Results 211 to 220 of about 26,563 (284)

Thermodynamically consistent modeling of granular soils using physics-informed neural networks. [PDF]

Sci Rep
Irani N, Salimi M, Wichtmann T.
europepmc   +1 more source

A coarse sand barrier as an alternative preventive measure against backward erosion piping [PDF]

, 2019
Akrami, Sepideh, Bezuijen, Adam, Förster, U., Koelewijn, A.R., Rosenbrand, E., van Beek, V.M., Voogt, L.   +6 more
core  

Evidence for local sources and trophic biomagnification of bisphenols in the Arctic. [PDF]

Environ Sci Ecotechnol
Min XZ, Chen F, Zhang ZZ, Wang L, Ali AM, Langberg HA, Hale SE, Breedveld GD, Jenssen BM, Mortensen ÅK, Ciesielski T, Gabrielsen GW, Ren NQ, Li YF, Zhang ZF, Kallenborn R.   +15 more
europepmc   +1 more source

Novel approaches to quantification of the vegetation effects on soil strength [PDF]

, 2017
Gonzalez Ollauri, Alejandro, Mickovski, Slobodan, Tardio, Guillermo   +2 more
core  

Nano-Bio Soil Improvement (NBSI) with Micro-, Nano-, and Pico- Typha latifolia: a green material approach. [PDF]

Sci Rep
Zeynali Y, Niroumand H, Moayed RZ.
europepmc   +1 more source

Biotransforming the "Forever Chemicals": Trends and Insights from Microbiological Studies on PFAS. [PDF]

Environ Sci Technol
Skinner JP, Raderstorf A, Rittmann BE, Delgado AG.   +3 more
europepmc   +1 more source

Microwave-Assisted Preparation of Coffee-Based Activated Carbons: Characteristics, Properties, and Potential Application as Adsorbents for Water Purification. [PDF]

Molecules
Pączkowski P, Kyshkarova V, Nikolenko V, Arkhipenko O, Melnyk I, Gawdzik B.   +5 more
europepmc   +1 more source

Research on surrounding rock deformation characteristics and support optimization measures for tunnel TBM crossing through fault fracture zones. [PDF]

Sci Rep
Lan F, Du W, Li R, He C, He J, Yan J.
europepmc   +1 more source

An innovative method to determine the stress-dependency of Poisson's ratio of granitic rocks. [PDF]

Sci Rep
Narimani S, Kovács L, Vásárhelyi B.
europepmc   +1 more source

Soil conditioning optimization of sandy pebble soil with different fine contents and prediction by machine learning. [PDF]

Sci Rep
Zhang X, Li H, Li Q, Zhang J, Hu Y.
europepmc   +1 more source