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Max's coverage mainly focuses on scientific topics, particularly in the fields of astronomy, biology, chemistry, physics, and medical science. He often utilizes data sources and press releases to support his articles.
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By: Auditory Neuroscience, Max Planck, Erik Walinda, Andreea Larisa Mateias, Multiscale Bioimaging, Kai Tittmann, Daichi Morimoto, Eri Sakata, Tina Pangrsic, Tatjana Pallinger, Christian Griesinger, Taehee Kim, Vladan Rankovic, Myeongkyu Kim
Ryo Motosugi ∙ ∙ Taehee Kim ∙ … ∙ Kai Tittmann ∙ Tina Pangrsic Send email to [email protected] ∙ Eri
By: Max Planck, Cathy Hohenegger, Marius A. Schulz
The tropical land-ocean precipitation partitioning is skewed toward the land. This study assesses how CO increase and uniform sea surface temperature increase affect this partitioning. We analyze 14-year global simulations conducted with the ICON model at 10-km horizontal grid spacing, at which convection is simulated explicitly. ICON's precipitation partitioning shows better agreement with observations than the AMIP6 ensemble. Under 4×CO , precipitation partitioning increases, favoring land precipitation, whereas it decreases upon +4K SSTs. We develop a diagnostic framework based on the land's atmospheric energy and moisture budgets to decompose the response of tropical precipitation partitioning into contributions from land atmospheric heating, land circulation efficiency, land moisture cycling, and tropical radiative cooling. In ICON and the AMIP6 ensemble, the land atmospheric heating is identified as the primary controlling factor for changes in precipitation partitioning. Changes in atmospheric heating drive circulation adjustments that modulate land precipitation through changes in land moisture convergence. The response of the controlling factors is similar in ICON and in the AMIP6 ensemble, apart from two qualitative differences. First, the controlling factors are generally more stable toward the imposed forcings in ICON compared to the AMIP6 ensemble. Second, the opposing responses in precipitation partitioning upon CO forcing and equivalent uniform SST increase are of virtually equal magnitude in ICON, whereas in AMIP6 precipitation partitioning responds more strongly to the uniform SST increase. These findings suggest that coarse-resolution models may underestimate the land hydrological sensitivity relative to the total tropical hydrological sensitivity.
By: Johannes Gutenberg, Max Planck
Water drops spontaneously become electrically charged when moving on different surfaces, such as plant leaves, insect wings, building walls, window
By: Max Planck
Machine learning offers a promising approach to design high-performance alloys for laser additive manufacturing, by bypassing convoluted physical
By: Stephanie Baggio, Stephane Cullati, Josephine Jackisch, Nazihah Noor, Max Planck, Cristian Carmeli
Abstract Purpose: Family-based interventions are proposed for primordial cardiovascular disease (CVD) prevention, yet which family-environment components to target remains unclear.
By: Viola Duppel, Ivo F. Teixeira, Izadora F. Reis, Davide Ravelli, Sara Stolfi, Rayse M. Ferreira, Piero Torelli, Istituto Officina, Bruna R. Serino, Bettina V. Lotsch, Pavia Viale Taramelli Pavia, São Carlos São, Max Planck, Maurizio Fagnoni, Kathrin Küs
Gabriel A. A. Diab Vitor G. S. Pastana Sara Stolfi Rayse M. Ferreira Izadora F. Reis Marcos A. R. da Silva
By: Andriy M. Styervoyedov, Max Planck, Kostyantyn I. Polozhiy, Aleksei V. Chechkin
We investigate the impact of line-edge roughness on current-driven domain wall dynamics in ferromagnetic racetracks. Modeling the edge disorder as a spatially correlated Ornstein–Uhlenbeck process, we demonstrate that even minimal experimentally relevant roughness induces pronounced stochastic pinning of domain walls. Notably, this stochasticity of the current-driven motion arises purely from spatial disorder, even in the absence of thermal fluctuations. The racetrack-to-racetrack probability of a domain wall to reach a given position exhibits a robust sigmoidal dependence on the applied current, reflecting an effective distribution of depinning thresholds. At the same time, the underlying dynamics is highly nontrivial: The mean velocity shows a nonlinear dependence on both time and current, while the mean-square displacement exhibits a ballistic regime at short times followed by saturation due to trapping at pinning sites. These results demonstrate that line-edge roughness provides a controllable source of stochasticity in racetrack systems, establishing a physical mechanism for probabilistic domain-wall dynamics with potential applications in racetrack-based p-bit concepts, event-driven, and neuromorphic computing.
Rob Wilson Ignacio Mundo Lauren Marshall Emily Reid Michael Sigl Anja Schmidt Claudia Timmreck
By: Jiao Tong, Max Planck
The giant E2–E3 chimera BIRC6 specifically engages ubiquitin-activating E1 enzyme UBA6, but not UBA1, enabling UBA6 to transfer activated ubiquitin
By: Max Planck
Animals repeatedly traverse the same environment to pursue different goals, yet the hippocampus must preserve a stable spatial map while keeping individual experiences distinct.
