33 citations · 38 across the 5 of their papers we have counts for
5 papers
Massive Discovery of Low-Dimensional Materials from Universal Computational Strategy
Mohammad Bagheri, Ethan Berger, Hannu-Pekka Komsa +1
Low-dimensional materials have attractive properties that drive intense efforts for novel materials discovery. However, experiments are tedious for systematic discovery, and presen…
Raman spectra of amino acids and peptides from machine learning polarizabilities
Ethan Berger, Juha Niemelä, Outi Lampela +2
Raman spectroscopy is an important tool in the study of vibrational properties and composition of molecules, peptides and even proteins. Raman spectra can be simulated based on the…
Polarizability Models for Simulations of Finite Temperature Raman Spectra from Machine Learning Molecular Dynamics
Ethan Berger, Hannu-Pekka Komsa
Raman spectroscopy is a powerful and nondestructive method that is widely used to study the vibrational properties of solids or molecules. Simulations of finite-temperature Raman s…
Controlled defect production in monolayer MoS2 via electron irradiation at ultralow accelerating voltages
Ajit Kumar Dash, Hariharan Swaminathan, Ethan Berger +7
Control on spatial location and density of defects in 2D materials can be achieved using electron beam irradiation. Conversely, ultralow accelerating voltages (less than or equal t…
Raman Spectra of Titanium Carbide MXene from Machine-Learning Force Field Molecular Dynamics
Ethan Berger, Zhong-Peng Lv, Hannu-Pekka Komsa
MXenes represent one of the largest class of 2D materials with promising applications in many fields and their properties tunable by the surface group composition. Raman spectrosco…