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Developing advanced catalysts for acidic oxygen evolution reaction (OER) is crucial for sustainable hydrogen production. This study introduces a novel, multi-stage machine learning (ML) approach to streamline the discovery and optimization…

Materials Science · Physics 2024-07-09 Rui Ding , Jianguo Liu , Kang Hua , Xuebin Wang , Xiaoben Zhang , Minhua Shao , Yuxin Chen , Junhong Chen

This work highlights the potential of earth-abundant mixed-metal oxide catalysts for the acid-based oxygen evolution reaction. These catalysts offer numerous combinations of metal-centre compositions, which can enhance catalytic activity…

Applied Physics · Physics 2023-11-14 Erfan Fatehi , Manish Thadani , Gabriel Birsan , Robert W Black

Electrocatalytic hydrogen evolution reaction (HER) in alkaline media is a promising electrochemical energy conversion strategy. Ruthenium (Ru) is an efficient catalyst with a desirable cost for HER, however, the sluggish H2O dissociation…

We present a highly efficient workflow for designing semiconductor structures with specific physical properties, which can be utilized for a range of applications, including photocatalytic water splitting. Our algorithm generates candidate…

Dry reforming of methane (DRM) over platinum catalysts offers a promising route for CO2 utilization and syngas (H2/CO) production, a versatile feedstock for synthetic fuels. This study employs automated chemical kinetic model generation to…

Computational Physics · Physics 2025-08-05 Esther Ritov , Alon Grinberg Dana

The discovery and optimization of high-performance materials is the basis for advancing energy conversion technologies. To understand composition-property relationships, all available data sources should be leveraged: experimental results,…

Materials Science · Physics 2025-03-03 Lei Zhang , Markus Stricker

The limited availability of accurate experimental data in wide ranges of pressure, temperature, and composition is the main constraining factor for the proper development and assessment of thermodynamic models and equations of state. In the…

The electrocatalytic CO2 reduction reaction (CO2RR) is a complex multi-proton-electron transfer process that generates a vast network of reaction intermediates. Accurate prediction of free energy changes (G) of these intermediates and…

Chemical Physics · Physics 2025-04-23 Xuxin Kang , Wenjing Zhou , Ziyuan Li , Zhaoqin Chu , Hanqin Yin , Shan Gao , Aijun Du , Xiangmei Duan

Solid polymer electrolytes hold significant promise as materials for next-generation batteries due to their superior safety performance, enhanced specific energy, and extended lifespans compared to liquid electrolytes. However, the…

Chemical Physics · Physics 2025-04-04 Zhenze Yang , Weike Ye , Xiangyun Lei , Daniel Schweigert , Ha-Kyung Kwon , Arash Khajeh

Polymer electrolytes are critical for safe, high-energy-density solid-state batteries, yet discovering candidates that balance high ionic conductivity with high transference numbers remains a significant challenge. In this work, we develop…

Materials Science · Physics 2026-02-20 Antonia S. Kuhn , Jurğis Ruža , KyuJung Jun , Pablo Leon , Rafael Gómez-Bombarelli

As global warming soars, the need to assess and reduce the environmental impact of recommender systems is becoming increasingly urgent. Despite this, the recommender systems community hardly understands, addresses, and evaluates the…

Information Retrieval · Computer Science 2025-09-17 Lukas Wegmeth , Tobias Vente , Alan Said , Joeran Beel

The study of jet-inflated X-ray cavities provides a powerful insight into the energetics of hot galactic atmospheres and radio-mechanical AGN feedback. By estimating the volumes of X-ray cavities, the total energy and thus also the…

High Energy Astrophysical Phenomena · Physics 2023-04-13 Tomáš Plšek , Norbert Werner , Martin Topinka , Aurora Simionescu

Accurately reconstructing the global ocean deoxygenation over a century is crucial for assessing and protecting marine ecosystem. Existing expert-dominated numerical simulations fail to catch up with the dynamic variation caused by global…

Machine Learning · Computer Science 2024-05-14 Bin Lu , Ze Zhao , Luyu Han , Xiaoying Gan , Yuntao Zhou , Lei Zhou , Luoyi Fu , Xinbing Wang , Chenghu Zhou , Jing Zhang

The ability to efficiently evolve hydrogen via electrocatalysis at low overpotentials holds tremendous promise for clean energy. Hydrogen evolution reaction (HER) can be easily achieved from water if a voltage above the thermodynamic…

Solid-state electrolyte batteries are expected to replace liquid electrolyte lithium-ion batteries in the near future thanks to their higher theoretical energy density and improved safety. However, their adoption is currently hindered by…

Developing new metal hydrides is a critical step toward efficient hydrogen storage in carbon-neutral energy systems. However, existing materials databases, such as the Materials Project, contain a limited number of well-characterized…

Machine Learning · Computer Science 2026-01-30 Xiyuan Liu , Christian Hacker , Shengnian Wang , Yuhua Duan

The rational design of bifunctional electrocatalysts for the hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) is essential for achieving efficient and cost-effective overall water splitting. Atomically dispersed…

Materials Science · Physics 2026-05-04 Jiahang Li , Suhang Li , Chong Yan , Jiajun Yu , Qinzhuang Liu , Ruo-Ya Wang , Dongwei Ma

Electrocatalytic water splitting, which produces hydrogen and oxygen through water electrolysis, is a promising method for generating renewable, carbon-free alternative fuels. However, its widespread adoption is hindered by the high costs…

Materials Science · Physics 2024-12-23 Kajjana Boonpalit , Nongnuch Artrith

Accurately capturing the complex interaction between CO2 and water in porous media at the pore scale is essential for various geoscience applications, including carbon capture and storage (CCS). We introduce a comprehensive dataset…

Chemical Physics · Physics 2026-03-03 Alhasan Abdellatif , Hannah P. Menke , Julien Maes , Ahmed H. Elsheikh , Florian Doster

Despite long-standing efforts in accelerating scientific discovery with AI, building AI co-scientists remains challenging due to limited high-quality data for training and evaluation. To tackle this data scarcity issue, we present AutoSDT,…