Self-driving laboratory for accelerated discovery of thin-film materials

BP MacLeod, FGL Parlane, TD Morrissey, F Häse… - Science …, 2020 - science.org
Discovering and optimizing commercially viable materials for clean energy applications
typically takes more than a decade. Self-driving laboratories that iteratively design, execute …

Optimizing Perovskite Thin‐Film Parameter Spaces with Machine Learning‐Guided Robotic Platform for High‐Performance Perovskite Solar Cells

J Zhang, B Liu, Z Liu, J Wu, S Arnold… - Advanced Energy …, 2023 - Wiley Online Library
Simultaneously optimizing the processing parameters of functional thin films remains a
challenge. The design and utilization of a fully automated platform called SPINBOT is …

Using deep machine learning to understand the physical performance bottlenecks in novel thin‐film solar cells

N Majeed, M Saladina, M Krompiec… - Advanced Functional …, 2020 - Wiley Online Library
There is currently a worldwide effort to develop materials for solar energy harvesting which
are efficient and cost effective, and do not emit significant levels of CO2 during manufacture …

Machine learning for high-throughput experimental exploration of metal halide perovskites

M Ahmadi, M Ziatdinov, Y Zhou, EA Lass, SV Kalinin - Joule, 2021 - cell.com
Metal halide perovskites (MHPs) have catapulted to the forefront of energy research due to
the unique combination of high device performance, low materials cost, and facile solution …

Continuing to soar

MD McGehee - Nature materials, 2014 - nature.com
Continuing to soar | Nature Materials Skip to main content Thank you for visiting nature.com.
You are using a browser version with limited support for CSS. To obtain the best experience …

Scaling of next generation solution processed organic and perovskite solar cells

P Meredith, A Armin - Nature communications, 2018 - nature.com
Why, despite considerable R&D efforts and significant translational investment over the past
20 years, has the technology of solution-processed thin film solar cells not become a …

Elucidating the full potential of OPV materials utilizing a high-throughput robot-based platform and machine learning

X Du, L Lüer, T Heumueller, J Wagner, C Berger… - Joule, 2021 - cell.com
Evaluating the potential of organic photovoltaic (OPV) materials and devices for industrial
production is a multidimensional optimization process with an incredibly large parameter …

Templated microstructural growth of perovskite thin films via colloidal monolayer lithography

MT Hörantner, W Zhang, M Saliba… - Energy & …, 2015 - pubs.rsc.org
Organic–inorganic metal halide perovskites have led to remarkable advancements in
emerging photovoltaics with power conversion efficiencies (PCEs) already achieving 20 …

Tailoring solvent coordination for high-speed, room-temperature blading of perovskite photovoltaic films

Y Deng, CH Van Brackle, X Dai, J Zhao, B Chen… - Science …, 2019 - science.org
The efficiencies of small-pixel perovskite photovoltaics have increased to above 24%, while
most reported fabrication methods cannot be transferred to scalable manufacturing process …

Organic and perovskite solar modules innovated by adhesive top electrode and depth-resolved laser patterning

GD Spyropoulos, COR Quiroz, M Salvador… - Energy & …, 2016 - pubs.rsc.org
We demonstrate an innovative solution-processing fabrication route for organic and
perovskite solar modules via depth-selective laser patterning of an adhesive top electrode …