Author : Fernando Gomes de Souza Jr.
Publisher : Fernando Gomes de Souza Junior
Page : 170 pages
File Size : 32,79 MB
Release : 2023-06-29
Category : Science
ISBN : 6500725263
Book Description
This book is a unique collection of abstracts from inaugural Brazil – India – Cuba – China – United Kingdom (BIC²UK) Conference on Materials & Machine Learning. As part of the International Scientific Convention "Universidad de La Habana 2023", it celebrates the 295th anniversary of the University of Havana. The volume encapsulates the most remarkable works in the field of Machine-Learning-Assisted Nanomaterials, covering a wide range of applications from Simulation to Imaging. The abstracts, translated into Spanish, Chinese, and Portuguese, reflect the global reach of this groundbreaking research. Special thanks are extended to the Chairpersons who have made this event possible: - Professor Sabu Thomas from Mahatma Gandhi University, India, whose inspirational leadership continually motivates us to strive for excellence. - Professor Dionisio Zaldiva Silva from Havana University, Cuba, who graciously invited us to participate in Saber 2023. - Professor Diganta Das from Loughborough University, UK, a valued friend and colleague whose support has been invaluable. - Professors Yuqing Miao and Ruizhuo Ouyang from the University of Shanghai for Science and Technology, China, whose unwavering support has been instrumental in the success of this event. - Professor Kaushik Pal from Chandigarh University, India, our friend and International Convener, whose contributions have been pivotal to the conference. We also extend our gratitude to all the speakers who have shared their insights and expertise, the dedicated BIC²UK team who worked tirelessly to ensure the event's success, and all our sponsors, with a special mention to FAPERJ. Their collective efforts have made this conference and this book a reality. This book is more than a collection of abstracts; it is a testament to international collaboration, the power of shared knowledge, and the exciting future of nanomaterials and machine learning. Enjoy the journey through these pages. Fernando Gomes de Souza Jr. (Ed.)
