Papers citing Designing and understanding light-harvesting devices with machine learning
Analysis and evaluation of machine learning applications in materials design and discovery
Materials Today Communications · 2023
Mahsa Golmohammadi, Masoud Aryanpour
Read original paper ↗ ·An Expedited Route to Optical and Electronic Properties at Finite Temperature via Unsupervised Learning
Molecules · 2023
Fulvio Perrella, Federico Coppola, Nadia Rega, Alessio Petrone
Read original paper ↗ ·A review on the application of machine learning in production of woody biomass from natural and planted forests
Journal of Renewable and Sustainable Energy · 2023
Wei Peng, Omid Karimi Sadaghiani
Read original paper ↗ ·TimeSOAP: Tracking high-dimensional fluctuations in complex molecular systems via time variations of SOAP spectra
The Journal of Chemical Physics · 2023
Cristina Caruso, Annalisa Cardellini, Martina Crippa, Daniele Rapetti, Giovanni Maria Pavan
Read original paper ↗ ·An evolutionary-driven AI model discovering redox-stable organic electrode materials for alkali-ion batteries
Energy storage materials · 2023
Rodrigo Pereira de Carvalho, Daniel Brandell, Carlos Moyses Araujo
Read original paper ↗ ·A review on the applications of machine learning and deep learning in agriculture section for the production of crop biomass raw materials
Energy Sources Part A Recovery Utilization and Environmental Effects · 2023
Wei Peng, Omid Karimi Sadaghiani
Read original paper ↗ ·Revolutionizing Low‐Cost Solar Cells with Machine Learning: A Systematic Review of Optimization Techniques
Advanced Energy and Sustainability Research · 2023
Satyam Bhatti, Habib Ullah Manzoor, Bruno Michel, Ruy S. Bonilla, Richard Abrams, Ahmed Zoha, Sajjad Hussain, Rami Ghannam
Read original paper ↗ ·Efficient modeling of double absorber layered structure in perovskite solar cells using machine learning techniques
Physica Scripta · 2023
J. Prasanna, Ekta Goel, Amarjit Kumar
Read original paper ↗ ·Tunable Band Engineering Management on Perovskite MAPbBr3/COFs Nano‐Heterostructures for Efficient S–S Coupling Reactions
Small · 2023
Qianying Lin, Siyi Tan, Jiwu Zhao, Xiao Gang Fang, Ying Wang, Na Wen, Zizhong Zhang, Zhengxin Ding, Rusheng Yuan, Guiyang Yan, Shengye Jin, Jinlin Long
Read original paper ↗ ·Machine learning for sustainable reutilization of waste materials as energy sources – a comprehensive review
International Journal of Green Energy · 2023
Wei Peng, Omid Karimi Sadaghiani
Read original paper ↗ ·The emergence of quantum energy science
Journal of Physics Energy · 2023
Florian Metzler, Jorge I. Sandoval, Nicola Galvanetto
Read original paper ↗ ·Exploration of Solution-Processed Bi/Sb Solar Cells by Automated Robotic Experiments Equipped with Microwave Conductivity
JACS Au · 2023
Chisato Nishikawa, Ryosuke Nishikubo, Fumitaka Ishiwari, Akinori Saeki
Read original paper ↗ ·AI-driven robotic chemist for autonomous synthesis of organic molecules
Science Advances · 2023
Taesin Ha, Dongseon Lee, Youngchun Kwon, Min Sik Park, Lee Sangyoon, Jaejun Jang, B.‐D. Choi, Hyunjeong Jeon, Jeonghun Kim, Hyundo Choi, Hyung-Tae Seo, Wonje Choi, Wooram Hong, Young Jin Park, Junwon Jang, Joon-Kee Cho, Bosung Kim, Hyukju Kwon, Gahee Kim, Won Seok Oh, Jin Woo Kim, Joon Hyuk Choi, Minsik Min, Aram Jeon, Yongsik Jung, Eunji Kim, Hyosug Lee, Youn-Suk Choi
Read original paper ↗ ·Machine Learning-Based Screening for Potential Singlet Fission Chromophores: The Challenge of Imbalanced Data Sets
The Journal of Physical Chemistry Letters · 2023
Lyuben Borislаvov, Miroslava Nedyalkova, Alia Tadjer, Önder Aydemir, Julia Romanova
Read original paper ↗ ·A Comprehensive Survey of Machine Learning Methodologies with Emphasis in Water Resources Management
Applied Sciences · 2023
Maria Drogkoula, Konstantinos Kokkinos, Nicholas Samaras
Read original paper ↗ ·Light Harvesting Modulation of Melanin-Like Polymers via Thiol-Michael “Click” Chemistry
Macromolecules · 2023
Yuan Zou, Huijie Liu, Xianheng Wang, Yuanting Xu, Ye Yang, Wanjie Bai, Yiwen Li
Read original paper ↗ ·Overview: Photovoltaic Solar Cells, Science, Materials, Artificial Intelligence, Nanotechnology and State of the Art
Engineering materials · 2023
Carlton Anthony Taft, Jose Gabriel Solano Canchaya
Read original paper ↗ ·Nature-inspired and computer-aided approaches to enable improved photovoltaic materials, more efficient processing, and novel devices
Elsevier eBooks · 2024
Aloysius F. Hepp, Ryne P. Raffaelle
Read original paper ↗ ·Workflow for practical quantum chemical calculations with a quantum phase estimation algorithm: electronic ground and π–π* excited states of benzene and its derivatives
Physical Chemistry Chemical Physics · 2024
Y. Ino, Misaki Yonekawa, Hideto Yuzawa, Yuichiro Minato, Kenji Sugisaki
Read original paper ↗ ·Optimizing biodiesel production from waste with computational chemistry, machine learning and policy insights: a review
Environmental Chemistry Letters · 2024
Ahmed Ibrahim Osman, Mahmoud Nasr, Mohamed R. F. Farghali, Ahmed K. Rashwan, Adel Abdelkader, Ala'a Hamed Al-Muhtaseb, Ikko Ihara, David W. Rooney
Read original paper ↗ ·Chemical physics behind Tetraphenylporphyrin-PC70BM interaction in solution: Charge transfer, non-covalent binding and photoactive properties
Chemical Physics Letters · 2024
Subrata Nayak, Shalmali Bhattacharya, Shalmali Bhattacharya, Viki Bhakta, Sumanta Bhattacharya, Sumanta Bhattacharya
Read original paper ↗ ·Learning from machine learning: the case of band-gap directness in semiconductors
Discover Materials · 2024
Elton Ogoshi, Mário Popolin Neto, Carlos Mera Acosta, Gabriel M. Nascimento, J. N. B. Rodrigues, Osvaldo N. Oliveira, Fernando V. Paulovich, Gustavo M. Dalpian
Read original paper ↗ ·Spectroscopic and quantum chemical insights on supramolecular interaction between N-methylfulleropyrrolidine and designed porphyrins in solution
Chemical Physics Letters · 2024
Shiv Sankar Saha, Subrata Nayak, Shalmali Bhattacharya, Shrabanti Bhattacharya Banerjee, Sumanta Bhattacharya
Read original paper ↗ ·Exploring the chemical physics in tetraphenylporphyrin-N-methylfulleropyrrolidine supramolecular complex by spectroscopic investigations and quantum chemical calculations
Chemical Physics · 2024
Shiv Sankar Saha, Subrata Nayak, Shalmali Bhattacharya, Shalmali Bhattacharya, Suravi Paul, Shrabanti Bhattacharya Banerjee, Sumanta Bhattacharya, Sumanta Bhattacharya
Read original paper ↗ ·In Silico Chemical Experiments in the Age of AI: From Quantum Chemistry to Machine Learning and Back
Advanced Materials · 2024
Abdulrahman Aldossary, Jorge A. Campos-Gonzalez-Angulo, Sergio Pablo‐García, Shi Xuan Leong, Ella Miray Rajaonson, Luca Thiede, Gary Tom, Andrew Wang, Davide Avagliano, Alán Aspuru‐Guzik
Read original paper ↗ ·Machine learning approaches for assessing rechargeable battery state-of-charge in unmanned aircraft vehicle-eVTOL
Journal of Computational Science · 2024
M. Thien Phung, Tri-Chan-Hung Nguyen, Mohammad Shaheer Akhtar, O–Bong Yang
Read original paper ↗ ·Exploring KGeCl3 material for perovskite solar cell absorber layer through different machine learning models
Solar Energy · 2024
Nikhil Shrivastav, Mir Aamir Hamid, Jaya Madan, Rahul Pandey
Read original paper ↗ ·Bioinspired Photonic Systems Directed by Designer DNA Nanostructures
ACS Applied Optical Materials · 2024
Deeksha Satyabola, Abhay Prasad, Hao Yan, Xu Zhou
Read original paper ↗ ·A review on the algae-derived biochar catalysts:Advanced oxidation processes and machine learning tools
Separation and Purification Technology · 2024
Yuchen Chu, Zihao Wang, Wenjun Wang, Yuxi Zeng, Yuxi Zeng, Siying He, Chen Yan, Fanzhi Qin, Maihang Wu, Guangming Zeng, Chengyun Zhou
Read original paper ↗ ·Predicting PbS Colloidal Quantum Dot Solar Cell Parameters Using Neural Networks Trained on Experimental Data
Advanced Intelligent Systems · 2024
Hoon Jeong Lee, Arlene Chiu, Yida Lin, Sreyas M. Chintapalli, Serene Kamal, Eric Ji, Susanna M. Thon
Read original paper ↗ ·Toward Artificial Photosynthetic Assemblies Inspired by Photosynthetic Bacteria
ChemCatChem · 2024
Yifei Han, Zhan‐Ting Li, Jia Tian
Read original paper ↗ ·Lanthanide-Metal-Doped Light-Harvesting Quantum Dots for Exceptional X-ray Imaging Scintillators
ACS Energy Letters · 2024
Xin Zhu, Renqian Zhou, Zhi Wang, Simil Thomas, Partha Maity, Luis Gutiérrez‐Arzaluz, Wentao Wu, Tulai Sun, Tian Jin, Haiting Cai, Jianxin Wang, Husam Niman Alshareef, Osman M. Bakr, Yihan Zhu, Omar F. Mohammed
Read original paper ↗ ·Advanced Computational Techniques for Optimizing Manganese-Based Perovskite Solar Cells: From SCAPS-1D Simulations to Machine Learning Predictions
Journal of Electronic Materials · 2024
Nikhil Shrivastav, Ahmad Abu Jrai, Prakash Kanjariya, Halijah Hassan, Aniket Verma, Jaya Madan, Rahul Pandey
Read original paper ↗ ·Predicting electronic screening for fast Koopmans spectral functional calculations
npj Computational Materials · 2024
Yannick Schubert, Sandra Luber, Nicola Marzari, Edward Linscott
Read original paper ↗ ·Design of simple-structured conjugated polymers for organic solar cells by machine learning-assisted structural modification and experimental validation
Digital Discovery · 2025
Shogo Tadokoro, Ryosuke Kamimura, Fumitaka Ishiwari, Akinori Saeki
Read original paper ↗ ·Machine Learning for Custom-Designed Light Emitters in Biomedicine
Engineering materials · 2025
Samson Olusegun Afolabi, Екатерина Владимировна Скорб, Sergey Shityakov
Read original paper ↗ ·Artificial intelligence interventions in 2D MXenes-based photocatalytic applications
Coordination Chemistry Reviews · 2025
Durga Madhab Mahapatra, Ashish Kumar, Rajesh Kumar, Navneet Kumar Gupta, Baranitharan Ethiraj, Lakhveer Singh
Read original paper ↗ ·Designing and optimization of a highly efficient and new lead-free Cs2RbGaI6 based double perovskite solar cell through SCAPS-1D and machine learning
Inorganic Chemistry Communications · 2025
Vishal Deswal, Sarita Baghel
Read original paper ↗ ·Bioinspired Deformable Antireflective Materials by Block Copolymer Self-Assembly
ACS Applied Materials & Interfaces · 2025
Dong Won You, Ji-Woong Yoon, Seonghyun Kim, Seonghyun Kim, Geon Gug Yang, Chan Woo Lee, Jonghwa Shin, Seungbum Hong, Jang Hwan Kim, Sang Ouk Kim, Sang Ouk Kim
Read original paper ↗ ·Pyrene-Based Triphenylamine Light-Harvesting Materials with Related Structure–Property Relationships
The Journal of Organic Chemistry · 2025
Shaoling Li, Jieyu Lin, Xiaoxue Chen, Wei Liu, Zhixin Xie, Chongyang Zeng, Jing Wang, Yonggang Min, Xing Feng
Read original paper ↗ ·State-of-charge estimation and prediction by machine learning models using experimental dataset of lithium-ion batteries based on ionic liquid modified LiFSI electrolyte
Materials Letters · 2025
M. Thien Phung, Farjana Rahman, Chong Yeal Kim, Mohammad Shaheer Akhtar, O–Bong Yang
Read original paper ↗ ·Advanced intelligent recognition algorithm for tree canopy carbon sequestration capacity based on 3D visualization: application in Larch plantations under drought stress
Ecological Indicators · 2025
Chunyan Wu, Min Cheng, Dongsheng Chen, Shougong Zhang, Xiaomei Sun
Read original paper ↗ ·AI-driven solutions in wastewater treatment and agricultural reuse systems: A comprehensive review
Journal of Environmental Management · 2025
Yanbo Liu, Giuseppe Mancuso, Liliana Petrotto, Stevo Lavrnić, Ziyang Dong, Yu Tian, Jun Zhang, Attilio Toscano
Read original paper ↗ ·Systematic review and topic classification of soft computing and machine learning in water resources management
Discover Sustainability · 2025
Maria Drogkoula, Nicholas Samaras, Omiros Iatrellis, Eftihia Nathanail, Konstantinos Kokkinos
Read original paper ↗ ·AI‐Driven Advances in Sustainable Materials for Green Energy: From Innovation to Lifecycle Management
SusMat · 2025
Yuehui Xian, Cheng Li, Yangyang Xu, Yumei Zhou, Dezhen Xue
Read original paper ↗ ·Advances on biochar applications for organic wastewater Treatment: Material design, removal mechanisms, innovative machine learning and challenges
Environmental Research · 2025
Meile Chu, Jing Zhao, Mengyuan Zou, Wenting Xing, Yanfei Liu
Read original paper ↗ ·Accelerating the discovery of high-efficiency donor–acceptor pairs in organic photovoltaics via SolarPCE-Net guided screening
Journal of Materials Chemistry A · 2025
Xingyu Liu, Bo Hu, Peng Liu, Meng Huang, Minghui Li, Y. Wan, Bram Hoex, Tong Xie
Read original paper ↗ ·A rotational wind energy harvester based on the centrifugal mechanism for self-powered sensing
Sustainable materials and technologies · 2025
Hao Cao, Hongye Pan, Hai Li, Mengqian Chen, Huiyu Zhou, Jianhong Liang, Aisong Li, Daiyang Gao
Read original paper ↗ ·Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency
Advanced Energy Materials · 2025
Kwang S. Kim
Read original paper ↗ ·The Overtones of the Carotenoid Vibrational Modes Significantly Improve the Quality of Optical Response Modeling
Russian Journal of Plant Physiology · 2025
Чесалин Денис Дмитриевич, Eugene G. Maksimov, Svetlana V. Sidorenko, Roman Yu. Pishchalnikov
Read original paper ↗ ·