Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
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Correlation analysis of secondary metabolites, metal elements, and anti-BSA denaturation activity in different parts of <i>Rhododendron tomentosum</i> from China. [PDF]
Xiao S +7 more
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Can Elastomers Combine Stiffness, Toughness and Fatigue Resistance?
This review studies how the molecular and macroscopic architecture of elastomers influence their mechanical properties including: stiffness, stretchability, toughness, fatigue resistance, and damping behavior. By linking the structure to performance, it proposes design principles for advanced elastomeric systems that combine mechanical properties ...
Eva Baur, Esther Amstad
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Structural adaptations of aboveground vegetative organs to cangas: A case study with the Amazonian species Carajasia cangae R.M.Salas, E.L.Cabral & Dessein (Rubiaceae), which grows on ferruginous outcrops. [PDF]
Silva KR +7 more
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Phenotypic variation and diversity assessment in maize landraces. [PDF]
Wei L +9 more
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Mechanical Response and Low-Order Wave Propagation of Curved-Rod Compression-Torsion Coupled Metamaterials. [PDF]
Gao W, Zhu J.
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Morphological Characteristics of the Ulnar Nerve at the Wrist in a Vietnamese Population: A Descriptive Cadaveric Dissection Study. [PDF]
Phuong TN, Don LD.
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Contrasting Temporal Responses of Saproxylic Beetles and Their Natural Enemies to a Catastrophic Hurricane Disturbance. [PDF]
Novais S +5 more
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<i>Didiclis pseudobisulcata</i> (Selaginellaceae), a new species of the Bisulcata group from northern Thailand and southwest China. [PDF]
Gong SR +6 more
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Branch Runahead: An Alternative to Branch Prediction for Impossible to Predict Branches
MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021High performance microprocessors require high levels of instruction supply. Branch prediction has been the most important driver of this for nearly 30 years. Unfortunately, modern predictors are increasingly bottlenecked by hard-to-predict data-dependent branches that fundamentally cannot be predicted via a history based approach.
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