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A propos de cet article
Formule linéaire :
Li
Numéro CAS:
Poids moléculaire :
6.94
NACRES:
NA.23
PubChem Substance ID:
UNSPSC Code:
12141803
MDL number:
Service technique
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99.9%
form
foil
manufacturer/tradename
Goodfellow 402-666-82
resistivity
9.446 μΩ-cm, 20°C
size × thickness
38x500 mm × 0.20 mm
bp
1342 °C (lit.)
mp
180 °C (lit.)
density
0.534 g/mL at 25 °C (lit.)
SMILES string
[Li]
InChI
1S/Li
InChI key
WHXSMMKQMYFTQS-UHFFFAOYSA-N
General description
For updated SDS information please visit www.goodfellow.com.
Application
- A retrospective on lithium-ion batteries: This article reviews the contributions in the development of lithium-ion batteries, discussing inspirational insights to guide future breakthroughs in battery technology (J Xie, YC Lu, 2020).
- Guidelines and trends for next-generation rechargeable lithium and lithium-ion batteries: This review discusses the limitations of commercial lithium-ion batteries and explores the directions for next-generation batteries (F Wu, J Maier, Y Yu, 2020).
- Prospects for lithium-ion batteries and beyond—a 2030 vision: This article explores the future of lithium-ion batteries and discusses current strategies to improve these and next-generation battery technologies (CP Grey, DS Hall, 2020).
- Lithium brines: A global perspective: This study offers a global perspective on lithium brines, discussing the critical and technologically important roles of lithium, which is in increasing demand (LA Munk, SA Hynek, DC Bradley, D Boutt, K Labay, 2016).
Legal Information
Product of Goodfellow
Classe de stockage
4.3 - Hazardous materials which set free flammable gases upon contact with water
wgk
WGK 1
flash_point_f
Not applicable
flash_point_c
Not applicable
signalword
Danger
hcodes
Hazard Classifications
Skin Corr. 1B - Water-react. 1
supp_hazards
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Throughout the past decades, several methods have been developed to achieve therapeutic lithium blood levels as quick and safe as possible. The present study will systematically review the methods developed and studied for lithium dose estimation or level prediction at
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Yolk/shell or 'rattle-typed' nanomaterials with nanoparticle cores inside hollow shells are interesting among the complex hollow nanostructures. Yolk/shell nanoparticles (YSNs) are promising functional nanomaterials for a variety of applications such as catalysis, delivery, lithium-ion batteries and biosensors due to their

