Assessing open-pit mine-site photovoltaic (PV) and floating PV potential using vision large model
The extraction and utilization of fossil fuels from mining areas worldwide have led to significant CO2 emissions. Post-mining landscapes also present challenging environmental conditions that can hinder effective land use.
Wang, Guohao +2 more
core +1 more source
Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale +6 more
wiley +1 more source
Simulation of the effects of global irradiance, ambient temperature and partial shading on the output of the photovoltaic module using MATLAB/Simulink and ICAP/4 [PDF]
This thesis is investigates the effects of operating conditions on the output of a photovoltaic module and describes methods used for maximising the power output of the module.
Polyanskaya, Evgeniya
core
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Applying an environmental life-cycle approach to a silicon photovoltaic system [PDF]
Life Cycle Assessment (LCA) is potentially an important decision support tool for the energy sector. This paper explores the effectiveness of the use of LCA in assessing the environmental impacts of photovoltaic (PV) systems, and the value in doing so ...
Frost, Sean
core
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source
Predictive modeling for low power photovoltaic systems
The research work aims the integration of autonomous or grid connected PV systems could be more safely and more cheaply, as presently possible. The obstacles to the spread of PV systems, which need for accurate 15-minute schedules, but the PV technology ...
Kapros Zoltán
core
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Floating Solar: An Emerging Opportunity at the Energy-Water Nexus
Texas is experiencing tremendous growth, which puts pressure on resources including water and electricity supplies. Texas leads the nation in renewable energy production and is experiencing tremendous growth in the solar energy sector, with the Solar ...
Carlos Gamarra, Jennifer Jennifer Ronk
doaj
The Thermodynamic and Cost Benefits of Floating Cooling Systems
Historically, a fixed cooling concept is used in the design of evaporative heat rejection systems for process and power plants. In the fixed cooling mode, a plant is designed for maximum output at the design summer wet bulb temperature.
Johnnie, D. H., Jr. +2 more
core

