Zobrazeno 1 - 10
of 1 015
pro vyhledávání: '"Baecker, P. A."'
Autor:
Ambroset, Mélodie, Anselmet, Marie, Benedetti, Clément, Meslin, Arthur, Maillot, Aurélien, Rouvière, Christian, Maucort, Guillaume, Breuilly, Marine, Albert, Marvin, Letort, Gaëlle, Trullo, Antonio, Bäcker, Volker, Mutterer, Jérôme, Cordelières, Fabrice, Pécot, Thierry, Phan, Minh-Son, Rigaud, Stéphane, Feyeux, Magali, Paul-Gilloteaux, Perrine, Macé, Anne-Sophie, Tinevez, Jean-Yves
We discuss in this article the creation and organization of a national core facility for bioimage analysis, based on a distributed team. F-BIAS federates bioimage analysts across France and relies on them to deliver services to the researchers of thi
Externí odkaz:
http://arxiv.org/abs/2409.15009
While the notion of quantum chaos is tied to random matrix spectral correlations, also eigenstate properties in chaotic systems are often assumed to be described by random matrix theory. Analytic insights into eigenstate correlations can be obtained
Externí odkaz:
http://arxiv.org/abs/2407.19929
It is commonly expected that for quantum chaotic many body systems the statistical properties approach those of random matrices when increasing the system size. We demonstrate for various kicked spin-$1/2$ chain models that the average eigenstate ent
Externí odkaz:
http://arxiv.org/abs/2405.07545
Autor:
Müller, Dominik, Meyer, Philip, Rentschler, Lukas, Manz, Robin, Hieber, Daniel, Bäcker, Jonas, Cramer, Samantha, Wengenmayr, Christoph, Märkl, Bruno, Huss, Ralf, Kramer, Frank, Soto-Rey, Iñaki, Raffler, Johannes
Prostate cancer is a dominant health concern calling for advanced diagnostic tools. Utilizing digital pathology and artificial intelligence, this study explores the potential of 11 deep neural network architectures for automated Gleason grading in pr
Externí odkaz:
http://arxiv.org/abs/2403.16695
Autor:
Müller, Dominik, Meyer, Philip, Rentschler, Lukas, Manz, Robin, Bäcker, Jonas, Cramer, Samantha, Wengenmayr, Christoph, Märkl, Bruno, Huss, Ralf, Soto-Rey, Iñaki, Raffler, Johannes
Advances in digital pathology and artificial intelligence (AI) offer promising opportunities for clinical decision support and enhancing diagnostic workflows. Previous studies already demonstrated AI's potential for automated Gleason grading, but lac
Externí odkaz:
http://arxiv.org/abs/2403.16678
Autor:
Andrej, Julian, Atallah, Nabil, Bäcker, Jan-Phillip, Camier, John, Copeland, Dylan, Dobrev, Veselin, Dudouit, Yohann, Duswald, Tobias, Keith, Brendan, Kim, Dohyun, Kolev, Tzanio, Lazarov, Boyan, Mittal, Ketan, Pazner, Will, Petrides, Socratis, Shiraiwa, Syun'ichi, Stowell, Mark, Tomov, Vladimir
The MFEM (Modular Finite Element Methods) library is a high-performance C++ library for finite element discretizations. MFEM supports numerous types of finite element methods and is the discretization engine powering many computational physics and en
Externí odkaz:
http://arxiv.org/abs/2402.15940
Autor:
Miyagawa, Takeru, Krishnan, Namita, Grumet, Manuel, Baecker, Christian Reverón, Kaiser, Waldemar, Egger, David A.
Solid-state ion conductors (SSICs) have emerged as a promising material class for electrochemical storage devices and novel compounds of this kind are continuously being discovered. High-throughout approaches that enable a rapid screening among the p
Externí odkaz:
http://arxiv.org/abs/2401.11244
Non-Markovian processes may arise in physics due to memory effects of environmental degrees of freedom. For quantum non-Markovianity, it is an ongoing debate to clarify whether such memory effects have a verifiable quantum origin, or whether they mig
Externí odkaz:
http://arxiv.org/abs/2310.01205
Autor:
Schwade, Martin, Schilcher, Maximilian J., Baecker, Christian Reverón, Grumet, Manuel, Egger, David A.
Finite-temperature calculations are relevant for rationalizing material properties yet they are computationally expensive because large system sizes or long simulation times are typically required. Circumventing the need for performing many explicit
Externí odkaz:
http://arxiv.org/abs/2308.08897
Partial transport barriers in the chaotic sea of Hamiltonian systems influence classical transport, as they allow for a small flux between chaotic phase-space regions only. We establish for higher-dimensional systems that quantum transport through su
Externí odkaz:
http://arxiv.org/abs/2308.01162