Hydrogen

Researchers from the University of Manchester, led by Artem Mishchenko and Kostya S. Novoselov, have developed a novel approach to quantify hydrogen bonding in water, which could have significant implications for the energy sector. Their work, publis

In a collaborative effort, researchers from the University of Wisconsin-Madison, Ames Laboratory, and the University of North Texas have leveraged machine learning to accelerate the discovery of new hydrogen storage materials, a critical component in

Researchers from University College London, led by Angelos Michaelides, have made a significant discovery about the behavior of water under extreme conditions, with potential implications for energy storage technologies. The team, including Samuel W.

Researchers from the Federal University of Minas Gerais in Brazil, along with collaborators from the University of Science and Technology of China, have published a study in the journal *ACS Applied Materials & Interfaces* exploring a novel material

Researchers from the University of Porto, including Jose A. S. Laranjeira, Warda Elaggoune, Nicolas F. Martins, Xihao Chen, and Julio R. Sambrano, have published a study in the Journal of Physical Chemistry C exploring a novel approach to enhance hyd

Researchers at the University of Manchester, led by Professor Manish Chhowalla, have developed a novel method for producing high-quality, purely metallic two-dimensional (2D) molybdenum disulfide (MoS2) nanosheets at an unprecedented scale and speed.

Researchers from the Department of Physics at Mizoram University, India, have conducted a comprehensive study on a class of materials known as double perovskite hydrides, which could potentially revolutionize hydrogen storage for energy applications.

Researchers from various institutions, including the University of California, Santa Cruz, and the University of Houston, have developed new computational methods to identify ion insertion sites in organic crystalline materials, which are crucial for

In the quest for cleaner energy, Proton Exchange Membrane Fuel Cells (PEMFCs) stand as a promising contender, but their performance is often hampered by internal transport issues. A recent review published in the journal *Decarbonization* (formerly k

Researchers from the University of Toronto, led by Alex Hernandez and Alan Aspuru-Guzik, have developed a new machine learning tool called Catalyst GFlowNet to aid in the design of efficient and affordable catalysts for energy storage applications. T