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Solar-driven water electrolysis requires high-performance photoelectrodes that exhibit excellent photoabsorption, superior charge transport, and optimized thermal management. In this work, we conducted a first-principles investigation to…

Chemical Physics · Physics 2025-08-22 Abdul Ahad Mamun , Muhammad Anisuzzaman Talukder

The optimization of composition and processing to obtain materials that exhibit desirable characteristics has historically relied on a combination of scientist intuition, trial and error, and luck. We propose a methodology that can…

Machine Learning · Statistics 2017-07-20 Julia Ling , Max Hutchinson , Erin Antono , Sean Paradiso , Bryce Meredig

The transition to a low-carbon economy demands efficient and sustainable energy-storage solutions, with hydrogen emerging as a promising clean-energy carrier and with metal hydrides recognized for their hydrogen-storage capacity. Here, we…

Given the advancements in data-driven modeling for complex engineering and scientific applications, this work utilizes a data-driven predictive control method, namely subspace predictive control, to coordinate hybrid power plant components…

Systems and Control · Electrical Eng. & Systems 2025-02-20 Manavendra Desai , Himanshu Sharma , Sayak Mukherjee , Sonja Glavaski

Quaternary mixed-metal chalcohalides (Sn$_2$BCh$_2$X$_3$) are emerging as promising lead-free perovskite-inspired photovoltaic absorbers. Motivated by recent developments of a first Sn$_2$BCh$_2$X$_3$-based device, we used density…

Materials Science · Physics 2023-09-28 Pascal Henkel , Jingrui Li , G. Krishnamurthy Grandhi , Paola Vivo , Patrick Rinke

Higher loading of active electrode materials is desired in batteries, especially those based on conversion reactions, for enhanced energy density and cost efficiency. However, increasing active material loading in electrodes can cause…

Machine Learning · Computer Science 2024-12-30 Vidushi Sharma , Andy Tek , Khanh Nguyen , Max Giammona , Murtaza Zohair , Linda Sundberg , Young-Hye La

Solution-processed amorphous silicon is a promising material for semiconductor devices. Unfortunately, its manufacturing leaves a high density of defects in the layer, which can be reduced by a treatment with hydrogen radicals. Here, we…

Engineering new glass compositions have experienced a sturdy tendency to move forward from (educated) trial-and-error to data- and simulation-driven strategies. In this work, we developed a computer program that combines data-driven…

Materials Science · Physics 2021-03-17 Daniel R. Cassar , Gisele G. dos Santos , Edgar D. Zanotto

Unpredictability of battery lifetime has been a key stumbling block to technology advancement of safety-critical systems such as electric vehicles and stationary energy storage systems. In this work, we present a novel hybrid fusion…

Computational Engineering, Finance, and Science · Computer Science 2024-10-10 Yisheng Liu , Boru Zhou , Tengwei Pang , Guodong Fan , Xi Zhang

Organic crystalline materials are potential candidates for photocatalytic overall water splitting (OWS). Although organic crystals have been heavily investigated for application in organic electronics, such as organic light-emitting diodes…

Materials Science · Physics 2026-02-23 James D. Green , Daniel G. Medranda , Hong Wang , Andrew I. Cooper , Jenny Nelson , Kim E. Jelfs

Hybrid conjugated polymer/fullerene filaments based on MEH-PPV/PVP/PCBM are prepared by electrospinning, and their properties assessed by scanning electron, atomic and lateral force, tunnelling, and confocal microscopy, as well as by…

Metal phosphosulfides have emerged as unique multifunctional materials, but they present unique synthesis challenges compared to more established material classes such as oxides and nitrides. As a consequence, experimental development and…

Electron scattering on liquid samples has been enabled recently by the development of ultrathin liquid sheet technologies. The data treatment of liquid-phase electron scattering has been mostly reliant on methodologies developed for gas…

Dye-sensitized solar cells (DSSCs) have been highlighted as the promising alternative to generate clean energy based on low pay-back time materials. These devices have been designed to mimic solar energy conversion processes from…

The active layer microstructure of organic solar cells is critical to efficiency. By studying the photovoltaic properties of organic solar cell's microstructure, it is possible to increase the efficiency of the solar cell. A graph-based…

Neural and Evolutionary Computing · Computer Science 2019-10-29 Caine Ardayfio

Solar shading design should be done for the desired Indoor Environmental Quality (IEQ) in the early design stages. This field can be very challenging and time-consuming also requires experts, sophisticated software, and a large amount of…

Machine Learning · Computer Science 2022-01-11 Maryam Daneshi , Reza Taghavi Fard , Zahra Sadat Zomorodian , Mohammad Tahsildoost

Hydrogen, the most abundant element in the universe, is crucial for understanding galaxy formation and evolution. The 21 cm neutral atomic hydrogen - HI spectral line maps the gas kinematics within galaxies, providing key insights into…

Recent surge in the number of Electric Vehicles have created a need to develop inexpensive energy-dense Battery Storage Systems. Many countries across the planet have put in place concrete measures to reduce and subsequently limit the…

Machine Learning · Computer Science 2023-04-14 Janamejaya Channegowda , Vageesh Maiya , Chaitanya Lingaraj

Hydrogen bonding plays a crucial role in biology and technology, yet it remains poorly understood and quantified despite its fundamental importance. Traditional models, which describe hydrogen bonds as electrostatic interactions between…

In this work, we propose a method of selecting the most desirable combinations of material for a perovskite solar cell design utilizing the genetic algorithm. Solar cells based on the methylammonium lead halide, CH3NH3PbX3, attract…

Materials Science · Physics 2020-11-17 Eungkyun Kim , Indranil Bhattacharya