Machine learning in perovskite solar cells: recent developments and future perspectives
Within a short period of time, perovskite solar cells (PSC) have attracted paramount research
interests among the photovoltaic (PV) community. Usage of machine learning (ML) into PSC …
interests among the photovoltaic (PV) community. Usage of machine learning (ML) into PSC …
Machine learning roadmap for perovskite photovoltaics
Perovskite solar cells (PSC) are a favorable candidate for next-generation solar systems
with efficiencies comparable to Si photovoltaics, but their long-term stability must be proven …
with efficiencies comparable to Si photovoltaics, but their long-term stability must be proven …
Secondary ion mass spectrometry (SIMS) for chemical characterization of metal halide perovskites
Metal halide perovskite (MHP) solar cells have attracted much attention due to the rapidly
growing power conversion efficiency that has reached 25.2% in a decade, comparable to …
growing power conversion efficiency that has reached 25.2% in a decade, comparable to …
Exploring the relationship of microstructure and conductivity in metal halide perovskites via active learning-driven automated scanning probe microscopy
Electronic transport and hysteresis in metal halide perovskites (MHPs) are key to the
applications in photovoltaics, light emitting devices, and light and chemical sensors. These …
applications in photovoltaics, light emitting devices, and light and chemical sensors. These …
Plasmon-Driven Reaction Selectivity Tuning for Photoelectrochemical H2O2 Production
Photoelectrochemical (PEC) H2O2 production has gained interest as a green, promising
route to produce valuable chemicals. However, it suffers from low H2O2 Faradaic efficiency …
route to produce valuable chemicals. However, it suffers from low H2O2 Faradaic efficiency …
Image-based machine learning for materials science
Materials research studies are dealing with a large number of images, which can now be
facilitated via image-based machine learning techniques. In this article, we review recent …
facilitated via image-based machine learning techniques. In this article, we review recent …
Direct observation of photoinduced ion migration in lead halide perovskites
Unique optoelectronic, electronic, and sensing properties of hybrid organic–inorganic
perovskites (HOIPs) are underpinned by the complex interactions between electronic and …
perovskites (HOIPs) are underpinned by the complex interactions between electronic and …
Disentangling electronic transport and hysteresis at individual grain boundaries in hybrid perovskites via automated scanning probe microscopy
Underlying the rapidly increasing photovoltaic efficiency and stability of metal halide
perovskites (MHPs) is the advancement in the understanding of the microstructure of …
perovskites (MHPs) is the advancement in the understanding of the microstructure of …
Machine learning for perovskites' reap-rest-recovery cycle
Perovskite photovoltaics are efficient and inexpensive, yet their performance is dynamic. In
this Perspective, we examine the effects of H 2 O, O 2, bias, temperature, and illumination on …
this Perspective, we examine the effects of H 2 O, O 2, bias, temperature, and illumination on …
Time-resolved electrical scanning probe microscopy of layered perovskites reveals spatial variations in photoinduced ionic and electronic carrier motion
We study light-induced dynamics in thin films comprising Ruddlesden–Popper phases of the
layered 2D perovskite (C4H9NH3) 2PbI4. We probe ionic and electronic carrier dynamics …
layered 2D perovskite (C4H9NH3) 2PbI4. We probe ionic and electronic carrier dynamics …