Zobrazeno 1 - 10
of 7 165
pro vyhledávání: '"A. Häse"'
Autor:
Majer, Lena N., Acartürk, Tolga, van Aken, Peter A., Braun, Wolfgang, Camuti, Luca, Eckl-Haese, Johan, Mannhart, Jochen, Onuma, Takeyoshi, Rabinovich, Ksenia S., Schlom, Darrell G., Smink, Sander, Starke, Ulrich, Steele, Jacob, Vogt, Patrick, Wang, Hongguang, Hensling, Felix V. E.
Sapphire is a technologically highly relevant material, but it poses many challenges to performing epitaxial thin-film deposition. We have identified and applied the conditions for adsorption-controlled homoepitaxial growth of c-plane sapphire. The f
Externí odkaz:
http://arxiv.org/abs/2407.17194
Human-created works represent critical data inputs to artificial intelligence (AI). Strategic behavior can play a major role for AI training datasets, be it in limiting access to existing works or in deciding which types of new works to create or whe
Externí odkaz:
http://arxiv.org/abs/2404.18445
Autor:
Kristen Ramsey, Madolyn Britt, Joseph Maramba, Blake Ushijima, Elissa Moller, Andriy Anishkin, Claudia Häse, Sergei Sukharev
Publikováno v:
iScience, Vol 27, Iss 6, Pp 110001- (2024)
Summary: Vibrio cholerae adapts to osmotic down-shifts by releasing metabolites through two mechanosensitive (MS) channels, low-threshold MscS and high-threshold MscL. To investigate each channel’s contribution to the osmotic response, we generated
Externí odkaz:
https://doaj.org/article/6f9051ca1c1f4fe29176d2a3af32b11f
Autor:
Krenn, Mario, Pollice, Robert, Guo, Si Yue, Aldeghi, Matteo, Cervera-Lierta, Alba, Friederich, Pascal, Gomes, Gabriel dos Passos, Häse, Florian, Jinich, Adrian, Nigam, AkshatKumar, Yao, Zhenpeng, Aspuru-Guzik, Alán
Publikováno v:
Nature Review Physics 4, 761 (2022)
Imagine an oracle that correctly predicts the outcome of every particle physics experiment, the products of every chemical reaction, or the function of every protein. Such an oracle would revolutionize science and technology as we know them. However,
Externí odkaz:
http://arxiv.org/abs/2204.01467
Publikováno v:
Digital Discovery, 2022,1, 732-744
Optimization strategies driven by machine learning, such as Bayesian optimization, are being explored across experimental sciences as an efficient alternative to traditional design of experiment. When combined with automated laboratory hardware and h
Externí odkaz:
http://arxiv.org/abs/2203.17241
Publikováno v:
In Minerals Engineering October 2024 217
Autor:
Wirth, Ulrich, Schardey, Josefine, von Ahnen, Thomas, Crispin, Alexander, Kappenberger, Alina, Zimmermann, Petra, Florian, Kühn, D‘Haese, Jan G., Werner, Jens, Rau, Bettina
Publikováno v:
In Journal of Gastrointestinal Surgery October 2024 28(10):1665-1673
Autor:
Ma, Chuanlong, Chen, Changtao, Nikiforov, Anton, Kajtazi, Ardiana, An, Mei, Gutierrez, Leonardo, D’Haese, Arnout, Leus, Karen, Van Der Voort, Pascal, Lynen, Frederic, Verliefde, Arne, Cornelissen, Emile, Ostrikov, Kostya (Ken), De Geyter, Nathalie, Morent, Rino
Publikováno v:
In Chemical Engineering Journal 15 September 2024 496
Publikováno v:
In Applied Computing and Geosciences September 2024 23
Autor:
Lentz, Robert J., Frederick-Dyer, Katherine, Planz, Virginia B., Koyama, Tatsuki, Aboudara, Matthew C., Swanner, Briana, Roller, Lance, Low, See-Wei, Salmon, Cristina, Avasarala, Sameer K., Hoopman, Todd C., Wahidi, Momen M., Mahmood, Kamran, Cheng, George Z., Katsis, James M., Kurman, Jonathan S., D’Haese, Pierre-François, Johnson, Joyce, Grogan, Eric L., Walston, Charla, Yarmus, Lonny, Silvestri, Gerard A., Rickman, Otis B., Rahman, Najib M., Maldonado, Fabien
Publikováno v:
In CHEST Pulmonary September 2024 2(3)