activity
20192026
most citedMachine Learning on Neutron and X-Ray Scattering

124 citations · 793 across the 15 of their papers we have counts for

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Showing cond-mat.mtrl-sciShow all

11 papers · 1 filter

cond-mat.mtrl-sci2026

Ultrafast nonlinear Hall effect in black phosphorus

Maciej Dendzik, Andrea Marini, Samuel Beaulieu +9

The nonlinear Hall effect (NHE) is a recently discovered member of the Hall effect family in which the Hall voltage shows a nonlinear behavior when a transverse electric field is a…

cond-mat.mtrl-sci2024

Roadmap on Data-Centric Materials Science

Stefan Bauer, Peter Benner, Tristan Bereau +58

Science is and always has been based on data, but the terms "data-centric" and the "4th paradigm of" materials research indicate a radical change in how information is retrieved, h…

cond-mat.mtrl-sci2023

From structure mining to unsupervised exploration of atomic octahedral networks

R. Patrick Xian, Ryan J. Morelock, Ido Hadar +2

Understanding the spatial arrangements of atom-centered coordination octahedra is crucial for relating structures to properties for many materials families. Traditional case-by-cas…

cond-mat.mtrl-sci2022★ 68 cited

Orbital-resolved Observation of Singlet Fission

Alexander Neef, Samuel Beaulieu, Sebastian Hammer +8

Singlet fission may boost photovoltaic efficiency [by transforming a singlet exciton into two triplet excitons and thereby doubling the number of excited charge carriers. The prima…

cond-mat.mtrl-sci2021

Excited-state band structure mapping

M. Puppin, C. W. Nicholson, C. Monney +10

Angle-resolved photoelectron spectroscopy is an extremely powerful probe of materials to access the occupied electronic structure with energy and momentum resolution. However, it r…

cond-mat.mtrl-sci2021

Observation of ultrafast interfacial Meitner-Auger energy transfer in a van der Waals heterostructure

Shuo Dong, Samuel Beaulieu, Malte Selig +23

Atomically thin layered van der Waals heterostructures feature exotic and emergent optoelectronic properties. With growing interest in these novel quantum materials, the microscopi…

cond-mat.mtrl-sci2021

Scalable multicomponent spectral analysis for high-throughput data annotation

Rui Patrick Xian, Ralph Ernstorfer, Philipp Michael Pelz

Orchestrating parametric fitting of multicomponent spectra at scale is an essential yet underappreciated task in high-throughput quantification of materials and chemical compositio…

cond-mat.mtrl-sci2021★ 124 cited

Machine Learning on Neutron and X-Ray Scattering

Zhantao Chen, Nina Andrejevic, Nathan Drucker +8

Neutron and X-ray scattering represent two state-of-the-art materials characterization techniques that measure materials' structural and dynamical properties with high precision. T…

cond-mat.mtrl-sci2020★ 97 cited

Direct measurement of key exciton properties: energy, dynamics and spatial distribution of the wave function

Shuo Dong, Michele Puppin, Tommaso Pincelli +15

Excitons, Coulomb-bound electron-hole pairs, are the fundamental excitations governing the optoelectronic properties of semiconductors. While optical signatures of excitons have be…

cond-mat.mtrl-sci2019★ 121 cited

Evidence of large polarons in photoemission band mapping of the perovskite semiconductor CsPbBr

M. Puppin, S. Polishchuk, N. Colonna +16

Lead-halide perovskite (LHP) semiconductors are emergent optoelectronic materials with outstanding transport properties which are not yet fully understood. We find signatures of la…

cond-mat.mtrl-sci2019★ 88 cited

Time- and momentum-resolved photoemission studies using time-of-flight momentum microscopy at a free-electron laser

Dmytro Kutnyakhov, Rui Patrick Xian, Maciej Dendzik +38

Time-resolved photoemission with ultrafast pump and probe pulses is an emerging technique with wide application potential. Real-time recording of non-equilibrium electronic process…