WSe2 (Tungsten diselenide)
2D materials anisotropic
17 datasets, together covering 0.193–59.96 µm. Default: Hsu et al. 2019: monolayer (1L) film; n,k 0.40–0.85 µm.
Compare datasets
Tick datasets in the list to add them to the plot (up to 12).
Datasets
2D structures
- Hsu et al. 2019: monolayer (1L) film; n,k 0.40–0.85 µm
- Hsu et al. 2019: 2-layer (2L) film; n,k 0.40–0.85 µm
- Hsu et al. 2019: 3-layer (3L) film; n,k 0.40–0.85 µm
- Jin et al. 2025: monolayer (1L) film; n,k 30–60 µm
- Ermolaev et al. 2021: monolayer (1L) film; n,k 0.30–1.70 µm
- Jung et al. 2019: monolayer (1L) film; n,k 0.38–0.89 µm
- Gu et al. 2019: monolayer (1L) film; n,k 0.193–1.69 µm
- Gu et al. 2019: 2-layer (2L) film; n,k 0.193–1.69 µm
- Gu et al. 2019: 3-layer (3L) film; n,k 0.193–1.69 µm
- Gu et al. 2019: 4-layer (4L) film; n,k 0.193–1.69 µm
- Gu et al. 2019: 5-layer (5L) film; n,k 0.193–1.69 µm
Multilayer flakes
Nanoparticles
Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# WSe2 (Tungsten diselenide): Hsu et al. 2019: monolayer (1L) film; n,k 0.40–0.85 µm
wse2 = ls.fetch_refractiveindex("main", "WSe2", "Hsu-1L", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(wse2.range_nm) # (396.97, 850.23) nm
eps = wse2.eps([633]) # complex permittivityDownloads the original record once (pinned to the imported snapshot) and caches it.
import json, urllib.request
import lightsmith as ls
url = "https://materials.lightsmith.dev/v1/datasets/ds_120bef15fa90/lightsmith"
wse2 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(wse2.source) # citation and provenance travel with the dataAny dataset here, as the library's Tabulated material (wse2/hsu-2019-1l).
# ... load wse2 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=wse2)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=400, stop_nm=850, num=81),
)
res = ls.solve(sim) # exact Mie for a sphere
print(res.q_ext) # extinction efficiency at each wavelengthSame spec runs with DDA, FDTD, BEM or T-matrix: ls.compare(sim, ["mie", "dda"]).
Lightsmith is open source (MIT): Mie, T-matrix, BEM, DDA, FDTD, RCWA, TMM, mode solvers and inverse design behind one spec, on CPU or GPU. GitHub.
About WSe2 (Tungsten diselenide)
Tungsten diselenide (WSe2) is a member of the transition metal dichalcogenide (TMD) family, known for its distinctive layered structure. The individual layers are bound by weak van der Waals interactions, allowing for exfoliation into atomically thin sheets. In its monolayer form, WSe2 possesses a direct bandgap, distinguishing it from its bulk indirect bandgap property. This unique characteristic renders WSe2 as a prime candidate for optoelectronic applications, including photodetectors, light-emitting diodes (LEDs), and even photovoltaic devices. It has also been explored in the fabrication of field-effect transistors and quantum devices. The intriguing electronic and optical attributes of WSe2, especially when interfaced with other 2D materials, have garnered significant attention in advanced materials research.
Other names: Tungsten diselenide
API: /v1/materials/mat_164622a6585c · slug wse2