collaborators

25 papers

cond-mat.str-el2026

Single crystal growth, structural and magnetic properties of CeZnGa

Danila Sokratov, H. Cein Mandujano, Ram Kumar +9

The tetragonal BaAl () parent structure underpins a diverse family of materials exhibiting novel phenomena, including nematic superconductivity, topological semimetalli…

physics.optics2026

Emergent Non-Equilibrium Emission Profiles via Luminescent Angle Restriction for Photovoltaic Energy Conversion

Jonathan McTague, Rivi Ratnaweera, Matthew Sheldon

The detailed-balance method established by Shockley and Queisser determines photovoltaic (PV) conversion efficiencies by relating non-equilibrium converter operation to an equilibr…

physics.chem-ph2026

Macroscopic Spin-Orbit Interaction through Strong-Field Pumping of Inhomogeneously Aligned Molecular Ensemble

Uriel Zanzuri, Sharly Fleischer, Tamar Seideman +3

The paper investigates how a helical bi‑chromatic strong‑field pump interacting with a radially aligned molecular ensemble generates high‑harmonic radiation that carries orbital an…

cond-mat.mtrl-sci2026

Tuning the optoelectronic properties of wide bandgap perovskites: Data-driven insights from combinatorial synthesis and high-throughput experimentation

Alexander Wieczorek, Sergey Tsarev, Nathan Rodkey +4

The discovery and optimization of wide-bandgap lead halide perovskites (LHPs) is hindered by solution-based workflows with limited scalability. Large compositional parameter spaces…

cond-mat.mtrl-sci2026

Dynamically suppressed lattice rotations in SrTiO as a basis for photo-induced ferroelectricity

Huaiyu Hugo Wang, Michael Fechner, Giovanni De Vecchi +22

Photo-induced ferroelectricity in the quantum paraelectric SrTiO involves the dynamical interplay between a coherently driven Ti-O stretching vibration and multiple structural…

cs.CV2026

Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology

Yanqing Luo, Julius Hense, Niklas Prenißl +4

Explanations of multiple instance learning (MIL) models are widely used for validation and discovery in digital histopathology. Existing methods primarily rely on heatmaps that hig…