Alkenyl/Thiol Co-Functionalized Titanium-Oxo Nanoclusters Enable Synergistic Lithography for Enhanced Resolution and Sensitivity by Zuohu Zhou (14258773)

“…Such dual cross-linkable group functionalization brought additional thiol–ene click reactions upon exposure to enhance intercluster polymerization, which significantly improved the lithography sensitivity of TOCs, with the required exposure energy being reduced by over 70% (decreasing from >1000 μC/cm² of alkenyl-TOC to <300 μC/cm² of alkenyl/thiol-TOC). …”

Defect-Triggered Reversible Phase Transformation for Boosting Electrochemical Performance of Coordination Polymers by Yixiu Xu (11166860)

“…Contrary to this common sense, here we demonstrate that both implanting defects and eliminating defects can significantly boost the specific capacitance of the defect-engineered CPs (DECPs), which are about 1.23 and 1.62 times that of the pristine CP, respectively, without loss of rate capability even after 10,000 charge–discharge cycles. …”

Raw data underlying the findings in this study. by Andrew Mvula (20161161)

“…The relative bone density significantly decreased as standard length and condition factor (<i>K</i>) increased in both sexes. …”

Defect-Triggered Reversible Phase Transformation for Boosting Electrochemical Performance of Coordination Polymers by Yixiu Xu (11166860)

“…Contrary to this common sense, here we demonstrate that both implanting defects and eliminating defects can significantly boost the specific capacitance of the defect-engineered CPs (DECPs), which are about 1.23 and 1.62 times that of the pristine CP, respectively, without loss of rate capability even after 10,000 charge–discharge cycles. …”

Effects of Nash equilibrium speed changes with the non-sensory motor algorithm on encounters, agent numbers, and payoffs. by Hiroyuki Ichijo (13891153)

Reconciliation services product value analysis. by Yu Zhang (12946)

“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”

Means of sampling data in the Shibing study area. by Yu Zhang (12946)

“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”

Technology roadmap. by Yu Zhang (12946)

“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”

Zunhua study area factor rotation results. by Yu Zhang (12946)

“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”

Value of ecological products in the study area. by Yu Zhang (12946)

“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”

Means of sampling data in the Zunhua study area. by Yu Zhang (12946)

“…The study reveals several key findings. (1) In the three study areas, afforestation significantly impacts the regulation of service product values. …”

Scheme of g-λ model with larger values λ. by Zhanfeng Fan (20390992)

“…The findings suggest that when λ is respectively equal to 4.19, 8.57, 10, and 12.15, the peak particle velocity (PPV) of the transmitted waves is significantly close to the incident wave amplitude. Furthermore, when λ is fixed, the energy transmission coefficient increases with the incident wave amplitude but decreases with the incident wave frequency. …”

Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

“…When the microtexture area occupancy is 50%, it is worth noting that the micropit and micropillar surfaces have nearly same roughness (<i>Sa</i>), but the Leidenfrost temperature was notably higher on the micropit surface with negative skewness (<i>Ssk</i> < 0), which was related to differences in vapor flow dynamics. We further find that the Weber number (<i>We</i>) significantly influences the Leidenfrost point, with the droplet impact wall behavior going through the states of film bounce back, ejecting tiny droplets and bounce back, and ultimately droplet breakup as the <i>We</i> increases. …”

Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

“…When the microtexture area occupancy is 50%, it is worth noting that the micropit and micropillar surfaces have nearly same roughness (<i>Sa</i>), but the Leidenfrost temperature was notably higher on the micropit surface with negative skewness (<i>Ssk</i> < 0), which was related to differences in vapor flow dynamics. We further find that the Weber number (<i>We</i>) significantly influences the Leidenfrost point, with the droplet impact wall behavior going through the states of film bounce back, ejecting tiny droplets and bounce back, and ultimately droplet breakup as the <i>We</i> increases. …”

Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

“…When the microtexture area occupancy is 50%, it is worth noting that the micropit and micropillar surfaces have nearly same roughness (<i>Sa</i>), but the Leidenfrost temperature was notably higher on the micropit surface with negative skewness (<i>Ssk</i> < 0), which was related to differences in vapor flow dynamics. We further find that the Weber number (<i>We</i>) significantly influences the Leidenfrost point, with the droplet impact wall behavior going through the states of film bounce back, ejecting tiny droplets and bounce back, and ultimately droplet breakup as the <i>We</i> increases. …”

Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

“…When the microtexture area occupancy is 50%, it is worth noting that the micropit and micropillar surfaces have nearly same roughness (<i>Sa</i>), but the Leidenfrost temperature was notably higher on the micropit surface with negative skewness (<i>Ssk</i> < 0), which was related to differences in vapor flow dynamics. We further find that the Weber number (<i>We</i>) significantly influences the Leidenfrost point, with the droplet impact wall behavior going through the states of film bounce back, ejecting tiny droplets and bounce back, and ultimately droplet breakup as the <i>We</i> increases. …”

Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

“…When the microtexture area occupancy is 50%, it is worth noting that the micropit and micropillar surfaces have nearly same roughness (<i>Sa</i>), but the Leidenfrost temperature was notably higher on the micropit surface with negative skewness (<i>Ssk</i> < 0), which was related to differences in vapor flow dynamics. We further find that the Weber number (<i>We</i>) significantly influences the Leidenfrost point, with the droplet impact wall behavior going through the states of film bounce back, ejecting tiny droplets and bounce back, and ultimately droplet breakup as the <i>We</i> increases. …”

Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

“…When the microtexture area occupancy is 50%, it is worth noting that the micropit and micropillar surfaces have nearly same roughness (<i>Sa</i>), but the Leidenfrost temperature was notably higher on the micropit surface with negative skewness (<i>Ssk</i> < 0), which was related to differences in vapor flow dynamics. We further find that the Weber number (<i>We</i>) significantly influences the Leidenfrost point, with the droplet impact wall behavior going through the states of film bounce back, ejecting tiny droplets and bounce back, and ultimately droplet breakup as the <i>We</i> increases. …”

Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

“…When the microtexture area occupancy is 50%, it is worth noting that the micropit and micropillar surfaces have nearly same roughness (<i>Sa</i>), but the Leidenfrost temperature was notably higher on the micropit surface with negative skewness (<i>Ssk</i> < 0), which was related to differences in vapor flow dynamics. We further find that the Weber number (<i>We</i>) significantly influences the Leidenfrost point, with the droplet impact wall behavior going through the states of film bounce back, ejecting tiny droplets and bounce back, and ultimately droplet breakup as the <i>We</i> increases. …”

Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

“…When the microtexture area occupancy is 50%, it is worth noting that the micropit and micropillar surfaces have nearly same roughness (<i>Sa</i>), but the Leidenfrost temperature was notably higher on the micropit surface with negative skewness (<i>Ssk</i> < 0), which was related to differences in vapor flow dynamics. We further find that the Weber number (<i>We</i>) significantly influences the Leidenfrost point, with the droplet impact wall behavior going through the states of film bounce back, ejecting tiny droplets and bounce back, and ultimately droplet breakup as the <i>We</i> increases. …”