|
I.
Aqueous Metal Batteries |
- We started our research on aqueous Zn-ion
batteries since 2018 when we published the first review paper (Recent
advances in Zn-ion batteries, Adv. Funct.
Mater. 2018).
- Our interests is to increase the
durability and energy density of AZB by fighting the challenges
associated with cathode, Zn anode, and electrolyte.
- Zn metal is currently a popular anode for
AZB. It needs to be stablized by many interesting methods
such as hydrogel, zeolites,
LbL organic
layer, and MXene membrane.
Artificial SEIs in AZB may not be as effective as spontaneous SEI but
it renders interesting new sciences.
- Electrolyte engineering is the key to
tailoring both cathode and anode interfaces. Additives,
ionic liquid,
eutectic,
cocktail, single-ion conductor, etc are being
researched. Our interests and aim are to realize dual function for improveing both cathode
and anode in one cell.
- In particular, we have progressively
improved the
hydrogel
function from pure
anode protection, heterogeneous
bilayer, cation-conduction
dominance, to in-situ
spontaneous electropolymerization. Lots of fun with hydrogel
which may enable smart batteries.
- Occasionally, we design unique battery
devices such as decoupled
Zn-S battery, Zn-Na
dual-ion battery, paper batteries, self-charging
Zn battery.
- While
we are loyal to manganese
oxides and nickel oxide cathodes, we are also fan of conversion type
oxides which is mainly iodine (or ZnI2) cathode. The
community is extending to other types of aqueous
batteries (such as Sulfur, Tin, Bromide, Selenium based). We
are interested but we act very slowly - my bad.
|
II.
Sodium-Ion Batteries |
|
III.
Electrocatalysis |
- We develop new electrocatalysts for interesting process including HER, OER, ORR, and CO2RR. We are also
fabricating devices to integrate energy conversion
and storage functions.
- Catalysts include single-metal or
dual-metal atoms, atomic clusters, TMD layered materials,
amorphous materials, etc.
- We dive deep
into the working mechanism and understand various beneficial effects on the intrinsic activity, including
biaxial strain, electronegativity, in-situ surface adsorption,
and atomic defects. Machine learning
for material screening and descriptor indentification is also being attempted - quite fun.
|
|
|