Results 121 to 130 of about 137,539 (242)

Photoresponsive Adaptive Reconfiguration of Single‐Atom Interface With Intermittent Light and Soft Ionic Lattices

open access: yesAdvanced Materials, EarlyView.
We present a photoresponsive platform that integrates SACs with halide perovskite supports, turning perovskite ion mobility, typically a stability concern, into a functional mechanism for light‐regulated self‐repair and reversible atomic reconfiguration. Adaptive metal‐support interactions are established through bandgap‐funnel engineering and the soft
Li Yu   +10 more
wiley   +1 more source

Prolegomena to a non-equilibrium quantum statistical mechanics

open access: yes, 1999
We suggest that the framework of quantum information theory, which has been developing rapidly in recent years due to intense activity in quantum computation and quantum communication, is a reasonable starting point to study non-equilibrium quantum ...
Adami, C., Cerf, N. J.
core   +2 more sources

De Rerum Natura: How Do Halide Perovskites Self‐Heal From Damage?

open access: yesAdvanced Materials, EarlyView.
How can lead‐halide‐perovskites self‐heal after damage from light, heat, mechanical strain, or radiation? We show that reversible chemical defects underly performance losses and recovery, highlighting the roles of halide and proton migration, redox‐driven reactions, and acid‐base equilibria.
Davide Raffaele Ceratti   +2 more
wiley   +1 more source

Surface Reordering During Layer‐by‐Layer Growth on SrTiO3

open access: yesAdvanced Materials, EarlyView.
Surface structures (left) derived from DFT‐constrained fitting to crystal truncation rods measured by synchrotron X‐ray scattering (right) after each monolayer of deposition during the MBE growth of SrTiO3${\rm SrTiO}_{3}$ (001). The bottom panel shows the bare substrate, the middle panel shows island formation upon deposition of a single layer of SrO,
I‐Cheng Tung   +14 more
wiley   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Low‐Dimensional MOF Nanoarchitectonics: Progress in MOF‐2D Material Hybrid Architectures for Energy Conversion and Storage

open access: yesAdvanced Materials, EarlyView.
This review highlights the integration of metal‐organic frameworks (MOFs) and two‐dimensional (2D) materials through dimensional interface engineering. By addressing intrinsic limitations like poor conductivity and agglomeration, these hybrid architectures optimize interfacial charge and mass transport.
Prashant Dubey   +7 more
wiley   +1 more source

Self‐Regulating Sodium‐Ion Battery Materials: From Phase Reconstruction to Functional Activation

open access: yesAdvanced Materials, EarlyView.
Self‐regulating sodium‐ion batteries hinge on programmable phase behavior in layered oxides, interphases that renew without growth, and electrolytes that steer solvation and chemistry. This review distills mechanisms into design rules that span composition, site and entropy tuning, and self‐buffering anodes, linking operando evidence to choices and ...
Hong Gao   +10 more
wiley   +1 more source

Fidelity-dissipation relations in quantum gates

open access: yesPhysical Review Research
Accurate quantum computing relies on the precision of quantum gates. However, quantum gates in practice are generally affected by dissipative environments, which can significantly reduce their fidelity.
Tan Van Vu   +2 more
doaj   +1 more source

Correlations as a resource in quantum thermodynamics. [PDF]

open access: yesNat Commun, 2019
Sapienza F, Cerisola F, Roncaglia AJ.
europepmc   +1 more source

Generative Models for Crystalline Materials

open access: yesAdvanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni   +15 more
wiley   +1 more source

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