ProgramMaster Logo
Conference Tools for MS&T23: Materials Science & Technology
Login
Register as a New User
Help
Submit An Abstract
Propose A Symposium
Presenter/Author Tools
Organizer/Editor Tools
About this Abstract
Meeting MS&T23: Materials Science & Technology
Symposium Ceramics and Glasses Modeling by Simulations and Machine Learning
Presentation Title Comparison of Core Level Chemical Shift in CH3NH3PbBr3 Perovskite Due to Surface Terminations and Orientations of CH3NH3 Ion
Author(s) Prakash Khanal, Alisha Adhikari, Marton Kollar, Endre Horvath, Laszlo Forro, Matthias Muntwiler, J. Hugo Dil, Andrew P. Weber , Paul Rulis
On-Site Speaker (Planned) Prakash Khanal
Abstract Scope Hybrid organic-inorganic perovskites are known as highly favorable active materials in solar cells. The role of local (dis)order in the optoelectronic properties of these materials still remains unclear. To understand the effect of change in the local environment in this presentation I will discuss the sensitivity of X-ray spectroscopies to the local chemical environments around the surfaces of CH3NH3PbBr3. These findings will be supported by the use of an all-electron density functional theory-based method to study the chemical shifts of core orbital energies due to orientation disorder of the organic cation in bulk CH3NH3PbBr3 and in PbBr2 and CH3NH3 terminated slabs of CH3NH3PbBr3(001). The comparison of the core energy levels’ N 1s, C 1s, Pb 4f, and Br 3d in four computational models predicts the comparable order of chemical shift as reported in experimental results. The significant changes in the spectra are observed as a function of experimental geometry.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A B-C Story, Investigated by A.I. and CALPHAD
An ICME Approach for Short Fiber Reinforced Ceramic Matrix Composite via Direct Ink Writing
Atomistic Perspectives in Characterizing Crystalline Defect Formation in Amorphous Silicon Nitride
Combining Experimental and Simulation Datasets in Machine Learning for Glass Properties Prediction
Comparison of Core Level Chemical Shift in CH3NH3PbBr3 Perovskite Due to Surface Terminations and Orientations of CH3NH3 Ion
D-10: Unraveling the structure and mechanical properties ZIFs and its topological equivalents: Large scale simulations
D-9: Discrete Element Simulation of Delamination in Thermal Barrier Coating
Decoding the Structural Genome of Silicate Glasses
Defect Chemistry and Electrical Properties of Doped BaTiO3
Development of a Machine Learned Interatomic Potential for Shock Simulations of Boron Carbide
First-Principles Modeling of Thermodynamics and Kinetics of Thin-Film Tungsten Carbides
Fracture Resistance of Rare-earth Phosphates as Environmental Barrier Coatings under CMAS Corrosion
Generation of Spectral Neighbor Analysis Potentials for Alpha Boron and Comparison of the Results with the Angular Dependent Potential
Lithium Dopant and Surface Effects on the Band Gap of Calcium Hexaboride (CaB6) Using DFT Methods
Machine Learning Prediction of Heat Capacity for Solid Mixtures of Pseudo-binary Oxides
Using Deep Learning to Develop a Smart and Sustainable Cement Manufacturing Process

Questions about ProgramMaster? Contact programming@programmaster.org