Results 111 to 120 of about 131,952 (276)

Baryon inhomogeneity generation via cosmic strings at QCD scale and its effects on nucleosynthesis

open access: yes, 2002
We have earlier shown that cosmic strings moving through the plasma at the time of a first order quark-hadron transition in the early universe can generate large scale baryon inhomogeneities.
A. Heckler   +30 more
core   +3 more sources

Cockroach‐Derived Leucokinin VIII Peptide Accelerates Diabetic Skin Wound Healing by Enhancing Keratinocyte Filopodia Formation

open access: yesAdvanced Science, EarlyView.
This study identifies the cockroach‐derived peptide leucokinin VIII as a potent accelerator of diabetic wound healing. By activating the FAK‐ACTG1 axis, the peptide drives keratinocyte migration and filopodia formation. Delivered via a developed PLGA‐PEG‐PLGA thermosensitive hydrogel for sustained release, this approach significantly hastens wound ...
Zhengshan Qin   +11 more
wiley   +1 more source

Application of Shock Absorber based on Bit-rock Interaction

open access: yesShiyou jixie, 2022
In order to obtain the optimal parameters of shock absorber and thus reduce the downhole vibration intensity in the process of rock-breaking drilling of bit,on the basis of considering the dynamic coupling of drill string,bit and rock system,taking the ...
Hu Zhiqiang   +5 more
doaj  

Thermodynamic Properties of the 2N-Piece Relativistic String

open access: yes, 2002
The thermodynamic free energy F(\beta) is calculated for a gas consisting of the transverse oscillations of a piecewise uniform bosonic string.
Andrei A. Bytsenko   +13 more
core   +2 more sources

Current‐Driven Nonreciprocal Response of Nonequilibrium Skyrmions

open access: yesAdvanced Science, EarlyView.
A skyrmion holds great promise for spintronic applications owing to its intrinsic topological stability and high mobility under ultra‐low current excitation. Here, by means of in situ electron microscopy, we demonstrate a skyrmion diode effect and the associated current‐driven nonreciprocal skyrmion dynamics in a designed FeGe‐based microdevice.
Xiuzhen Yu   +10 more
wiley   +1 more source

Velocity - for string quartet [PDF]

open access: yes, 2012
Velocity (composed in 2012) is a companion piece to my earlier Vertigo quartet (based on Bernard Herrmann’s film music). Velocity doesn’t quote directly from Herrmann but does emulate the ‘sighing’ cadential gestures which are a striking characteristic ...
Lancaster, David
core  

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

open access: yesAdvanced 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

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

The bowed string as the two-terminal oscillator

open access: yesArchives of Acoustics, 2016
The paper presents a method of the evaluation of the shape of bowed string oscillations. The method employs the analogy between the bowed string and the electrical, two-terminal oscillator.
Gustaw BUDZYŃSKI, Andrzej KULOWSKI
doaj  

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

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