Papers citing How To Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics
Increasing metabolic pathway flux by using machine learning models
Current Opinion in Biotechnology · 2020-09-04
Kang Zhou, Wenfa Ng, Yoel Rene Cortes-Pena, Xiaonan Wang
Read original paper ↗ ·Nanoscale Drug Delivery Systems for Glaucoma: Experimental and In Silico Advances
Current Topics in Medicinal Chemistry · 2020-09-23
Smriti Sharma, Vinayak Bhatia
Read original paper ↗ ·Machine learning in materials design: Algorithm and application*
Chinese Physics B · 2020-10-14
Zhilong Song, Xiwen Chen, Fanbin Meng, Guanjian Cheng, Chen Wang, Zhongti Sun, Wan‐Jian Yin
Read original paper ↗ ·Chalcophosphates: A Treasure House of Infrared Nonlinear Optical Materials
Crystal Growth & Design · 2020-10-23
Zhuang Li, Jiyong Yao, Yicheng Wu
Read original paper ↗ ·Experimental and Numerical Study Determining the Warpage Phenomenon of Thin-Wall Injection Molding
Advances in Polymer Technology · 2020-10-26
Yueh-Tzu Huang, Chiung‐Fang Huang, Bou‐Yue Peng, Chun‐Wei Chang, Hsing-Chung Cheng, Yi Lin, Yung‐Kang Shen, Hao Wang
Read original paper ↗ ·Optimization of Solar Cell Production Lines Using Neural Networks and Genetic Algorithms
ACS Applied Energy Materials · 2020-10-27
Yoann Buratti, Casper Eijkens, Ziv Hameiri
Read original paper ↗ ·Using design of experiments to understand and predict polymer microcapsule core‐shell architecture
Journal of Applied Polymer Science · 2020-10-28
Andrew T. Lock, Raymond P. Seekell, Ashwin Kumar Vutha, John N. Kheir, Brian D. Polizzotti
Read original paper ↗ ·Machine learned metaheuristic optimization of the bulk heterojunction morphology in P3HT:PCBM thin films
Computational Materials Science · 2020-10-30
Joydeep Munshi, Wei Chen, TeYu Chien, Ganesh Balasubramanian
Read original paper ↗ ·Machine Learning in Nano-Scale Biomedical Engineering
IEEE Transactions on Molecular Biological and Multi-Scale Communications · 2020-11-03
Alexandros–Apostolos A. Boulogeorgos, Stylianos E. Trevlakis, Sotiris A. Tegos, Vasilis K. Papanikolaou, George K. Karagiannidis
Read original paper ↗ ·Engineered two-dimensional nanomaterials: an emerging paradigm for water purification and monitoring
Materials Horizons · 2020-11-04
Minxiang Zeng, Mingfeng Chen, Dali Huang, Shijun Lei, Xuan Kai Zhang, Ling Wang, Zhengdong Cheng
Read original paper ↗ ·Emerging materials intelligence ecosystems propelled by machine learning
Nature Reviews Materials · 2020-11-09
Rohit Batra, Le Song, Rampi Ramprasad
Read original paper ↗ ·Machine Learning Predictions of Block Copolymer Self‐Assembly
Advanced Materials · 2020-11-18
Kun‐Hua Tu, H. H. HUANG, Sangho Lee, Wonmoo Lee, Zehao Sun, Alfredo Alexander‐Katz, Caroline Anne Ross
Read original paper ↗ ·Optimization of the Bulk Heterojunction of All-Small-Molecule Organic Photovoltaics Using Design of Experiment and Machine Learning Approaches
ACS Applied Materials & Interfaces · 2020-11-23
Aaron Kirkey, Erik J. Luber, Bing Cao, Brian C. Olsen, Jillian M. Buriak
Read original paper ↗ ·One-step statistical design of experiment for the screening and optimization of magnetite nanoparticles yields from solvothermal synthesis
Microporous and Mesoporous Materials · 2020-11-27
Sadiq Sani, Rohana Adnan, Mohammad Anwar Mohamed Iqbal
Read original paper ↗ ·Automated engineering of synthetic metabolic pathways for efficient biomanufacturing
Metabolic Engineering · 2020-12-13
Irene Otero‐Muras, Pablo Carbonell
Read original paper ↗ ·A review on machine learning algorithms for the ionic liquid chemical space
Chemical Science · 2021-01-01
Spyridon Koutsoukos, Frederik Philippi, Francisco Malaret, Tom Welton
Read original paper ↗ ·Accelerating organic solar cell material's discovery: high-throughput screening and big data
Energy & Environmental Science · 2021-01-01
Xabier Rodríguez‐Martínez, Enrique Pascual‐San‐José, Mariano Campoy‐Quiles
Read original paper ↗ ·Determining usefulness of machine learning in materials discovery using simulated research landscapes
Physical Chemistry Chemical Physics · 2021-01-01
Marcos del Cueto, Alessandro Troisi
Read original paper ↗ ·High-throughput virtual screening for organic electronics: a comparative study of alternative strategies
Journal of Materials Chemistry C · 2021-01-01
Ömer H. Omar, Marcos del Cueto, Tahereh Nematiaram, Alessandro Troisi
Read original paper ↗ ·In Silico Modeling of Anticancer Drugs: Recent Advances
Intelligent systems reference library · 2021-01-01
Smriti Sharma, Vinayak Bhatia
Read original paper ↗ ·Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing
SSRN Electronic Journal · 2021-01-01
Zhe Liu, Nicholas Rolston, Austin C. Flick, Thomas William Colburn, Zekun Ren, Reinhold Horst Dauskardt, Tonio Buonassisi
Read original paper ↗ ·Materials informatics and sustainability—The case for urgency
Data-Centric Engineering · 2021-01-01
Hannah Melia, Eric S. Muckley, James E. Saal
Read original paper ↗ ·Using design of experiment to obtain a systematic understanding of the effect of synthesis parameters on the properties of perovskite nanocrystals
Reaction Chemistry & Engineering · 2021-01-01
Robert W. Baker, Laura C. Forfar, Xinxing Liang, Petra J. Cameron
Read original paper ↗ ·Machine learning for guiding high-temperature PEM fuel cells with greater power density
Patterns · 2021-01-12
Luis A. Briceno-Mena, Gokul Venugopalan, José A. Romagnoli, Christopher George Arges
Read original paper ↗ ·Machine Learning in FET-based Chemical and Biological Sensors: A Mini Review
Journal of Sensor Science and Technology · 2021-01-31
Jae‐Hyuk Ahn
Read original paper ↗ ·Identification of the dominant recombination process for perovskite solar cells based on machine learning
Cell Reports Physical Science · 2021-02-01
Vincent Marc Le Corre, Tejas S. Sherkar, Marten Koopmans, L. Jan Anton Koster
Read original paper ↗ ·Measuring, controlling and exploiting heterogeneity in optoelectronic nanowires
Journal of Physics Photonics · 2021-02-03
Ruqaiya Al‐Abri, Hoyeon Choi, Patrick Parkinson
Read original paper ↗ ·Experiment‐Oriented Machine Learning of Polymer:Non‐Fullerene Organic Solar Cells
Advanced Functional Materials · 2021-02-25
Kakaraparthi Kranthiraja, Akinori Saeki
Read original paper ↗ ·Predictive AI platform on thin film evaporation in hierarchical structures
International Journal of Heat and Mass Transfer · 2021-02-26
Parham Jafari, Saeed Sarmadi, Shahin Tasoujian, Hadi Ghasemi
Read original paper ↗ ·Machine Learning Techniques for Fluid Flows at the Nanoscale
Fluids · 2021-03-01
Filippos D. Sofos, Theodoros E. Karakasidis
Read original paper ↗ ·Using simulation to accelerate autonomous experimentation: A case study using mechanics
iScience · 2021-03-02
Aldair E. Gongora, Kelsey L. Snapp, Emily Whiting, Patrick F. Riley, Kristofer G. Reyes, Elise Feng‐i Morgan, Keith A. Brown
Read original paper ↗ ·Directional percolating pathways in demixing blends on a wetting substrate
Journal of Applied Physics · 2021-03-08
Abheeti Goyal, Paul van der Schoot, Federico Toschi
Read original paper ↗ ·Lessons learned from device modeling of organic & perovskite solar cells
Unknown journal · 2021-03-09
Vincent Le Corre
Read original paper ↗ ·Rational Design of Donor–Acceptor Based Semiconducting Copolymers with High Dielectric Constants
The Journal of Physical Chemistry C · 2021-03-23
Aiswarya Abhisek Mohapatra, Yifan Dong, Boregowda Puttaraju, Ashutosh Mohanty, Aditya Sadhanala, Awadhesh Narayan, Chris McNeill, James Robert Durrant, Satish Patil, Xuechen Jiao, Priyakumari Chakkingal Parambil
Read original paper ↗ ·Machine learning and design of experiments with an application to product innovation in the chemical industry
Journal of Applied Statistics · 2021-03-26
Rosa Arboretti, Riccardo Ceccato, Luca Pegoraro, Luigi Salmaso, Chris E. Housmekerides, Luca Spadoni, Elisabetta Pierangelo, Sara Quaggia, Catherine Tveit, Sebastiano Vianello
Read original paper ↗ ·Grafting of Acrylic Membrane Prepared from Fibers Waste for Dyes Removal: Methylene Blue and Congo Red
Separations · 2021-04-01
Ahmed Labena, Ahmed El-Sayed Abdelhamid, Shimaa Husien, Tarek Youssef, Ehab Azab, Adil A. Gobouri, Gehan Safwat
Read original paper ↗ ·Research on Application of Machine Learning Technology in New Material System
Journal of Physics Conference Series · 2021-04-01
Jiaoyu Wang, Daxiu Zhang
Read original paper ↗ ·A Data-Driven Framework for the Accelerated Discovery of CO2 Reduction Electrocatalysts
Frontiers in Energy Research · 2021-04-13
Ali Malek, Qianpu Wang, Stefan Baumann, Olivier Guillon, Michael Hermann Eikerling, Kourosh Malek
Read original paper ↗ ·Statistical Multiobjective Optimization of Thiospinel CoNi 2 S 4 Nanocrystal Synthesis via Design of Experiments
ACS Nano · 2021-04-20
Emily M. Williamson, Bryce A. Tappan, Lucía Mora‐Tamez, Gözde Barım, Richard L. Brutchey
Read original paper ↗ ·Achieving a sub-10 nm nanopore array in silicon by metal-assisted chemical etching and machine learning
International Journal of Extreme Manufacturing · 2021-05-10
Yun Chen, Yanhui Chen, Junyu Long, Dachuang Shi, Xin Chen, Maoxiang Hou, Jian Gao, Huilong Liu, Yunbo He, Bi Fan, Ching‐Ping Wong, Ni Zhao
Read original paper ↗ ·Harnessing artificial intelligence for the next generation of 3D printed medicines
Advanced Drug Delivery Reviews · 2021-05-18
Moe Elbadawi, Laura E. McCoubrey, Francesca K. H. Gavins, Jun Jie Ong, Álvaro Goyanes, Simon Gaisford, Abdul W. Basit
Read original paper ↗ ·Algorithmically extracted morphology descriptions for predicting device performance
Computational Materials Science · 2021-05-25
Wesley K. Tatum, Diego Torrejon, Anton B. Resing, Jonathan W. Onorato, Christine Keiko Luscombe
Read original paper ↗ ·An attention-driven long short-term memory network for high throughput virtual screening of organic photovoltaic candidate molecules
Solar Energy · 2021-06-05
Ryan J. Richards, Arindam Paul
Read original paper ↗ ·Machine learning in thermoelectric materials identification: Feature selection and analysis
Computational Materials Science · 2021-06-08
Yijing Xu, Lu Jiang, Xiang Qi
Read original paper ↗ ·Solvent Vapor Annealing, Defect Analysis, and Optimization of Self-Assembly of Block Copolymers Using Machine Learning Approaches
ACS Applied Materials & Interfaces · 2021-06-08
Gayashani Ginige, Youngdong Song, Brian C. Olsen, Erik J. Luber, Cafer Tayyar Yavuz, Jillian M. Buriak
Read original paper ↗ ·Design and Optimization of the Antireflective Coating Properties of Silicon Solar Cells by Using Response Surface Methodology
Coatings · 2021-06-16
Yahia F. Makableh, Hani Alzubi, Ghassan Tashtoush
Read original paper ↗ ·Database Creation, Visualization, and Statistical Learning for Polymer Li+-Electrolyte Design
Chemistry of Materials · 2021-06-21
Nicole S. Schauser, Gabrielle A. Kliegle, Piper A. Cooke, Rachel A. Segalman, Ram Seshadri
Read original paper ↗ ·Optimization of the Electrospun Niobium–Tungsten Oxide Nanofibers Diameter Using Response Surface Methodology
Nanomaterials · 2021-06-23
Babajide Oluwagbenga Fatile, Martin Pugh, Mamoun Medraj
Read original paper ↗ ·Machine learning and computation-enabled intelligent sensor design
Nature Machine Intelligence · 2021-06-28
Zachary S. Ballard, Calvin Brown, Asad M. Madni, Aydogan Özcan
Read original paper ↗ ·Noble-Metal-Free Multicomponent Nanointegration for Sustainable Energy Conversion
Chemical Reviews · 2021-07-06
Haijiao Lu, Julie Tournet, Kamran Dastafkan, Yun Liu, Yun Hau Ng, Siva Krishna Karuturi, Chuan Zhao, Zongyou Yin
Read original paper ↗ ·