2023 | AIMR

2023

12/21/2023
An Integrated Approach to Discovering Stable and Low Cost Electrocatalysts
12/15/2023
New Strategy Improves Perovskites’ Oxygen Reduction Performance in Hydrogen Fuel Cell
12/13/2023
Researchers Develop Spintronic Probabilistic Computers Compatible with Current AI
11/14/2023
A New Benchmark for High-Performance Carbon Cathodes in Lithium-Oxygen Batteries
09/21/2023
Researchers Reveal the Origins of Zirconium Nitride’s Superior Performance
08/28/2023
Why Are the Brain's Nerve Cells Organized into Modules?
08/24/2023
Researchers Develop Framework to Guide Electrolyte Design for Advanced Batteries
08/04/2023
Unveiling the Anomalous Dynamics of Non-collinear Antiferromagnets
07/26/2023
Researchers Identify the Bottleneck of Dual-Atom Catalysts for CO₂ Reduction
07/18/2023
Researchers Demonstrate a High-speed Electrical Readout Method for Graphene Nanodevices
06/30/2023
New Material Shows Promise for Next-Generation Memory Technology
06/29/2023
Artificially Cultured Brains Improve Processing of Time Series Data
06/20/2023
Combining Twistronics with Spintronics Could Be the Next Giant Leap in Quantum Electronics
06/19/2023
Theory’s Predictive Power: Creating Effective and Low-Cost Rare-earth Element based Catalysts
06/07/2023
Researchers Discover Materials Exhibiting Huge Magnetoresistance
06/02/2023
Unveiling the Nanoscale Frontier: Innovating with Nanoporous Model Electrodes
05/23/2023
Researchers Develop Calcium Rechargeable Battery with Long Cycle Life
04/27/2023
Boosting the Capacity and Voltage of Zinc-Air Batteries
02/02/2023
The Power of Theory: Finding an Efficient Electrocatalyst for Hydrogen Peroxide Synthesis
01/13/2023
Theoretical Computations Identify a Solid-State Hydrogen Storage Material’s Key Bottleneck