The universe, in its grand cosmic ballet, is replete with mysteries, and among the most profound are the enigmatic black holes. These celestial behemoths, born from the collapse of massive stars, warp spacetime to such an extent that nothing, not even light, can escape their gravitational embrace. Their behavior, governed by Einstein's theory of General Relativity, pushes the boundaries of our understanding, presenting phenomena like Hawking radiation – a quantum whisper escaping the event horizon, defying classical intuition. The concept of an "electronic black hole" (EBH) represents a fascinating interdisciplinary bridge between astrophysics and condensed matter physics, offering a terrestrial analogue for cosmic singularities. Unlike their gravitational counterparts, EBHs are meticulously engineered material systems (e.g., advanced semiconductors, metamaterials, or quantum dots) designed to create a region where electrons or their associated energy waves (like phonons or plasmons) are irreversibly absorbed, trapped, or channeled, preventing reflection. This paper explores the theoretical underpinnings and practical implications of EBHs, highlighting their defining characteristics: unidirectional energy flow, near-perfect absorption, and suppression of reflection. Potential applications span highly efficient energy harvesting, advanced thermal management, electromagnetic stealth, and even as platforms for exploring analogue gravity phenomena like Hawking radiation at accessible scales. While significant challenges remain in optimizing efficiency, scalability, and precise control, EBHs represent an active and promising research frontier with the potential to revolutionize our command over energy at the nanoscale.
Keywords : - Black Hole, Electronics, Artificial Intelligence, Absorption, Electromagnetic,
Unidirectional energy flow.

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1. Parihar B, Kiran A, Valaboju S, Rashid SZ, Liyakat KK, DR AS. Enhancing Data Security in Distributed Systems Using Homomorphic Encryption and Secure Computation Techniques. InITM Web of Conferences 2025 (Vol. 76, p. 02010). EDP Sciences.
2. Vakiti SR, Subhadra H. IoT-Enhanced Wireless Power Transmission for Smart and Sustainable EV Charging. In2024 Recent Advances in Sustainable Engineering and Future Technologies (RASEFT) 2024 Dec 27 (pp. 130-135). IEEE.
3. Jacquet MJ, Weinfurtner S, König F. The next generation of analogue gravity experiments. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2020 Aug 7;378(2177).
4. Prasad KR, Karanam SR, Ganesh D, Liyakat KK, Talasila V, Purushotham P. AI in public-private partnership for IT infrastructure development. The Journal of High Technology Management Research. 2024 May 1;35(1):100496.
5. Liyakat KK. Detecting malicious nodes in IoT networks using machine learning and artificial neural networks. In2023 International Conference on Emerging Smart Computing and Informatics (ESCI) 2023 Mar 1 (pp. 1-5). IEEE.
6. Liyakat KK. Malicious node detection in IoT networks using artificial neural networks: A machine learning approach. InIntelligent Networks 2024 Dec 12 (pp. 182-197). CRC Press.
7. Sain ZH, Vasudevan A, Thelma CC, Asfahani A. Harnessing ChatGPT for effective assessment and feedback in education. Journal of Computer Science and Informatics Engineering. 2024 Apr 30;3(2):74-82.
8. Ekins P. Step changes for decarbonising the energy system: research needs for renewables, energy efficiency and nuclear power. Energy Policy. 2004 Nov 1;32(17):1891-904.
9. Ribeiro LC, Korsa MT, Saotome O, Adam J, Hansen RM. Design of a micro-machined flow sensor for aircraft air data systems application: Mechanical considerations. InProceedings of the International Conference on Microelectronics and Microsystems Technology ICMMT 2020 Dec (pp. 10-11).
10. Prates PA, Pereira AF. Recent advances and applications of machine learning in metal forming processes. Metals. 2022 Aug 12;12(8):1342.
11. Wang S, Olejnik D, De Wagter C, van Oudheusden B, de Croon G, Hamaza S. Battle the wind: Improving flight stability of a flapping wing micro air vehicle under wind disturbance with onboard thermistor-based airflow sensing. IEEE Robotics and Automation Letters. 2022 Jul 13;7(4):9605-12.
12. Stuber L, Jeger SL, Zufferey R, Floreano D. Miniature multihole airflow sensor for lightweight aircraft over wide speed and angular range. IEEE Robotics and Automation Letters. 2025 Sep 1.
13. Youssef H, Fabian M, Khanafer M, Naher S, Grattan KT, Sun T. Machine Learning Models for Analyzing FBG Pressure Sensor Data in Monitoring Leak in Water Pipeline. IEEE Internet of Things Journal. 2026 Mar 31.
14. Kazi KS. KK Approach to Increase Resilience in Internet of Things: A T-Cell Security Concept. InCryptography, Biometrics, and Anonymity in Cybersecurity Management 2025 (pp. 199-228). IGI Global Scientific Publishing.
15. Kazi KS. KK Approach for IoT Security: T-Cell Concept. InDeep Learning Innovations for Securing Critical Infrastructures 2025 (pp. 367-388). IGI Global Scientific Publishing.
16. Kazi KS, Shinde SS, Nerkar PM, Kazi SS, Kazi VS. Machine learning for brand protection: A review of a proactive defense mechanism. Avoiding Ad Fraud and Supporting Brand Safety: Programmatic Advertising Solutions. 2025:175-220.
17. SilpaRaj M, Kumar RS, Jayakumar K, Gopila M, Kumar SS, Liyakat KK. Scalable Internet of Things Enabled Intelligent Solutions for Proactive Energy Engagement in Smart Grids Predictive Load Balancing and Sustainable Power Distribution. InInternational Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024) 2025 May 23 (pp. 1004-1016). Atlantis Press.
18. Kazi K. Modelling and Simulation of Electric Vehicle for Performance Analysis: BEV and HEV Electrical Vehicle Implementation Using Simulink for E-Mobility Ecosystems. InE-Mobility in Electrical Energy Systems for Sustainability 2024 (pp. 295-320). IGI Global Scientific Publishing.
19. Kazi KS. Advancing Towards Sustainable Energy With Hydrogen Solutions: Adaptation and Challenges. InGeopolitical Landscapes of Renewable Energy and Urban Growth 2025 (pp. 357-394). IGI Global Scientific Publishing.
20. Heinz B, Erdmann G. Dynamic effects on the acceptance of hydrogen technologies—an international comparison. International journal of hydrogen energy. 2008 Jun 1;33(12):3004-8.
21. Dhruv VK, Singh DP, Asrani A, Kumar D, Prasad B. Supercapacitors for electric vehicles: Advancements in sustainable energy storage. InAIP Conference Proceedings 2026 Mar 6 (Vol. 3365, No. 1, p. 020008). AIP Publishing LLC.

The universe, in its grand cosmic ballet, is replete with mysteries, and among the most profound are the enigmatic black holes. These celestial behemoths, born from the collapse of massive stars, warp spacetime to such an extent that nothing, not even light, can escape their gravitational embrace. Their behavior, governed by Einstein's theory of General Relativity, pushes the boundaries of our understanding, presenting phenomena like Hawking radiation – a quantum whisper escaping the event horizon, defying classical intuition. The concept of an "electronic black hole" (EBH) represents a fascinating interdisciplinary bridge between astrophysics and condensed matter physics, offering a terrestrial analogue for cosmic singularities. Unlike their gravitational counterparts, EBHs are meticulously engineered material systems (e.g., advanced semiconductors, metamaterials, or quantum dots) designed to create a region where electrons or their associated energy waves (like phonons or plasmons) are irreversibly absorbed, trapped, or channeled, preventing reflection. This paper explores the theoretical underpinnings and practical implications of EBHs, highlighting their defining characteristics: unidirectional energy flow, near-perfect absorption, and suppression of reflection. Potential applications span highly efficient energy harvesting, advanced thermal management, electromagnetic stealth, and even as platforms for exploring analogue gravity phenomena like Hawking radiation at accessible scales. While significant challenges remain in optimizing efficiency, scalability, and precise control, EBHs represent an active and promising research frontier with the potential to revolutionize our command over energy at the nanoscale.
Keywords : - Black Hole, Electronics, Artificial Intelligence, Absorption, Electromagnetic,
Unidirectional energy flow.

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

1. Parihar B, Kiran A, Valaboju S, Rashid SZ, Liyakat KK, DR AS. Enhancing Data Security in Distributed Systems Using Homomorphic Encryption and Secure Computation Techniques. InITM Web of Conferences 2025 (Vol. 76, p. 02010). EDP Sciences.
2. Vakiti SR, Subhadra H. IoT-Enhanced Wireless Power Transmission for Smart and Sustainable EV Charging. In2024 Recent Advances in Sustainable Engineering and Future Technologies (RASEFT) 2024 Dec 27 (pp. 130-135). IEEE.
3. Jacquet MJ, Weinfurtner S, König F. The next generation of analogue gravity experiments. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2020 Aug 7;378(2177).
4. Prasad KR, Karanam SR, Ganesh D, Liyakat KK, Talasila V, Purushotham P. AI in public-private partnership for IT infrastructure development. The Journal of High Technology Management Research. 2024 May 1;35(1):100496.
5. Liyakat KK. Detecting malicious nodes in IoT networks using machine learning and artificial neural networks. In2023 International Conference on Emerging Smart Computing and Informatics (ESCI) 2023 Mar 1 (pp. 1-5). IEEE.
6. Liyakat KK. Malicious node detection in IoT networks using artificial neural networks: A machine learning approach. InIntelligent Networks 2024 Dec 12 (pp. 182-197). CRC Press.
7. Sain ZH, Vasudevan A, Thelma CC, Asfahani A. Harnessing ChatGPT for effective assessment and feedback in education. Journal of Computer Science and Informatics Engineering. 2024 Apr 30;3(2):74-82.
8. Ekins P. Step changes for decarbonising the energy system: research needs for renewables, energy efficiency and nuclear power. Energy Policy. 2004 Nov 1;32(17):1891-904.
9. Ribeiro LC, Korsa MT, Saotome O, Adam J, Hansen RM. Design of a micro-machined flow sensor for aircraft air data systems application: Mechanical considerations. InProceedings of the International Conference on Microelectronics and Microsystems Technology ICMMT 2020 Dec (pp. 10-11).
10. Prates PA, Pereira AF. Recent advances and applications of machine learning in metal forming processes. Metals. 2022 Aug 12;12(8):1342.
11. Wang S, Olejnik D, De Wagter C, van Oudheusden B, de Croon G, Hamaza S. Battle the wind: Improving flight stability of a flapping wing micro air vehicle under wind disturbance with onboard thermistor-based airflow sensing. IEEE Robotics and Automation Letters. 2022 Jul 13;7(4):9605-12.
12. Stuber L, Jeger SL, Zufferey R, Floreano D. Miniature multihole airflow sensor for lightweight aircraft over wide speed and angular range. IEEE Robotics and Automation Letters. 2025 Sep 1.
13. Youssef H, Fabian M, Khanafer M, Naher S, Grattan KT, Sun T. Machine Learning Models for Analyzing FBG Pressure Sensor Data in Monitoring Leak in Water Pipeline. IEEE Internet of Things Journal. 2026 Mar 31.
14. Kazi KS. KK Approach to Increase Resilience in Internet of Things: A T-Cell Security Concept. InCryptography, Biometrics, and Anonymity in Cybersecurity Management 2025 (pp. 199-228). IGI Global Scientific Publishing.
15. Kazi KS. KK Approach for IoT Security: T-Cell Concept. InDeep Learning Innovations for Securing Critical Infrastructures 2025 (pp. 367-388). IGI Global Scientific Publishing.
16. Kazi KS, Shinde SS, Nerkar PM, Kazi SS, Kazi VS. Machine learning for brand protection: A review of a proactive defense mechanism. Avoiding Ad Fraud and Supporting Brand Safety: Programmatic Advertising Solutions. 2025:175-220.
17. SilpaRaj M, Kumar RS, Jayakumar K, Gopila M, Kumar SS, Liyakat KK. Scalable Internet of Things Enabled Intelligent Solutions for Proactive Energy Engagement in Smart Grids Predictive Load Balancing and Sustainable Power Distribution. InInternational Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024) 2025 May 23 (pp. 1004-1016). Atlantis Press.
18. Kazi K. Modelling and Simulation of Electric Vehicle for Performance Analysis: BEV and HEV Electrical Vehicle Implementation Using Simulink for E-Mobility Ecosystems. InE-Mobility in Electrical Energy Systems for Sustainability 2024 (pp. 295-320). IGI Global Scientific Publishing.
19. Kazi KS. Advancing Towards Sustainable Energy With Hydrogen Solutions: Adaptation and Challenges. InGeopolitical Landscapes of Renewable Energy and Urban Growth 2025 (pp. 357-394). IGI Global Scientific Publishing.
20. Heinz B, Erdmann G. Dynamic effects on the acceptance of hydrogen technologies—an international comparison. International journal of hydrogen energy. 2008 Jun 1;33(12):3004-8.
21. Dhruv VK, Singh DP, Asrani A, Kumar D, Prasad B. Supercapacitors for electric vehicles: Advancements in sustainable energy storage. InAIP Conference Proceedings 2026 Mar 6 (Vol. 3365, No. 1, p. 020008). AIP Publishing LLC.