@article{HungenbergChenZhangetal.2001, author = {Hungenberg, K.-D. and Chen, C.-C. and Zhang, F. and Wulkow, Michael and Stubbe, G. and Nieken, U.}, title = {Design of Polymer Processes Using the Coupling of Commercial Simulation Packages Polymers Plus and PREDICI}, volume = {137}, journal = {DECHEMA Monographs}, pages = {237 -- 245}, year = {2001}, language = {en} } @article{ReimersBiczyskoBruceetal.2016, author = {Reimers, Jeffrey R. and Biczysko, Malgorzata and Bruce, Douglas and Coker, David F. and Frankcombe, Terry J. and Hashimoto, Hideki and Hauer, J{\"u}rgen and Jankowiak, Ryszard and Kramer, Tobias and Linnanto, Juha and Mamedov, Fikret and M{\"u}h, Frank and R{\"a}tsep, Margus and Renger, Thomas and Styring, Stenbj{\"o}rn and Wan, Jian and Wang, Zhuan and Wang-Otomo, Zheng-Yu and Weng, Yu-Xiang and Yang, Chunhong and Zhang, Jian-Ping and Freiberg, Arvi and Krausz, Elmars}, title = {Challenges facing an understanding of the nature of low-energy excited states in photosynthesis}, volume = {1857}, journal = {BBA Bioenergetics}, number = {9}, doi = {10.1016/j.bbabio.2016.06.010}, pages = {1627 -- 1640}, year = {2016}, abstract = {While the majority of the photochemical states and pathways related to the biological capture of solar energy are now well understood and provide paradigms for artificial device design, additional low-energy states have been discovered in many systems with obscure origins and significance. However, as low-energy states are naively expected to be critical to function, these observations pose important challenges. A review of known properties of low energy states covering eight photochemical systems, and options for their interpretation, are presented. A concerted experimental and theoretical research strategy is suggested and outlined, this being aimed at providing a fully comprehensive understanding.}, language = {en} } @article{PetkovaJanuszewskiBlakelyetal.2025, author = {Petkova, Mariela D. and Januszewski, MichaƂ and Blakely, Tim and Herrera, Kristian J. and Schuhknecht, Gregor F.P. and Tiller, Robert and Choi, Jinhan and Schalek, Richard L. and Boulanger-Weill, Jonathan and Peleg, Adi and Wu, Yuelong and Wang, Shuohong and Troidl, Jakob and Vohra, Sumit Kumar and Wei, Donglai and Lin, Zudi and Bahl, Armin and Tapia, Juan Carlos and Iyer, Nirmala and Miller, Zachary T. and Hebert, Kathryn B. and Pavarino, Elisa C. and Taylor, Milo and Deng, Zixuan and Stingl, Moritz and Hockling, Dana and Hebling, Alina and Wang, Ruohong C. and Zhang, Lauren L. and Dvorak, Sam and Faik, Zainab and King, Jr., Kareem I. and Goel, Pallavi and Wagner-Carena, Julian and Aley, David and Chalyshkan, Selimzhan and Contreas, Dominick and Li, Xiong and Muthukumar, Akila V. and Vernaglia, Marina S. and Carrasco, Teodoro Tapia and Melnychuck, Sofia and Yan, TingTing and Dalal, Ananya and DiMartino, James and Brown, Sam and Safo-Mensa, Nana and Greenberg, Ethan and Cook, Michael and Finley, Samantha and Flynn, Miriam A. and Hopkins, Gary Patrick and Kovalyak, Julie and Leonard, Meghan and Lohff, Alanna and Ordish, Christopher and Scott, Ashley L. and Takemura, Satoko and Smith, Claire and Walsh, John J. and Berger, Daniel R. and Pfister, Hanspeter and Berg, Stuart and Knecht, Christopher and Meissner, Geoffrey W. and Korff, Wyatt and Ahrens, Misha B and Jain, Viren and Lichtman, Jeff W. and Engert, Florian}, title = {A connectomic resource for neural cataloguing and circuit dissection of the larval zebrafish brain}, journal = {bioRxiv}, doi = {10.1101/2025.06.10.658982}, year = {2025}, abstract = {We present a correlated light and electron microscopy (CLEM) dataset from a 7-day-old larval zebrafish, integrating confocal imaging of genetically labeled excitatory (vglut2a) and inhibitory (gad1b) neurons with nanometer-resolution serial section EM. The dataset spans the brain and anterior spinal cord, capturing >180,000 segmented soma, >40,000 molecularly annotated neurons, and 30 million synapses, most of which were classified as excitatory, inhibitory, or modulatory. To characterize the directional flow of activity across the brain, we leverage the synaptic and cell body annotations to compute region-wise input and output drive indices at single cell resolution. We illustrate the dataset's utility by dissecting and validating circuits in three distinct systems: water flow direction encoding in the lateral line, recurrent excitation and contralateral inhibition in a hindbrain motion integrator, and functionally relevant targeted long-range projections from a tegmental excitatory nucleus, demonstrating that this resource enables rigorous hypothesis testing as well as exploratory-driven circuit analysis. The dataset is integrated into an open-access platform optimized to facilitate community reconstruction and discovery efforts throughout the larval zebrafish brain.}, language = {en} }