Results 91 to 100 of about 65,311 (166)

Development of an optimized deep learning model for predicting slope stability in nano silica stabilized soils. [PDF]

Sci Rep
Thapa I, Ghani S, Paramasivam P, Tufa MA.   +3 more
europepmc   +1 more source

Mechanisms Underpinning Dynamic Impact Resistance Reinforcement by Multi-Scale Synergistic Effect Through Nano-Silica and Carbon Hollow Microsphere. [PDF]

Polymers (Basel)
Yu Y, Yang C, Zhang Y, Wang L, Wang H, Meng F, Meng F, Wang T, Luo Z.   +8 more
europepmc   +1 more source

Synthesis and Application of Sol-Gel-Derived Nano-Silica in Glass Ionomer Cement for Dental Cementation. [PDF]

Biomimetics (Basel)
Utama MD, Ariani N, Machmud E, Mude AH, Dharma MAT, Taqwim A, Risnawati R.   +6 more
europepmc   +1 more source

Bioharvesting and improvement of nano-silica yield from bagasse by irradiated Curvularia spicifera. [PDF]

BMC Microbiol
Zaki AG, Yousef SA, Hasanien YA.
europepmc   +1 more source

Performance Evaluation of Nano-Silica-Reinforced Mortar Containing Waste Tire Rubber and Recycled Fine Aggregate: Mechanical Properties, Frost Resistance, and Microstructure Assessment. [PDF]

Nanomaterials (Basel)
Yan Y, Chen G, Chen H, Li Z.
europepmc   +1 more source

The Size Effects of Modified Nano-Silica on the Physical Properties of Resorcinol-Poly(acrylamide-co-2-acrylamido-2-methylpropanesulfonic acid) Gels in Harsh Reservoir Conditions. [PDF]

Gels
Zhong X, Yang Y, Chen J, Dong Y, Lei S, Zhao H, He H, Chen L.   +7 more
europepmc   +1 more source

Tailoring cell behaviour by surface micropatterning and interconnected porous structure of gelatin/nano-silica/PLGA 3D composite scaffold for bone tissue engineering. [PDF]

RSC Adv
Putri NRE, Chen H, Kawazoe N, Rose FRAJ, Wildman RD, Chen G.   +5 more
europepmc   +1 more source

Physiological basis of nano-silica deposition-related improvement in aluminum tolerance in pea (<i>Pisum sativum</i>). [PDF]

Front Plant Sci
Feng Y, Zheng Y, Nong W, Chen X, Wang Z, Zeng P, Li X, Sergey S, Shi L, Yu M.   +9 more
europepmc   +1 more source

Machine learning predictions of high-strength RCA concrete utilizing chemically activated fly ash and nano-silica. [PDF]

Sci Rep
Khan MA, Ashraf MS, Onyelowe KC, Tariq KA, Ahmed M, Ali T, Qureshi MZ.   +6 more
europepmc   +1 more source