[Elsevier] Data-driving risk assessment and prediction of hydrogen energy system based on integrated machine learning methods |
|
This post will be closed automatically in 2026-10-20 14:16
Reward10points
|
| |
post
reply
points
2190
10
Biomass-plastic Co-pyrolysis for sustainable biochar: Mechanisms, reactor technologies, and circular-carbon applications
20
The double-edged characteristics of the soaking time during hydrate dissociation by periodic depressurization combined with hot water injection
10
3D bioprinting of tissues and organs
10
Dendrobium polysaccharide-based microneedles loaded with Celosia cristata flavonoids and adapalene nanoparticles for efficacious treatment of acne vulgaris
10
Multifunctional porous NiCo bimetallic foams toward water splitting and methanol oxidation-assisted hydrogen production
