Welcome Dr. Satya Prakash Pati as Section Editor for Discover Applied Sciences
Dr. @Satya Prakash Pati joined the Discover Applied Sciences Editorial Board in 2018. He has always been keen to contribute towards the Journal's growth and development. He expressed his interest to increase his engagement with the journal and move to the role of a Section editor when we announced the position.
We had a brief discussion about the role and its responsibilities, and he graciously accepted to be the Section editor of the journal’s section Physics/Materials Science.
Here's a short interview with our new Section Editor:
What is your current research focused on?
My current research focuses on experimental condensed matter physics with a strong emphasis on ion transport in solid-state systems for next-generation, low-power electronic devices. I investigate voltage-controlled magnetic and electronic phenomena, such as magnetic anisotropy, exchange bias, spin waves, and proton intercalation, to develop energy-efficient information processing technologies. My work also explores magnetoelectronic effects, including magnetoelectric switching and interface exchange coupling in complex magnetic multilayers. Additionally, I study spin-orbit coupling, Dzyaloshinskii–Moriya interactions, and antiferromagnetic spintronics, aiming to control magnetic phase transitions at the nanoscale. A key focus is on magnetization dynamics, including spin-wave generation, spin-Hall, and spin-Seebeck effects, for innovative spintronic applications.
What are the most interesting emerging topics or new technologies/new developments in your field of research?
Emerging topics in my field include protonic neuromorphic devices that mimic biological synapses for ultra-low-power AI and healthcare applications. Voltage-controlled spintronic and magnetoelectric devices are enabling next-generation memory and logic with minimal energy dissipation. Advances in complex oxide heterostructures offer precise control of magnetic phase transitions and spin-wave dynamics. Spin caloritronics—utilizing spin-Seebeck and inverse spin Hall effects—shows promise for energy harvesting and spin-based logic. Together, these developments are driving brain-inspired and sustainable electronic technologies.
Tell us about your role as an Editorial Board Member (EBM) on the journal Discover Applied Sciences and your vision as a Section Editor, and what made you want to take up this role!
As an Editorial Board Member (EBM) of Discover Applied Sciences, I actively contribute to maintaining the journal’s high scientific standards by guiding peer review, evaluating manuscripts, and identifying emerging research directions. As a Section Editor, my vision is to attract and promote high-quality manuscripts in the areas of condensed matter physics, spintronics, and energy-efficient electronic devices while broadening the journal’s global readership. I am committed to enhancing the journal’s visibility by engaging with international research communities, encouraging impactful submissions, and highlighting breakthrough work that addresses societal and technological challenges. I took up this role out of a strong passion for advancing scholarly communication, mentoring young researchers, and building a dynamic platform that serves as a trusted source of cutting-edge applied sciences.
Do you have any advice for new members of the board?
My advice for new members of the board is to stay deeply engaged with the latest research trends and actively contribute to enhancing the journal’s quality and reach. It is important to promote fair, constructive, and timely peer review while encouraging submissions of impactful and innovative research. I would also suggest leveraging your professional network to attract high-quality manuscripts and expand the journal’s readership. Above all, maintain a collaborative spirit, share your expertise generously, and strive to uphold the journal’s vision of becoming a global platform for cutting-edge science.
What do you enjoy most or look forward to about your work on the journal?
What I enjoy most about my work on the journal is the opportunity to engage with groundbreaking research and contribute to shaping the future direction of applied sciences. I particularly value the process of curating high-quality manuscripts, which allows me to learn about emerging technologies while ensuring the journal remains a trusted platform for innovative ideas. I also look forward to collaborating with a global network of researchers and editors, promoting impactful studies, and enhancing the journal’s visibility among a wider readership.
Lovely to have you onboard in this new role, Dr. @Satya Prakash Pati, and I am sure your contribution will help the journal reach new heights!
Follow the Topic
-
Discover Applied Sciences
This is a multi-disciplinary, peer-reviewed journal for the disciplines of Applied Life Sciences, Chemistry, Earth and Environmental Sciences, Engineering, Materials Science and Physics, fostering sound scientific discovery to solve practical problems.
Related Collections
With Collections, you can get published faster and increase your visibility.
Engineering: Intelligent Manufacturing: IoT, AI/ML, Robotics, and Smart Materials in Industry 4.0/5.0
This collection aims to drive transformative innovation in the field of advanced manufacturing by exploring the powerful convergence of emerging technologies such as the Internet of Things (IoT), Artificial Intelligence and Machine Learning (AI/ML), Additive Manufacturing (AM), Shape Memory Alloys (SMAs), and next-generation Robotics. These technologies are reshaping the industrial landscape by enabling intelligent decision making, adaptive production strategies, human–machine collaboration, and seamless connectivity in manufacturing environments.
The objective of the collection is to examine how smart and data-driven manufacturing ecosystems can accelerate product development, enhance customization, improve sustainability, and enable rapid reconfiguration from conceptual design to fully functional product deployment. Emphasis is placed on intelligent materials, cyber-physical production systems, real-time monitoring, predictive maintenance, automated assembly, and closed-loop process optimization.
This collection welcomes high-quality original research articles, case studies, and comprehensive reviews that highlight cutting-edge advancements, practical implementations, and future opportunities in:
Smart factories and Industry 4.0/5.0 manufacturing practices
AI/ML-driven process control, design optimization, and defect analysis
Additive manufacturing innovations, including novel materials and hybrid systems
Application of SMAs and responsive materials in adaptive structures
IoT-enabled sensing, monitoring, and supply chain connectivity
Robotics and automation solutions for efficiency, quality, and human–machine integration
Submissions relevant to sustainable, energy-efficient, and environmentally responsible manufacturing are highly encouraged. Through this interdisciplinary focus, the collection seeks to advance the state of knowledge and support the development of intelligent, scalable, and resilient future manufacturing systems.
This Collection supports and amplifies research related to SDG 6, SDG 7, SDG 8, SDG 9, SDG 11and SDG 12.
Keywords: Advanced Manufacturin; Smart Materials; Internet of Things (IoT); Artificial Intelligence; Machine Learning; Additive Manufacturing; Shape Memory Alloys; Industry 4.0; Smart Factories; Cyber Physical Systems; Predictive Maintenance; Robotics and Automation; Sustainable Manufacturing; Digital Twin Technology; Intelligent Process Optimization
Publishing Model: Open Access
Deadline: Feb 21, 2027
Engineering: Machine Learning, AI, and Deep Learning Applications in Microwave Engineering: Devices and Communication
This Collection is dedicated to highlighting the application of Machine Learning (ML), Artificial Intelligence (AI) and Deep Learning (DL) in the field of Microwave Engineering: Devices and Communication. It will concentrate on AI/ML/DL approaches in Microwave Engineering, which includes new breakthroughs, design and performance techniques of various Microwave Devices like Antennas, Filters, Couplers etc. Starting with single/multiband antennas, this topical collection will showcase the application of AI/ML/DL in the design and/or performance features of wideband to super wideband antennas including Multiple-Input-Multiple-Output (MIMO) antenna structures suited for wireless communication.
It will also focus on the use of AI/ML/DL in various aspects of Terrestrial and/or Satellite-based Microwave Communication: Processes, Algorithms and Protocols.
Publishing Model: Open Access
Deadline: Dec 31, 2026