Results 51 to 60 of about 348 (179)
A fully compensated synthetic antiferromagnet (SAF) multilayer exhibits a uniform state at zero field, without skyrmions. We use a SAF bias system to provide RKKY‐mediated exchange bias to the SAF multilayer, promoting zero‐field skyrmion stabilization and polarity control.
Emily Darwin +5 more
wiley +1 more source
Minimising the heat dissipation of quantum information erasure
Quantum state engineering and quantum computation rely on information erasure procedures that, up to some fidelity, prepare a quantum object in a pure state.
M Hamed Mohammady +2 more
doaj +1 more source
Monolayer PtTe2 enables dopant‐free Schottky FETs through its thickness‐dependent electronic transition. Quantum transport simulations show that crystallographic orientation strongly influences device performance, with Γ–M transport delivering higher drive current, lower leakage, and improved switching behavior.
Lida Ansari, Paul K. Hurley, Farzan Gity
wiley +1 more source
Advancing Energy Materials by In Situ Atomic Scale Methods
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
Evolution of Physical Intelligence Across Scales
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 +7 more
wiley +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
Propagation of signals in the chains of bi-stable elements
This article is devoted to treating the behavior of systems composed of an ensemble of bi-stable cells which are capable to write and store information and are connected with similar cells placed along one dimensional direction so as information can ...
Yu. N. Zayko
doaj +1 more source
Tetrazoles are reframed as substitution‐programmable heterocycles rather than static functional groups in polymer chemistry. By linking electronic identity to synthetic strategy and polymer architecture, this mini‐review establishes a design framework for translating tetrazole duality into predictable macromolecular function.
Meryem S. Akdemir, Hatice Mutlu
wiley +1 more source

