DOI,IST REx ID,Research Group,Title of publication
10.1038/s41467-023-44114-0,14793,GeKa,Parity-conserving Cooper-pair transport and ideal superconducting diode in planar germanium
10.1038/s41467-024-45148-8,18902,"GaTk,AnKi",Assessing the precision of morphogen gradients in neural tube development
10.1103/PhysRevResearch.6.L022002,15320,GeKa,Tuning the Josephson diode response with an ac current
10.1038/s41598-024-67787-z,17389,GeKa,Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning
10.1038/s41467-024-54520-7,18602,GeKa,Strong hole-photon coupling in planar Ge for probing charge degree and strongly correlated states
10.1103/PhysRevApplied.22.064026,18653,GeKa,Automated long-range compensation of an rf quantum dot sensor
10.5281/zenodo.13935166,23037,GeKa,"Online data of ""Strong hole-photon coupling in planar Ge for probing charge degree and strongly correlated states"""
10.1016/j.mssp.2024.108231,15018,"GeKa,NanoFab",Compressively strained epitaxial Ge layers for quantum computing applications
10.15479/AT:ISTA:14705,14705,"GradSch,BeVi","Data from ""Chromosome-level assembly of Artemia franciscana sheds light on sex-chromosome differentiation"""
10.1145/3641519.3657485,17214,"GradSch,ChWo",Primal-dual non-smooth friction for rigid body animation
10.1109/CVPR52733.2024.02320,17426,"GradSch,ChLa","1-Lipschitz layers compared: Memory, speed, and certifiable robustness"
10.48550/arXiv.2412.04245,18874,"GradSch,ChLa",Intriguing properties of robust classification
10.48550/arXiv.2407.19908,17361,"GradSch,ChWo",Symplectic structures on the space of space curves
10.1145/3658223,17219,"GradSch,ChWo",Multi-material mesh-based surface tracking with implicit topology changes
10.15479/at:ista:18301,18301,"GradSch,ChWo",Filling the holes of non-manifold self-intersecting meshes for implicit topology changes in surface tracking
10.1137/23M1565255,12846,"GradSch,ChWo",Area formula for spherical polygons via prequantization
10.15479/at:ista:17485,17485,"GradSch,DaAl","Compressing large neural networks: Algorithms, systems and scaling laws"
null,18062,DaAl,Scaling laws for sparsely-connected foundation models
null,18061,DaAl,QMoE: Sub-1-bit compression of trillion parameter models
10.15479/at:ista:17490,17490,"GradSch,DaAl",Communication-efficient distributed training of deep neural networks : An algorithms and systems perspective