic Cell Migration and Immune Priming
Matrix viscoelasticity is a key mechanical feature of the tumor microenvironment but remains poorly understood in immune regulation. Here, we develop a tunable collagen platform to decouple viscoelasticity from stiffness and show that slow‐relaxing matrices constrain dendritic cell migration by limiting actomyosin‐driven matrix remodeling, thereby ...
Wei‐Hung Jung +6 more
wiley +1 more source
Genuine quantum scars in many-body spin systems. [PDF]
Pizzi A +4 more
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Nonlinear classification of neural manifolds with contextual information. [PDF]
Mignacco F, Chou CN, Chung S.
europepmc +1 more source
Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures. [PDF]
Papillon M +10 more
europepmc +1 more source
Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks. [PDF]
Li Y, Wang W, Lee TS.
europepmc +1 more source
ACXNet hybrid deep learning model for cross task mental workload estimation using EEG neural manifolds. [PDF]
Abinaya G, Dinakaran K.
europepmc +1 more source

