activity
20082026
most citedTwo-dimensional materials from high-throughput computational exfoliation of experimentally known compounds

1.9k citations · 3.3k across the 23 of their papers we have counts for

collaborators

26 papers

cond-mat.mtrl-sci2026

Dense and porous phase transition study of SEI formation using phase-field method

Joonyeob Jeon, Lukas Kobbing, Tejs Vegge +3

The solid electrolyte interphase (SEI) is essential for the long-term stability of batteries because it influences the reactions between the electrode and electrolyte. Despite prev…

cond-mat.mtrl-sci2026

Hamiltonian learning reveals optoelectronic mechanisms across thermodynamic state space in soft semiconductors

Frederik Vonhoff, Jesper R. Pedersen, Frederico P. Delgado +5

Predicting optoelectronic response across thermodynamic state space requires coupling finite-temperature nuclear dynamics to electronic structure at scales where direct first-princ…

physics.app-ph2026

Energy Harvesting for Self-Powered Microsystems: A Critical Review of Materials, Power Management, and System Integration

Lyuye Lin, Feng Zhifu, Ermanno Miele +12

The relentless proliferation of the Internet of Things (IoT), wearable bioelectronics, and cyber-physical infrastructure has rendered the conventional electrochemical battery the s…

cond-mat.mtrl-sci2026

AI-enhanced discovery and accelerated synthesis of metal phosphosulfides

Javier Sanz Rodrigo, Nicholas A. Kryger-Nelson, Lena A. Mittmann +3

Metal phosphosulfides have emerged as unique multifunctional materials, but they present unique synthesis challenges compared to more established material classes such as oxides an…

cs.DB2025

Implementing a Scalable, Redeployable and Multitiered Repository for FAIR and Secure Scientific Data Sharing: The BIG-MAP Archive

Valeria Granata, Francois Liot, Xing Wang +5

Data sharing in large consortia, such as research collaborations or industry partnerships, requires addressing both organizational and technical challenges. A common platform is es…

cond-mat.mtrl-sci2025★ 9 cited

Predicting aqueous and electrochemical stability of 2D materials from extended Pourbaix analyses

Stefano Americo, Ivano E. Castelli, Kristian S. Thygesen

A key challenge for computational discovery of electrocatalytic materials is the reliable prediction of thermodynamic stability in aqueous environment and under different electroch…