most citedUniversally Converging Representations of Matter Across Scientific Foundation Models

3 citations · 3 across the 4 of their papers we have counts for

collaborators

10 papers

physics.chem-ph2026

A Priori Sampling of Transition States with Guided Diffusion

Hyukjun Lim, Soojung Yang, Lucas Pinède +3

Transition states, the first-order saddle points on the potential energy surfaces, govern the kinetics and mechanisms of chemical reactions and conformational changes. Locating the…

physics.chem-ph2026

Computational Design and Experimental Validation of Photoactive PARP1 Inhibitors

Simon Axelrod, Miroslav Kašpar, Kristýna Jelínková +8

Light-activated drugs are a promising way to treat localized diseases for which existing treatments have severe side effects. However, their development is complicated by the set o…

cond-mat.stat-mech2026

Scaling Autoregressive Models for Lattice Thermodynamics

Xiaochen Du, Juno Nam, Sulin Liu +1

Predicting how materials behave under realistic conditions requires understanding the statistical distribution of atomic configurations on crystal lattices, a problem central to al…

cond-mat.mtrl-sci2026

Discovery of Polymer Electrolytes with Bayesian Optimization and High-Throughput Molecular Dynamics simulations

Antonia S. Kuhn, Jurğis Ruža, KyuJung Jun +2

Polymer electrolytes are critical for safe, high-energy-density solid-state batteries, yet discovering candidates that balance high ionic conductivity with high transference number…

cond-mat.mtrl-sci2026

Universal Framework for Decomposing Ionic Transport into Interpretable Mechanisms

KyuJung Jun, Pablo A. Leon, Jurğis Ruža +2

Understanding mechanisms of ion transport in bulk materials is central to designing next-generation ion conductors for energy storage devices, yet studies employing all-atom molecu…

physics.chem-ph2026

FragmentFlow: Scalable Transition State Generation for Large Molecules

Ron Shprints, Peter Holderrieth, Juno Nam +2

Transition states (TSs) are central to understanding and quantitatively predicting chemical reactivity and reaction mechanisms. Although traditional TS generation methods are compu…