activity
20132026
most citedPhonon Hydrodynamic Heat Conduction and Knudsen Minimum in Graphite

128 citations · 1.4k across the 57 of their papers we have counts for

collaborators

58 papers

cond-mat.mtrl-sci2026

JANUS: A Multi-modal Foundation Neural Sampler for Disordered Materials

Denis Blessing, Mouyang Cheng, Maximilian Schebek +4

Many problems in disordered materials require sampling beyond fixed composition and volume, where coupled changes in atomic identities and structure create a prohibitively expensiv…

quant-ph2026

Agentic AI for Scientific Reasoning in Autonomous Quantum Sensing Experiments

Takuya Isogawa, Ryotaro Okabe, Nutdech Phadetsuwannukun +2

We implement an agentic AI workflow built around a large language model (LLM) agent for autonomous experiments with nitrogen-vacancy (NV) centers in diamond. NV centers are a widel…

cond-mat.mtrl-sci2026

ATLAS: A Foundation Neural Sampler for Amorphous Materials

Mouyang Cheng, Denis Blessing, Botao Yu +4

Amorphous materials exhibit exceptional mechanical and functional properties, yet their rugged energy landscapes are notoriously difficult to sample. Below the glass-transition tem…

physics.atom-ph2026

Order of Magnitude Improved Optical Trapping of Molecules Through Transverse Cooling

Abdullah Nasir, Annika Lunstad, Mingda Li +5

We demonstrate a two-dimensional Sisyphus laser cooling method that increases the number of strontium monohydroxide (SrOH) molecules loaded into a magneto-optical trap by a factor…

math.NA2026

Tensor-Network Finite Elements for Analytic Operator Equations

Abhijatmedhi Chotrattanapituk, Michael J. Landry, Chu-Liang Fu +1

Operator equations (OEs) underpin quantitative modeling across science and engineering. Finite-element (FE) methods discretize continuous OEs into finite-dimensional algebraic syst…

cond-mat.mtrl-sci2026

XRDiff: Crystal Structure Prediction from Powder X-Ray Diffraction Data Using Diffusion Models

Nofit Segal, Mingda Li, Benjamin Kurt Miller +1

Determining the crystal structure of a material from its powder X-ray diffraction (PXRD) pattern is a central challenge in materials science. PXRD is an accessible and widely used…