Results 161 to 170 of about 217,704 (247)

Topological metal-insulator transition within the ferromagnetic state. [PDF]

Nat Commun
Forslund OK, Ong CS, Hirschmann MM, Gauthier N, Uchiyama H, Tzschaschel C, Mazzone DG, Sibille R, Dos Santos AM, Horio M, Nocerino E, Matsubara N, Mukkattukavil DJ, Papadopoulos K, Kamazawa K, Ikeuchi K, Takagi H, Isobe M, Sugiyama J, Chang J, Sassa Y, Eriksson O, Månsson M.   +22 more
europepmc   +1 more source

Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?

Agribusiness, EarlyView.
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley   +1 more source

Research of the Abnormal Mechanism of Brain Functional Network in Early Mild Cognitive Impairment Patients. [PDF]

IET Syst Biol
Qi D, Wang W, Diao Y, Zhao W, Rong W, Zhao H.   +5 more
europepmc   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Early diagnosis of Alzheimer's Disease: Graph theoretical analysis of cerebellar network features based on 18F-AV45 PET. [PDF]

PLoS One
Li R, Jiang S, Pi Z, Chen G.
europepmc   +1 more source

On the Classification of Bosonic and Fermionic One-Form Symmetries in 2 + 1 d and 't Hooft Anomaly Matching. [PDF]

Commun Math Phys
Balasubramanian M, Buican M, Radhakrishnan R.   +2 more
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Light-induced bimerons in a chiral magnet. [PDF]

Nat Commun
Zhu K, Rybakov FN, Wang Z, Gao W, Sun S, Wang W, Li J, Tian H, Eriksson O, Yang H, Zhang Y, Kiselev NS, Li Z, Li J.   +13 more
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source