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pro vyhledávání: '"Binninger A"'
Low-resolution quantized imagery, such as pixel art, is seeing a revival in modern applications ranging from video game graphics to digital design and fabrication, where creativity is often bound by a limited palette of elemental units. Despite their
Externí odkaz:
http://arxiv.org/abs/2410.06236
This paper explores the potential application of Deep Reinforcement Learning in the furniture industry. To offer a broad product portfolio, most furniture manufacturers are organized as a job shop, which ultimately results in the Job Shop Scheduling
Externí odkaz:
http://arxiv.org/abs/2409.11820
Most of the novel energy materials contain multiple elements occupying a single site in their lattice. The exceedingly large configurational space of these materials imposes challenges in determining their ground-state structures. Coulomb energies of
Externí odkaz:
http://arxiv.org/abs/2409.08808
Autor:
Goloviznina, Kateryna, Fleischhaker, Johann, Binninger, Tobias, Rotenberg, Benjamin, Ers, Heigo, Ivanistsev, Vladislav, Meissner, Robert, Serva, Alessandra, Salanne, Mathieu
Molecular dynamics simulations at a constant electric potential are an essential tool to study electrochemical processes, providing microscopic information on the structural, thermodynamic, and dynamical properties. Despite the numerous advances in t
Externí odkaz:
http://arxiv.org/abs/2404.07848
Energy materials with disorder in site occupation are challenging for computational studies due to an exponential scaling of the configuration space. We herein present a grand-canonical optimization method that enables the use of quantum annealing (Q
Externí odkaz:
http://arxiv.org/abs/2401.02165
We present SENS, a novel method for generating and editing 3D models from hand-drawn sketches, including those of abstract nature. Our method allows users to quickly and easily sketch a shape, and then maps the sketch into the latent space of a part-
Externí odkaz:
http://arxiv.org/abs/2306.06088
Autor:
Binninger, Tobias
Publikováno v:
Electrochimica Acta 2023, 444, 142016
The differential capacitance comprises the most relevant thermodynamic information about an electrochemical system. Classical approaches to describe electrochemical capacitance have difficulties to combine the treatment of the ionic contribution of t
Externí odkaz:
http://arxiv.org/abs/2302.04848
Publikováno v:
J. Chem. Theory Comput. 2022, 18, 3, 1883 - 1893
Computational studies of electrochemical interfaces based on density-functional theory (DFT) play an increasingly important role in present research on electrochemical processes for energy conversion and storage. The homogeneous background method (HB
Externí odkaz:
http://arxiv.org/abs/2201.04537
Autor:
Binninger, Tobias
Publikováno v:
Phys. Rev. B 103, L161403 (2021)
The ab initio simulation of charged interfaces in the framework of density functional theory (DFT) is heavily employed for the study of electrochemical energy conversion processes. The capacitance is the primary descriptor for the response of the ele
Externí odkaz:
http://arxiv.org/abs/2101.11459
Publikováno v:
In Heliyon 29 February 2024 10(4)