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pro vyhledávání: '"Goscinski A"'
Autor:
Bialy, Nikki, Alber, Frank, Andrews, Brenda, Angelo, Michael, Beliveau, Brian, Bintu, Lacramioara, Boettiger, Alistair, Boehm, Ulrike, Brown, Claire M., Maina, Mahmoud Bukar, Chambers, James J., Cimini, Beth A., Eliceiri, Kevin, Errington, Rachel, Faklaris, Orestis, Gaudreault, Nathalie, Germain, Ronald N., Goscinski, Wojtek, Grunwald, David, Halter, Michael, Hanein, Dorit, Hickey, John W., Lacoste, Judith, Laude, Alex, Lundberg, Emma, Ma, Jian, Malacrida, Leonel, Moore, Josh, Nelson, Glyn, Neumann, Elizabeth Kathleen, Nitschke, Roland, Onami, Shuichi, Pimentel, Jaime A., Plant, Anne L., Radtke, Andrea J., Sabata, Bikash, Schapiro, Denis, Schöneberg, Johannes, Spraggins, Jeffrey M., Sudar, Damir, Vierdag, Wouter-Michiel Adrien Maria, Volkmann, Niels, Wählby, Carolina, Siyuan, Wang, Yaniv, Ziv, Strambio-De-Castillia, Caterina
Together with the molecular knowledge of genes and proteins, biological images promise to significantly enhance the scientific understanding of complex cellular systems and to advance predictive and personalized therapeutic products for human health.
Externí odkaz:
http://arxiv.org/abs/2401.13022
Autor:
Bajcsy, Peter, Bhattiprolu, Sreenivas, Boerner, Katy, Cimini, Beth A, Collinson, Lucy, Ellenberg, Jan, Fiolka, Reto, Giger, Maryellen, Goscinski, Wojtek, Hartley, Matthew, Hotaling, Nathan, Horwitz, Rick, Jug, Florian, Kreshuk, Anna, Lundberg, Emma, Mathur, Aastha, Narayan, Kedar, Onami, Shuichi, Plant, Anne L., Prior, Fred, Swedlow, Jason, Taylor, Adam, Keppler, Antje
Coordinated collaboration is essential to realize the added value of and infrastructure requirements for global image data sharing in the life sciences. In this White Paper, we take a first step at presenting some of the most common use cases as well
Externí odkaz:
http://arxiv.org/abs/2401.13023
The accurate description of the structural and thermodynamic properties of ferroelectrics has been one of the most remarkable achievements of Density Functional Theory (DFT). However, running large simulation cells with DFT is computationally demandi
Externí odkaz:
http://arxiv.org/abs/2310.12579
Autor:
Mycielski, Andrzej, Kochanowska, Dominika M., Wardak, Aneta, Goscinski, Krzysztof, Szot, Michal, Dobrowolski, Witold, Janusz, Gabriela, Gorska, Malgorzata, Janiak, Lukasz, Czarnacki, Wieslaw, Swiderski, Lukasz, Iwanowska-Hanke, Joanna, Moszynski, Marek
Publikováno v:
Sensors 22 (2022) 2941
Photocurrent-voltage characteristic (PC-V) is a method of determining the critical parameter in X-ray and gamma-ray detector plates, i.e., the carrier mobility - lifetime product, mt. We show on the (Cd,Mn)Te samples that the measurement results depe
Externí odkaz:
http://arxiv.org/abs/2202.10990
Autor:
Sandström, Malin, Abrams, Mathew, Bjaalie, Jan, Hicks, Mona, Kennedy, David, Kumar, Arvind, Poline, JB, Roy, Prasun, Tiesinga, Paul, Wachtler, Thomas, Goscinski, Wojtek
Digital services such as repositories and science gateways have become key resources for the neuroscience community, but users often have a hard time orienting themselves in the service landscape to find the best fit for their particular needs. INCF
Externí odkaz:
http://arxiv.org/abs/2201.00727
Publikováno v:
The Journal of Chemical Physics 155(10), 104106 (2021)
The input of almost every machine learning algorithm targeting the properties of matter at the atomic scale involves a transformation of the list of Cartesian atomic coordinates into a more symmetric representation. Many of the most popular represent
Externí odkaz:
http://arxiv.org/abs/2105.08717
Autor:
Musil, Félix, Veit, Max, Goscinski, Alexander, Fraux, Guillaume, Willatt, Michael J., Stricker, Markus, Junge, Till, Ceriotti, Michele
Physically-motivated and mathematically robust atom-centred representations of molecular structures are key to the success of modern atomistic machine learning (ML) methods. They lie at the foundation of a wide range of methods to predict the propert
Externí odkaz:
http://arxiv.org/abs/2101.08814
Autor:
Swedlow, Jason R., Kankaanpää, Pasi, Sarkans, Ugis, Goscinski, Wojtek, Galloway, Graham, Sullivan, Ryan P., Brown, Claire M., Wood, Chris, Keppler, Antje, Loos, Ben, Zullino, Sara, Longo, Dario Livio, Aime, Silvio, Onami, Shuichi
Biological and biomedical imaging datasets record the constitution, architecture and dynamics of living organisms across several orders of magnitude of space and time. Imaging technologies are now used throughout the life and biomedical sciences to a
Externí odkaz:
http://arxiv.org/abs/2010.10107
Eficient, physically-inspired descriptors of the structure and composition of molecules and materials play a key role in the application of machine-learning techniques to atomistic simulations. The proliferation of approaches, as well as the fact tha
Externí odkaz:
http://arxiv.org/abs/2009.02741
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