Results 81 to 90 of about 68,685,272 (228)

Sticker Valence Governs Chain Collapse and Liquid‐Liquid Phase Separation in Peptide‐Inspired Associative Polymers

open access: yesAdvanced Science, EarlyView.
Peptide‐inspired associative polymers with arginine‐like guanidinium stickers and lysine‐like ammonium spacers undergo chain collapse and liquid‐liquid phase separation induced by reversible sticker associations. Sticker valence and tunable association strength jointly control the phase behavior, chain conformation, and interfacial cohesion of these ...
Seung‐Hwan Oh   +7 more
wiley   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

open access: yesAdvanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu   +2 more
wiley   +1 more source

High‐Pressure Modulation of Breathing Kagome Lattice: Cascade of Lifshitz Transitions and Evolution of the Electronic Structure

open access: yesAdvanced Science, EarlyView.
External pressure directly tunes the breathing distortion of the kagome lattice in Fe3Sn2, suppressing it near 15 GPa and reversing it at higher pressures. This structural modulation drives a cascade of Lifshitz transitions, reconstructs the Fermi surface, strengthens electronic correlations and carrier localization, and modifies ultrafast electron ...
Marcos Vinicius Gonçalves‐Faria   +14 more
wiley   +1 more source

CAPM and APT-like models with risk measures. [PDF]

open access: yes
The paper deals with optimal portfolio choice problems when risk levels are given by coherent risk mea sures, expectation bounded risk measures or general deviations. Both static and dynamic pricing models may be involved.
Balbás, Alejandro   +2 more
core  

Multiphoton Quantum Reservoirs For Robust Multidimensional Computing

open access: yesAdvanced Science, EarlyView.
Projective measurements reveal hidden multidimensional quantum networks within classical multiphoton fields, enabling robust quantum reservoirs for room‐temperature quantum simulation, prediction, and information processing. These networks transform noisy classical photonic platforms into scalable quantum computational architectures.
Mingyuan Hong   +10 more
wiley   +1 more source

Free completely random measures [PDF]

open access: yes
Free probability is a noncommutative probability theory introduced by Voiculescu where the concept of independence of classical probability is replaced by the concept of freeness.
Francesca Collet, Fabrizio Leisen
core  

Stochastic analysis related to Gamma measures : Gibbs perturbations and associated diffusions [PDF]

open access: yes, 2011
Hagedorn D. Stochastic analysis related to Gamma measures : Gibbs perturbations and associated diffusions.
Hagedorn, Dennis
core  

A Site‐Aware Representation Learning Framework For Unified Molecular Interaction Modeling and Generative Design

open access: yesAdvanced Science, EarlyView.
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo   +6 more
wiley   +1 more source

STWave: Fine‐Scale Spatial Structure Discovery in Microscopic‐Resolution Spatial Transcriptomics via Patchwise Wavelet Graphs

open access: yesAdvanced Science, EarlyView.
STWave transforms massive microscopic‐resolution spatial transcriptomics into interpretable fine‐scale tissue maps through patch‐wise inference, wavelet‐based multi‐scale encoding, and dual‐domain reconstruction. It reduces noise while preserving weak spatial signals, enabling efficient analysis of 6 40 000 spots of 2.47 GB GPU memory and revealing ...
Tao Jiang   +9 more
wiley   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

open access: yesAdvanced Science, EarlyView.
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko   +8 more
wiley   +1 more source

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