Editor-in-Chief: Yanrong Li; Associate Editors: Carole Diederichs, Jianhua Hao, Sungjoo Lee, Yichun Liu, Roberto Morandotti, John Wang, Tianyou Zhai and Peng Zhou
InfoMat is an open access materials science and technology journal connecting advanced materials and information technology. The journal welcomes research on novel materials with unique electrical, optical and magnetic properties, and their applications. InfoMat is essential reading for researchers and engineers from academia and industry with an interest in materials science, electrical electronics, telecommunication, and information technology.
Read our Cross Journal Virtual Issue: Carbon Materials in Batteries here!
Learn more about InfoMat.
Be part of our future!
Learn why you should publish in InfoMat.
On the Cover
Articles
Ultra‐stretchable, super‐tough, and highly stable ion‐doped hydrogel for advanced robotic applications and human motion sensing
-  13 February 2025
Graphical Abstract

Although hydrogel-based sensors are recognized as key players in human motion interaction technologies, their commercialization is still hindered by stability issues, primarily due to their high water content. In this work, a smart sensory glove is developed using an innovative ionic hydrogel with exceptional mechanical, anti-freezing, and anti-drying properties and, thereby, unprecedented stability. Such smart gloves have significant potential for real-time robotic tasks in a smart laboratory setting, as well as for integration with VR and AR technologies for training, troubleshooting, and collaborative work across different geographical locations.
Enhanced cryogenic thermoelectric cooling of Bi0.5Sb1.5Te3 by carrier optimization
-  12 February 2025
Graphical Abstract

Solid-state thermoelectric cooling techniques hold vast application prospects across many cryogenic fields. This work proposes an effective strategy to improve the cooling capability of p-type Bi0.5Sb1.5Te3 through careful control of carrier optimization. A 10% improvement in cooling performance at 180 K compared to existing commercial thermoelectric coolers is realized, demonstrating the extended cooling capability of thermoelectric coolers at cryogenic temperatures.
Inkjet‐printed reconfigurable and recyclable memristors on paper
-  12 February 2025
Graphical Abstract

In this work, we focus on using sustainable production and additive manufacturing processes to fabricate high-yield, recyclable, multifunctional, and reconfigurable memristors on paper-based substrates. Reconfigurable memristors can mimic the functions of neurons and synapses, thereby simplifying the structure of neuromorphic computing systems. This approach unlocks potential for environmentally friendly neuromorphic electronics with applications in artificial intelligence and smart packaging.
All physical reservoir computing system with tunable temporal dynamics for multi‐timescale information processing
-  10 February 2025
Graphical Abstract

Leveraging the modulation effect of oxygen vacancies on the energy barrier, a homogeneously integrated all-PRC system with tunable temporal dynamics is constructed. The broad range ratio of temporal characteristic (>102) of the reservoir enables PRC to process information across multi-timescale. The constructed PRC is expected to assist visually impaired individuals in recognizing the type and distance of obstacles.
Polycyclization decorated organoboron emitters with hetero[8]helicenes electronic structure for highly‐efficient and stable narrowband circularly polarized electroluminescence
-  27 January 2025
Graphical Abstract
![Polycyclization decorated organoboron emitters with hetero[8]helicenes electronic structure for highly-efficient and stable narrowband circularly polarized electroluminescence Issue ,](/cms/asset/a53b391e-d6b0-4166-9538-d66b1d33f2cf/inf212652-toc-0001-m.jpg)
The first two pairs of geometrical hetero[8]helicenes enantiomers are developed and demonstrate that a large helicity of helicene electronic structure is required to balance both high luminescence dissymmetry factor (glum) and efficiency, simultaneously realizing a high EQE of 31.7%, an electroluminescence glum of +5.23/−5.07 × 10−3 and a long LT95 of 731 h at an initial luminance of 1000 cd/m2 in OLEDs.
The following is a list of the most cited articles based on citations published in the last three years, according to CrossRef.
A review of rechargeable batteries for portable electronic devices
-  6-32
-  28 March 2019
Graphical Abstract

Portable electronic devices (PEDs) are important information-exchange platforms for real-time responses. This review highlights how rechargeable battery technologies contribute to the fast rise of PEDs during the past decades. Development trends toward next-generation of batteries and the future research focuses are also presented.
Strain engineering of two-dimensional materials: Methods, properties, and applications
-  397-420
-  2 March 2021
Graphical Abstract

The methods of inducing strain to 2D materials are systematically classified, and the advantages and disadvantages of various methods are discussed. Moreover, the strain-modulated outstanding optical, electrical, and magnetic properties are summarized. Based on strain-induced effects, the applications of strained 2D materials including flexible strain sensors and photodetectors are further illustrated.
Challenges and perspectives for manganese‐based oxides for advanced aqueous zinc‐ion batteries
-  237-260
-  18 December 2019
Graphical Abstract

Benefiting from high operating voltage and acceptable specific capacity, recently, manganese-based oxides with different various crystal structures have been extensively studied as cathode materials for aqueous ZIBs. This review presents research progress of manganese-based cathodes in aqueous ZIBs, including various manganese-based oxides and their zinc storage mechanisms, optimization strategies, and the design of flexible aqueous ZIBs based on manganese-based cathodes (MZIBs). Besides, some valuable research directions for aqueous MZIBs are also discussed.
Machine learning: Accelerating materials development for energy storage and conversion
-  553-576
-  23 February 2020
Graphical Abstract

Nowadays, machine learning (ML) is an emerging research paradigm to revolutionize materials discovery. In this review, we briefly introduce the basic procedure of ML and common algorithms in materials science, and particularly focus on latest progress in applying ML to property prediction and materials development for energy-related fields, including catalysis, batteries, solar cells, and gas capture. This review could lead the way forward in the future development of ML in materials science.
Two‐dimensional materials: From mechanical properties to flexible mechanical sensors
-  1077-1094
-  16 December 2019
Recent issues
- Volume 7, Issue 1January 2025
- Volume 6, Issue 12December 2024
- Volume 6, Issue 11November 2024
- Volume 6, Issue 10October 2024