Results 181 to 190 of about 7,892 (272)

Topological BF Theory construction of twisted dihedral quantum double phases from spontaneous symmetry breaking [PDF]

Zhiqiang Gao, Chunxiao Liu, Joel E. Moore   +2 more
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Microscopic mechanism of anyon superconductivity emerging from fractional Chern insulators.

Newton
Pichler F, Kuhlenkamp C, Knap M, Vishwanath A.   +3 more
europepmc   +1 more source

Symmetry-driven spin splitting in altermagnets: an angle-resolved photoemission spectroscopy perspective. [PDF]

Nano Converg
Liu J, Ma X, Zhang X, Jing W, Liu Z, Shen D.   +5 more
europepmc   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

Quantum metric-induced giant and reversible nonreciprocal transport phenomena in chiral loop-current phases of kagome metals. [PDF]

Proc Natl Acad Sci U S A
Tazai R, Yamakawa Y, Morimoto T, Kontani H.   +3 more
europepmc   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

A universal framework for the quantum simulation of Yang-Mills theory. [PDF]

Commun Phys
Halimeh JC, Hanada M, Matsuura S, Nori F, Rinaldi E, Schäfer A.   +5 more
europepmc   +1 more source

Device‐Level Implementation of Reservoir Computing With Memristors

Advanced Intelligent Systems, EarlyView.
Reservoir computing (RC) is an emerging computing scheme that employs a reservoir and a single readout layer, which can be actualized in the nanoscale with memristors. As a comprehensive overview, the principles of RC and the switching mechanisms of memristors are discussed, followed by actual demonstrations of memristor‐based RC and the remaining ...
Sunbeom Park, Hyojung Kim, Ho Won Jang
wiley   +1 more source

Particle-Hole Symmetry Breaking in Nitrogen-Decorated Triphenylmethyl Radical Emitters. [PDF]

J Phys Chem A
Rizzo AG, Barreca MT, Di Maiolo F.
europepmc   +1 more source