Zobrazeno 1 - 10
of 3 752
pro vyhledávání: '"Heinen, P"'
Autor:
Heinen, Philipp
This PhD thesis gives a comprehensive treatment of ab initio lattice Monte Carlo simulations of ultracold Bose gases by means of the complex Langevin algorithm. Since the field-theoretic action of non-relativistic bosons is a complex quantity, the co
Externí odkaz:
http://arxiv.org/abs/2407.16730
We study the applicability of the Hammett-inspired product (HIP) Ansatz to model relative substrate binding within homogenous organometallic catalysis, assigning $\sigma$ and $\rho$ to ligands and metals, respectively. Implementing an additive combin
Externí odkaz:
http://arxiv.org/abs/2405.07747
Autor:
Siovitz, Ido, Heinen, Philipp, Rasch, Niklas, Lannig, Stefan, Deller, Yannick, Strobel, Helmut, Oberthaler, Markus, Gasenzer, Thomas
High-performance graphical processing units (GPU) are used for the repeated parallelised propagation of non-linear partial differential equations on large spatio-temporal grids. The main challenge results as a combination of the requirement of large
Externí odkaz:
http://arxiv.org/abs/2310.03636
Autor:
Heinen, Stefan, Khan, Danish, von Rudorff, Guido Falk, Karandashev, Konstantin, Arrieta, Daniel Jose Arismendi, Price, Alastair J. A., Nandi, Surajit, Bhowmik, Arghya, Hermansson, Kersti, von Lilienfeld, O. Anatole
For many machine learning applications in science, data acquisition, not training, is the bottleneck even when avoiding experiments and relying on computation and simulation. Correspondingly, and in order to reduce cost and carbon footprint, training
Externí odkaz:
http://arxiv.org/abs/2308.11196
We present an automated data-collection pipeline involving a convolutional neural network and a large language model to extract user-specified tabular data from peer-reviewed literature. The pipeline is applied to 74 reports published between 1957 an
Externí odkaz:
http://arxiv.org/abs/2308.00389
Autor:
Karandashev, Konstantin, Weinreich, Jan, Heinen, Stefan, Arrieta, Daniel Jose Arismendi, von Rudorff, Guido Falk, Hermansson, Kersti, von Lilienfeld, O. Anatole
Optimizing a target function over the space of organic molecules is an important problem appearing in many fields of applied science, but also a very difficult one due to the vast number of possible molecular systems. We propose an Evolutionary Monte
Externí odkaz:
http://arxiv.org/abs/2307.15563
Autor:
IceCube-Gen2, Abbasi, R., Ackermann, M., Adams, J., Agarwalla, S. K., Aguilar, J. A., Ahlers, M., Alameddine, J. M., Amin, N. M., Andeen, K., Anton, G., Argüelles, C., Ashida, Y., Athanasiadou, S., Audehm, J., Axani, S. N., Bai, X., V., A. Balagopal, Baricevic, M., Barwick, S. W., Basu, V., Bay, R., Tjus, J. Becker, Beise, J., Bellenghi, C., Benning, C., BenZvi, S., Berley, D., Bernardini, E., Besson, D. Z., Bishop, A., Blaufuss, E., Blot, S., Bohmer, M., Bontempo, F., Book, J. Y., Borowka, J., Meneguolo, C. Boscolo, Böser, S., Botner, O., Böttcher, J., Bouma, S., Bourbeau, E., Braun, J., Brinson, B., Brostean-Kaiser, J., Burley, R. T., Busse, R. S., Butterfield, D., Campana, M. A., Carloni, K., Carnie-Bronca, E. G., Cataldo, M., Chattopadhyay, S., Chau, N., Chen, C., Chen, Z., Chirkin, D., Choi, S., Clark, B. A., Clark, R., Classen, L., Coleman, A., Collin, G. H., Conrad, J. M., Cowen, D. F., Dasgupta, B., Dave, P., Deaconu, C., De Clercq, C., De Kockere, S., DeLaunay, J. J., Delgado, D., Deng, S., Deoskar, K., Desai, A., Desiati, P., de Vries, K. D., de Wasseige, G., DeYoung, T., Diaz, A., Díaz-Vélez, J. C., Dittmer, M., Domi, A., Dujmovic, H., DuVernois, M. A., Ehrhardt, T., Eller, P., Ellinger, E., Mentawi, S. El, Elsässer, D., Engel, R., Erpenbeck, H., Evans, J., Evans, J. J., Evenson, P. A., Fan, K. L., Fang, K., Farrag, K., Fazely, A. R., Fedynitch, A., Feigl, N., Fiedlschuster, S., Finley, C., Fischer, L., Flaggs, B., Fox, D., Franckowiak, A., Fritz, A., Fujii, T., Fürst, P., Gallagher, J., Ganster, E., Garcia, A., Gerhardt, L., Gernhaeuser, R., Ghadimi, A., Giri, P., Glaser, C., Glauch, T., Glüsenkamp, T., Goehlke, N., Goswami, S., Grant, D., Gray, S. J., Gries, O., Griffin, S., Griswold, S., Guevel, D., Günther, C., Gutjahr, P., Haack, C., Azim, T. Haji, Hallgren, A., Halliday, R., Hallmann, S., Halve, L., Halzen, F., Hamdaoui, H., Minh, M. Ha, Hanson, K., Hardin, J., Harnisch, A. A., Hatch, P., Haugen, J., Haungs, A., Heinen, D., Helbing, K., Hellrung, J., Hendricks, B., Henningsen, F., Henrichs, J., Heuermann, L., Heyer, N., Hickford, S., Hidvegi, A., Hignight, J., Hill, C., Hill, G. C., Hoffman, K. D., Hoffmann, B., Holzapfel, K., Hori, S., Hoshina, K., Hou, W., Huber, T., Huege, T., Hughes, K., Hultqvist, K., Hünnefeld, M., Hussain, R., Hymon, K., In, S., Ishihara, A., Jacquart, M., Janik, O., Jansson, M., Japaridze, G. S., Jeong, M., Jin, M., Jones, B. J. P., Kalekin, O., Kang, D., Kang, W., Kang, X., Kappes, A., Kappesser, D., Kardum, L., Karg, T., Karl, M., Karle, A., Katori, T., Katz, U., Kauer, M., Kelley, J. L., Zathul, A. Khatee, Kheirandish, A., Kiryluk, J., Klein, S. R., Kobayashi, T., Kochocki, A., Kolanoski, H., Kontrimas, T., Köpke, L., Kopper, C., Koskinen, D. J., Koundal, P., Kovacevich, M., Kowalski, M., Kozynets, T., Krauss, C. B., Kravchenko, I., Krishnamoorthi, J., Krupczak, E., Kumar, A., Kun, E., Kurahashi, N., Lad, N., Gualda, C. Lagunas, Larson, M. J., Latseva, S., Lauber, F., Lazar, J. P., Lee, J. W., DeHolton, K. Leonard, Leszczyńska, A., Lincetto, M., Liu, Q. R., Liubarska, M., Lohan, M., Lohfink, E., LoSecco, J., Love, C., Mariscal, C. J. Lozano, Lu, L., Lucarelli, F., Lyu, Y., Madsen, J., Mahn, K. B. M., Makino, Y., Mancina, S., Mandalia, S., Sainte, W. Marie, Mariş, I. C., Marka, S., Marka, Z., Marsee, M., Martinez-Soler, I., Maruyama, R., Mayhew, F., McElroy, T., McNally, F., Mead, J. V., Meagher, K., Mechbal, S., Medina, A., Meier, M., Merckx, Y., Merten, L., Meyers, Z., Micallef, J., Mikhailova, M., Mitchell, J., Montaruli, T., Moore, R. W., Morii, Y., Morse, R., Moulai, M., Mukherjee, T., Naab, R., Nagai, R., Nakos, M., Narayan, A., Naumann, U., Necker, J., Negi, A., Nelles, A., Neumann, M., Niederhausen, H., Nisa, M. U., Noell, A., Novikov, A., Nowicki, S. C., Nozdrina, A., Oberla, E., Pollmann, A. Obertacke, O'Dell, V., Oehler, M., Oeyen, B., Olivas, A., Ørsøe, R., Osborn, J., O'Sullivan, E., Papp, L., Park, N., Parker, G. K., Paudel, E. N., Paul, L., Heros, C. Pérez de los, Petersen, T. C., Peterson, J., Philippen, S., Pieper, S., Pinfold, J. L., Pizzuto, A., Plaisier, I., Plum, M., Pontén, A., Popovych, Y., Rodriguez, M. Prado, Pries, B., Procter-Murphy, R., Przybylski, G. T., Pyras, L., Rack-Helleis, J., Rameez, M., Rawlins, K., Rechav, Z., Rehman, A., Reichherzer, P., Renzi, G., Resconi, E., Reusch, S., Rhode, W., Riedel, B., Riegel, M., Rifaie, A., Roberts, E. J., Robertson, S., Rodan, S., Roellinghoff, G., Rongen, M., Rott, C., Ruhe, T., Ryckbosch, D., Safa, I., Saffer, J., Salazar-Gallegos, D., Sampathkumar, P., Herrera, S. E. Sanchez, Sandrock, A., Sandstrom, P., Santander, M., Sarkar, S., Savelberg, J., Savina, P., Schaufel, M., Schieler, H., Schindler, S., Schlickmann, L., Schlüter, B., Schlüter, F., Schmeisser, N., Schmidt, T., Schneider, J., Schröder, F. G., Schumacher, L., Schwefer, G., Sclafani, S., Seckel, D., Seikh, M., Seunarine, S., Shaevitz, M. H., Shah, R., Sharma, A., Shefali, S., Shimizu, N., Silva, M., Skrzypek, B., Smith, D., Smithers, B., Snihur, R., Soedingrekso, J., Søgaard, A., Soldin, D., Soldin, P., Sommani, G., Southall, D., Spannfellner, C., Spiczak, G. M., Spiering, C., Stamatikos, M., Stanev, T., Stezelberger, T., Stoffels, J., Stürwald, T., Stuttard, T., Sullivan, G. W., Taboada, I., Taketa, A., Tanaka, H. K. M., Ter-Antonyan, S., Thiesmeyer, M., Thompson, W. G., Thwaites, J., Tilav, S., Tollefson, K., Tönnis, C., Torres, J., Toscano, S., Tosi, D., Trettin, A., Tsunesada, Y., Tung, C. F., Turcotte, R., Twagirayezu, J. P., Ty, B., Elorrieta, M. A. Unland, Upadhyay, A. K., Upshaw, K., Valtonen-Mattila, N., Vandenbroucke, J., van Eijndhoven, N., Vannerom, D., van Santen, J., Vara, J., Veberic, D., Veitch-Michaelis, J., Venugopal, M., Verpoest, S., Vieregg, A., Vijai, A., Walck, C., Weaver, C., Weigel, P., Weindl, A., Weldert, J., Welling, C., Wendt, C., Werthebach, J., Weyrauch, M., Whitehorn, N., Wiebusch, C. H., Willey, N., Williams, D. R., Wissel, S., Witthaus, L., Wolf, A., Wolf, M., Wörner, G., Wrede, G., Wren, S., Xu, X. W., Yanez, J. P., Yildizci, E., Yoshida, S., Young, R., Yu, F., Yu, S., Yuan, T., Zhang, Z., Zhelnin, P., Zierke, S., Zimmerman, M.
IceCube-Gen2 is a planned next-generation neutrino observatory at the South Pole that builds upon the successful design of IceCube. Integrating two complementary detection technologies for neutrinos, optical and radio Cherenkov emission, in combinati
Externí odkaz:
http://arxiv.org/abs/2307.13048
Autor:
Finn Abeck, Ines Heinen, Rachel Sommer, Christine Blome, Martin Härter, Matthias Augustin, Stefan W. Schneider, Inga Hansen-Abeck, Nina Booken
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Skin diseases in patients with skin of colour (Fitzpatrick skin types IV to VI) are underrepresented in dermatology training, which may lead to lower quality of care for these patients. To address this underrepresentation in medic
Externí odkaz:
https://doaj.org/article/7850637037f9449baa366800d93cb752
Autor:
Heinen, Philipp, Gasenzer, Thomas
Numerical simulations of the full quantum properties of interacting many-body systems by means of field-theoretic Monte-Carlo techniques are often limited due to a sign problem. Here we simulate properties of a dilute two-dimensional Bose gas in the
Externí odkaz:
http://arxiv.org/abs/2304.05699
The feature vector mapping used to represent chemical systems is a key factor governing the superior data-efficiency of kernel based quantum machine learning (QML) models applicable throughout chemical compound space. Unfortunately, the most accurate
Externí odkaz:
http://arxiv.org/abs/2303.16312