Iek‐Heng Chu
Publications by Year
Research Areas
Advancements in Battery Materials, Advanced Battery Materials and Technologies, Machine Learning in Materials Science, Thermal Expansion and Ionic Conductivity, Graphene research and applications
Most-Cited Works
- → Elastic Properties of Alkali Superionic Conductor Electrolytes from First Principles Calculations(2015)379 cited
- → Atomate: A high-level interface to generate, execute, and analyze computational materials science workflows(2017)361 cited
- → Data-Driven First-Principles Methods for the Study and Design of Alkali Superionic Conductors(2016)306 cited
- → Room-Temperature All-solid-state Rechargeable Sodium-ion Batteries with a Cl-doped Na3PS4 Superionic Conductor(2016)284 cited
- → Role of Na+ Interstitials and Dopants in Enhancing the Na+ Conductivity of the Cubic Na3PS4 Superionic Conductor(2015)262 cited
- → Insights into the Performance Limits of the Li7P3S11 Superionic Conductor: A Combined First-Principles and Experimental Study(2016)215 cited
- → Probing Solid–Solid Interfacial Reactions in All-Solid-State Sodium-Ion Batteries with First-Principles Calculations(2017)207 cited
- → Accurate force field for molybdenum by machine learning large materials data(2017)161 cited
- → Thermal Stability and Reactivity of Cathode Materials for Li-Ion Batteries(2016)150 cited
- → New Insights into the Interphase between the Na Metal Anode and Sulfide Solid-State Electrolytes: A Joint Experimental and Computational Study(2018)130 cited