Eingereichte Dokumente

Self-supervised learning (SSL) methods have achieved remarkable success in learning image representations allowing invariances in them — but therefore discarding transformation information that some computer vision tasks actually require. While recent approaches attempt to address this limitation by learning equivariant features using linear operators in feature space, they impose restrictive assumptions that constrain flexibility and generalization. [...]

Apo-myoglobin (Apo-Mb) is an extensively studied model system for investigating protein folding due to its distinct stable native, partially folded molten globule (MG), and unfolded states at acidic pH [1]. This study examines the impact of structural conformational changes on the thermodiffusive behavior of Apo-Mb using the infrared thermal diffusion forced Rayleigh scattering (TDFRS) technique [2] [...]

Scalable quantum computers demand innovative solutions to tackle the wiring bottleneck and control an increasing number of qubits. Cryogenic electronics based on CMOS technologies are promising candidates that can operate down to deep-cryogenic temperatures and act as a communication and control interface to the quantum layer. [...]

Thermodiffusion is the migration of solute molecules along a thermal gradient and it is quantified by the Soret coefficient (ST). In aqueous solutions, ST is highly sensitive to the nature of solute-water interactions and has emerged as powerful probe of molecular interactions, including protein-ligand binding. [...]