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The ever increasing library of materials systems developed for organic solar-cells, including highly promising non-fullerene acceptors and new, high-efficiency donor polymers, demands the development of methodologies that i) allow fast screening of a large number of donor:acceptor combinations prior to device fabrication and ii) permit rapid elucidation of how processing affects the final morphology/microstructure of the device active layers. Efficient, fast screening will ensure that important materials combinations are not missed; it will accelerate the technological development of this alternative solar-cell platform toward larger-area production; and it will permit understanding of the structural changes that may occur in the active layer over time. Using the relatively high-efficiency poly[(5,6-difluoro-2,1,3-benzothiadiazol-4,7-diyl)-alt-(3,3'''-di(2-octyldodecyl)-2,2';5',2'';5'',2'''-quaterthiophen-5,5'''-diyl)] (PCE11):phenyl-C61-butyric acid-methyl-ester acceptor (PCBM) blend systems, it is demonstrated that by means of straight-forward thermal analysis, vapor-phase-infiltration imaging, and transient-absorption spectroscopy, various blend compositions and processing methodologies can be rapidly screened, information on promising combinations can be obtained, reliability issues with respect to reproducibility of thin-film formation can be identified, and insights into how processing aids, such as nucleating agents, affect structure formation, can be gained.

Neurohybrid systems have gained large attention for their potential as in vitro and in vivo platform to interrogate and modulate the activity of cells and tissue within nervous system. In this scenario organic neuromorphic devices have been engineered as bioelectronic platforms to resemble characteristic neuronal functions. However, aiming to a functional communication with neuronal cells, material synthesis, and surface engineering can yet be exploited for optimizing bio‐recognition processes at the neuromorphic‐neuronal hybrid interface. In this work, artificial neuronal‐inspired lipid bilayers have been assembled on an electrochemical neuromorphic organic device (ENODe) to resemble post‐synaptic structural and functional features of living synapses. Here, synaptic conditioning has been achieved by introducing two neurotransmitter‐mediated biochemical signals, to induce an irreversible change in the device conductance thus achieving Pavlovian associative learning. This new class of in vitro devices can be further exploited for assembling hybrid neuronal networks and potentially for in vivo integration within living neuronal tissues. [ABSTRACT FROM AUTHOR]

Over the last few years, organic bioelectronics has experienced an exponential growth with applications encompassing platforms for tissue engineering, drug delivery systems, implantable, and wearable sensors. Although reducing the physical and mechanical mismatch with the human tissues allows to increase the coupling efficiency, several challenges are still open in terms of matching biological curvature, size, and interface stiffness. In this context, the replacement of bulky with more flexible and conformable devices is required, implying the transition from inorganic conventional electronics to organic electronics. Indeed, the advent of organic materials in bioelectronics, due to the indisputable benefits related to biocompatibility, flexibility, and electrical properties, has granted superior coupling properties with human tissues increasing the performances of both sensing and stimulation platforms. In this review the ease of functionalization and patterning of conductive polymers (CPs) will be analyzed as a strategy that enables the fabrication of platforms with high structural flexibility ranging from the macro to the micro/nano‐scales, leading to the increase of devices sensitivity. Drawing from the concept of biomimicry, the human body tissues interfaces will be explored through an ideal journey starting from organic platforms for epidermal sensing and stimulation. Then, devices capable of establishing a dynamic coupling with the heart will be reviewed and finally, following the circulatory system and crossing the blood‐brain barrier, the brain will be reached and novel sensing and computing implants advances that pave the way to the possibility to emulate as well as to interact with the neural functions will be analyzed. [ABSTRACT FROM AUTHOR]