Machine learning with knowledge constraints for process optimization of open-air perovskite solar cell manufacturing

Elucidating the Full Potential of OPV Materials Utilizing a High-Throughput Robot-Based Platform and Machine Learning

(2021) Xiaoyan Du et al.   Joule

Bayesian reaction optimization as a tool for chemical synthesis

(2021) Benjamin J. Shields et al.   NATURE

Efficient perovskite solar cells via improved carrier management

(2021) Jason J. Yoo et al.   NATURE

Discovery of temperature-induced stability reversal in perovskites using high-throughput robotic learning

(2021) Yicheng Zhao et al.   Nature Communications

Two-step machine learning enables optimized nanoparticle synthesis

(2021) Flore Mekki-Berrada et al.   npj Computational Materials

Pressing challenges in halide perovskite photovoltaics—from the atomic to module level

(2021) Carlo A.R. Perini et al.   Joule

A bilayer conducting polymer structure for planar perovskite solar cells with over 1,400 hours operational stability at elevated temperatures

(2021) Yicheng Zhao et al.   Nature Energy

Accelerated discovery of 3D printing materials using data-driven multiobjective optimization

(2021) Timothy Erps et al.   Science Advances

Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains

(2021) Qiaohao Liang et al.   npj Computational Materials

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

(2021) Mahshid Ahmadi et al.   Joule

Closed-loop optimization of fast-charging protocols for batteries with machine learning

(2020) Peter M. Attia et al.   NATURE

A Bayesian experimental autonomous researcher for mechanical design

(2020) Aldair E. Gongora et al.   Science Advances

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

(2020) B. P. MacLeod et al.   Science Advances

A mobile robotic chemist

(2020) Benjamin Burger et al.   NATURE

Development of Spray-Coated Perovskite Solar Cells

(2020) James E. Bishop et al.   ACS Applied Materials & Interfaces

A Review on Scaling Up Perovskite Solar Cells

(2020) Daiyu Li et al.   ADVANCED FUNCTIONAL MATERIALS

Device Performance of Emerging Photovoltaic Materials (Version 1)

(2020) Osbel Almora et al.   Advanced Energy Materials

Rapid Open-Air Fabrication of Perovskite Solar Modules

(2020) Nicholas Rolston et al.   Joule

Active learning in materials science with emphasis on adaptive sampling using uncertainties for targeted design

(2019) Turab Lookman et al.   npj Computational Materials

Rapid Aqueous Spray Fabrication of Robust NiO x : A Simple and Scalable Platform for Efficient Perovskite Solar Cells

(2019) William J. Scheideler et al.   Advanced Energy Materials

Bayesim: A tool for adaptive grid model fitting with Bayesian inference

(2019) Rachel Kurchin et al.   COMPUTER PHYSICS COMMUNICATIONS

Polyelemental, Multicomponent Perovskite Semiconductor Libraries through Combinatorial Screening

(2019) Michael Saliba   Advanced Energy Materials

Perovskite Ink with an Ultrawide Processing Window for Efficient and Scalable Perovskite Solar Cells in Ambient Air

(2019) Jian Su et al.   ACS Applied Materials & Interfaces

How To Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics

(2018) Bing Cao et al.   ACS Nano

Rapid route to efficient, scalable, and robust perovskite photovoltaics in air

(2018) Florian Hilt et al.   Energy & Environmental Science

Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning

(2018) Prasanna V. Balachandran et al.   Nature Communications

Scalable fabrication of perovskite solar cells

(2018) Zhen Li et al.   Nature Reviews Materials

Controlling an organic synthesis robot with machine learning to search for new reactivity

(2018) Jarosław M. Granda et al.   NATURE

Visualization and suppression of interfacial recombination for high-efficiency large-area pin perovskite solar cells

(2018) Martin Stolterfoht et al.   Nature Energy

Failure statistics for commercial lithium ion batteries: A study of 24 pouch cells

(2017) Stephen J. Harris et al.   JOURNAL OF POWER SOURCES

Autonomy in materials research: a case study in carbon nanotube growth

(2016) Pavel Nikolaev et al.   npj Computational Materials

Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting

(2012) Niranjan Srinivas et al.   IEEE TRANSACTIONS ON INFORMATION THEORY