Results 181 to 190 of about 13,470 (297)

Spin-selective heterogeneous chiral perovskites for circular-polarization-resolved retinomorphic sensors. [PDF]

open access: yesNat Commun
Yu   +17 more
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Predictive Registry Optimization of Molecular Adsorbates on Solid Surfaces

open access: yesAngewandte Chemie, EarlyView.
Local C–H “spikes” from a π‐conjugated backbone lock into graphene “pockets”. A geometric registry score turns images obtained by scanning tunneling microscopy at the solid/liquid interface into atomic‐scale adsorption models, enabling assignment of surface atropisomers in large π‐conjugated molecules.
David A. Hofmeister   +7 more
wiley   +2 more sources

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

open access: yesAdvanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang   +9 more
wiley   +1 more source

Predicting and Rationalizing Piezoelectricity in Racemic Bioorganic Molecular Crystals

open access: yesAngewandte Chemie, EarlyView.
Racemic molecular crystals, composed of equal mixtures of chiral enantiomeric components, are predicted to exhibit significant piezoelectric responses and favourable mechanical flexibility. This study identifies organic and bioorganic racemates as promising candidates for sustainable, lead‐free materials, enabling next‐generation applications in energy
Shubham Vishnoi, Sarah Guerin
wiley   +2 more sources

Chiral superfluorescence from perovskite superlattices at room temperature. [PDF]

open access: yesNature
Wei Q   +10 more
europepmc   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios   +4 more
wiley   +1 more source

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