Cover Image

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Laakso, Jarno, Tiihonen, Armi, Rinke, Patrick
Format:	Preprint
Published:	2026
Subjects:	Materials Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient dataset generation for machine learning perovskite alloys
by: Homm, Henrietta, et al.
Published: (2025)

A model of full thermodynamic stabilization of nanocrystalline alloys
by: Hussein, Omar, et al.
Published: (2025)

A model of thermodynamic stabilization of nanocrystalline grain boundaries in alloy systems
by: Hussein, Omar, et al.
Published: (2024)

Structural Chart of Copper-Silver Nanoalloys through machine learning
by: Settem, Manoj, et al.
Published: (2026)

Additively manufacturable high-strength aluminum alloys with thermally stable microstructures enabled by hybrid machine learning-based design
by: Taheri-Mousavi, S. Mohadeseh, et al.
Published: (2024)

Multi-objective Bayesian Optimization with Human-in-the-Loop for Flexible Neuromorphic Electronics Fabrication
by: Dunn, Benius, et al.
Published: (2025)

Hydrogen permeability prediction in palladium alloys and virtual screening of B2-phase stabilized Pd(100-x-y)CuxMy ternary alloys using machine learning
by: Kolor, Eric, et al.
Published: (2025)

Multi-Variable Batch Bayesian Optimization in Materials Research: Synthetic Data Analysis of Noise Sensitivity and Problem Landscape Effects
by: Mia, Imon, et al.
Published: (2025)

On the possibility of hybrid chalcogenide perovskite photovoltaics
by: Wu, Ruiqi, et al.
Published: (2026)

Surface segregation in high-entropy alloys from alchemical machine learning
by: Mazitov, Arslan, et al.
Published: (2023)

Role of host/guest coupling in stabilizing the phases of the over-tolerant hybrid perovskite MHyPbX3
by: Srivastava, Pradhi, et al.
Published: (2024)

Radiation damage and phase stability of Al$_x$CrCuFeNi$_y$ alloys using a machine-learned interatomic potential
by: Fellman, Aslak, et al.
Published: (2025)

Capturing short-range order in high-entropy alloys with machine learning potentials
by: Cao, Yifan, et al.
Published: (2024)

BraWl: Simulating the thermodynamics and phase stability of multicomponent alloys using conventional and enhanced sampling techniques
by: Naguszewski, Hubert J., et al.
Published: (2025)

Design Rules for Optimizing Quaternary Mixed-Metal Chalcohalides
by: Henkel, Pascal, et al.
Published: (2025)

Composition based machine learning to predict phases & strength of refractory high entropy alloys
by: Iyengar, M. Sreenidhi, et al.
Published: (2025)

Efficient small-cell sampling for machine-learning potentials of multi-principal element alloys
by: Liu, Yan, et al.
Published: (2025)

Autonomous thermodynamically informed database generation for machine-learned interatomic potentials and application to magnesium
by: Fletcher, Vincent G., et al.
Published: (2025)

Nine-element machine-learned interatomic potentials for multiphase refractory alloys
by: Byggmästar, Jesper, et al.
Published: (2026)

General-purpose machine-learned potential for 16 elemental metals and their alloys
by: Song, Keke, et al.
Published: (2023)

Structural and thermodynamic stability of hexagonal-diamond $\text{Si}_{1 - x - y}\,\text{Ge}_{x}\,\text{B}_{y}$ alloys
by: Túnica, Marc, et al.
Published: (2025)

Chirality-induced magnetoresistance in hybrid organic-inorganic perovskite semiconductors
by: Haque, Md Azimul, et al.
Published: (2025)

LLM tools in the prediction of the stability of perovskite solar cells
by: Frenkel, S., et al.
Published: (2025)

Predicting the Thermal Behavior of Semiconductor Defects with Equivariant Neural Networks
by: Zhu, Xiangzhou, et al.
Published: (2025)

Composition design of refractory compositionally complex alloys using machine learning models
by: Liang, Tao, et al.
Published: (2026)

A collinear-spin machine learned interatomic potential for Fe$_{7}$Cr$_{2}$Ni alloy
by: Shenoy, Lakshmi, et al.
Published: (2023)

Machine Learning Recognition of hybrid lead halide perovskites and perovskite-related structures out of X-ray diffraction patterns
by: Marchenko, E. I., et al.
Published: (2024)

Understanding halide segregation in metal halide perovskites through defect thermodynamics
by: Navid, Abrar Fahim, et al.
Published: (2026)

Coupling of structure and magnetism to spin splitting in hybrid organic-inorganic perovskites
by: Kashikar, Ravi, et al.
Published: (2023)

First-principles investigation of thermodynamics and electronic transitions in vacancy-ordered rare-earth perovskite nickelates
by: Bhagat, Devang, et al.
Published: (2024)

The impact of alloying elements on the precipitation stability and kinetics in iron based alloys: An atomistic study
by: Bonny, Giovanni, et al.
Published: (2025)

Decoding the hidden dynamics of super-Arrhenius hydrogen diffusion in multi-principal element alloys via machine learning
by: Shuang, Fei, et al.
Published: (2024)

Polynomial machine learning potential and its application to global structure search in the ternary Cu-Ag-Au alloy
by: Seko, Atsuto
Published: (2024)

Topological representation of layered hybrid lead halides for machine-learning using universal clusters
by: Marchenko, Ekaterina I., et al.
Published: (2024)

First-principles investigation of multifaceted properties; lattice dynamic, structural stability, mechanical, electronic, magnetic and thermodynamic response of Alkali metals-based semi Heusler alloys
by: Diwaker, et al.
Published: (2024)

Triplet Envelope Functions for increasing machine learning interatomic potential efficiency and stability
by: Annevelink, Emil, et al.
Published: (2026)

Decoding lithium's subtle phase stability with a machine learning force field
by: Shen, Yiheng, et al.
Published: (2025)

Upward band gap bowing and negative mixing enthalpy in multi-component cubic halide perovskite alloys
by: Zhang, Xiuwen, et al.
Published: (2026)

Water-resistant hybrid perovskite solar cell -- drop triboelectric energy harvester
by: Nunez-Galvez, Fernando, et al.
Published: (2024)

Increased resistance to photooxidation in Dion-Jacobson lead halide perovskites -- implication for perovskite device stability
by: Ren, Zhilin, et al.
Published: (2024)