Results 71 to 80 of about 13,125 (213)

A Substrate-Dissipating (SD) Mechanism for a Ruggedness-Improved SOI LDMOS Device

open access: yesIEEE Journal of the Electron Devices Society, 2018
An SOI LDMOS device with improved ruggedness under unclamped inductive switching (UIS) is described based on the substrate-dissipating (SD) mechanism.
Bing Wang, Zhigang Wang, James B. Kuo
doaj   +1 more source

Avalanche effect for chemically modified dust mitigation from surfaces. [PDF]

open access: yesSci Rep, 2021
Adukwu JE   +9 more
europepmc   +1 more source

Evolution of Physical Intelligence Across Scales

open access: yesAdvanced 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   +7 more
wiley   +1 more source

Electro-Thermal Coupled Modeling of SPADs Considering Avalanche Self-Heating Effects

open access: yesInventions
The performance of single-photon avalanche diodes (SPADs) is highly dependent on the operating temperature, while traditional SPAD models neglect the self-heating effect induced by avalanche current during long-term device operation, leading to ...
Chunwang Wang   +3 more
doaj   +1 more source

Observations and numerical simulations of the braking effect of forests on large-scale avalanches

open access: yesAnnals of Glaciology, 2018
Although the disaster reduction effects of forest braking have long been known empirically, they have not been known in detail down to recent. In this study, we ascertained forest braking effect by numerical simulations using the avalanche dynamics ...
Yukari Takeuchi   +2 more
doaj   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

open access: yesAdvanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica   +38 more
wiley   +1 more source

A Systemic Model for Understanding Business Interactions With Biodiversity and Ecosystems

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Biodiversity loss and ecosystem degradation represent critical threats to human well‐being and economic resilience, challenging businesses to understand and manage their interdependence with natural systems. This study develops a systemic framework—the BioModel—that elucidates the reciprocal relationship between businesses, biodiversity, and ...
Lino Cinquini   +2 more
wiley   +1 more source

Dynamic fragmentation characteristics of rock avalanche with tectonic joints

open access: yesZhongguo dizhi zaihai yu fangzhi xuebao
In recent years, rock avalanche disasters have been occurring frequently in southwest China, which seriously affect the regional ecological environment and human activities.
Jiayuan ZANG   +7 more
doaj   +1 more source

Embedding a Dinuclear Ru─Pt Photocatalyst Into Polyampholytic Graft Copolymer Matrix Enables Prolonged Hydrogen Evolution While Allowing Catalyst Repair

open access: yesChemistry – A European Journal, EarlyView.
A unimolecular polyampholytic graft copolymer matrix provides a protective confinement for an electrostatically embedded tetrapyridophenazine‐bridged heterodinuclear Ru‐Pt hydrogen evolving photocatalyst. The matrix slows the degradation kinetics of the catalyst and at the same time does not hinder its repair by ammonium persulfate.
Yurii Utievskyi   +10 more
wiley   +1 more source

Dynamic Calibration of DEM Simulations Using Rotating Drum Experiments Using the Mean Absolute Error

open access: yesChemie Ingenieur Technik, EarlyView.
Calibrating DEM simulations is challenging due to unknown microscopic parameters. Rotating drum experiments are combined with image‐based analysis and Latin Hypercube Sampling (LHS). An area‐based Mean Absolute Error (MAE) enables reliable identification of optimal parameter sets.
Marius Hoffmann   +2 more
wiley   +1 more source

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