Crack Catcher AI Collaboration: Members of CAPTIVATE—specifically those in the Renewable Energy and Artificial Intelligence Research Group (REALM), led by Dr. Endang Djuana—have collaborated with a team from the Oregon Institutee of Technology (Oregon Tech) under the leadership of Prof. Arief Budiman, the Principal Investigator of the Crack Catcher AI Project. The REALM Research Group’s primary contributions within CAPTIVATE lie in the areas of modeling, simulation, and the development of machine learning prediction models to support research in materials, energy, and biomedical applications. This work builds upon extensive experience in artificial intelligence and machine learning research across related fields, including energy, agriculture, biomedicine, and signal processing. The team secured a spot in the national semifinal round of the U.S. Department of Energy’s (DOE) American-Made Solar Innovation competition in 2022 (Round 6). Project details can be viewed in this Crack Catcher AI YouTube video. We have published a Q1 journal paper—a result of the first stage of this research project—in the journal *Solar Energy Materials and Solar Cells*; the link to the pre-print text can be found here. Reference: Budiman AS, Putri DN, Candra H, Djuana E, Sari TK, Aji DP, Putri LR, Sitepu E, Speaks D, Pasang T. Crack Catcher AI–Enabling smart fracture mechanics approaches for damage control of thin silicon cells or wafers. *Solar Energy Materials and Solar Cells*. 2024 Aug 15;273:112927. Collaboration Track Record: Dr. Endang Djuana has an extensive history of collaboration with Prof. Arief Budiman, beginning with the Smart Dome 4.0 Project. Funded by a national grant in Indonesia under the Kedaireka scheme, this project involved constructing two Smart Dome pilot units—one in Tanjung Sari (Sumedang, West Java) and another in Pupuan (Tabanan, Bali)—and resulted in the publication of several papers in international conferences and journals. The collaboration operates under the leadership of Professor Fergyanto Gunawan of Binus University (Binus ASO / Industrial Engineering Postgraduate Department) and includes four Co-PIs: Professor Arief Budiman (Industrial Engineering Postgraduate Department), Professor Bens Pardamean (Binus BDSRC / AI Center), Dr. Endang Djuana (Department of Electrical / Computer Systems Engineering, University Trisakti), and Mr. Sugiarto Romeli from PT Impack Pratama Industry Tbk. Building upon that project, Dr. Djuana has several other collaborative projects utilizing Artificial Intelligence/Machine Learning, as follows: Agricultural Photovoltaic Dome (Agro PV Dome), Crack Catcher AI, Battery Charging Optimization, and the latest Biomedical and Nanomaterials Consortium jointly led by Professor Arief Budiman, Professor Bens Pardamean, Professor Derrick Speaks, Professor Rachel Speaks, and Dr. Endang Djuana. References: Budiman AS, Putri DN, Candra H, Djuana E, Sari TK, Aji DP, Putri LR, Sitepu E, Speaks D, Pasang T. Crack Catcher AI–Enabling smart fracture mechanics approaches for damage control of thin silicon cells or wafers. Solar Energy Materials and Solar Cells. 2024 Aug 15;273:112927. Budiman AS, Gunawan F, Djuana E, Pardamean B, Romeli S, Putri DN, Aji DP, Rahardjo K, Wibowo MI, Daffa N, Owen R. Smart dome 4.0: Low-cost, independent, automated energy system for agricultural purposes enabled by machine learning. In Journal of Physics: Conference Series 2022 Apr 1 (Vol. 2224, No. 1, p. 012118). IOP Publishing. Gunawan FE, Budiman AS, Pardamean B, Djuana E, Romeli S, Cenggoro TW, Purwandari K, Hidayat AA, Redi AA, Asrol M. Multivariate time-series deep learning for joint prediction of temperature and relative humidity in a closed space. Procedia Computer Science. 2023 Jan 1;227:1046-53. Cenggoro TW, Elwirehardja GN, Dominic N, Setiawan KE, Rahutomo R, Djuana E, Gunawan FE, Budiman AS, Romeli S, Pardamean B. Deep Learning with Greedy Layer-Wise Compound Scaling for Temperature and Humidity Prediction in Solar Dryer Dome. Available at SSRN 4123081. 2022. Widjaja RG, Asrol M, Agustono I, Djuana E, Harito C, Elwirehardja GN, Pardamean B, Gunawan FE, Pasang T, Speaks D, Hossain E, Budiman AS. State of charge estimation of lead-acid battery using neural network for advanced renewable energy systems. Emerging Science Journal. 2023 May 3;7(3):691-703. Agustono I, Asrol M, Budiman AS, Djuana E, Gunawan FE. State of Charge Prediction of Lead-Acid Battery using Transformer Neural Network for Solar Smart Dome 4.0. International Journal of Emerging Technology and Advanced Engineering. 2022. 12(10): 1-10.