TY  - JOUR
A1  - Omarova, Zhansaya
A1  - Yerezhep, Darkhan
A1  - Aldiyarov, Abdurakhman
A1  - Tokmoldin, Nurlan
T1  - In Silico Investigation of the Impact of Hole-Transport Layers on the Performance of CH3NH3SnI3 Perovskite Photovoltaic Cells
JF  - Crystals
N2  - Perovskite solar cells represent one of the recent success stories in photovoltaics. The device efficiency has been steadily increasing over the past years, but further work is needed to enhance the performance, for example, through the reduction of defects to prevent carrier recombination. SCAPS-1D simulations were performed to assess efficiency limits and identify approaches to decrease the impact of defects, through the selection of an optimal hole-transport material and a hole-collecting electrode. Particular attention was given to evaluation of the influence of bulk defects within light-absorbing CH3NH3SnI3 layers. In addition, the study demonstrates the influence of interface defects at the TiO2/CH3NH3SnI3 (IL1) and CH3NH3SnI3/HTL (IL2) interfaces across the similar range of defect densities. Finally, the optimal device architecture TiO2/CH3NH3SnI3/Cu2O is proposed for the given absorber layer using the readily available Cu2O hole-transporting material with PCE = 27.95%, FF = 84.05%, V-OC = 1.02 V and J(SC) = 32.60 mA/cm(2), providing optimal performance and enhanced resistance to defects.
KW  - perovskite solar cells
KW  - CH3NH3SnI3
KW  - SCAPS-1D
KW  - modeling
KW  - HTL
Y1  - 2022
U6  - https://doi.org/10.3390/cryst12050699
SN  - 2073-4352
VL  - 12
IS  - 5
PB  - MDPI
CY  - Basel
ER  - 
TY  - CHAP
A1  - Haase, Jennifer
A1  - Thim, Christof
A1  - Bender, Benedict
ED  - Marrella, Andrea
ED  - Weber, Barbara
T1  - Expanding modeling notations
BT  - requirements for creative process modeling
T2  - Business process management workshops
N2  - Creativity is a common aspect of business processes and thus needs a proper representation through process modeling notations. However, creative processes constitute highly flexible process elements, as new and unforeseeable outcome is developed. This presents a challenge for modeling languages. Current methods representing creative-intensive work are rather less able to capture creative specifics which are relevant to successfully run and manage these processes. We outline the concept of creative-intensive processes and present an example from a game design process in order to derive critical process aspects relevant for its modeling. Six aspects are detected, with first and foremost: process flexibility, as well as temporal uncertainty, experience, types of creative problems, phases of the creative process and individual criteria. By first analyzing what aspects of creative work modeling notations already cover, we further discuss which modeling extensions need to be developed to better represent creativity within business processes. We argue that a proper representation of creative work would not just improve the management of those processes, but can further enable process actors to more efficiently run these creative processes and adjust them to better fit to the creative needs.
KW  - modeling
KW  - requirements
KW  - pockets of creativity
KW  - creative process
Y1  - 2022
SN  - 978-3-030-94342-4
SN  - 978-3-030-94344-8
SN  - 978-3-030-94343-1
U6  - https://doi.org/10.1007/978-3-030-94343-1_15
VL  - 436
SP  - 197
EP  - 208
PB  - Springer
CY  - Cham
ER  - 
TY  - JOUR
A1  - Abramova, Olga
A1  - Batzel, Katharina
A1  - Modesti, Daniela
T1  - Collective response to the health crisis among German Twitter users
BT  - a structural topic modeling approach
JF  - International Journal of Information Management Data Insights
N2  - We used structural topic modeling to analyze over 800,000 German tweets about COVID-19 to answer the questions: What patterns emerge in tweets as a response to a health crisis? And how do topics discussed change over time? The study leans on the goals associated with the health information seeking (GAINS) model, discerning whether a post aims at tackling and eliminating the problem (i.e., problem-focused) or managing the emotions (i.e., emotion-focused); whether it strives to maximize positive outcomes (promotion focus) or to minimize negative outcomes (prevention focus). The findings indicate four clusters salient in public reactions: 1) “Understanding” (problem-promotion); 2) “Action planning” (problem-prevention); 3) “Hope” (emotion-promotion) and 4) “Reassurance” (emotion-prevention). Public communication is volatile over time, and a shift is evidenced from self-centered to community-centered topics within 4.5 weeks. Our study illustrates social media text mining's potential to quickly and efficiently extract public opinions and reactions. Monitoring fears and trending topics enable policymakers to rapidly respond to deviant behavior, like resistive attitudes toward containment measures or deteriorating physical health. Healthcare workers can use the insights to provide mental health services for battling anxiety or extensive loneliness from staying home.
KW  - social media
KW  - Twitter
KW  - modeling
KW  - regulatory focus theory
KW  - crisis management
KW  - text mining
Y1  - 2022
U6  - https://doi.org/10.1016/j.jjimei.2022.100126
SN  - 2667-0968
VL  - 2
IS  - 2
PB  - Elsevier
CY  - Amsterdam
ER  -